Two variants, weeks of waiting
You ship one challenger against control, split traffic 50/50, and sit on it until the math clears. On most sites that is weeks per test, and most pages never have the traffic to clear it at all.
Rapid Experimentation Suite
Testing that never sleeps.
Classic A/B testing makes your website wait weeks to learn one thing about two options. Continuous experimentation generates dozens of on-brand variants, sends visitors to whatever is winning in real time, and keeps improving every page while you sleep.
Rapid experimentation suite
It tests everything, at AI speed and scale.
Always on. It writes on-brand versions of your copy, images, layout and offers, learns from how real visitors behave, and sends traffic to the winner. Only from changes you approved.
Why classic A/B testing stalls
The old way spends weeks, and most of your traffic, to learn almost nothing
You pay for every loser
Half your visitors keep seeing the weaker page for the whole test. Those are conversions you chose to give away, and the longer it runs the more you give away.
Most tests tell you nothing
Results drift between “looks promising” and “still inconclusive,” so you call it early on a hunch or lose another month. Roughly one test in seven produces a clear winner.
The winner is already old
By the time a slow test resolves, the season, your traffic mix, or the offer has shifted. You ship a page that won last quarter into this quarter's visitors.
What adaptive testing does instead
Generate many variants, route traffic to the winner, and never stop
Many variants, generated for you
Instead of one hand-built challenger, Farcasts produces dozens of on-brand headlines, hero framings, proof points, and CTAs for a page, all in your voice, all yours to approve before they go live.
Traffic follows the winner
An adaptive allocator steers visitors toward whatever is converting best right now and keeps a sliver exploring the rest. You stop paying the loser tax the moment a leader emerges, not weeks later.
It never stops improving
Winners get promoted, weak variants get pruned, and fresh challengers are generated against the current leader. Optimization runs as a loop, so pages adapt to seasons and demand instead of freezing on one old answer.
One site, many visitors
The same engine optimizes per cohort, by source, device, location, and new versus returning, so each visitor meets the page that converts them, with no extra CRO headcount.
Conversion is not won with one heroic test a quarter. It is won by never stopping.
Test more ideas, on more pages, for more kinds of visitor, and never spend traffic on a variant you already know is losing. Small lifts compound across every page and every cohort, the gains land in weeks instead of quarters, and your website gets sharper every day it is live.