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Traditional funnels miss the nuance of individual buying journeys. Conviva's CEO argues for analyzing personal behavior patterns—like a "research shopper" toggling between cart and reviews—to understand user intent and boost conversion, rather than forcing users into a predefined sequence.
A critical insight from Refine Labs is that what marketers call a "funnel" isn't a map of customer behavior, but a framework for an internal sales process. This common misinterpretation leads marketing teams to incorrectly believe they are modeling the buyer's journey when they are merely tracking their own operational stages.
Instead of focusing solely on conversion rates, measure 'engagement quality'—metrics that signal user confidence, like dwell time, scroll depth, and journey progression. The philosophy is that if you successfully help users understand the content and feel confident, conversions will naturally follow as a positive side effect.
Move beyond traditional sales sequences by implementing "invisible funnels" triggered by customer actions, like filling out an intake form. Use automation to analyze their responses and initiate personalized conversations, creating trust and generating sales without a hard-sell campaign.
The traditional sales discovery question "How do they buy?" focused on the procurement process and economic buyers. In a Product-Led Growth (PLG) motion, the crucial question is about the *usage journey*. Sales must analyze user behavior signals within the product—like downloads or manual views—to understand when and how to engage effectively.
The era of linear, multi-step marketing funnels is over. Brands must now craft succinct, cohesive stories that are effective regardless of the order in which a consumer encounters them across channels (email, SMS, social). Each touchpoint must stand on its own while contributing to the whole narrative.
AI is making buyer journeys non-linear and compressed. Instead of a linear funnel, GTM strategy must shift to a continuous, customer-centric "flywheel" model. Buyers conduct deep research upfront, making direct sales engagement optional for some and requiring an always-on, value-first approach.
Academics defend the funnel as an aggregate snapshot of a market's proximity to purchase, not a literal customer path. However, this theoretical definition is irrelevant because practitioners use it as a linear tool for micro-optimizations (e.g., MQL to SQL conversion), which is precisely why it fails to reflect the non-linear reality of modern buying.
Instead of a top-down approach where you must know what questions to ask your data, Conviva's CEO advocates for a bottoms-up methodology. Collect all behavioral data, compute patterns, and let the platform automatically surface trends and interruptions, telling you where to act.
The old funnel model assumes a linear path, but customers interact across channels constantly. This model shows what happened (e.g., a click) but misses the underlying intent and what the customer actually needs in that moment, providing a flawed view of the journey.
While product teams design simple 6-7 step funnels, data from Conviva reveals that the average real-world e-commerce buying journey involves over 50 steps, sometimes even 150. This starkly illustrates how much user behavior and intent is lost in traditional, oversimplified analytics models.