Eppo proves significance.
Xi proves the verdict.
Eppo is the modern experimentation platform built for product teams that take statistics seriously: warehouse-native, sequential testing, CUPED variance reduction, per-experiment power analysis. Xi makes a different bet — that for most marketing experiments, a kill threshold set up front beats chasing p-values on small N.
Why teams switch from Eppo to Xi
Eppo is excellent at statistical rigor — and that is exactly what marketing experiments often do not need. A pricing change, an outbound test, a content cadence — these run on small N where chasing significance is the wrong frame. Xi makes the contract the decision rule: write what you would kill, what you would ship, when you would decide. The math does not have to do the work.
- Contract over significance. Pre-commit a threshold; the rules decide. Sequential testing, CUPED, and confidence intervals are valuable on product traffic — not on a 4-week paid test with a few hundred conversions.
- No data warehouse required. Eppo plugs into Snowflake, BigQuery, or Redshift and metrics live there. Xi works with the metric you already track, however you track it.
- A free plan that does not expire. Unlimited experiments, unlimited archive, no card. Eppo is sales-led with no public free tier.
- The agent runs it. MCP-native, so Claude can commit, log, and decide experiments. Eppo has APIs but no native MCP today.
If you have product traffic and a data team, Eppo is the right call. If you have marketing experiments and small N, switch.
Πού πραγματικά διαφέρουν τα δύο εργαλεία.
Πότε κάθε εργαλείο είναι η σωστή επιλογή.
- You have a data team and a warehouse with clean event data.
- You run high-traffic product experiments where statistical rigor is the unblock.
- You need sequential testing, variance reduction, and per-experiment power analysis.
- Your experiments are tied to features deployed in the codebase.
- Your experiments run on small N where chasing significance is the wrong frame.
- You do not have a data warehouse, or your metrics live outside it.
- You want a contract per experiment and a verdict at the end.
- You want the agent to commit and decide experiments via MCP.
Συχνές ερωτήσεις, σύντομες απαντήσεις.
How is Xi different from warehouse-native experimentation tools?
Different unit of work and different decision rule. Warehouse-native tools optimize statistical analysis on product traffic. Xi captures contracts that decide marketing experiments by pre-committed thresholds, regardless of N.
Can I use Xi alongside Eppo?
Yes. Use Eppo for warehouse-native product experiments where statistical rigor is the unblock. Use Xi for marketing experiments and the cross-channel contract archive.
Does Xi do CUPED or sequential testing?
No, intentionally. Marketing experiments rarely have the N or homogeneity for variance reduction to help. The contract is the discipline: pre-commit a threshold, let the rules decide.
Do I need a data warehouse?
No. Xi works with whatever metric source you already trust.
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Δωρεάν πλάνο, απεριόριστο αρχείο, χωρίς κάρτα. Δες το σε Claude / Cursor / Codex σε 30 δευτερόλεπτα.