Rejourney
Rejourney is a product analytics platform that records web and mobile user sessions and applies AI to detect conversion leaks ranked by estimated revenue impact. It combines session replay, funnel analysis, heatmaps, and crash diagnostics in a single dashboard. The platform flags dead clicks, failed gestures, and abandoned interactions, then surfaces console errors and API failures alongside session context. Rejourney integrates with GitHub, PostHog, Sentry, and Datadog, allowing teams to pipe insights into existing monitoring workflows. Agencies use Rejourney to compress the workflow of diagnosing why users drop off and generating actionable evidence for developer handoff.
Rejourney is a product analytics platform, priced at $15/month on the Growth plan, integrating with GitHub, PostHog, Sentry, and Datadog. InnovaAI scores it 4.1/10 for agency adoption, best for Project Manager, UX Researcher, and Account Executive roles handling 5+ client meetings per week.
Agency Audit
Rejourney is a product analytics platform that combines session replay, funnel analysis, heatmaps, and crash diagnostics with AI-powered leak detection to surface conversion blockers ranked by revenue impact. Agencies running product optimization, UX research, or e-commerce projects benefit most from adopting it internally, since it compresses the workflow of identifying why users drop off and generating actionable evidence for developer handoff. The platform integrates with GitHub, PostHog, Sentry, and Datadog, making it a natural fit for teams already using those tools. Best adoption ROI comes when your team spends 5+ hours weekly diagnosing conversion friction across client products.
3recommended
60/mo
$4,485/mo
Low
Illustrative scenario. Not a guarantee. Net capacity is the value of reclaimed time at $75/hr, less the lowest verified paid base plan (flat plan cost is shared). Hours saved come from the service estimate; implementation, taxes, and unprovided usage charges are excluded.
- Project Manager handling post-launch conversion analysis
- UX Researcher handling funnel leak diagnosis and prioritization
- Account Executive handling session replay review and bug reproduction
- Your agency focuses on brand, content, or creative services and does not run product optimization or UX research engagements; Rejourney's value is tied to conversion-funnel analysis and does not apply to non-product workflows.
- Your clients are B2B SaaS platforms with fewer than 500 monthly active users; Rejourney's leak-detection AI requires sufficient session volume to identify statistically meaningful patterns, and sparse traffic will produce noisy signals.
- Your team outsources all analytics and optimization work to clients or third-party specialists and does not own the diagnosis-to-fix workflow internally; Rejourney's payback depends on your team doing the analysis work it accelerates.
Internal Adoption Path
$15/mo
$15/mo flat plan
60 hr/mo
3 seats × 20 hr each
$4,500/mo
modeled at $75/hr labor rate
$4,485/mo
value − subscription cost
In this model, 3 seats reclaim 60 hours of team time each month. Valued at $75/hr that is $4,500/mo, and after the $15/mo subscription it leaves $4,485/mo of capacity for billable client work.
Illustrative scenario. Not a guarantee. Uses the lowest verified paid base plan. Implementation, taxes, and unprovided usage charges are excluded.
Platform Features
Core capabilities of Rejourney
AI-ranked leak detection
Rejourney surfaces conversion blockers ranked by estimated affected users and revenue impact, letting Project Managers and Strategists skip manual triage and focus on the highest-value fixes first. Each leak includes session-replay evidence and console-error context.
Session replay with dead-tap detection
Captures web and mobile user sessions and flags dead clicks, failed gestures, and abandoned interactions. UX Researchers and Designers use replays to diagnose why users drop off and provide developers with exact interaction evidence for reproduction.
Funnel and cohort drill-downs
Breaks down user journeys by step and cohort, letting Account Executives and Strategists isolate which segments or pages drive the most friction. Growth plan includes checkout, onboarding, and paywall-specific drill-downs.
Crash and API diagnostics
Monitors app stability and surfaces crash logs, error traces, and API failures alongside session context. Developers use this to correlate user-reported issues with backend errors without manual log aggregation.
