Product qualified account funnel

Crafting an Effective Account Prioritization Strategy in Sales

Strategic account prioritization is key to realizing the full potential of your sales efforts. Emphasizing this stance, Emerton postulates that “a winning account-centric strategy creates a system where all stakeholders work efficiently to grow share at the accounts, renewing their competitive advantage, fueling profitable growth, and generating overall better ROI on marketing and sales expenditures.”

Although account prioritization may be crucial to a business, not everyone recognizes its value. Any salesperson can utilize account prioritization to generate a strong pipeline if they do it well, but it isn’t given the attention it deserves despite its obvious worth. Salespeople can achieve rapid and significant improvements by focusing on high-potential customers and minimizing time spent on others. Here are steps to implement a powerful account prioritization system:

Exploring the Benefits of Account Prioritization

Well, here are three compelling reasons why account prioritization is worth implementing:

Time Savings

Prioritizing accounts saves time in the long run. By understanding which customers have the greatest potential impact on the company’s bottom line, salespeople can focus their efforts on high-value leads. Just like planning a trip, prioritization ensures you spend your time on the most important attractions and don’t waste it on less rewarding activities. With limited time and countless distractions, prioritization is crucial to maximizing productivity and results.

Acquiring the Trusted Advisor Status

Account prioritization transforms salespeople into trusted advisors for their most valuable customers. Salespeople can build credibility and trust by nurturing relationships and investing time in the right accounts. Customers who have already purchased are likely to buy again, and prioritization helps identify those key accounts and individuals within them. This strategic focus on long-term relationships fosters customer loyalty and positions the salesperson as the preferred provider.

Performance Tracking

Account prioritization enables salespeople to track their performance effectively. By calculating indices such as potential purchase, probability of transaction, urgency, and customer satisfaction, sales teams can estimate the value of their accounts. If sales numbers are disappointing, prioritization provides insights to adjust strategies and improve sales performance. It also facilitates better account and pipeline management, increasing sales productivity and meeting quarterly targets.

Focus on Your Ideal Customer Profile (ICP) for Acquisition and Development

Your Ideal Customer Profile (ICP) represents the sweet spot in your account base – clients with a low customer acquisition cost (CAC) and high spending potential. Your sales team must understand your ICP and target their efforts accordingly. By prioritizing ICP accounts, you ensure the best returns in the short term and set the stage for long-term success. 

  • Analyze your most valuable clients and identify firmographic similarities.
  • Develop targeted lists based on these factors for prospecting and account development.
  • Ensure your entire revenue team is aligned with the ICP and devotes time and resources to these accounts first.

Identify Propensity-to-Buy (PtB) for Timely Opportunities

Targeting organizations with an appetite for your offerings is a good start, but focusing on accounts that match your ICP accelerates results. However, ICP alone is not sufficient. To determine their purchasing potential, you must assess each account’s propensity to buy (PtB).

  • Analyze sales performance and identify statistically relevant factors for your business.
  • Seek input from sales leaders to rank the importance of each factor and assign weights for scoring accounts.
  • Validate your assumptions by reviewing a sample account list with sellers for feedback.
  • Optimize Account Prioritization and Seller Coverage.
  • Are your top performers handling your highest potential accounts? Ensure optimal account coverage and prioritize resources for maximum impact. To achieve this:
  • Identify vulnerable or high-potential accounts that require attention.
  • Align your best team members with these accounts to deliver maximum value.
  • Assess areas such as potential churn, open territories, and high-potential accounts needing strategic pursuit.

Account Size and Upselling Potential

Sales teams prioritize larger accounts since they often have higher revenue potential. Likewise, it’s beneficial to think about upselling opportunities inside an account. The most effective way for sales teams to improve their income is to focus on the accounts most likely to make further purchases.

Assess the Account’s Strategic Significance

Some clients may fit the firm well because they share similar goals, markets, or products. By assigning these accounts top priority, you may better deploy your resources to take advantage of strategic possibilities that can increase your market share and your client base or give you a leg up on the competition. Strategic alignment enables sales teams to use their knowledge and skills better while focusing on the demands and objectives of their most valuable accounts.

Evaluate the Strength of the Relationship

Customers who have developed a strong relationship with the business are likelier to remain loyal and expand their business with the firm. So, what can you gain from investing time and energy into these relationships and consistently exceeding expectations? Well, sales teams can earn their customers’ loyalty, open doors to cross-selling possibilities, and solidify long-term partnerships.

5 Steps for an Effective Account Prioritization Strategy in Sales

  • Define Prioritization Criteria – Establish clear definitions for A, B, and C accounts. Avoid basing decisions solely on past performance and instead focus on future potential. For example, consider an A account as one with the potential to buy $1,000,000 worth of products/services per year. Develop a method to determine this potential, such as calculating each account’s Quantified Purchasing Capacity (QPC).
  1. Assess Potential and Partnerability –  Evaluate each customer’s QPC (potential purchasing capacity) and their likelihood of becoming a committed customer in the future (partnerability). Collecting and analyzing these variables will help rank prospects and customers based on their potential.
  2. Train Sales Team – Educate the sales team on the established prioritization concepts and criteria. Set a deadline for them to analyze and rate their customers using the defined system. Provide forms or tools to facilitate the process and encourage a fresh perspective.
  3. Define Time Allocation Rules – Establish rules for time allocation with accounts. Emphasize spending 50% of the time on A accounts and the remaining 50% on other accounts. This ensures that salespeople dedicate their efforts to high-potential customers while still maintaining a balance with other accounts.
  4. Manage Implementation – Monitor and manage the implementation of the account prioritization system. Discuss the system during salesperson rides, incorporate it into sales meetings, and evaluate its effectiveness regularly. Encourage accountability and track evidence of adherence to the system. 

Account Prioritization vs. Lead Scoring

Both account prioritization and lead scoring for PLG revolve around prioritization processes, although they function on separate levels and apply different criteria. Larger accounts are given more priority in account prioritization based on criteria such as account size, upselling potential, strategic relevance, and relationship strength. 

Conversely, leveraging user behavior in a product-led growth (PLG) model is all about mining information about a lead’s interactions with a product for clues about how likely they are to convert. It is possible for businesses to better spend their sales resources by gaining a deeper comprehension of the connections between user behavior and conversion.

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Navigating the Shift From Sales-led to product-led

The world of business is filled with paradigms, models, and frameworks, each promising a path to success. But few shifts in thinking have been as transformative as the one from sales-led to product-led growth. It’s not merely a change in focus or a new buzzword; it’s a foundational alteration in how B2B companies approach growth, where products become the primary drivers, reshaping strategies, customer interactions, and even the cultural fabric of organizations.

While product-led growth (PLG) has captured the imagination of many and has become a dominant model, it is essential to underline that it is not a universal solution. The decision to adopt PLG or a hybrid model integrating both sales and product-led strategies must be finely tuned to the unique needs, strengths, and goals of a company. The path to PLG may include leveraging sales teams for upsells or handling complex deals, recognizing that traditional methods still have their place in the modern business landscape.

Since 2020, Pendo found that 89% of product leaders perceive their companies as being product-led. Gartner predicts that by 2025, 75% of SaaS providers will implement product-led growth techniques to foster growth and expansion among their existing customer base. This revolution places products at the forefront, serving as the primary growth driver within these organizations. It signifies a fundamental change in perspective, highlighting the critical role that products play in shaping the overall success and trajectory of the company.

Product-led Growth versus Sales-led Growth

We already discussed that different models fit different companies, but to understand the shift from product-led growth towards sales-led growth, we should assess the main differences between these two major growth avenues. 

Emphasizing Product Experience 

Product-led sales prioritize the product experience as the primary driver of sales, whereas traditional sales methods focus on relationship-building and outreach efforts.

Sales Processes

Product-led growth follows a product-centric and often self-service sales process, whereas traditional sales methods emphasize face-to-face interactions and sales pitches.

Sales Cycle Time 

Businesses with a product-led approach have a significantly shorter sales cycle, as customers can use the product to understand its value and make informed buying decisions. In contrast, traditional sales methods often involve a longer sales cycle due to the need for relationship-building and decision-making.

Lead Generation

Lead generation for product-led sales relies on the product itself. However, traditional sales methods mostly rely on external lead sources like events, cold calls, and email campaigns.

Exploring the Benefits of Product-led Growth

Quite frankly, product-led growth empowers businesses to unlock new possibilities, seize opportunities, and deliver exceptional value to customers at every stage. Why should the most innovative businesses consider product-led sales? Well, these benefits make the case for its unprecedented potential:

Diminishing Customer Acquisition Costs (CAC) 

All product-led growth organizations have lower CAC since they don’t need to invest much in marketing and advertising. As word-of-mouth promotes your product, new people will sign up for the free or low-cost versions and eventually upgrade to the paid versions.

Enhanced Product Feedback 

Listening to the customer experience will lead you to spend more time gathering feedback now that your product will be front and center.

Improved User Retention 

Users who try a product and don’t like it tend to quit using it. However, product-led businesses aim to provide user-friendly solutions to actual issues. Therefore, your firm will retain more customers if it prioritizes the product above everything else.

Greater Median Enterprise Value 

OpenView reports that “the median enterprise value (EV) of PLG companies is 2X higher than the public SaaS index as a whole.” Companies with a strong focus on their products tend to create solutions that better serve their customers. Customers will return and may even tell others about your goods if you do a good job.

Faster Revenue Growth 

According to Bain, companies that primarily rely upon PLG have a higher success rate in exceeding the Rule of 40 and the more ambitious Rule of 50. The Rule of 40 states that a company should have a combined revenue growth rate and EBITDA margin of at least 40%. Similarly, the Rule of 50 sets a higher bar with a combined rate of 50%.

Challenges of Implementing Product-led Sales

Notwithstanding the possibilities introduced by product-led sales, several challenges prevail:

Addressing Implicit Biases

When analyzing usage data, it’s essential to acknowledge and address the implicit biases that product teams may have. By fostering a culture of self-awareness and encouraging diverse perspectives, you can ensure that interpretations and actions are based on objective observations rather than preconceived notions.

