Mixpanel

What it is

Mixpanel is a product analytics tool built around events and funnels, and Spark is its AI query layer: you ask a question in plain language and it builds the report — funnel, retention, breakdown — for you. It’s the direct competitor to Amplitude’s AI, with a similar promise for PMs: skip the manual chart-building and just ask. The free tier includes a monthly allotment of Spark AI queries so you can try the conversational path without a contract.

Our verdict

For teams already on Mixpanel, Spark is a real time-saver on the routine “what’s the number” questions that used to mean fiddling with the report builder. Pricing is refreshingly transparent for this category — the usage-based Growth rate ($0.28 per 1,000 events) is published, so you can actually forecast cost, which is rare here.

Where it falls short: the free Spark allowance (30 queries/month) is genuinely small — you’ll burn through it in a single afternoon of exploration and then be back to building reports by hand or upgrading. And as with every AI-on-analytics layer, Spark inherits your instrumentation’s sins: sloppy event naming produces a clean-looking, wrong answer, and it won’t warn you.

Get value in 10 minutes

1. In a Mixpanel project with live events, open Spark.
2. Ask: “What’s my 4-week retention for users who signed up in the last two months, as a curve?”
3. Verify it chose the right signup event and retention definition before you screenshot anything.
4. Spend a follow-up query wisely (the free cap is tight): “Which single event in week 1 most separates retained from churned users?” — then instrument or double-down on whatever it surfaces.