Rejourney provides a lightweight SDK that records user sessions and automatically detects friction points causing revenue loss, such as dead clicks or checkout failures. By delivering high‑fidelity context packets and AI‑generated fix suggestions, it helps product teams quickly resolve issues, boosting ROAS and conversion rates without additional ad spend.
Funding
Funding not disclosed
Founders
Product
Problem
Product teams often lose revenue because they cannot quickly identify which user interactions cause drop‑offs in checkout, onboarding, or subscription flows. Traditional analytics provide aggregate metrics but lack the precise context needed to pinpoint and fix the exact UI or backend friction points.
Solution
Rejourney offers a lightweight SDK that records user sessions and automatically detects high‑impact friction events using AI. The SDK captures high‑fidelity context packets and generates LLM‑optimized markdown files that developers can feed into AI coding assistants to produce bug fixes and verification tests. By surfacing exact drop‑off moments—such as dead clicks, unresponsive buttons, or payment gateway timeouts—teams can implement targeted fixes within hours, turning lost ad spend into recovered revenue. The platform also provides session replay, heatmaps, funnel analytics, and a query builder to isolate problematic journeys across web, mobile, and e‑commerce stacks. Integrated pricing tiers scale with session volume, and self‑hosting options allow enterprises to keep data on‑premise.
Target Audience
Primary customers are product, growth, and engineering teams at web and mobile companies that rely on paid advertising or subscription revenue and need to quickly recover lost conversions.
Features
- Lightweight SDK for web, mobile, and e‑commerce that records full session replays with minimal bundle impact
- AI‑driven friction detection that highlights the most revenue‑critical drop‑offs and generates structured markdown for automated bug‑fix generation
- Context‑rich packets include device, error, API, and user‑action data, optimized for LLM consumption
- Built‑in session replay, heatmaps, and funnel analytics to visualize user journeys and conversion funnels
- Smart Query Builder to filter sessions by specific behaviors, errors, or churn indicators
- Multi‑tier pricing with free and paid plans scaling from 5,000 to 1,000,000 session replays per month
- Optional self‑hosted deployment via Docker or Kubernetes for full data control