Embracing User Unpredictability

Users can be unpredictable, and their behavior may not always align with your expectations. Free trial experiences may introduce randomness into the data, with varying engagement and conversion levels. By anticipating and accounting for these variations, you can better understand user behavior and tailor your strategies accordingly.

Leveraging Human Elements

Whereas PLG primarily accentuates data integration and automation, it’s essential to recognize and leverage the human elements of intelligence, experience, and behavior. Hence, most enterprises should incorporate the expertise and insights of their team members to complement the data-driven approach. Subsequently, this synergy of human intelligence and data-driven insights will drive PLG success.

Strategies for Implementing PLG

Without a doubt, embracing a product-led approach entails a bold transformation, redefining every aspect of your business strategy, organizational structure, infrastructure, and policies. These four PLG strategies mandate a paradigm shift in mindset, paving the way for innovative ways of operating and collaborating throughout the entire product life cycle:

Growth Loops 

Growth loops are replacing traditional sales and marketing funnels. Funnels create silos and one-directional flow, while growth loops emphasize cross-functional collaboration and continuous growth over time. They leverage existing customers to bring in new customers through low-effort referrals and viral strategies.

Hook Model 

The Hook Model focuses on creating habit-forming products. By understanding triggers, actions, variable rewards, and investments, you can design products that engage users and keep them returning. This model addresses emotional needs and patterns, allowing your product to become a part of users’ everyday lives.

BJ Fogg Behavior Model

This type emphasizes the importance of onboarding, engagement, and product design. It considers three factors: ease of use, value proposition, and prompts. You can drive user behavior and foster long-term engagement by making your product easy to use, communicating its value effectively, and providing timely prompts.

RICE Prioritization 

RICE is a framework for prioritizing product launches, updates, and experiments. It evaluates ideas based on Reach, Impact, Confidence, and Effort. Quantifying these factors allows you to make data-informed decisions, reduce bias, and effectively prioritize your backlog. RICE helps ensure that both product improvements and PLG strategies receive appropriate attention.

Considering the Shift: Is Product-Led Growth Right for You?

The shift from sales-led to product-led growth is more than a strategic reorientation; it’s a complex transformation that may fundamentally alter the way your organization operates. Before embarking on this journey, carefully evaluate whether your product can become the centerpiece of your growth strategy. Consider your target market, the nature of your offerings, and your organizational strengths. Assess how PLG aligns with your long-term vision and how it might interact with existing sales strategies. Engage with stakeholders, including sales and product teams, to gauge readiness and alignment. Most importantly, recognize that PLG is not a one-size-fits-all solution, and the hybrid approach may present an appealing middle ground. Whether fully embracing PLG or blending it with traditional sales efforts, the decision should be deliberate, informed, and tailored to your unique business landscape.

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Mastering the Growth Game: A Guide to Diverse Sales Strategies

James Cash Penney, JCPenney’s founder, once said, “No company can afford not to move forward. It may be at the top of the heap today but at the bottom of the heap tomorrow if it doesn’t.”

To propel their expansion and drive revenue, companies employ various growth motions. From sales-led growth to product-led growth, founder-led growth, and marketing-led growth, each strategy offers unique advantages and challenges. Let’s delve into the particularities of these strategies alongside their benefits, challenges, and best use cases.

Sales-led Growth

Sales-led growth is a strategy emphasizing sales processes and people to increase revenue. In a sales-driven growth strategy, the sales staff takes center stage, and their efforts significantly influence the company’s overall success. Although the marketing department still has some say in how the brand is portrayed, the sales division ultimately determines the company’s success or failure. 

SFE Partners indicates that “With a sales-led go-to-market strategy, salespeople can target specific accounts or segments of leads to find change-makers in an organization.” In contrast to product or marketing-led approaches, salespeople may give high-value information to best fit prospective customers much sooner using this method.

Advantages of Sales-led Growth

Usually, businesses prioritize acquisition, transaction closure, and revenue development when sales teams are in charge. This approach empowers the sales force to steer company results and build lasting customer connections. According to Substack, “The sales team can help customers understand the product better and provide personalized solutions.”  Companies like Oracle and Microsoft have taken this strategy to heart by maximizing their sales force’s impact.

Challenges of Implementing Sales-led Growth

Most enterprises may have internal divisions if sales are the driving force behind expansion. Potentially neglected by this approach are customer service and customer success, both essential to expanding a firm. When departments work in silos, it may dilute the quality of leads and the sales funnel’s effectiveness and reduce the likelihood of deals being closed. There has to be harmony between the sales, marketing, and support departments.

Best Use Cases for Sales-led Growth

Sales-led growth is most efficient when the sales force is heavily involved in generating revenue and client acquisition. It works effectively for companies that depend on consultative selling strategies, complicated sales cycles, or a high volume of one-on-one customer encounters. Sales-driven expansion is generally successful in sectors where human relationships and networking are crucial, such as corporate software and high-value B2B products.

Product-led Growth

Gainsight found that a majority 58% of companies already embrace this innovative growth motion. It’s not just limited to a specific size or product type, as organizations of all scales have jumped on the PLG bandwagon, with 40% having an annual contract value (ACV) exceeding $25K. Besides,  91% of these companies plan to further invest in PLG, with an ambitious 47% aiming to double down on their existing investment. 

Product-led growth is all about making a great product people love using and spreading the word about using viral loops to expand your business. The focus is on the product rather than promotion or advertising, which may save costs. Products like Slack, Netflix, and Zoom have found success because of the way their users interact with the platform.

Advantages of Product-led Growth

It has been demonstrated that PLG companies grow 25% quicker than their competitors and are more likely to double their year-over-year revenue growth, as per the findings of Openview Partners

Companies can acquire users organically through viral loops, such as inviting users or being part of online communities. Once the viral coefficient takes effect, the product’s scalability and automation reduce reliance on traditional marketing and sales distribution channels. In addition, PLG offers lower customer acquisition costs (CAC) by leveraging the product’s inherent virality.

Challenges of Implementing Product-led Growth

Although PLG has great potential, it might still require some early marketing to find the right audience and boost visibility. Putting all of one’s faith in the product alone may be questionable to spur expansion since additional marketing and sales assistance may be required. In addition, it might be difficult to strike a balance between promoting product self-service and offering comprehensive assistance to business clients.

Best Use Cases of Product-Led Growth

SaaS businesses of all sizes, as well as collaborative or communicative software, may benefit greatly from PLG. It does well in markets where a superior customer experience significantly impacts new customer acquisition and business expansion. PLG works best for products that have the potential to become viral, in which consumers may spread the word about the product in an organic way and generate a network effect. Often, a PLG approach is useful for start-ups and enterprises who want to shorten sales cycles, expedite user onboarding, and emphasize product experience.

Founder-led Growth

Peculiar in its reliance on the personal brand and influence of the company’s founder or CEO, “founder-led growth” is a unique growth strategy. When a firm or product becomes successful due to the founder’s name recognition and reputation, the company or product is said to have experienced “founder-led growth.” Steve Jobs and Elon Musk are just two business leaders whose charm, vision, and hands-on approach helped their firms explode in success. 

Purdue’s Krannert School of Management’s research highlights that S&P 500 companies where the founder remains actively involved as notable public figures generate 31% more patents than their counterparts. Founder-led companies demonstrate a fearless attitude towards risk-taking by making bold investments to revitalize and adapt their business models, showcasing their commitment to shaping the future through inventive strategies. 

Advantages of Founder-led Growth

Founder-led growth capitalizes on the personal branding and reputation of the founder, which can attract attention, investments, and customer loyalty. The founder’s influence creates a unique selling proposition and can generate trust and excitement around the company and its products. The founder’s vision and leadership can inspire and align employees with the company’s goals.

Challenges of Founder-led Growth

As the name outrightly suggests, successful founder-led expansion is highly dependent on the founder’s persona, connections, and reputation. Thus, it may be quite difficult to duplicate this approach if the founder’s influence is diminished. Unforeseen risks may arise if the founder departs or suffers a reputational setback since the company’s success may become reliant on them. Besides, expanding a company beyond the founder’s capabilities is difficult and calls for good delegation and a solid leadership team.

Best Use Cases of Founder-led Growth

When a company’s founder has a substantial personal brand and influence in their field or niche, they are in a prime position to drive growth. Start-ups and technology-based businesses where customers share the founder’s vision and drive are common examples. This may be effective for companies dependent on the founder’s experience and reputation, such as consulting firms, coaching enterprises, and those that rely on the founder as a thought leader.

Marketing-led Growth

Marketing-led growth is driven by marketing efforts, where customers are acquired through various marketing channels and strategies. Examples include content marketing, videos, blogs, eBooks, and other forms of engaging content. In other words, the overarching focus is on attracting customers through valuable content and building a differentiated brand narrative.

Accenture indicates that the key to achieving marketing-led growth lies in the seamless collaboration and integration of diverse customer data. The foundation of this process is built upon four layers encompassing client experience, work orchestration, ecosystem connectivity, and data & applied intelligence. Organizations can optimize each layer to enhance customer experiences, streamline internal workflows, foster connections with external partners, and leverage data-driven intelligence to fuel their marketing-led growth initiatives.

Advantages of Marketing-led Growth

With marketing as the core engine of expansion, businesses can update their brand stories, set themselves apart from competitors, and provide customers with valuable content. Without a doubt, it arises as a great tool for being noticed by customers, increasing brand awareness, and bolstering your reputation. Upgrades, social shares, recommendations, and customer reviews may all improve with this tactic.

Challenge of Marketing-led Growth

There are two main problems with marketing-driven growth. First, for efficient lead nurturing and customer understanding, seamless lead sharing between the marketing and sales departments must be seamless. Second, there is the risk of putting too much emphasis on client acquisition and not enough on customer retention.

