customer lifetime value

Beyond the Numbers: The True Essence of Customer Lifetime Value

Imagine if you knew exactly what each customer walking into your virtual store desired, the exact moment they would make a purchase, and how much they’d spend over a lifetime with your brand. This isn’t a fantasy; it’s the power of understanding Customer Lifetime Value (LTV). But, why should we delve deeper into LTV, and how does it transcend mere revenue metrics?

What Exactly Is Lifetime Value?

At its essence, LTV calculates the total revenue a business can expect from a single customer account over the duration of their relationship. This calculation not only forecasts revenue but also informs strategies around customer acquisition, retention, and experience.

Why Does Lifetime Value (LTV) Matter?

At its core, LTV represents the total revenue a business can expect from a single customer throughout their relationship. It’s a narrative that extends beyond the initial transaction, offering insights into the long-term value of customer engagement. But why is this narrative so crucial for businesses today?

Unraveling the Mystery of LTV Calculation:

How Do You Calculate Lifetime Value?

The journey to calculate LTV starts with a seemingly simple formula: Average Revenue Per User (ARPU) multiplied by Customer Lifespan. However, this formula only scratches the surface. To truly grasp LTV, adjustments and considerations must be made for factors such as churn rate and the cost of serving different customer segments.

For instance, if your ARPU is $100 and the average customer lifespan is 3 years, with a profit margin per customer of 30%, the basic LTV calculation would be:

LTV = ARPU \times Customer Lifespan \times Profit Margin = $100 \times 3 \times 0.30 = $90

LTV Calculation

This calculation provides a foundational understanding, but the real magic lies in diving deeper, analyzing individual segments, and understanding the nuances that influence these numbers.

Why Is LTV Not Just About Revenue?

Considering LTV merely as a revenue metric overlooks its potential to unlock profound insights into customer behavior and preferences. It’s a lens through which businesses can view the effectiveness of their engagement strategies and customer experiences.

From the Users’ Perspective:

Who Are Your Most Profitable Users?

Identifying high LTV customers involves more than just analyzing purchase history; it requires an understanding of their behaviors, preferences, and engagement patterns. For example, Spotify’s personalized playlists like “Discover Weekly” cater to individual tastes, enhancing user satisfaction and engagement, thereby potentially increasing LTV.

Tailoring Experiences for Different Segments:

Netflix’s content recommendation system exemplifies the power of personalized experiences in increasing engagement and LTV. By understanding the diverse preferences of its audience, Netflix successfully delivers content that resonates with each segment, showcasing the impact of tailored experiences on LTV.

Enriching User Experience with LTV Insights:

Creating Personalized Paths:

Amazon’s recommendation engine demonstrates how personalization can significantly impact LTV. By curating product suggestions based on individual browsing and purchase histories, Amazon crafts a shopping experience uniquely tailored to each user, encouraging repeat engagement and purchases.

Leveraging Feedback for Continuous Improvement:

Incorporating user feedback into product development, as Slack does, emphasizes the value of listening to your customers. This approach not only enhances the product but also builds loyalty and trust, key components of increasing LTV.

Crafting a Future Together: The Lifelong Journey of LTV and Customer Success

Understanding LTV transcends mere number crunching; it’s about forging lasting relationships where both the business and its customers find value and satisfaction. This shared journey of growth underscores the importance of viewing LTV as a partnership, where mutual benefits and successes pave the way for a thriving future.

By prioritizing LTV, businesses embark on a path of deep customer understanding, personalized experiences, and strategic growth. It’s a commitment to not just achieving financial goals but to enriching the lives of those they serve. Through this lens, LTV becomes a guiding light toward a future where businesses and customers grow and succeed together, beyond the numbers.

This comprehensive exploration of LTV, from its calculation to its strategic importance from a user perspective, underscores the multifaceted value of understanding and optimizing this crucial metric.

the time is now

Embracing the Digital ‘Now’: The Synchrony of Real-Time Data and Personalization in Customer Engagement

 

TL;DR

The digital ‘now’ necessitates a swift embrace of real-time data and AI-driven personalization to enhance customer engagement. Bain & Company’s 2023 Tech Report stresses the critical need for agile, scalable digital infrastructures that deliver proactive, personalized experiences across various channels. This strategic pivot is not just about meeting immediate consumer demands but also about anticipating future needs, which is key to boosting both conversion and retention rates, ultimately elevating customer lifetime value (CLV). The current digital landscape offers a prime opportunity for businesses to innovate and grow by crafting personalized customer journeys that resonate deeply and build lasting relationships. The imperative is clear: to thrive, businesses must act now to harness the transformative power of the digital ‘now’.

