Four ways to understand your customer journey, all run directly against your warehouse, plus real-time alerts on any of them.
Mockups of the interface, not a finished product yet, this is what we're building toward with our design partners. Every number below is illustrative.
Your key metrics and funnel, pulled live from your warehouse every time the page opens. Nothing here is a nightly snapshot.
Every rule shows exactly what it's watching and where it sends a message, so you can tell at a glance whether it's still worth having on.
| Metric | Condition | Channel | Status | Last triggered |
|---|---|---|---|---|
| Activation rate | drops >10% vs 7d | Slack | On | 2 hours ago |
| Checkout conversion | drops >15% vs 1h | Slack, Webhook | On | 3 days ago |
| Weekly signups | drops >20% vs 4wk avg | On | Never | |
| API error rate | above 2% | Webhook | Off | 12 days ago |
| Trial-to-paid rate | drops >8% vs 30d | On | 6 hours ago |
If a number looks off, you shouldn't have to trust it blindly. Every chart in EngineFresh can show you the exact SQL that produced it, running against your own tables.
EngineFresh is meant to be used directly by the person who wants the answer, not filed as a ticket to a data team.
Build a funnel or a journey map on the events your engineering team already logs, without waiting on a data request. Get alerted the moment a release changes how people move through the product.
Compare cohort retention by acquisition source, not just conversion rate. Set a threshold on activation rate and know the moment a campaign's traffic quality drops, not next week when someone checks a spreadsheet.
You don't have a data team yet, and you don't want to build one just to answer that question. Point EngineFresh at your warehouse and get funnels, retention, and alerts without standing up infrastructure first.
Every view below is a live query against your BigQuery or Databricks warehouse, using events and tables you already have.
See where people drop off between any two steps, from first visit to conversion.
How many people come back, week over week, after they first sign up.
Compare retention across signup weeks to see whether it's improving over time.
| Cohort | W0 | W1 | W2 | W3 | W4 |
|---|---|---|---|---|---|
| Jun 1 | 100 | 52 | 41 | 35 | 31 |
| Jun 8 | 100 | 55 | 43 | 37 | |
| Jun 15 | 100 | 49 | 38 | ||
| Jun 22 | 100 | 58 |
See the different paths people take from entry point to outcome, and how big each path is.
Funnels, retention, cohorts, or a custom metric of your own, all of it can be watched continuously and routed the moment something crosses a line you set.
Any query against your warehouse: a conversion rate, a funnel step, or a custom SQL metric.
An absolute value, a percent change, or a comparison to a prior period.
Continuous checks against your warehouse, on the schedule you choose.
The moment a threshold is crossed, routed wherever your team already works.
Dashboards and charts run a query against your warehouse each time you load them, or on a schedule for alerts.
We store your saved dashboards, metric definitions, and alert rules. Not the underlying event data.
Query results are cached briefly to keep things fast, and expire automatically. Nothing is kept beyond that.
If you want to see EngineFresh in action before connecting a real warehouse, here are a few ways to do that.
Free, with no credit card or billing account required: 10 GB of storage and 1 TB of query processing a month, with data expiring automatically after 60 days. Load a sample dataset and point EngineFresh at it.
The successor to Community Edition, free for personal use and preloaded with sample datasets. Compute is capped to smaller sizes, which is plenty for trying out a few dashboards.
As part of early access onboarding, we can set you up with a demo workspace using sample e-commerce and SaaS event data, so you can click around before connecting anything of your own.
None of these require a production warehouse. Request early access and we'll help you pick whichever fits.
Request early access and we'll help you connect your warehouse.
Request early access