Best Use Cases of Marketing-led Growth

Marketing-led growth is well-suited for service brands aiming to establish themselves as market leaders through organic growth. It is particularly effective in businesses with sustainable models that prioritize customer retention. Marketing-led growth is beneficial for sectors where customers seek quick self-help solutions and where content-driven engagement can effectively showcase the product or service’s value.

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Understanding the Key Differences and Synergies between RevOps vs SalesOps

Velocify maintains that high-performing companies are twice as likely as underperforming companies to describe their sales process as “closely monitored” or “strictly enforced or automated.” In fact, companies that align people, processes, and technology across their sales and marketing teams experience up to 36% more revenue growth and up to 28% more profitability, as concluded by Forrester

SalesOps and RevOps have emerged as critical business paradigms that achieve these aspects, but their benefits are usually hindered by the confusion surrounding their differences. Moving forward, we aim to address the most poignant differences between SalesOps and RevOps, exploring their objectives, responsibilities, and impact on the customer journey.

Exploring the Responsibilities of RevOps & SalesOps

According to Gartner, sales operations is a crucial strategic function that supports, enables, and drives effective sales objectives, strategies, and programs. 

BCG estimates that RevOps has enhanced the digital marketing ROI from 100% up to 200%. To achieve this, RevOps encompasses the following:

  • – Operations management (managing and optimizing resources, sales ops, marketing ops, customer success ops, and project management)
  • – Enablement (providing support to sales, marketing, and customer success teams through sales enablement, learning management, and performance management)
  • – Data analysis and insights (gathering data, providing insights for day-to-day operations and strategic planning)
  • – Tools (managing technology across sales, marketing, and customer success)
  • – Sales operations play an increasingly vital role in sales success, as Salesforce indicates that  89% of sales professionals emphasize its importance in growing their business. In this pursuit, SalesOps integrates:
  • – Data management (measuring and evaluating sales data)
  • – Forecasting (predicting future sales growth and needs)
  • – Sales tactics (using data analysis and forecasting to create sales strategies and objectives)
  • – Sales team support (providing support and training to sales representatives)
  • – Lead generation (attracting and converting prospects into leads)
  • – Sales incentives/commissions calculation (identifying and managing value for stakeholders)

Uncovering the Different Objectives of RevOps vs SalesOps

For businesses, efficiency is synonymous with success. RevOps and SalesOps share a primary goal: improving operational efficiency. However, their objectives differ based on their specialized areas. Adithya Krishnaswamy, Head of RevOps and Growth at Everstage, postulates, “RevOps was an evolution of Sales Ops when people realised it wasn’t just sales that needed operations anymore.”

SalesOps concentrates on enhancing sales operations, including customer relationship management, order processing, forecasting, and budgeting. It aims to drive efficiency within sales processes to maximize revenue. In other words, SalesOps ensures that the sales team is equipped with the necessary resources and tools to close deals, retain customers, and increase revenue. 

Conversely, RevenueOps takes a broader approach by including SalesOps and other related functions like finance and customer success operations. RevenueOps analyses the entire revenue generation process and seeks to optimize it. It aligns sales and marketing operations to drive revenue growth by identifying and fixing inefficiencies throughout the customer journey. 

RevOps vs SalesOps Impact on Customer Journey 

Well, the success of a business is contingent upon its capacity to establish and sustain favorable connections with its clientele. SalesOps and RevOps are both pivotal in improving the customer experience, albeit through distinct approaches.

The SalesOps department is dedicated to enhancing the quality of engagements between sales personnel and clients. The department is committed to removing any impediments that may impede the customer’s journey, guaranteeing that each sales funnel stage is optimized and effective. SalesOps teams are responsible for devising innovative strategies that enhance customer satisfaction and foster revenue generation.

RevOps endeavor to enhance customer conversion rates by furnishing a smooth and uninterrupted experience throughout all phases of the purchaser’s expedition. The comprehensive scope of this entails implementing inbound marketing strategies aimed at capturing the interest of prospective clients, as well as the execution of post-sale endeavors that foster brand loyalty and advocacy. RevOps strategies are formulated to maximize revenue generation by improving customer experience.

While SalesOps and RevOps may have distinct aims and objectives, forward-thinking businesses can integrate them. Sales Operations is commonly perceived as a sub-domain of the RevOps department in numerous organizations, facilitating seamless integration and data sharing between the two teams. Thus, the information gathered by Sales Operations can support Revenue Operations in their forecasting endeavors. In contrast, the data obtained by Revenue Operations can serve as a valuable resource for sales tactics and decision-making.

How to Know When to Deploy SalesOps vs RevOps

As businesses expand, it is crucial to consistently assess their operations and tactics to guarantee they are achieving their objectives. In this pursuit, it is advisable to determine the company’s needs and decide which is more beneficial for you: SalesOps or RevOps:

It might be time to deploy SalesOps if: 

  • – Your company needs someone dedicated to sales operations, especially if you’re a smaller or newer company looking to drive growth.
  • – Your sales team spends too much time organizing, planning, and strategizing instead of selling, which can be solved by a SalesOps team that simplifies the sales process.
  • – Your company is in the early stages, and you need to drive revenue before expanding your team further.
  • – Your sales reps need extra training to reach their full potential.

Conversely, it is advisable to integrate RevOps if:

  • – Your company is encountering hurdles when it comes to increasing revenue.
  • – You lack cross-departmental visibility and communication, which can be solved by implementing a RevOps framework.
  • – Your processes are outdated and need modernization, and RevOps can help automate and streamline your operations.
  • – You can’t tell what’s working and what’s not, and RevOps provides a bird’s eye view of the entire customer lifecycle to identify problems.
  • – You don’t have a long-term growth strategy; a RevOps team can help develop and implement one.
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Mastering Sales Metrics: Decoding PQLs and PQAs for a Winning Sales Strategy

The sales environment today is constantly changing, so it’s important to stay informed and adaptable. In order to ensure your sales team succeeds, understanding key concepts such as Product Qualified Leads (PQLs) and Product Qualified Accounts (PQAs) can be critical. Rather than being methodologies, PQLs and PQAs are essential elements of the sales process. This post explores PQLs and PQAs, their relevance in different scenarios, and their relationship to your sales team’s work. Knowing the differences between them and knowing when to use them will help your sales team succeed.

PQLs and PQAs vs MQLs and SQLs

Understanding MQLs and SQLs

To fully grasp the value of PQLs and PQAs, it’s important to compare them with other widely-used concepts in the sales world: Marketing Qualified Leads (MQLs) and Sales Qualified Leads (SQLs). MQLs are prospects identified by the marketing team as having the potential to become customers based on their interactions with marketing materials. SQLs, on the other hand, are leads that the sales team deems ready for a direct sales approach based on their level of interest and intent.

PQLs and PQAs: A Different Perspective

While MQLs and SQLs focus primarily on the level of engagement with marketing materials and sales readiness, PQLs and PQAs take a more product-centric approach. PQLs are prospects who have actively engaged with the product or service itself, while PQAs are organizations with multiple PQLs, signaling a high level of interest and potential for conversion.

Defining PQLs and PQAs

What are Product Qualified Leads (PQLs)?

Product Qualified Leads (PQLs) are potential customers who have demonstrated a clear interest in your product or service by engaging with it in a meaningful way. Examples of PQL engagement include signing up for a free trial, using a freemium version of your product, or attending a product demonstration. PQLs have shown a higher likelihood of conversion compared to traditional leads because they have firsthand experience with your offering.

What are Product Qualified Accounts (PQAs)?

Product Qualified Accounts (PQAs), on the other hand, are entire organizations or business units that display a strong potential for conversion. PQAs often consist of multiple PQLs within the same organization, indicating a high level of interest and engagement with your product or service. By targeting PQAs, you can focus on nurturing relationships with key decision-makers and stakeholders, increasing the chances of closing a deal.

Identifying the Relevance of PQLs and PQAs

When to Focus on PQLs

PQLs are particularly relevant when your sales team is dealing with individual users or smaller organizations. In these cases, it is essential to identify and engage with prospects who have shown genuine interest in your product. By focusing on PQLs, your sales team can prioritize high-quality leads and allocate resources more effectively.

When to Focus on PQAs

PQAs become more relevant when targeting larger organizations or enterprises. In these scenarios, your sales team needs to consider multiple stakeholders and decision-makers within the same account. Focusing on PQAs allows you to engage with an entire organization, ensuring you address the needs and concerns of all relevant parties, which can lead to more significant deals and long-term business relationships.

Integrating PQLs and PQAs into Your Sales Team’s Work

Developing a PQL and PQA Mindset

To successfully integrate PQLs and PQAs into your sales team’s workflow, it’s essential to adopt the right mindset. This involves understanding the differences between PQLs and PQAs, recognizing their value, and knowing when to prioritize each one.

Aligning Sales and Marketing Efforts

Both PQLs and PQAs require close collaboration between sales and marketing teams. Marketing efforts should focus on driving product engagement and identifying PQLs, while the sales team should concentrate on nurturing these leads and converting them into customers. In the case of PQAs, both teams need to work together to engage with multiple stakeholders and decision-makers within the organization.

Leveraging Technology and Data

To effectively identify and manage PQLs and PQAs, your sales team should use technology and data to track engagement, monitor progress, and make informed decisions. Customer Relationship Management (CRM) systems, marketing automation tools, and data analytics can help you collect and analyze information about your leads and accounts, allowing your team to prioritize their efforts and optimize their strategies.

Utilizing Product-Led Revenue Platforms for PQL and PQA Management

Product-led revenue platforms can play a crucial role in helping your sales team adopt the PQL and PQA mindset, align with marketing efforts, and make data-driven decisions. These platforms consolidate essential information, enable you to track product engagement, and identify PQLs and PQAs. Additionally, they provide customized scoring based on product usage and other factors, allowing your team to prioritize leads and accounts more effectively.

By integrating a product-led revenue platform into your sales and marketing processes, you can ensure that your team has a centralized system to manage PQLs and PQAs effectively. These platforms not only streamline workflows through playbooks and automation but also promote better communication and collaboration between sales and marketing teams, leading to a more efficient and successful sales process.

