Funnel & PLG
Read time:
5 min
Focus:
Funnel & PLG
Engagement Type:
Conversion
Ideal For:
Product-led B2B SaaS
Approach:
Research-led
Method:
AI-accelerated
Product-led growth lives or dies on the funnel — where users sign up, activate, and convert to paid. This walks through how I find where that funnel leaks and turn it into a prioritized plan to move trial-to-paid conversion. (Illustrative example.)
Starting point
A typical starting point: healthy top-of-funnel traffic, but users dropping between signup and activation, and trial-to-paid stuck below where it should be. The team can see the drop-off but is guessing at the why — so fixes are opinion-led and hit-or-miss.
Problem solving
I map the full funnel and pair the quantitative view (where users drop, by segment) with the qualitative one (session behavior, friction points, moments of hesitation). That turns "we're losing people somewhere" into specific, ranked hypotheses about where and why — prioritized by revenue impact.
Implementation
From there, a sequenced set of experiments targeting the highest-leverage moments in the activation and conversion path — onboarding steps, key actions, upgrade prompts — each measured against trial-to-paid and activation, with AI speeding the analysis and variant work while the calls stay human.
Results
A funnel that converts more of the traffic it already has, and an activation path that turns more trials into paying customers — plus a repeatable method for finding the next leak before it costs a quarter. (Illustrative of typical engagement outcomes.)
