Funnel replay evidence for the paths where users branch, loop, or drop

Funnel paths are easier to fix when the replay stays attached

Most funnel charts flatten the path into a few steps. Real users branch, loop, backtrack, skip, and stall. Rejourney's journey ribbons show those paths with enough weight to reveal which flows carry users forward and which ones leak.

The important part is that the ribbon is not just a picture. A product team can use the path to open matching sessions, compare healthy and degraded journeys, and hand engineering the replay evidence behind the drop.

That makes funnel repair less like debating a dashboard and more like reviewing the exact path users took before intent disappeared.

Start from the question the team needs to answer

Replay is most useful when it is tied to a specific product or support question: why a flow dropped, why a user got stuck, why a release created tickets, or why a screen behaved differently in production than it did in QA.

For developers, the implementation goal is to make that session searchable and explainable later. Capture the route or screen, release version, platform, product events, and the technical signals that explain what happened around the visual session.

• Route or screen name
• SDK and app version
• Key product events
• Failed requests, console logs, crashes, or ANRs

Use the replay to find the pattern behind the clip

A single recording can show the first clue, but it should not become the whole argument. After watching the session, filter for similar routes, devices, versions, failed requests, or journeys to see whether the behavior repeats.

The productive loop is to move between the individual session and the aggregate views. Replay explains the moment; journeys, heatmaps, events, and stability views show whether that moment deserves engineering time.

Keep capture boring, private, and reliable

Treat replay instrumentation like production telemetry. Mask sensitive fields by default, verify the SDK does not capture private content, and roll the integration out first on a flow where the team can quickly validate data quality.

Once the basics are trustworthy, expand coverage intentionally. Good replay data is consistent enough that a ticket, release review, or bug report can point to a session and everyone can inspect the same facts.

Implementation notes

These are the checks another engineer should be able to use before trusting the feature in production.

• Name routes, screens, and important states clearly enough that another engineer can search for them later.
• Attach release, app version, browser, OS, and device context before relying on replay for triage.
• Mask private UI by default, then explicitly allow only the surfaces the team needs.
• Verify one successful and one failed session for the target flow before calling the integration ready.

When to use a lighter signal

• Your flow is linear and a step-count chart answers the full question.
• You do not need to inspect sessions from a specific path before prioritizing work.
• Your team already ties funnel paths to replay samples and issue context elsewhere.

Questions teams usually ask

Related reading

• Pricing: See Rejourney's fixed-price plans and included platform limits.
• Live demo: Open the demo dashboard and inspect the replay, heatmap, journey, and stability views.
• React Native SDK: Install mobile session replay for React Native and Expo apps.
• Web SDK: Add browser session replay, analytics, and network capture to a web app.