Conclusion

Understanding the distinctions between PQLs, PQAs, MQLs, and SQLs is essential for sales success. By adopting a product-centric mindset and knowing when to focus on PQLs or PQAs, your sales team can better prioritize their efforts, allocate resources effectively, and ultimately drive more conversions. Utilizing product-led revenue platforms can significantly enhance your team’s ability to identify and manage PQLs and PQAs by fostering alignment, encouraging data-driven decision-making, and promoting seamless collaboration between sales and marketing teams. Additionally, these platforms offer customized scoring, playbooks, and automation, streamlining your workflows and further optimizing your sales process. Embracing these concepts and strategies will ensure long-term success and growth for your organization.

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Growth Matters – Key B2B insights w/ Gal Aga, Co-Founder & CEO @ Aligned

In an age of constant innovation and fierce competitiveness, companies invest major resources to gain even the slightest advantage.

That’s why we started the Growth Matters series of interviews, where experienced industry leaders share key insights everyone should know in the domains of revenue, customer success, sales, and product.

In this installment, we’re joined by Gal Aga. Gal started selling way back in the early days of the ecosystem and has seen and done it all in various leadership sales and revenue roles. Today he’s the Co-Founder and CEO of Aligned

Check out his thoughts on sales technology, revenue trends, and what’s missing in today’s revenue operations. 

 

What are the most significant challenges B2B sales teams are facing today, and how can companies effectively address these challenges to improve their revenue performance?

Unfortunately, this is probably very relatable to all teams – we’re all expected to “do more with less” in 2023, and it’s not an easy task. We experience:

  1. Less pipeline to achieve our targets.
  2. Less access to stakeholders since now the CFO, CEO, and more people are involved.
  3. Less budgets we can tap into.
  4. Less influence, as there’s more scrutiny on decisions and a more compelling case is required.
  5. Less control over deals since there are sudden budget cuts, reprioritization, and more buying complexity to navigate.

The 2021 approach was to bring more people, pay more for leads, and buy lots of experimental software to give things a boost. The way I see it right now, the focus should be on what drives efficiency and/or effectiveness.

Efficiency: Less time spent on writing, taking notes, building lists, etc. Whatever gives you back the time you can spend on selling. Especially now, with the AI race, companies should focus on this.

Effectiveness: Simply giving people time back isn’t worth much if that time doesn’t move the needle. Some people are great at getting a lot done, but what good does efficiency do if we’re not good at delivering results? My take is to focus more on effectiveness.

  1. Time to invest more in training and coaching. Spend quality time turning potential into reality. Not only will you boost effectiveness, but you’ll also help your employees grow their careers. That’s a great reason to wake up in the morning.
  2. Double down on optimizing your sales playbook. Look for friction, usage data, and find creative ways to generate more pipeline and close more deals. A few great trends we’re seeing:
    1. Social selling – lots of sellers are getting much better results compared to traditional outbound methods.
    2. Building a strong outbound Product-Led-Sales playbook – many free users just won’t buy unless you reach out to them proactively. They’re experiencing friction and not saying anything about it. They get value but don’t know how to sell your solution to their boss. Some of them just don’t think about getting help for a free tool. Identifying the right signals and making the right moves when reaching out can generate a more highly converting pipeline with a higher probability of closing.
  3. Leveraging tools and methodologies that focus on making it easier for your buyer to buy is a golden opportunity. So many leaders focus on management tools, analytics, and lead generation. What about the selling and buying journey? Well, nothing has changed for decades. We’re throwing dozens of attachments at buyers that get lost in email threads and have minimal tracking. We’re also sending hundreds of emails back and forth between 10+ stakeholders, making it hard to collaborate. Lastly, many of us use ineffective spreadsheets to build mutual action plans with buyers and gain more control over deals. There are so many great solutions out there that make buying easier, help uncover buying intent and needs, help better control next steps and timelines, help better communicate and collaborate, and help better educate and influence decisions. A few examples that do this are Digital Sales Rooms like Aligned, Demo Experience Platforms like Demostack, and Video Platforms like Tolstoy.

Can you discuss the importance of aligning sales, marketing, and customer success teams in a B2B organization? And what are good ways of accomplishing it? 

Aligning sales, marketing, and customer success teams is crucial for success. It can significantly derail performance when these teams don’t work well together. You get toxic environments and miss the upside of what strong alignment creates. A few things that I’ve seen work well include:

  1. Establish shared goals: Set shared KPIs and objectives. For example, a marketing team that looks at ARR, similar to a sales team, versus just MQLs, is much more aligned and likely to work better together. Or, have both CSMs and AEs be measured and compensated for expansions and create a clear definition of responsibilities during the expansion process. This will ensure that all teams are working towards the same end game.
  2. Communicate regularly: Schedule cross-functional meetings to share updates, discuss challenges, and celebrate wins. Bring all these teams together. This encourages open communication, fosters empathy, and promotes a sense of ownership in each other’s success.
  3. Leverage technology: Use tools and platforms that streamline collaboration and information sharing, such as CRMs, project management tools, and shared workspaces where all these teams can work together more effectively.

We love discussing KPIs here. What KPIs would you recommend CROs focus on when it comes to customer-related revenue? 

When it comes to customer-related revenue, CROs should focus on the following KPIs:

  1. Net Retention Rate (NRR): The percentage of recurring revenue retained from existing customers, accounting for expansions, contractions, and churn. This KPI provides insight into the overall health of your customer base. It is also one of the most important efficiency metrics that investors look at, so it will have a major impact on your company’s valuation.
  2. Customer Acquisition Cost (CAC) Payback: The amount of time it takes to return the total cost of acquiring a new customer. Keep a close eye on this metric to ensure your sales and marketing efforts are cost-effective. This is also a very important efficiency metric.
  3. Average Contract Value (ACV): The average annual revenue generated from each customer contract. This KPI helps identify trends in deal size and revenue potential. Growing ACV can be a game-changer in times when getting new pipeline is a challenge, as you simply need fewer opportunities to achieve the same ARR targets.
  4. Sales Cycle Length: The time it takes to close a deal from initial contact to the signed contract. This KPI is critical for identifying bottlenecks and inefficiencies in your sales process. Reducing the sales cycle length not only means that you get to close more deals in a given period (assuming you bring in more pipeline) but also reduces the risk of losing deals since, as the old saying goes, “time kills deals.”

Do you believe a product-led growth (PLG) model can work without human touch? And if not, at what stage of the sales process would you introduce it?

While a PLG model can work without human touch in certain scenarios, there are many situations where involving a human touch is beneficial.

Moreso, speaking with many VCs and other startups, we’re hearing that there’s a growing trend to involve sales teams in PLG even more in 2023. More and more companies are starting out with hybrid PLG/PLS go-to-market motions. I believe it’s because of the importance of driving ARR growth and because more and more companies adopt PLG, even if their product is not a classic fit for this model. In those cases, a hybrid model makes sense.

Here are a few situations where it’s important to involve sales in a PLG model:

  1. For deals above a certain ACV, typically, they go beyond the comfort level of completing a purchase fully self-served. For most, the threshold is around $5-7K ARR.
  2. For deals with high potential. You wouldn’t want to let a small team at a high-potential account like Apple buy alone. Proactively reaching out to ensure they have the necessary resources and support, even if it’s a small deal, pays off in the long run.
  3. For complex use cases or industries, the human touch can help navigate specific customer requirements and offer tailored solutions, leading to higher chances of conversion.

We’re living in a data-driven world. What can companies do to leverage that data for maximum growth?

To leverage data for maximum growth, companies should:

  1. Invest in data infrastructure: Implement tools and systems that collect, store, and analyze data efficiently.
  2. Encourage data literacy: Train employees to understand and interpret data, fostering a data-driven decision-making culture. At Aligned, we are in a constant mode of implementing more events, reports, and dashboards across all teams. Everyone is looking at data on a daily basis and is focused on getting better at it. It’s part of our DNA.
  3. Conduct regular data audits: Routinely assess the quality and accuracy of your data to ensure you’re making informed decisions.
  4. Use predictive analytics: Employ advanced analytics tools to forecast future trends and identify opportunities for growth.

At what stage should companies introduce operation roles as part of their sales org?

When they can afford it. I truly believe that there is no such thing as the right stage. An ops person adds value. Period. It’s probably not something most can afford at the Seed stage, but it definitely is when starting to hire a sales team, leaders, SDRs, etc. It’s a must. 

Revenue operations can streamline processes, improve efficiency, and provide data-driven insights to drive growth. These save hours for your management team, increase efficiency for your team, and prevent revenue leakage.

As a leader, how do you promote a data-driven culture within your organization?

As mentioned, we make it more than a project. It’s part of our DNA, with one of our values being encouraging learning. Here are a few things that what we do at Aligned:

  1. Lead by example: We use data to inform our own decision-making and encourage teams to do the same.
  2. Provide training and resources: Offer workshops, seminars, and access to tools that foster data understanding.
  3. Encourage curiosity and questioning: Create an environment where team members feel comfortable challenging assumptions and seeking data-driven answers.
  4. Celebrate data-driven wins: Highlight successes achieved through data-driven decisions to reinforce the value of a data-driven approach. For example, we celebrate product improvements that were driven by data or Product Led Sales wins that were driven by our user reports.

Everyone’s talking about the impact of AI on pretty much every area of the business world. Where do you see its potential impact on sales operations? 

It’s hard to imagine, really. The pace of change and progress is simply mindblowing. I believe that we’ll continue seeing new use cases emerge that we haven’t thought of and new barriers broken. At the moment, I believe AI has the potential to revolutionize sales operations in the following ways:

  1. Automating repetitive tasks: AI can automate tasks such as data entry, lead enrichment, account research, answering emails, drafting proposals, and follow-ups, freeing up sales reps’ time to focus on more strategic activities.
  2. Personalization and targeting: AI can analyze customer data to provide personalized content, offers, and messaging, enhancing the buyer’s journey and increasing the likelihood of conversion.
  3. Lead scoring and prioritization: AI can analyze historical data and identify patterns to predict which leads are more likely to convert. This would allow sales teams to focus their efforts on high-potential leads, improving efficiency and effectiveness.
  4. Sales forecasting: AI-driven predictive analytics can help sales leaders make more accurate revenue forecasts by analyzing historical data, market trends, and customer behavior.
  5. Sales coaching and training: AI-powered tools can identify areas of improvement for individual sales reps and provide personalized coaching and training resources to help them develop their skills.