Heatmap and interaction analytics
Visualizes where users click, scroll, and tap on pages and screens. Designers and UX Researchers use heatmaps to validate design assumptions and spot misaligned CTAs or navigation elements.
GitHub integration with suggested fixes
Rejourney's Marlin feature generates suggested GitHub fixes from replay evidence and console errors, reducing the handoff friction between analytics and development. Developers receive actionable code pointers rather than narrative bug reports.
What Makes Rejourney Different
Unique advantages vs similar tools in this niche
AI leak detection ranks issues by estimated revenue impact
vs Traditional analytics tools that only show metrics without prioritizationSignals are ranked by estimated affected users and revenue opportunity, e.g., 'Opportunity +$179'.
Generates suggested GitHub fixes from replay evidence
vs Manual debugging from session replaysProvides markdown context and code diffs to fix issues directly.
Lightweight pricing based on captured sessions only
vs Usage-based pricing that meters events, seats, and add-onsPublic plans include unlimited analytics events, DAU, and MAU.
Self-hosting option
vs Cloud-only analytics platformsCan be deployed with Docker or K3s to keep session data in your environment.
Latest Updates
Recent releases and improvements for Rejourney
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Release list
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iOS SDK v0.5.2
NewiOS SDK v0.5.2: see vendor changelog for full details.
React Native SDK v1.5.1
NewReact Native SDK v1.5.1: see vendor changelog for full details.
Value Equation
Outcome-likelihood-time-effort assessment for Rejourney
Limited agency channel
Rejourney scored below the agency-resellability threshold (agency_fit_score < 50). The Value Equation projects agency-side outcomes, which don't apply to tools without a clear resell pathway.
Contact RejourneyPricing
Rejourney platform cost to your agency
Growth: $15/mo
Free
- 5,000 session replays per month
- 7 days evidence retention
- Unlimited events, DAU, and MAU
- Standard funnel and cohort trends
Growth
- 100,000 session replays per month
- 30 days evidence retention
- Unlimited events, DAU, and MAU
- Checkout, onboarding, & paywall drill-downs
Enterprise
- Custom volume of monthly sessions
- Custom evidence retention history
- Unlimited events, DAU, and MAU
- Full suite of custom funnels & analytics
No verified white-label program for Rejourney: client-facing delivery runs under the platform's native branding.
Reality Check
Rejourney's leak-detection ranking requires sufficient session volume to surface patterns; agencies with very low-traffic client products may see sparse signals. The suggested GitHub fixes feature depends on clean error context and accessible repos, which not all client projects provide. Adoption payback assumes your team owns the analysis workflow rather than outsourcing it to clients.
Moderate effort: standard configuration with some customization needed
How This Accelerates White-Label Services
Who It's For
- ✓product-analytics-agencies
- ✓ux-research-agencies
- ✓e-commerce-optimization-agencies
- ✓saas-optimization-agencies
Acceleration Steps
- 1Create your account and complete setup wizard
- 2Configure capture and replay web and mobile user sessions
- 3Connect GitHub
- 4Launch your first client project
Academy for Rejourney
Work through it in order: the course for this service first, then the modules behind it.
Course for this service
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 courseNo Academy modules are published for this service yet. Browse the full Academy
Why this category matters
The commercial case before the tooling.
Core concepts
The mental model you need to price and scope the work.
- Reconciliation Before AutomationConcept
Reconciliation Before Automation is a framework for agencies evaluating analytics and reporting platforms. It posits that the primary value of these tools is not dashboard aesthetics or automation speed, but the accuracy of the underlying data reconciliation. Agencies often adopt platforms to save time, yet if the platform's source coverage or data freshness produces numbers that don't match the client's internal records, the time saved is negated by credibility damage. For example, a client running display ads may see platform-reported ROAS that conflicts with backend order data, as noted in recent research. Agencies should benchmark their current reporting process, identify reconciliation gaps, and only then select a platform that demonstrably closes those gaps. The framework emphasizes that recovered capacity should be invested in analysis and proactive recommendations, not just faster report generation.
