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Optimization Suite

Test, allocate, learn. Autonomously.

Forget fixed 50/50 splits and weeks of waiting. Foundry uses Thompson Sampling to shift traffic toward winners in real time, plus a persistent holdback for clean lift measurement. The result: results faster, ad budget intact.

Foundry's experimentation dashboard showing Thompson Sampling traffic allocation

Thompson Sampling, not 50/50

From the first visitor, traffic flows toward the variant most likely to convert. Losers shrink. Winners scale. No predetermined sample size required.

Holdback for clean proof

A small persistent holdback sees the unoptimized control. Lift is measured against that group, in real time. Causal proof. Not before/after correlation.

Strategy-level, not single-element

Variants are coordinated strategies (headline, subhead, CTA, social proof together), not isolated swaps. Coherent variants beat single-element experiments.

How it works

From hypothesis to compounding wins.

01

Generate strategies

AI generates coordinated variants per campaign and audience, informed by ad context, brand voice, and customer language. Human approves before they go live.

02

Allocate dynamically

Thompson Sampling routes more traffic to winners as evidence accumulates. Cycle reaches a decision with 50 to 75% fewer visitors than traditional A/B.

03

Prune and regenerate

Losers don't just stop running. Their failure context feeds the next generation of variants. Each cycle is smarter than the last.

−75%
Visitors needed vs. traditional A/B (Google research)
Real-time
Traffic allocation as evidence builds
Compounds
Every cycle informs the next

Related capabilities

Stop sending half your traffic to the loser.

Thompson Sampling. Holdback testing. No CRO specialist required.