By embracing AI and its potential impact on sales operations, companies can streamline processes, enhance efficiency, and ultimately drive more revenue.

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Embracing a Data-Driven Approach to B2B Sales: Key Metrics and Insights

In the ever-evolving world of B2B SaaS sales, data-driven decision-making has become essential for organizations seeking to remain competitive and drive revenue growth. Embracing a data-driven approach is particularly important for competitive markets, where any advantage can give you an edge. 

Let’s explore the importance of embracing a data-driven approach to B2B sales, the key metrics you should track, and how these insights can revolutionize your revenue operations (RevOps) strategy.

The Power of Data-Driven Decision-Making in B2B Sales

Data-driven decision-making enables RevOps professionals, sales and growth leaders, and CROs to make informed choices that directly impact revenue and sales performance. By leveraging data and analytics, businesses can identify patterns and trends, optimize sales processes, and ultimately drive growth. Here are some benefits of adopting a data-driven approach in B2B sales:

  1. Improved sales forecasting accuracy: Accurate sales forecasts help organizations allocate resources effectively, manage expectations, and drive revenue growth. By using historical data and analyzing trends, businesses can develop more accurate sales forecasts.
  2. Enhanced lead scoring and prioritization: A data-driven approach helps sales teams identify high-quality leads and prioritize them based on factors such as engagement, industry, and company size, allowing teams to focus their efforts on the most promising opportunities.
  3. Sales process optimization: Analyzing sales data can reveal bottlenecks, inefficiencies, and areas for improvement in the sales process. By addressing these issues, organizations can streamline their sales process, reducing the sales cycle length and increasing close rates.

Key Metrics to Track in B2B Sales

To effectively embrace a data-driven approach, RevOps, revenue, and sales professionals need to track a set of key metrics that provide insights into sales performance. Some of these critical metrics include:

  1. Lead Conversion Rate: The percentage of leads that convert into customers. A high conversion rate indicates an effective sales process and strong alignment between marketing and sales efforts.
  2. Average Deal Size: The average revenue generated from a closed deal. Tracking average deal size helps organizations identify trends, monitor the effectiveness of their pricing strategy, and make adjustments as necessary.
  3. Sales Cycle Length: The time it takes for a lead to progress from initial contact to closed sale. A shorter sales cycle length often indicates a more efficient sales process.
  4. Win Rate: The percentage of opportunities that result in a closed deal. A high win rate can indicate a strong sales team and effective sales strategies.
  5. Customer Acquisition Cost (CAC): The total cost of acquiring a new customer, including marketing, sales, and other related expenses. A low CAC can signify efficient customer acquisition strategies and a high return on investment.
  6. Customer Lifetime Value (CLV): The total revenue a customer is expected to generate for your organization during their relationship with your company. A high CLV indicates strong customer retention and upselling efforts.
  7. Churn Rate: The percentage of customers who discontinue their relationship with your company over a given period. A low churn rate signifies high customer satisfaction and effective customer retention strategies.

Leveraging Data Insights to Drive B2B Sales

Tracking the key metrics mentioned above can provide valuable insights to help B2B sales teams fine-tune their strategies and drive growth. Some ways to leverage these insights include:

  1. Identifying opportunities for upselling and cross-selling: Analyzing customer data can help sales teams identify opportunities to sell additional products or services to existing customers, increasing CLV and boosting revenue. 
  1. Refining lead generation strategies: By examining lead conversion rates and the characteristics of high-quality leads, sales teams can fine-tune their lead generation efforts to attract and engage more prospects with a higher likelihood of conversion. 
  2. Optimizing sales processes: Data insights can help sales teams identify bottlenecks or inefficiencies in their sales process. By addressing these issues, teams can improve sales cycle length and close deals more efficiently.
  3. Tailoring sales messaging: Analyzing customer data can provide insights into the pain points, preferences, and needs of your target audience. Sales teams can use this information to tailor their messaging, making it more effective and relevant to potential customers.
  4. Enhancing sales training and coaching: Monitoring win rates and other performance metrics can help sales leaders identify areas where their team members may need additional training or coaching, ensuring the entire team is equipped to succeed.

Conclusion

Embracing a data-driven approach to B2B sales is crucial for businesses in the competitive SaaS industry. By tracking key metrics, leveraging insights to optimize sales strategies, and continually refining their approach, revenue, growth, and sales pros can drive significant growth and stay ahead of the competition. Remember, the power of data-driven decision-making lies in the ability to adapt and evolve, making it an essential component of any successful B2B sales strategy.

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Product-Led Revenue Models: Which One is Right for Your Business?

To maximize revenue growth via user engagement and adoption, product-led revenue models have grown more popular in recent years. The premise behind these models is that firms may attract a huge user base by providing free or low-cost versions of their goods and then monetizing that user base via various revenue sources. OpenView Partners indicate that product-led adoption across tech firms grew from 45% in 2019 to 55% in 2022.

Seeking to explore the intricacies of product-led revenue strategy, this article uncovers the main product-led revenue models as well as some guidelines around how to decide which one of these might benefit your business.

Exploring the Different Types of Product-led Revenue Models

Overall, there are four main categories of product-led revenue models:

Freemium Model

This paradigm entails releasing a free basic, feature-limited version of the product, charging more for access to advanced settings or more use. Products with a low marginal cost of production often benefit from the freemium model since it encourages consumers to try the product before making a purchase decision. Businesses may gain a huge user base by providing a free version and converting a portion of those people into paying subscribers. Dropbox and Evernote are examples of organizations that have successfully embraced the freemium model. 75% of product-driven businesses select either a free trial or freemium approach, according to StatHeap.

Premium Model

Premium, which is central to this business strategy, encompasses an upgraded, more expensive version of the product. This pricing strategy is well-suited to items that substantially benefit their consumers. To attract customers who are prepared to pay more for a higher level of service, many companies now provide “premium” or “upgraded” versions of their products. Spotify and LinkedIn are examples of organizations that have effectively used the premium model. 

Pay-as-you-go Model 

As opposed to a flat rate, consumers are charged depending on their actual usage under this approach. This pricing strategy is convenient for items with irregular consumption since customers pay only for what they consume. Many consumers are hesitant to sign up for a service on a monthly or yearly basis, and companies may win them over by providing a pay-as-you-go option. Companies like Amazon Web Services and Twilio demonstrate the viability of the pay-as-you-go model. 

Subscription Model

Last but not least, the subscription model involves charging customers on an ongoing basis to continue using the product. Products like software and content services provide consumers with continuous value and work well under this paradigm. Businesses may attract and retain customers in the long run by using subscriptions. Netflix and Microsoft Office are two examples of subscription-based business models that have found success.

Start by Looking at the Competition

It is important to evaluate your competition and see their revenue models. This can give you ideas and help you differentiate yourself from the competition. For example, if your competitors use a subscription model, you may want to consider offering a pay-per-use model instead.

Bain & Company recently surveyed 176 top executives in the North American business-to-business software industry, and they discovered that roughly 75% are worried about competition from PLG businesses.

Deploy A/B Testing

A/B testing may be a great avenue to examine the effect of changes to the price structure, but it’s vital to avoid testing the dollar amount as the variable. Alternatively, organizations may test multiple value measures or price tiers to find which resonates best with consumers. This may help a corporation determine the best price structure that optimizes income while simultaneously giving value to the client.

Assess Your Pricing Strategy

When considering your pricing strategy, it’s important to determine what your users are willing to pay for your product. Conducting user research or surveys can help you gather this information. When determining your pricing strategy, you should also consider factors such as customer acquisition costs and customer lifetime value. Overall, you may consider a freemium model, where users can access basic features for free and upgrade to premium features for a fee. This can be an effective way to attract new users and generate revenue from existing users.

Define End-User Success

The success of product-led business hinges on how well it solves a problem for its users. To ensure that your product meets your users’ needs, it is important to start with an end-user success statement. This statement should outline what success looks like for your users and what value your product provides them. 

Unlike a sales-led company, where success is closing a deal, in a product-led company, success is defined by user success. In a product-led growth (PLG) model, the company’s success depends on whether users can see the product’s value. The company’s bedrock should be set up to support user success since it is the foundation upon which the company’s success is built.

Review Your Product-led Model

Once you have chosen a product-led revenue model, it is important to test and iterate. Start by testing the model with a small group of users and gather feedback. Use this feedback to iterate and improve your revenue model. Continuously testing and iterating your revenue model can help you identify new revenue streams and improve the overall user experience.

How to Implement a PQL Scoring System

How to Implement a PQL Scoring System

Arising as a cutting-edge solution for innovative enterprises, the PQL scoring system is a powerful tool to help your business streamline its lead generation and sales process. Accenture indicates that PQL usually generates 5x higher conversion rates than MQLs. However, according to Open View Partners, only 25% of companies have deployed a PQL strategy.

Deploying the Advent of PQL 

Overall, the Product-Qualified Lead (PQL) scoring system effectively identifies leads most likely to convert into paying customers. This system uses a scoring mechanism to evaluate leads based on their engagement with your product, including their product usage and behavior. By analyzing this data, you can identify leads more likely to purchase and focus your sales and marketing efforts on them.

Businesses that employ a PQL framework will utilize a scoring system to evaluate and rank PQLs. After that, they utilize the use of that rating system as a single source of truth to prioritize the time and efforts of the sales team in addition to those of the other departments. Automating the lead qualifying process is essential for businesses to effectively identify and prioritize the most promising leads. Defining a PQL is the first step, but implementing a scoring model for each action is equally important. The scoring model allows businesses to evaluate the activities of each lead and assign a score based on their level of engagement with the product or service.

