Segmentation & Audiences
Behavioural, demographic and technographic conditions, nested any way, evaluated live, with reachable counts before you launch.
Understand
The full report suite, from multi-step funnels and cohort grids to RFM, live activity and shared dashboards.
2,430 people dropped between product_added and checkout_started.
Overview
Reports run directly on the event store, so the number in a funnel and the number in a campaign are the same number. Every report is saved as a definition, never a stored result, which means a change in the data is visible the moment it happens and any report becomes an audience in one click.
Only on Edverix
Everyone who dropped off at step three becomes a live, refreshing segment you can message immediately.
Not just that checkout starts fell, but that they fell only on Android 14, only since the 3.2 release.
Capabilities
19 capabilities in 4 groups, organised the way the product is.
Up to eight steps, four events per step, per-event property filters and a conversion window counted from the first step.
Break every step down by platform, app version, event property or user trait.
Follow one order or product id through every step instead of matching any event, so multi-item funnels stop lying.
Median and average time between each pair of steps.
Everyone who dropped off at step three becomes a live, refreshing segment you can message immediately.
Up to five series per chart with totals, uniques, average per user, property aggregates and active percentage.
Day, week or month cohorts, heat-shaded, so the retention cliff is visible rather than inferred.
Sankey paths forward from an event and backward into it, so you can ask what happens before churn.
Recency, frequency and monetary scores bucketed into named segments, with movement between buckets over time.
Multi-dimensional pivots and formula metrics built from arithmetic over your own measures.
Daily, weekly and monthly actives, DAU over MAU, new versus returning, by geography, device and version.
Duration and depth distributions, activity patterns and a per-session event list.
Revenue per user, by segment, cohort and acquisition source. The numbers a board deck is built from.
Net installs, uninstall rate, by platform and acquisition source, with the campaign that preceded the uninstall.
Active sessions, last-thirty-minute activity and top events right now, refreshing in place.
Pin any chart; board-level date and segment filters cascade to every tile.
Daily, weekly or monthly snapshots to subscribers, as a link or CSV.
Alert on Slack, email or webhook when an event count or conversion rate crosses a bound.
Not just that checkout starts fell, but that they fell only on Android 14, only since the 3.2 release.
FAQ
Each analysis compiles to a single statement using indexes on project, event name and time, with a per-query timeout so a heavy report never affects ingestion.
No. A report is a saved definition evaluated on demand, so it reflects the data as of now. Scheduled emails render at send time.
Yes. Every report is a form, every filter offers real values from the catalog, and you can describe a report in plain language and get a chart to edit.
Get started
Send your first event in an hour, simulate your first journey against real history, and keep every byte of it in a database you can query.