Embracing the Digital Imperative

The digital landscape is evolving at an unprecedented pace, and the intersection of real-time data and personalized customer engagement is at the heart of this
transformation. Bain & Company’s 2023 Tech Report vividly illustrates the urgency for businesses to adapt, emphasizing the need for a robust digital architecture that’s not just robust but also agile and forward-thinking. This urgency is not a call to the future; it’s a demand for the now.

Businesses today are tasked with harnessing the power of micro-moments and AI-driven engagement to craft customer experiences that are not only responsive to today’s needs but also anticipatory of tomorrow’s expectations. The stakes are high in a world where consumer expectations are continuously shaped by the immediacy and personalization of digital interactions.

To thrive, companies must build digital infrastructures that can pivot and scale with the ever-changing demands of the market. It’s about creating a proactive customer experience, leveraging real-time data to deliver personalized interactions that resonate with customers at every touchpoint.

Join us as we explore the strategies that will define the new era of customer engagement, where the ability to act in the digital ‘now’ is the key to unlocking a future of enduring customer relationships and sustained business growth.

 

The Present is Digital

Our digital dialogue focuses on a crucial aspect of business growth: customer lifetime value (CLV). Insights from Bain align with our approach. They suggest that real-time data and AI go beyond immediate conversions. These tools foster ongoing interactions that build lasting relationships and drive growth.

Real-Time Data: The Pulse of Personalization:

Real-time data is the lifeblood of modern customer engagement, pulsating through the veins of business strategies to energize personalized experiences. Our discussions on micro-moments and the spontaneity inherent in B2C interactions align with the insights from Bain’s report, emphasizing the transformative power of immediate data. This isn’t merely a flow of information; it’s the heartbeat that gives rhythm to the dance of personalization.

When businesses tap into the stream of real-time data, they gain more than insights—they gain foresight. This data allows them to predict customer needs, craft communications with precision, and engage with individuals at the peak of their interest based on their behavioral targeting and other factors. It’s about delivering the right message, on the right platform, at the right time, ensuring that relevance is never lost in the noise of the digital world

The potency of real-time data lies in its ability to turn every customer interaction into an opportunity for connection. Whether it’s a personalized offer, a timely recommendation, or a responsive customer service touchpoint, these data-driven actions create a narrative of care and attention that resonates with customers.

Moreover, the agility provided by real-time data analytics means businesses can pivot with the ebb and flow of customer desires, maintaining a dynamic and responsive engagement strategy. It’s this adaptive approach that can transform a potential customer into a loyal advocate, making personalization not just a strategy but a cornerstone of the customer experience.

With the increasing need of personalized customer experiences in the digital age, businesses need to be able to use real-time data effectively to create a competitive edge that is both powerful and sustainable, in order to set themselves apart from the competition. In today’s fast-paced digital commerce world, businesses that embrace this pulse of personalization will survive and thrive.

AI-Driven Segmentation: Beyond Demographics

The evolution of customer segmentation is rapidly advancing from static demographics to dynamic, behavior-driven insights, thanks to AI. Bain’s report on intelligent architectures echoes our findings: AI-driven segmentation is essential for deeply personalized engagement.

AI transforms segmentation by analyzing complex data patterns, including customer behaviors and preferences, to create highly targeted micro-segments. This nuanced approach, enriched with behavioral targeting, enables businesses to deliver personalized experiences that resonate on an individual level.

By leveraging AI, companies can predict and respond to customer needs in real-time, ensuring that personalization is not just reactive but also anticipatory. This level of tailored engagement is what distinguishes forward-thinking businesses in today’s digital marketplace.

Crafting Personalized Journeys in the Digital Architecture

The digital architecture that Bain champions is the scaffold upon which personalized customer journeys are constructed. It’s not merely about laying down a path but about weaving a journey that grows and adapts with each customer. This architecture serves as the foundation for integrating the rich insights gleaned from real-time data with the predictive prowess of AI, enabling a seamless and dynamic customer experience.

In this architecture, every touchpoint is an opportunity for personalization, from the first interaction to the ongoing relationship. It’s a system designed to learn from each customer interaction, using this knowledge to anticipate needs and tailor future experiences. This level of customization means that the customer journey is never static; it’s a living, breathing process that continually evolves based on a deep understanding of the customer’s behaviors, preferences, and feedback.

The result is a multi-channel strategy harmonized through behavioral targeting. It resonates with the customer’s lifestyle and preferences, ensuring that every interaction—regardless of the platform—adds value to their journey.