Manual lead qualification can be a time-consuming and challenging process, especially for businesses with many leads. However, with the advancement of technology, several lead qualification software options are available in the market to make this process easier. These software options use artificial intelligence and machine learning algorithms to analyze and score each lead’s actions automatically.

Uncovering the Types of PQL Scoring

As highlighted by Clearbit, the PQL scoring process entails the calculation of two distinct fit scores, namely, the domain score and the persona score, to provide a comprehensive overview for the sales team. This approach is particularly significant for product-led companies transitioning upmarket, as product champions may not always be the decision-makers.

The domain score serves to evaluate whether an account has the potential to become a top 100 customer in the future. Additionally, typical personas, such as decision-makers, billing contacts, power users, and community champions, are identified within each domain based on available data. The sales team then utilizes the resulting information to update Salesforce and send out notifications through a product like Census, thus enhancing the quality of leads for sales development representatives.

Exploring the Process of Implementing PQL

When implementing a PQL scoring process, it is important to integrate it into your CRM or marketing automation platform. This allows for the efficient tracking and management of PQLs, ensuring that sales and marketing teams are equipped with accurate and up-to-date information.

Integrating the PQL scoring process into your CRM or marketing automation platform involves setting up a scoring model that assigns scores to leads based on their level of engagement with your product. This can be achieved by tracking user behavior and product usage, as well as other relevant metrics, such as the number of users, frequency of usage, and level of engagement with support and training resources.

Taking a systematic and thoughtful approach to defining the criteria for a qualified lead is essential to developing an effective PQL scoring process.

Step 1: Defining the Criteria for a Qualified Lead

Overall, the PQL scoring should start with determining the specific factors that make a lead a PQL in your business. This could include factors such as product usage, feature usage, user behavior, referral sources, or account data.

Step 2: Identify the Target Accounts for Your Ideal Customer Profile

This phase involves analyzing your current customer base and identifying common characteristics such as industry, company size, and revenue. By identifying these target accounts, you can focus on leads most likely to convert into paying customers.

Step 3: Segment Target Accounts

Next, you should categorize these target accounts into domains based on shared characteristics such as use case, vertical, or product suite. This allows you to develop a more focused and targeted approach to marketing and sales.

Step 4: Develop Buyer Personas

Within each domain, it is essential to identify the personas or stakeholders involved in the purchase decision, such as decision-makers, end-users, and influencers. Developing a deep understanding of these personas and their unique needs and challenges is critical in crafting effective marketing messages and sales strategies.

Step 5: Assign a Score for Each Domain & Persona

Establish the scoring system that assigns a score to each domain and persona based on their fit with your ideal customer profile and PQL criteria. This can involve considering factors such as company size, industry, and level of engagement with your product. Developing a robust and accurate scoring system allows you to prioritize leads and focus your sales and marketing efforts on the most promising opportunities.

Step 6: Monitor & Update

It is essential to ensure that the PQL scoring process is regularly updated based on changes in usage and engagement. This means the scoring model must be flexible and adaptable to user behavior and product usage changes. For example, if a user’s engagement with your product decreases over time, their PQL score may decrease, and they may no longer qualify as a PQL. Conversely, if users’ engagement with your product increases, their PQL score may increase, making them a more valuable lead.

Growth Matters: Zahi Malki

Growth Matters – Key B2B insights. Zahi Malki, VP of Customer Success & Professional Services @ WalkMe

In an age of constant innovation and fierce competitiveness, companies invest major resources to gain even the slightest advantage.


That’s why we started the Growth Matters series of interviews, where experienced industry leaders share key insights everyone should know in the domains of revenue, customer success, sales, and product.

In this installment, we have Zahi Malki, who’s been in the tech industry for over 20 years, and VP of Customer Success & Professional Service at WalkMe for the last (almost) 4 years.

Check out his thoughts on the role, challenges, and responsibilities of the modern CSM.

You’ve been in the customer success game for a long time! How has the role of the CSM changed over the years?

Over the past 10 years, the role of the Customer Success Manager (CSM) has undergone significant changes. It evolved from a reactive, support-focused function to a more proactive, revenue-generating one. Today’s CSMs are expected to drive adoption, upsell and cross-sell, and build strong relationships with customers.

In the past, the CSM was primarily responsible for ensuring customer satisfaction and reducing churn. However, today’s CSMs have a much broader mandate that encompasses the entire customer lifecycle.

One major change has been the increased focus on revenue generation. CSMs now play a critical role in driving upsells, cross-sells, and renewals. They work closely with the sales team to identify opportunities for growth and with the product team to ensure that customer feedback is incorporated into product development.

Another important shift has been the increased use of data and analytics. CSMs are now expected to have a deep understanding of customer behavior and to use this knowledge to proactively identify and address potential issues. They use data to track customer engagement, measure success metrics, and develop targeted outreach programs.

In addition, the role of the CSM has become more strategic. CSMs are now providing insights into the customer experience and helping to shape the company’s overall strategy. They work closely with senior leaders to develop customer-centric initiatives and to ensure that the company is delivering on its promises to its customers.

 

What are some industry trends, when it comes to technology, that you’re excited about?

One industry trend that’s particularly exciting is the increased use of artificial intelligence (AI) and machine learning (ML) to improve customer experiences. With these technologies, companies can analyze customer data and behavior to gain insights into their needs and preferences, predict potential issues before they occur, and provide personalized support and recommendations. 

Additionally, the use of chatbots and other automated tools can help provide quick and efficient support to customers, freeing up human agents to focus on more complex issues. Overall, the adoption of these technologies is expected to lead to better customer satisfaction and retention rates, as well as increased efficiency and cost savings for companies

 

What KPIs do you measure your team with and why did you choose these in particular?

The KPIs for measuring customer success teams can vary depending on the company’s goals and priorities. 

Some of the most commonly used key performance indicators (KPIs) in the customer success world are customer retention rate, customer satisfaction score, net promoter score, NDR, and churn rate.

They are widely recognized as important indicators of CS, and they provide valuable insights into the health of the customer relationship. 

Customer retention rate, for example, measures the percentage of customers who continue to do business with a company over a certain period of time and can be used to gauge the effectiveness of a company’s customer success efforts. 

Customer satisfaction score and net promoter score are both measures of customer satisfaction and loyalty and can provide valuable feedback on areas for improvement. Finally, churn rate measures the percentage of customers who stop doing business with a company over a certain period of time, and can be used to identify areas where customer success efforts may need to be improved. By tracking these KPIs, companies can better understand how well they are meeting customer needs and identify opportunities for improvement

 

What are some common challenges that your team faces when working with enterprise customers, and how do you overcome them?

Working with enterprise customers in the customer success world can be challenging, as there are several factors to consider, including communication, alignment of goals, and handling complex customer needs.

One of the biggest challenges is communication, as enterprise customers often have multiple stakeholders and decision-makers. Effective communication is key to understanding the customer’s needs and expectations, as well as ensuring that everyone is on the same page. 

To overcome this, customer success managers should establish regular touch-points with customers, develop clear communication channels, and make sure that all parties involved are aware of the project’s progress.

Another challenge is aligning goals between the customer and the vendor. Enterprise customers often have complex needs and may require customized solutions, which can make it difficult to align goals. To overcome this challenge, customer success managers should work closely with the customer to understand their needs, establish clear expectations, and create a plan that aligns with the customer’s goals.

Lastly, to overcome the customized solutions challenge, CSMs need to dig deep into understanding the customer’s needs, collaborate with product and engineering teams to develop customized solutions, and provide ongoing support to ensure that the customer is satisfied.

Overall, customer success managers should prioritize effective communication, alignment of goals, and flexibility to handle complex challenges.

 

As VP CS, which other departments do you work most closely with and how do you manage the cross-department alignment?

As VP of CS, it’s important to work closely with sales & presale, marketing, professional services, support, finance, and product development teams, to ensure cross-department alignment and collaboration. 

The most important cross-department alignment for CS is between the product teams, presale, and support teams. This alignment is critical for ensuring that customers have a seamless and positive experience throughout their journey with a company.

Establishing open and clear communication channels between these teams can be achieved with regular meetings, shared documentation, and various collaboration tools.

Additionally, avoid conflicts and misunderstandings by figuring out clear roles and responsibilities for each team, so that everyone understands how they fit into the overall customer success strategy. 

Overall, fostering strong alignment between companies can ensure that they are providing the best possible customer experience, which is critical to driving long-term success and growth.

 

How do you prioritize different accounts? Is it just a matter of focusing on the biggest fish?

Prioritizing accounts is not just about focusing on the biggest customers. It’s important to consider factors such as customer value, growth potential, strategic fit, and resource availability.

Prioritizing the right accounts is crucial to ensure that resources and efforts are utilized efficiently to achieve the best outcomes.

Customer success teams typically consider several factors such as the revenue potential of the account, the level of engagement, the customer’s needs and goals, the complexity of the customer’s business, and their overall fit with the company’s product or service.

Customer success teams typically provide different levels of support based on the type of customer (segmentation). For instance, premium or high-value customers may receive more personalized attention and dedicated support, while lower-tier customers may receive more self-service or automated support.

To ensure that all customers have the best experience, regardless of their payment level, customer success teams may focus on providing consistent communication, clear and concise documentation, and easy-to-use tools and resources. They may also offer training programs and educational resources to help customers maximize the value of the product or service. 

Ultimately, CS teams strive to build long-term relationships with customers and help them achieve their desired outcomes, while also driving business growth for their company.

 

What are some major misconceptions you see about the role of customer success?

One major misconception about the role of customer success is that it is solely responsible for customer satisfaction and retention. While customer success teams do play a crucial role in these areas, it is important to recognize that every department and individual within a company contributes to the customer experience.

This misconception may have arisen due to the increased emphasis on customer-centricity in recent years, which has led to a greater focus on customer success as a discipline. However, it is important to remember that customer success is a collaborative effort that involves everyone from product and engineering to sales and marketing.

