Why traditional A/B testing fails
Every test breaks your ads.
Then you wonder why your CPMs spike right after launching a winner.
Split Testing
Server-side rotation means Facebook, Google, and TikTok never know you are testing. Campaigns keep their learning. Optimization never resets.
Why traditional A/B testing fails
Then you wonder why your CPMs spike right after launching a winner.
Send traffic to /v2 and Facebook re-learns from zero. 48, 72 hours of optimization lost. CPMs spike 30, 60% while the algorithm relearns your audience.
Client-side redirects break attribution. Cloaked tests trigger policy reviews. Postbacks fire on the wrong URL and your network thinks the conversion is fake.
Inconsistent traffic splits. No statistical significance. You promote losers because you ran out of patience or budget mid-test.
How it works
EF picks the variant before the page is served. The browser only ever sees one URL.
Duplicate any page. Edit headlines, layouts, offers, anything. Tag each variant with a name. Hit ship.
Sticky session per visitor. Even traffic split (or weighted). No client-side flicker. No cloaking flags. No URL changes.
Significance shown in real-time. One click promotes a winner to 100% of traffic. Losers stay archived for next iteration.
Test anything
Test what actually moves the needle, not just button colors.
Built-in intelligence
No more guessing if your test is "done." EF tells you when a winner is statistically significant, and which metric won.
Confidence intervals for CR, CTR, AOV, EPC
Sample-size calculator before you launch
Sequential testing, stop early when winners are clear
Per-source significance (Facebook vs Google vs TikTok)
Export to CSV for deeper analysis
Ready to Test
Same URL. Unlimited variants. Statistical significance built in. Free to start.