You'd think this needs a CRO consultant and a 6-week rebuild — Tycoon Agent finds the actual leak in 90 minutes from PostHog session data.
The short answer
Tycoon Agent fixes checkout abandonment by diagnosing the exact failure point, not by guessing at "best practices." She pulls every session that started checkout in the last 30 days from PostHog and Stripe, builds a step-level funnel (landed on /checkout → entered email → entered card → clicked submit → succeeded), and identifies which step has the biggest drop. Then she replays 20 abandoned sessions to spot the actual cause — slow card validation, confusing copy, broken Apple Pay, hidden tax surprise, missing trust badges. She drafts a specific fix (code change, copy tweak, new payment method, or trust signal), opens a PR, and after deploy runs a 7-day A/B comparison to prove lift. Most teams recover 8-22% of abandoned checkouts within 2 weeks. The deliverable is a Lark report with the diagnosis, the PR, and the post-fix conversion delta.
How Tycoon Agent actually does it
- Build the funnel
Pull last 30d sessions from PostHog. Build steps: landed → email → card → submit → success. Compute drop% at each step. Compare to industry benchmarks.
PostHogStripe
- Replay abandoned sessions
PostHog session replay on 20 random abandoned sessions at the worst-drop step. Look for: errors, hesitation, copy confusion, mobile bugs, payment failures.
PostHog
- Diagnose root cause
Categorize drop reason: tech failure / UX confusion / pricing surprise / payment method / trust deficit. Pick the highest-impact single fix.
- Ship the fix
Open PR with code change, copy tweak, or config update. Include before/after screenshots. Deploy after your approval.
LinearGitHub
- Measure the lift
7-day A/B with 50/50 split. Report daily conversion deltas in Lark. If lift > 5% → keep. If null or negative → revert and try the next-highest hypothesis.
What it looks like in chat
YouFix my checkout abandonment.
Tycoon AgentBuilt the funnel from PostHog (30d, 4,127 checkout starts): - Landed → email: 92% - Email → card: 67% ⚠️ **biggest leak** - Card → submit: 89% - Submit → success: 94% The email→card drop is your $48K/month leak. Replayed 20 abandoned sessions at this step. Pattern: 14 of 20 hesitated 8+ seconds when the card form appeared. Why: tax line shows up only after card entry, and 3 sessions visibly typed an address then deleted it. Diagnosis: pricing surprise. "$49/mo" everywhere → "$54.83/mo with tax" at card step. Fix: show tax line above the email field with "price includes tax" and pre-detect country from IP. PR opens in 30 min. Expected lift: +12-18% on this step, ~$6-9K MRR. 7-day A/B starts after deploy. Approve PR?
What you get back
A Lark report with funnel diagnosis, session replays, the deployed PR, and a 7-day A/B comparison proving (or disproving) the lift in checkout completion rate.
Cadence: One-shot fix per leak; re-runs whenever the funnel shifts > 5%.