To change this misconception, companies need to ensure that all employees understand the importance of customer success and are aligned around a shared customer-centric mission. This can be achieved through regular training, communication, and incentives that reinforce customer-centric behaviors and attitudes.

There may be differences in the way companies approach customer success depending on their size and stage in the industry. For example, smaller startups may have a more hands-on approach to customer success, with founders and early employees directly engaging with customers to ensure their needs are met. On the other hand, larger enterprises may have more established customer success teams and processes in place but may struggle to maintain a customer-centric culture across all departments. Ultimately, regardless of company size or stage, a strong customer success focus is critical for long-term business success.

 

From your experience, what can SaaS companies do better to reduce churn?  

To do better at reducing churn, SaaS companies must focus on providing excellent customer support and creating a product that meets their customers’ needs. They must also regularly communicate with their customers to understand their pain points, address their concerns, and offer solutions.

In the short term, focusing on customer success can lead to increased customer satisfaction, loyalty, and revenue. And the long term, it can help the company establish a positive reputation and attract new customers through word-of-mouth referrals.

Some actions that SaaS companies must take today include investing in customer support, creating a user-friendly interface, regularly monitoring customer feedback, and incorporating customer feedback into product development. They should also provide training and resources to help customers make the most out of their products. 

 

How to Improve Your Product Engagement Funnel for Better Results

How to Improve Your Product Engagement Funnel for Better Results

By systematically presenting potential buyers with products and services tailored to their specific needs, a well-developed “product funnel” may increase the likelihood that these individuals will make a purchase. Attracting new clients is just half the battle; a successful product funnel also has to provide them with a satisfying buying experience that encourages them to become loyal to the company. Salesforce indicates that more than 50%% of customers consider that companies must fundamentally transform their engagement. Furthermore, 64% of the customers expect tailored engagements based on past interactions.

As a business owner or marketer, you must clearly understand how your customers engage with your product or solution at each customer journey stage. In this pursuit, a product funnel is a powerful tool that helps you visualise and understand the different stages of your customer journey and the interactions at each stage. Emeritus estimates that more than one-third of businesses believe that increasing the level of engagement with their customers is the best method to boost sales.

Phases of the Product Engagement Funnel

At the top of the funnel, you have your potential customers or leads. These individuals have expressed interest in your product or solution but may not be ready to purchase yet. They become more engaged and likely to purchase as they move through the funnel.

The middle of the funnel is where you convert leads into customers. This is where you provide more in-depth information about your product or solution and begin to build trust and credibility with your prospects. At this stage, you may offer a free trial, a demo, or other incentives to encourage them to take the next step.

Finally, you have your loyal customers at the bottom of the funnel. Adobe highlights that retargeted visitors are 70% more likely to convert than non-retargeted visitors. These individuals have purchased and are now repeat buyers or brand advocates. It’s important to continue nurturing these relationships and providing excellent customer service to keep them returning.

Utilise Customer Data & Product Engagement KPIs 

Defining your target audience is a crucial first step in improving your product engagement funnel, and it starts with data. You can collect demographic information, behaviour patterns, and customer feedback to understand your ideal customer comprehensively. This data can be obtained through surveys, customer interviews, social media analytics, and website analytics.

Product engagement KPIs help firms assess product health and identify areas for product enhancement, such as retention rate, conversion rate, and customer happiness. They enable companies to focus on issue areas in the product engagement funnel. To explore this, a poor conversion rate might mean that firms need to concentrate on giving more information or incentives to convert leads into consumers. In a similar vein, a low retention rate may indicate that a company’s efforts might be better directed at enhancing the experience provided to its most loyal clients. Organisations may improve the efficiency of their product engagement funnel by monitoring and evaluating key performance indicators.

Integrate Social Proof

Social proof, defined as the influence of other people’s actions and opinions on our behaviour, can be essential to building trust and credibility with potential customers. By incorporating customer testimonials, user-generated content, and case studies on your website and social media channels, you can showcase the positive experiences of previous customers and provide evidence of the value your product or service offers. 

Ultimately, this can help to increase engagement and conversions by reducing perceived risk and uncertainty and demonstrating social validation. Encouraging your customers to share their experiences with your product provides valuable feedback that can be used to improve your offering and serves as a form of word-of-mouth marketing, which can be incredibly effective in building brand awareness and credibility.

Improve Your Copy

Getting people interested in your product and using it requires compelling product copywriting that attracts and retains your target demographic. If you want to create content that gets people to take action, consider the following suggestions. Instead of emphasising your product’s qualities, stress its advantages. 

Furthermore, it is important to highlight the beneficial effects your product will have on their daily life. Moreover, deploy storytelling to your advantage in your product copy; readers will relate to your words. Use a narrative to illustrate the issue your product addresses or to provide a personal account of how your product has benefited a customer. 

Implement Customer Feedback

Continuously modifying your product based on customer feedback is crucial for keeping your customers engaged and satisfied. Listening to customer feedback can help you identify areas for improvement, feature requests, and pain points that must be addressed. By acting on this feedback and making changes to your product, you can show your customers that you value their input and are committed to delivering a product that meets their needs. It is feasible to acquire customer feedback through surveys or user interviews. 

This avenue can help you understand how customers use your product and what features they want to be added or improved. In addition, you can monitor social media and online forums to see what customers say about your product and address any issues or concerns. Finally, making product modifications doesn’t have to be lengthy or complex. Simple changes like adjusting a button’s placement or improving your product’s speed can greatly impact customer engagement.

Unravelling the Importance of PQAs in a Product-Led Growth Strategy

Unravelling the Importance of PQAs in a Product-Led Growth Strategy

As businesses constantly seek ways to drive growth and gain a competitive edge, the product-led growth strategy emerges as one of the most popular paradigms for forward-thinking enterprises. However, this can only be accomplished if companies are aware of and able to track the most important factors contributing to product-led growth. This is where PQAs, or Product Qualified Accounts, come in. 

In a PLG framework, PQAs play a crucial role since they reveal whether or not a product is successfully meeting the needs of its target audience and whether or not those target consumers will ultimately become paying clients. Considering the PLG market grew from $21B in 2016 to $687B in 2020, it’s something you just have to consider. 

Deploying PQA in Different Phases of the Customer Journey

In both onboarding and expansion scenarios, PQAs can aid in accurately targeting upselling and cross-selling campaigns, which can be critical in driving growth and success for a product-led growth strategy.

When it comes to onboarding, it is important to consider both user-level and company onboarding. A key aspect of this is determining if the account has added teammates, which is a simple yet essential question to ask. PQAs can be particularly effective in onboarding when an account has reached a certain PQA score and is ready for more personalized onboarding by Sales or CSM. Factors such as firmographic information, including company size, can significantly determine if a custom onboarding experience is warranted.

Similarly, PQAs can be leveraged in expansion efforts, with different variables factoring into the scoring model. For example, the frequency of adding new users to the team may be considered in scoring an expansion PQA instead of the time the team takes to complete onboarding for an onboarding PQA.

Achieving Better Product-led Growth with PQAs

By leveraging PQAs, businesses can identify areas where their product is falling short and take action to improve the user experience, drive engagement, and increase conversion rates.

Higher Conversion Rates

Since PQAs have previously experienced the product’s advantages, they are more likely to convert into paying customers. They are conversant with the product, comprehend the value it provides, and have already entered the deliberation phase of the purchasing process. Hence, their conversion rate is greater than that of conventional leads, who are still in the stage of the purchase process known as awareness. 

Improved Customer Retention 

PQAs are already pleased with the offering, which results in higher client retention rates. Customers who are pleased with a product are more likely to continue using that product, renew their subscriptions to it, and gesturing that product to others. This will increase client loyalty, leading to more revenue for the firm. 

Faster Sales Cycle

Since PQAs have previously used the product and are familiar with its benefits, their sales cycle is significantly shorter. They have a higher propensity to make a purchase choice quickly and go farther down the sales funnel as a result. This results in a more rapid revenue increase and a more effective sales procedure. 

How PQAs Enhance Capabilities for Product Development 

PQAs are responsible for providing the product development team with insightful input. The product development team may enhance the product and produce a better user experience by first understanding how consumers use it and what they find useful. This results in a product that is more likely to satisfy the wants and preferences of the consumer, which in turn boosts the client’s satisfaction and loyalty to the brand.

Using first-party product data to identify strong customer interest and intent signals, OpenView Partners prioritized their sales efforts and allocated their resources more effectively. This allows them to focus on the accounts with the highest potential value, which in turn can lead to greater customer acquisition and retention rates. Their approach involved splitting accounts into high and low-fit categories based on firmographics (e.g., company size, industry) and product signals or intent (e.g., how frequently a customer uses a particular feature). In this manner, the reps were able to prioritize their efforts by identifying the accounts with the best fit and highest signals, allowing them to focus on those accounts first.

Bottom Line

When deployed effectively, PQAs provide insightful input to product development teams, resulting in better products that satisfy the wants and preferences of consumers, boosting client satisfaction and loyalty to the brand. PQAs also lead to higher conversion rates, improved customer retention, faster sales cycles, and enhanced capabilities for product development.

Group 9

How to turn your company into a Product-led company

Did you know that investors have found that product-led companies are twice as likely to grow fast than other models? 

A June study published by TechCrunch discovered that product-led growth models are “2x more likely to grow quickly than sales-led” growth models. To tap into this rapid growth opportunity, you’ll want to know how to transform your current growth model to follow product-led growth. Today we’ll show you how it’s done. 

Understand your user journeys  

First, you’ll need to understand the path your users take through your product. Data that tracks the user journey through your product is essential here. 

By tracking user data, you are observing user interaction with your product. This gives you a clear oversight into a user’s path, what went well and what may have triggered difficulty. With this oversight, you can start honing in on improvements. 