The Multi-Channel Imperative

Echoing the insights from the Bain report, our discourse on multi-channel engagement highlights the critical need for agility and scalability in our interactions with customers. It’s not enough to have a presence on multiple platforms; what’s imperative is the ability to engage with customers effectively wherever they are—be it within an app, through an email, or on social media.

A robust digital architecture is the cornerstone that ensures these channels are not isolated points of contact but part of a cohesive, integrated system. This integration is vital for delivering a seamless and personalized customer experience that aligns with the fast-paced, interconnected nature of the digital ‘now’.

By weaving together these various channels, businesses can create a tapestry of engagement that feels both natural and intuitive to the customer. Each channel must be tuned to deliver consistent messaging, branding, and service quality, all while capturing the unique advantages and contexts of each platform.

The result is a multi-channel strategy harmonized through behavioral targeting. It resonates with the customer’s lifestyle and preferences, ensuring that every interaction—regardless of the platform—adds value to their journey.

Elevating Customer Lifetime Value

The strategies we’ve woven into the fabric of our digital dialogue aim at the heart of business growth: elevating customer lifetime value (CLV). Bain’s insights converge with our philosophy, advocating that the fusion of real-time data and AI transcends beyond the immediacy of conversions. It’s about nurturing a continuum of interactions that build enduring relationships and, in turn, drive sustained growth.

Enhancing Conversion and Retention

Incorporating real-time data analytics and AI into our digital strategies does more than just boost immediate sales; it refines the entire customer lifecycle, enhancing both conversion and retention rates. By understanding and anticipating customer needs, businesses can tailor experiences that not only attract customers but also keep them engaged over time. This heightened engagement leads to increased frequency of purchases, higher transaction values, and, ultimately, a greater CLV.

Moreover, the predictive capabilities of AI allow for a more nuanced approach to customer retention strategies. By identifying at-risk customers before they churn, businesses can proactively engage with personalized incentives and communications, effectively increasing retention rates. Similarly, AI can pinpoint opportunities for up-selling and cross-selling, presenting customers with options that feel bespoke and timely.

The integration of these technologies ensures that every customer interaction is an opportunity to solidify loyalty and encourage ongoing engagement. It’s a virtuous cycle where enhanced personalization leads to better customer experiences, which in turn lead to higher CLV—a critical metric in measuring the health and potential of a business.

In the digital ‘now’, where customer expectations are ever-evolving, the ability to dynamically adapt to these expectations is what will set apart thriving businesses. By focusing on CLV through the lens of real-time data and AI, companies can unlock a level of customer engagement that not only drives conversions but also fosters a loyal customer base that is the true engine of growth.

The Time Is Now:

Echoing the urgency of the Bain report, we reiterate: the time to act is now. The digital ‘now’ demands a new approach to customer engagement—one that’s proactive, personalized, and powered by real-time data and AI. Businesses that embrace this approach will not only thrive today but will pave the way for the future of customer engagement.

Seizing the Digital ‘Now’

In the digital ‘now’, where customer expectations are ever-evolving, the ability to dynamically adapt to these expectations is what will set apart thriving businesses. By focusing on CLV through the lens of real-time data and AI, companies can unlock a level of customer engagement that not only drives conversions but also fosters a loyal customer base that is the true engine of growth.

The time to act is now. The digital ‘now’ demands a new approach to customer engagement—one that’s proactive, personalized, and powered by real-time data and AI. Businesses that embrace this approach will not only thrive today but will pave the way for the future of customer engagement.

The synergy of real-time data, AI-driven segmentation, and personalized customer journeys is defining the new era of customer engagement. As we’ve seen in our own platform’s capabilities and as reinforced by Bain’s 2023 Tech Report, the digital ‘now’ is a landscape ripe with opportunity. For businesses ready to seize this moment, the path forward is clear: invest in the digital architecture that supports this synchrony, and the rewards will be both immediate and enduring. The time is now, and the digital ‘now’ is yours to define.

 

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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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.

NRR vs GRR

Why Net Revenue Retention is More Important Than Gross Revenue Retention for SaaS Companies 

As SaaS companies grow and mature, it becomes increasingly important for them to track their revenue retention, which is the percentage of revenue that a company retains from its existing customers over a certain period of time. This metric is essential for measuring the health of a SaaS business, as it indicates how much value the company is delivering to its customers and how much it is able to monetize that value over time.

