Running Rejourney as a service, Analytics and Reporting Tools

Rejourney Agency Implementation, Monetizing Session Replay for Conversion Diagnostics

Learn how to deliver Rejourney as a retainer service by setting up leak detection workflows, training clients to interpret AI-ranked conversion blockers, and packaging session replay evidence into developer handoff reports. This course covers SDK implementation, funnel configuration, and building recurring revenue from ongoing optimization cycles.

Open the decision record for Rejourney

What does running Rejourney for clients commit you to?

Published figures for this service. Blank fields are not published.

Monthly tool cost
Not published, Rejourney uses tiered pricing based primarily on captured session volume, but no specific plan prices are present in the extracted data. Contact vendor for exact tier costs.
Time to first value
days
Payback
Not modeled, client price, labor, usage, overhead, and expected volume are not supplied.
Guided implementation
8 hours

Is Rejourney worth running as a client service?

Rejourney is a strong evidence-backed tool for agencies with technical staff to diagnose and fix conversion leaks for e-commerce and SaaS clients, as supported by its AI leak detection and suggested GitHub fixes. What remains unknown is the actual vendor cost per tier, the agency's labor cost, and whether clients will pay a premium for managed leak remediation.

An agency-fit judgement for reselling this service. It is separate from the tool description on the decision record.

Before you start

What has to be in place before the first client engagement.

Tools and subscriptions

  • Rejourney Web SDK
  • Rejourney Mobile SDKs (Flutter, React Native, Expo, iOS)
  • GitHub integration (for suggested fixes via Rejourney Marlin)
  • Access to Rejourney Smart Capture rules
  • PostHog, Sentry, Datadog, Amplitude, Mixpanel, Pendo, Fullstory, Smartlook, or Hotjar (optional integrations depending on client stack)

People and inputs

  • Development capability to implement Web and Mobile SDKs and act on suggested GitHub fixes
  • Process for defining Smart Capture rules to limit recorded sessions to relevant user journeys
  • Time budget for medium-complexity setup and a time-to-value measured in days
  • Ability to review session replays with console errors, network requests, and dead taps

Included with the course

7 working documents for delivering this service.

  • Rejourney SDK Setup Checklist for Web and Mobilechecklist
  • AI Leak Detection Triage Template - Revenue Impact Scoringtemplate
  • Monthly Conversion Diagnostics Report SOPsop
  • Funnel Drill-Down Worksheet - Checkout and Onboarding Flowsworksheet
  • Client Handoff Guide - Session Replay Evidence for Developersguide
  • Rejourney Pricing Tier Comparison and Upsell Scenariostemplate
  • GitHub Integration Workflow - From Replay to Suggested Fixsop

Listed by name. These documents are not yet published as individual downloads.