A/B testing platform with accurate order and visitor data collection
Built for conversion-focused ecommerce and SaaS teams.
“Tracking is inaccurate even after 24 hours. The app doesn't collect data on orders or visitors at all. I wasted two days testing only to see results that ... Re…”
The receipts — real demand
“Tracking is inaccurate even after 24 hours. The app doesn't collect data on orders or visitors at all. I wasted two days testing only to see results that ... Read more”
Full dossier
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Every corroborating quote, the source receipts, and the community echo. One email, no payment.
Why this is a gap
Surfaced from a high-intensity complaint with clear willingness to pay and a specific, reachable audience.
The market
Conversion-focused e-commerce and SaaS teams run A/B tests to optimize revenue. No search volume provided, but the pain (inaccurate tracking and missing order data) is a known friction point in a mature category.
Competition & the opening
Optimizely, VWO, Google Optimize (sunsetted but GA4 + Firebase remain), AB Tasty, Statsig, and LaunchDarkly dominate this space. The gap: these platforms either lack order-level data collection (Statsig, LaunchDarkly focus on feature flags) or suffer attribution lag, especially for multi-step purchase flows.
What's hard to build
Accurate order and visitor attribution requires server-side pixel firing, customer ID matching across sessions, and real-time data pipeline infrastructure. Data quality degrades fast with cross-domain traffic, bot filtering, and ad blockers—hard to solve without significant engineering.
Why now
Google sunsetting Optimize forced merchants to seek alternatives; most platforms still struggle with cross-domain order attribution in ecommerce A/B tests.
How you'd monetize
$99–299/mo tiered by traffic (freemium not viable; must compete on segment data