Product AnalyticsWork example2026

AI SaaS Product Funnel Diagnosis

Analytical Question

Where do prospective enterprise users experience friction in the onboarding journey of an AI SaaS platform, and which touchpoints drive activation?

Designed and deployed event tracking taxonomies in PostHog for a standalone B2B AI SaaS product. Mapped acquisition funnels from landing page discovery through sandbox execution, identified critical drop-off choke points, and formulated data-backed UX recommendations.

Methodology & Stack:
PostHogFunnel AnalyticsEvent TaxonomyUser CohortingB2B SaaS Growth
01 / Context & Problem

Problem Framing and Analytical Objective

For B2B AI software, user conversion depends heavily on reaching the 'aha moment' before trial friction sets in. Without precise event telemetry, marketing teams cannot discern whether low conversion stems from messaging misalignment, onboarding friction, or unclear product value demonstration.

During pre-sales and solutions engineering at Webomates, this initiative mapped user activity across marketing channels, interactive trial sandboxes, and enterprise demo requests.

02 / Architecture & Methodology

Analytical Steps and Modeling Workflow

01

Event Taxonomy Architecture

Defined standardized event nomenclature (category, action, label) across user entry, documentation views, test run triggers, and demo booking submissions.

02

Funnel Construction in PostHog

Constructed multi-step conversion funnels tracking: Landing Discovery -> Documentation Reading -> Interactive Sandbox Run -> Enterprise Contact Submission.

03

Cohort & Friction Diagnostics

Segmented users by acquisition source (LinkedIn campaigns, organic search, outbound email) and identified drop-offs at credential verification and sandbox parameter setup.

04

Recommendations & Experimentation

Recommended pre-populated sandbox templates to eliminate blank-state friction and consolidated multi-step discovery forms into single-click action paths.

03 / Model Assumptions

Baseline Assumptions and Parameter Inputs

  • User identification mapped via anonymous session IDs until explicit email authentication occurred.
  • Bots and internal company IP ranges excluded from funnel metrics via PostHog property filters.
04 / Findings & Outcomes

Analytical Judgement and Observed Insights

Outcome 01

Identified that 64% of sandbox drop-offs occurred when users were presented with manual API key configuration, pointing to the need for hosted sandbox demonstration keys.

Outcome 02

Users who completed at least one pre-built test template converted to enterprise sales demo requests at a 4.2x higher rate than passive documentation readers.

05 / Scope & Limitations

Critical Limitations and Uncertainty Boundaries

Model Boundaries and Known Caveats
  • Evaluation window was limited to initial rollout cohorts; seasonal enterprise budget cycles can influence longer-term enterprise sales velocity.