Traditionally, SaaS companies have focused on gross revenue retention (GRR), which measures the percentage of revenue retained from all customers, including those who churned and then later returned. However, in recent years, there has been a shift towards a more nuanced metric called net revenue retention (NRR), which only includes revenue from customers who have not churned. In this blog post, we will discuss why NRR is more important than GRR for SaaS companies and how it can help them to achieve sustainable growth.

What is Net Revenue Retention (NRR)?

Net Revenue Retention (NRR) is a measure of the revenue a SaaS company retains from its existing customers after accounting for cancellations, downgrades, and upgrades. Essentially, NRR looks at the revenue generated from customers who are still actively using the product or service. To calculate NRR, you would take the revenue generated from a cohort of customers at the beginning of a period (e.g. a year), and then subtract the revenue lost from customers who canceled or downgraded their subscription during that period. Finally, you would add the revenue gained from customers who upgraded their subscription during the period.

NRR is a more refined metric than GRR because it takes into account changes in the revenue generated by individual customers over time. It allows SaaS companies to see how much revenue they are generating from their existing customers and how much they are losing due to churn or downgrades. By tracking NRR, companies can identify areas where they need to improve their product or service, as well as identify opportunities for upselling and cross-selling.

Why NRR is More Important than GRR for SaaS Companies

While GRR is still a useful metric for SaaS companies, NRR is becoming increasingly important. There are several reasons why NRR is a better metric for measuring the health of a SaaS business.

First, NRR provides a more accurate picture of the company’s revenue growth. GRR can be misleading because it includes revenue from customers who churned and then later returned. Considering your churned users can get to a significant percentage, it’s definitely something you should consider in your calculations. While this may look good on paper, it does not necessarily indicate that the company is delivering value to its customers. NRR, on the other hand, only includes revenue from active customers, which means that it reflects the company’s ability to retain its customers and generate revenue from them over time.

Second, NRR is a better indicator of customer satisfaction. By focusing on revenue generated by active customers, NRR takes into account the value that the company is delivering to its customers. If a company has a high NRR, it indicates that its customers are satisfied with the product or service and are willing to continue paying for it. If NRR is low, it may indicate that the company needs to improve its product or service to better meet the needs of its customers.

Third, NRR provides a clearer picture of the company’s revenue potential. By tracking NRR, SaaS companies can identify opportunities for upselling and cross-selling to existing customers. This is important because it is much easier and more cost-effective to sell to existing customers than to acquire new ones. If a company has a high NRR, it indicates that there are opportunities to increase revenue from existing customers through upselling and cross-selling.

Fourth, NRR is a better indicator of long-term growth potential. While GRR can fluctuate from quarter to quarter, NRR provides a more stable measure of a company’s revenue retention over time. By focusing on revenue generated by active customers, NRR provides a more accurate picture of a company’s ability to generate sustainable growth over the long term.

Fifth, NRR takes into account changes in customer behavior over time. GRR does not account for the fact that some customers may downgrade their subscription or change their usage patterns over time. NRR, on the other hand, reflects changes in customer behavior and allows companies to adapt their strategies accordingly. By tracking NRR, SaaS companies can identify trends in customer behavior and adjust their product or service offerings to better meet the changing needs of their customers.

How SaaS Companies Can Improve NRR

Improving NRR requires a deep understanding of customer needs and behaviors. SaaS companies can take several steps to improve their NRR, including:

  1. Providing exceptional customer service: Happy customers are more likely to stick around and recommend your product or service to others. Providing exceptional customer service can help to improve customer satisfaction and reduce churn.
  2. Offering targeted upgrades and add-ons: SaaS companies should offer upgrades and add-ons that are tailored to the needs of their customers. By offering targeted upgrades, companies can increase their NRR by generating additional revenue from existing customers.
  3. Regularly updating and improving the product or service: SaaS companies should constantly be improving their product or service to better meet the changing needs of their customers and thus, increase customer satisfaction and reduce churn.
  4. Investing in customer success: SaaS companies should invest in customer success programs to help their customers get the most out of their product or service. By helping customers to achieve their goals, companies can increase customer satisfaction and improve NRR.
  5. Track customer usage and satisfaction: From product-led revenue platforms to expensive BI teams, to simple NPS surveys, tracking customers’ activity and happiness is critical for building a solid growth strategy. 

In conclusion, while gross revenue retention (GRR) has been the traditional metric for measuring revenue retention for SaaS companies, net revenue retention (NRR) is becoming increasingly important. 

