Product
Follow the person behind the conversion.
Explore customer sessions, events and conversions in DATALYR to understand the recorded path from acquisition to payment. Connect an aggregate campaign question to the individual activity behind it.
Compare plans and usage
Totals tell you where to look. Journeys help explain why.
A channel report can reveal a change in conversion rate without showing what happened between arrival and purchase. Customer timelines let your team inspect the sequence of recorded interactions, identify missing steps and understand the routes buyers actually took. This is especially useful when a browser session, logged-in account and payment source must be connected.
In DATALYR
Customer journey analytics
Read the sequence
Review the order of captured sessions and events. Separate a returning visit from a first encounter before interpreting the last interaction as the whole acquisition story.
Inspect identity joins
Use a known customer record to check that activity is associated correctly. Identity quality is a measurable implementation concern, not a guarantee that every device can be joined.
Connect activity to outcomes
Compare the events preceding a purchase or subscription with those of an incomplete journey. Use specific observations to choose which funnel question to investigate next.
The workflow
From setup to a useful answer.
Start with a concrete question
Choose a conversion, support issue or campaign change to investigate. A narrow question makes the timeline more useful than browsing unrelated events without a decision in mind.
Open a known customer
Find the relevant person and inspect available sessions and conversions. Confirm timestamps and identifiers, especially if the journey crosses a website and external checkout.
Compare a few representative paths
Look at buyers and non-buyers from the same acquisition context. Treat the sample as investigative evidence and validate broader conclusions in a cohort or funnel report.
Verify the result
Know what good looks like.
- The inspected person is the expected customer.
- Important journey steps have clear event names and timestamps.
- Any missing or disconnected step is documented before analysis.
Go deeper
Use the guide for context, then follow the implementation reference for your setup.
A few practical questions.
Is this a complete record of everything a customer did?
No. The timeline reflects data captured by connected sources and successfully associated with the customer. It cannot reconstruct activity that was never collected.
How is this different from attribution?
Journey analytics examines the sequence of activity. Attribution applies a credit-allocation model to eligible touchpoints. Use the journey to understand and validate the data behind the model.
Explore related workflows.
- Web app funnel analytics ↗
Connect acquisition, signup, activation and payment events in DATALYR to analyze a web app funnel.
- Session replay for conversion analysis ↗
Use DATALYR session replay to investigate recorded website interactions alongside your conversion analysis.
- Multi-touch attribution software ↗
Compare first-touch, last-touch, linear and time-decay attribution in DATALYR, using an explicit lookback window and recorded customer touchpoints.