Why Conversion Funnel Models Don’t Work for Customer Communities—and How to Measure What Really Matters
Lauren Turner
Customer-Led Growth Expert | Top 100 Customer Marketing & Advocacy Strategist | Driving Transformational Customer Experiences
Customer advocacy and engagement are crucial to driving retention, upsell, and long-term revenue growth. Yet, when it comes to customer communities, many companies still rely on the traditional conversion funnel to measure success—a framework that doesn't capture the full value these communities bring to the business.
The truth is, customer communities are an ecosystem, not a linear conversion funnel (frankly, the pre-sales customer journey isn't linear either, but that's a topic for another blog post). Each interaction within a community—from answering a peer’s question, to participating in a webinar, to sharing product feedback—has a cumulative and additive effect on both customer advocacy and revenue. Yet, when budgets tighten, these communities are often first on the chopping block, partly because their impact is more difficult to quantify in a simple "put in X dollars for Y activity, get Z ROI" way.
Here’s why the funnel model falls short and how you can measure the true impact of customer communities on your business.
The Problem with the Funnel Model
The conversion funnel assumes a linear, predictable path from awareness to purchase. But customer communities don't work this way. In reality, community members engage with a brand in non-linear ways, with multiple touchpoints throughout their journey.
For example:
In a community, value builds over time. It’s not just about getting a customer from point A to point B; it’s about continuous engagement that builds loyalty, strengthens the brand, and drives long-term growth.
Don’t Conflate "Easy to Measure" with "Valuable"
One of the biggest mistakes in evaluating the success of a customer community is focusing too much on what’s easy to measure. Metrics like post counts, likes, and the number of active users are vanity metrics that don’t fully reflect the business impact. While these are simple to track, they often lead to undervaluing community contributions because they don’t directly link to revenue.
The challenge is that communities foster long-term relationships and influence that are harder to track but are deeply valuable. Acts of advocacy—such as case studies, reviews, and reference calls—that emerge from community engagement directly contribute to sales and revenue growth but often go unnoticed (or uncredited) in traditional KPIs. These advocacy activities are powerful touchpoints that build credibility and influence potential buyers, leading to more renewals, upsells, and cross-sells over time. While the value of these contributions may not be immediately visible, they are critical to the overall health and growth of the business.
A Better Way to Measure the Impact of Customer Communities
To truly capture the value of customer communities, you need to use a more nuanced approach to measurement. Here are three key business outcomes where communities have a significant impact—and actionable ways to measure it.
1. Renewals and Retention
Customer communities often serve as a source of ongoing education, support, and peer networking. Engaged customers are more likely to renew because they feel connected to both the product and the brand. Here’s how you can measure that:
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2. Upsell and Cross-Sell Opportunities
Active community members are often the most knowledgeable about your product, making them prime candidates for upsell and cross-sell opportunities. They’re more likely to adopt new features and expand usage because they’re highly engaged.
3. Overall Revenue Impact
Measuring the community’s overall contribution to revenue requires looking beyond individual transactions to understand the cumulative effect of customer advocacy and engagement.
Tangible Ways to Track Community Activities in Your CRM
For most marketing and customer success teams, the CRM is already the central hub for tracking customer interactions. By integrating community touchpoints, you can get a fuller picture of how community engagement drives revenue. Here’s how to do it:
Making the Case for Investment
Customer communities are too valuable to be relegated to the "nice-to-have" category, only to be cut when budgets shrink. To ensure these communities receive the strategic focus and funding they deserve, program managers need to measure and communicate their long-term value effectively. By moving beyond surface-level metrics and applying advanced attribution models like time decay, you can show that communities are not just engagement tools but revenue drivers.
In the end, it’s about understanding that community impact is cumulative—each interaction builds on the next, and over time, these touchpoints lead to stronger customer relationships, higher renewal rates, and increased revenue. The path may not be linear, but the impact is undeniable.
Is your company looking to build out a customer community, or does your current one need a tune-up? Let's talk!
Empowering brands to reach their full potential
2 个月Lauren, thanks for sharing! Any interesting conferences coming up for you?
I help companies, entrepreneurs & organizations build engaging sustainable online communities | I'm a superfan of Coffee, Community & Storytelling.
2 个月Indeed, this is also an issue in B2B marketing and there is beginning to be an awareness to that effect. Great analysis.
Helping B2B and nonprofits to grow through intentionally designed Online Communities, Digital Workplaces & Talent Engagement Journeys | Fractional & Consulting Leader
2 个月This analysis of the (shortcomings of the) conversion funnel is excellent and long overdue! Your point about how these are not linear buyer's journeys resonates with something I heard from Ogilvy some years ago, suggesting that it's not a funnel but more of a "customer journey spiral"? I had never heard of a time decay model and want to learn more about how that works. More broadly, how would you recommend going about getting these models set up? It sounds like I'd need a dedicated data scientist to set up all of those attribution models.