NRR provides a more accurate picture of a company’s ability to retain its customers and generate revenue from them over time. To improve NRR, SaaS companies should focus on providing exceptional customer service, offering targeted upgrades and add-ons, regularly updating and improving their product or service, investing in customer success programs, and tracking their users’ activity and satisfaction. By doing so, they can improve customer satisfaction, reduce churn, and increase their revenue retention over time.

Unlocking Business Success

Unlocking Business Success: The Crucial Importance of Customer Retention for Maximum Growth

As Robert Half once said, “When the customer comes first, the customer will last.” And this is definitely true for all businesses in the extremely competitive landscape of 2023. For many years, the core question for each business was: “What should we do to acquire more customers?”. Now, more and more companies realize that to enhance long-term growth and thrive, it is imperative to switch towards “How do we retain the customers we already have?”

As the 2022 Twilio Segment Growth Report emphasizes, companies are adjusting their focus from “growing at all costs” to fostering long-term client loyalty in response to the volatile macroeconomic environment and enhancing customer retention. 

Moving forward, we’ll explore the most important benefits propelled by customer retention.

 

What is Customer Retention?

Customer retention encompasses the capacity of a business to retain its existing customers and maintain their loyalty over time. Implementing efficient strategies for customer retention is not just a numbers game; it is about building relationships, streamlining the customer journey, providing value, and creating memorable experiences. 

To truly retain customers, businesses must meet and exceed customer expectations at every turn, building loyalty that will encourage them to return for more.

 

Increasing ROI & Profits

Increasing customer retention rates can significantly impact a company’s bottom line. The expenses of acquiring new customers have climbed by more than 50% in the last five years alone. Research from Harvard Business School shows that even a 5% increase in customer retention rates can lead to a 25-95% increase in profits. 

Existing customers often make up a significant portion of a business’s revenue, with estimates from Small Biz Trends suggesting that they can account for up to 65% of a company’s business. This makes retaining them crucial for long-term success.

Furthermore, when you focus on retaining your existing customers, you won’t need to spend as much money on marketing to attract new ones. This doesn’t mean you should abandon marketing altogether but supplement it with methods catering to customer retention. Doing so can reduce your customer acquisition costs and boost your profits.

 

Enhancing Innovation & Optimization

Without a doubt, customer retention is a complex process that requires a deep understanding of customer needs and preferences, as well as a commitment to delivering the best possible customer experience. 

 

Apptentive have shown that almost all customers (97%) are more likely to remain loyal to a business that considers their suggestions, while over half (55%) are less inclined to do business with a firm that does not.

 

When a business has a laser-sharp focus on its customers’ desires and demands, it can better address them and strengthen its position in the market against competitors. In this way, the value of keeping existing customers may help you spot opportunities for product improvement and refinement in response to market shifts.

 

Converting More Sales

Loyal clients become more valuable assets to your business. Instead of constantly searching for new leads, you can focus on nurturing your existing customers and maximizing their potential value to your business. Several studies highlight that repeat buyers are more loyal and have a higher propensity to try new items (by a factor of 50%) and spend (31% on average) than first-time buyers.

 

In addition, there is a 14-fold greater chance of making a sale to an existing client than to a new one, as indicated by Pearson, upselling and cross-selling to returning customers is like shooting fish in a barrel. These customers already trust and appreciate your brand, so it’s easier to convince them to purchase additional products or services. 

 

Encouraging Word-of-Mouth Advertising

Word-of-mouth advertising is a powerful venue for businesses because it is not only the most cost-effective form of advertising but also the most trustworthy. When loyal customers share their positive experiences with others, they advocate for the brand, essentially providing free advertising.

 

Demonstrating the power of customers’ personal recommendations, Nielsen found that almost half of U.S. consumers rely on their friends and family for brand awareness, and 92% of people trust recommendations from those close to them over any other type of marketing. 

 

According to research by Temkin Group, if a customer has a good experience with a company, 77 %of them would refer that brand to a friend. These “mini-marketers” may work in tandem with your existing marketing and sales activities to help bring in new leads and save time in the process of closing sales.

 

Bottom Line

By focusing on building strong relationships with existing customers and exceeding their expectations, companies can benefit from increased ROI, word-of-mouth advertising, and more sales conversions. 

 

Retaining customers can also provide valuable insights into product innovation and refinement. As businesses focus on retaining their customers, they position themselves for long-term growth and success.


If you efficiently leverage your product data, you can acquire valuable insights into customer behavior and preferences, allowing you to tailor your approach and increase the likelihood of repeat business. If you’re interested in learning more about how to do this, contact us today to book your demo and take the first step toward improving your customer retention and overall business growth.