- Narrative Control RatioConcept
The Narrative Control Ratio measures how much of a reporting tool's output is shaped by the agency's own commentary versus raw platform data. In an era where clients increasingly question reported numbers, agencies that simply hand over dashboards lose the ability to frame performance. The ratio is the share of report content that is narrative, insight, or recommendation, divided by the share that is automated data visualization. A high ratio means the agency controls the story; a low ratio means the tool does. For example, a PPC report that shows a pipeline number finance will not accept is a liability, not a deliverable. Agencies should benchmark their current reporting process, then use recovered capacity for proactive analysis, not just dashboard access.
- Attribution Gap VisibilityConcept
Attribution Gap Visibility is a framework for assessing how accurately an agency's reporting reflects true client performance. The gap is the difference between what platforms claim (e.g., ROAS from ad networks) and what backend systems confirm (e.g., CRM revenue or order data). When this gap is hidden, agencies risk presenting misleading numbers that clients or finance teams eventually question, eroding trust and threatening retainers. The framework urges agencies to quantify this gap before adopting new reporting tools, because dashboards that merely repackage platform data can amplify inaccuracies. For example, a recent analysis found that 74% of small businesses run display ads, yet platform-reported ROAS often misleads due to attribution flaws. Agencies that proactively reconcile platform data with backend records can turn reporting into a strategic asset, using recovered time for analysis and recommendations rather than just dashboard delivery.
Decision and risk
How to judge the fit, and the ways it goes wrong.
- Analytics & Reporting Rule: Reconcile Before You ReportEvaluation Rule
Benchmark your current reporting process and reconcile platform data against backend records before adopting any analytics tool.
- When Attribution Numbers Fail Finance, Audit Before Automating ReportsEvaluation Rule
Audit your attribution and data reconciliation process before you invest in any new dashboard or reporting platform.
- The Dashboard-as-Deliverable Trap: Why Analytics Reporting Stalls Agency ValueFailure Pattern
- The Attribution Confidence Gap: When Client Reports Cite Numbers Finance Won't AcceptFailure Pattern
8 modules selected for Rejourney
Frequently Asked Questions
Answers about pricing, setup, implementation, and more
Rejourney captures and replays web and mobile user sessions, then uses AI to detect conversion leaks and rank them by estimated revenue impact. It provides session-replay evidence with console errors and dead-tap detection, plus heatmaps, funnel drill-downs, and crash diagnostics. The platform integrates with GitHub, PostHog, Sentry, and Datadog to surface suggested fixes and correlate user behavior with backend errors.
Rejourney charges per workspace, not per seat. Growth plan is $15 USD per month and includes 100,000 session replays per month, 30-day evidence retention, crash and API diagnostics, and priority support. Enterprise plans are custom-priced and require contacting sales. A Free plan is available with 5,000 session replays per month and 7-day retention.
Project Managers use Rejourney to triage conversion leaks and prioritize fixes by revenue impact. UX Researchers and Designers rely on session replays and heatmaps to diagnose user friction and validate design changes. Account Executives use funnel drill-downs and leak summaries to brief clients on post-launch performance. Developers benefit from crash diagnostics and suggested GitHub fixes, which reduce the time spent reproducing issues from narrative bug reports.
Conservative estimate is 4 to 8 hours per week per seat, depending on engagement volume. Project Managers save 2 to 3 hours on leak triage and prioritization. UX Researchers save 1 to 2 hours on manual session review. Account Executives save 1 to 2 hours on post-launch reporting. Savings scale with the number of client products your team analyzes and the frequency of optimization cycles.
Rejourney integrates with GitHub, PostHog, Sentry, Datadog, Amplitude, Mixpanel, Pendo, Fullstory, Smartlark, and Hotjar. These integrations let you pipe session and crash data into existing monitoring and analytics workflows without manual export or context-switching.
Initial setup is low-friction: add the Rejourney SDK to client products and configure Smart Capture rules for session recording. Most teams are capturing data within a few hours. Adoption friction comes from building team habits around reviewing leak signals weekly and using replay evidence in bug reports; expect 2 to 3 weeks for workflows to stabilize.