Major companies such as Tesla gather user data to hone in on the “product experience” of their brand. By collecting feedback, Tesla ensures that it engages with real users to constantly improve the product experience. Tesla has been credited with “transforming car buying” into an ongoing experience rather than a one-off purchase. 

Create product experiences that push time-to-value 

Now that you’ve got a clear idea of the customer’s path, you’ll want to cut down the obstacles a customer faces using your product. Customers essentially search for a quick problem-solving solution when shopping for products. By trimming down obstacles, you can invest in the speed at which your product solves your customer’s problem. 

This rate of problem-solving speed is called “time to value”. When you reduce the obstacles a product user faces to reach their ideal solution, you accelerate the time-to-value ratio. Creating product experiences that push this speedy solution arrival time is an essential part of driving home a PLG model.  

User Guiding blog summarized PLG as the growth model where the product is the core of the business, and customers are the core of understanding the product. Customer experience and engagement steer data gathering to build a stronger core. 

Steer users to natural conversions with value

PLG modeling focuses on honing and empowering customer-to-product relationships. Steer users to conversions by letting them understand the true value of your product on their own. A free product with many key value features entices the user to experience the product further. This leads to a natural conversion to a higher value tier within your product. 

But while many companies have adopted this model and do let their users take the product for a ride before they buy it, they still treat the conversion stage as “one size fits all”, instead of following the actual user journey their users go through and offer them to purchase a plan only once they hit an actual milestone and are ready to make the purchase. 

Introduce new features based on customer usage

As you steer natural conversions through value, you will want to gradually work in new features and experiences. Using user data to hone this usage-based feature building guarantees that you are adding features customers are eager for, based on their needs.

 UserGuiding blog explains user data led feature adding works because the data “comes up” with new features based on user behavior, and conveys to the user their needs and expectations. 

Base pricing around customer needs

In order to become a full-fledged PLG model, you need to scale into flexible pricing packages that allow customers to subscribe according to their preferences. With flexible pricing, customers don’t feel pressured into making time-based commitments, and they can choose the plan that fits their needs the most. 

 Because PLG needs to deliver value and customer experience instantly, breaking down hesitation barriers is key to unblocking the user pathway to conversion.

Strategize the upsell

PLG experts advise strategizing the upsell after the product has delivered value. Users with access to a demo product already have experience with your product. A PLG company needs to base upselling on features that stand out as added value on top of the current experience. 

By focusing on delivering experience-driven products, PLG models break down barriers to monetization. When the time comes for a paid version, the user knows the current product value and is more willing to pay for added value. 

Overview

These steps are starting places. While product-led growth is easy to implement, there are also many intricate parts that make up a successful PLG growth model. These steps can set you up with an efficient PLG growth model to build from. 

Want to learn more? Follow our team of PLG visionaries at Coho for more insights or contact us.

6 Combining PLG with a sales motion

Combining a sales team with a PLG motion

“Product-led growth” is the latest trend in B2B SaaS, but is it the end-all solution for driving growth and success? The concept of product-led growth is based on the idea that the self-guided product experience in B2C can be applied in the B2B space. However, relying solely on the product to drive growth may have its limitations in a B2B context.

It’s questionable whether clients in a B2B setting will fully understand the value proposition without support and guidance. The pressure-free, self-directed approach may sound appealing, but it may not result in meeting business goals if clients are not fully engaged and informed.

So, what are the limitations of a product-led growth strategy in B2B SaaS? Is a dedicated sales team really necessary, or can the product truly drive growth on its own? These are the questions that need to be explored to determine the most effective approach for driving growth and success in the B2B SaaS industry.

While product-led growth may be a promising idea, it’s important to critically examine its limitations and determine the best approach for driving growth and success in this context. In this article, we will delve deeper into the limitations of a product-led growth strategy and consider the role of a dedicated sales team in B2B SaaS.

Understanding the Value Proposition

Product-led growth is often based on the assumption that customers have a clear understanding of their needs and wants. However, this is not always the case. As demonstrated by the famous iPhone case study, customers may not know what they need until they are guided to the right solution.

Forgoing a professional sales team in favor of product-led growth can be a misstep, as the role of the sales team goes beyond selling the product. The sales team’s main function is to provide product-market fit, offering solutions that the customer may not have considered. The customer’s default journey may not be the most suitable for their needs, and without the guidance of a professional, they may miss out on the best solution for their needs.

People prefer to receive advice from experts, and a well-trained sales team can offer that expertise. However, many sales teams are viewed as less credible due to a focus on closing sales rather than guiding customers to the right solution. An effective sales team must balance both the needs of the customer and the needs of the company, and should be trained to provide expert guidance to customers, helping them make informed decisions.

Automating the Unimportant

It is true that some aspects of the customer journey can be automated, and when managed correctly, automation can even be used as a sales tactic. In the digital age, transparency is highly valued, and customers appreciate the ability to access information such as pricing and product demos without the need for human interaction.

However, it’s important to note that price and product demos are not the only factors that determine the success of a sale. We can assume that most businesses offer competitive prices that align with the level of service they provide, and that this is also true of the competition. Automated product demos, while convenient, cannot be tailored to the specific needs of each customer.

General pricing and product demos demonstrate general competency, but they are not enough to differentiate a company from its competition. This is where the sales team comes into play. Automating the less important aspects of the sales funnel allows the sales team to focus on the mid-funnel and close, which are critical to securing the sale. An effective sales team can provide personalized guidance and expertise that cannot be replicated through automation.

Overcoming Objections

While automating common objections in the sales process can be a helpful tool, it may not work for more significant clients who have specific and complex questions. In such cases, having a precisely trained and experienced sales team proves to be incredibly valuable. Your sales team should not only be able to overcome objections but also understand the unique problems that your clients might face.

A sales team equipped with industry experience is capable of navigating through the deep-level questioning of a client and finding the best product market fit. This is the stage where sales representatives are not just trying to sell but genuinely trying to understand the client’s needs and tailor their product accordingly.

It’s crucial to avoid making the mistake of giving the entire sales process to technology just because it’s a popular buzzword. While there might come a time when this is possible, we are not there yet. While there might be a handful of articles claiming that Gen Z would rather interact with a computer than a human salesman, these statements only hold true if your sales team does not have any new information to offer.

In today’s world of technological advancements, it’s crucial for both your product and sales team to provide value to clients. Your sales team must create a personal touch and provide new and relevant information to encourage long-term business relationships. As technology evolves, so should your sales team to provide both technological and personal value to your clients. To be successful in sales, it’s important to strike a balance between technology and a human touch.

Want to learn how to leverage a sales team within a Product-led growth motion? Contact us to book a demo!

Group 4

4 ways to prioritize the right customers as a customer success manager

Your success in customer success management primarily comes down to your response to one question: How do you best organize your time with customers? This is especially important in the B2B SaaS environment. You are interacting with more people per day than most folks talk to in a week. What’s more, everyone in your client circle expects to be treated like royalty! How do you prioritize? It’s not easy, but here are some guidelines to help.

ARR

The most obvious way to curate your customer base is by size. The customers that are bringing you the highest annual recurring revenue (ARR) certainly merit some sort of priority. If your business revenues rely on term subscription agreements, ARR is a metric to consider highly.

In most cases, your high ARR customers are the ones that are keeping the lights on. These are usually the customers with more choice about partnerships as well. The bottom line: If they are displeased with your services, it means much more to you than to them if a switch gets made. By all rights, you should be intimidated by this. This is a healthy pressure that keeps good businesses honest. However, it does not mean you should prioritize the needs of these customers to the detriment of your smaller clients.

Customers that may provide a smaller overall ARR may also require less maintenance. If you can more easily retain a group of smaller customers, this leaves your business with the manpower and technical resources it needs to grow. In most cases, a good balance between the two groups is the best solution.

Upsell Potential

If your business is like most companies, it doesn’t make the majority of its revenues from initial sales. Customers who upgrade to your premium products and cross sell opportunities are the ones that really matter to your bottom line.

If you are successfully upselling, that means you are keeping your customers happy. Happy customers, along with the ability to maintain their satisfaction, is a skill that not all companies have. If yours does, you must take full advantage of it.

Make sure you are keeping accurate statistics of important client metrics including product use, product use frequency, team size and adoption rate. From here, you can determine where your ARR is coming from more precisely and prioritize your customers based on their potential for future revenues as well as their current account size with you.

Churn Prevention

In general, it is five times more difficult to get a new customer than to retain a current one. With this in mind, churn prevention should be an important metric in the way you prioritize customers. Creating a health score for accounts may help you to prevent churn; otherwise, you may end up wasting valuable resources putting out fires that could have been prevented.

Make sure you are keeping up with the number of customers using your platform within major accounts, as well as the trends you see in use frequency and behavior. Having a snapshot of usage is one thing, but understanding behavioral and use frequency trends over time is much more telling if an account is at risk of churn.

Personal Relationships

The X factor in any business relationship is the personal outreach between client and vendor. People do business with people they like. The tiebreaker between two companies with similar value offerings is often the personal relationship with the client. If you can help it, try to only do business with clients you know will get along with for a long time.

If you spend time cultivating a good personal relationship with clients, they are more likely to receive your upsell correspondence favorably. They are also much more likely to overlook the inevitable small mistakes that your business will make. This runway is especially essential when you are trying to build relationships from the ground up with new clients.

So yes, you may want to consider prioritizing your clients by the “vibe” they give you. As a matter of fact, you should not be afraid to fire a client if that client is demanding priority that he does not deserve. Trying to make everyone happy can only result in less favor being given to the clients you should actually be prioritizing. Great relationships also improve ARR because happy clients are more likely to renew subscriptions and refer others to your business.

Prioritizing your client base can be difficult, but it is an exercise that you must undertake in order to ensure the longevity of your business. Use the tips above as a general guideline to create a short list of clients that most likely deserve priority support. From here, you can begin to evaluate each relationship from a financial and personal perspective, eventually identifying those handful of important clients that you will be moving forward with in the long term.

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Want to learn more about how you can use your product data to identify the best upsell opportunities and prevent churn? Contact us to book your demo!