We simulate how humans interact with digital experiences.

Synthetic customers browse, hesitate, and buy just like yours do. Every change gets a verdict before real shoppers see it: the lift, the friction, and why.

Watch a simulation

First Shopify-approved app for synthetic A/B testing

Trusted by teams turning site ideas into conversion decisions.

How it works

From idea to decision in under an hour.

Bring a site change. Squoosh tests each option, ranks the likely winner, and shows what to fix before real shoppers see it.

01Model your shoppersModel the buyer segments that matter using behavioral data, funnel signals, and your site context.

Maya

Robert

Priya

Dana

Elena

Jordan

Sana

Tomás

Anika

Kenji

Leah

Carlos

0shopper journeys ready

02Compare pages, not audiences.Each version is shown to the same synthetic shopper panel, so you can see whether the page change helped or hurt.

Current Site

Buy Now

Now testing

Robert“compare brands”

0 / 1,8200%

conversions

2.42%

conversion rate

Urgency

Get it today

Now testing

Priya“price sensitive”

0 / 2,1400%

conversions

3.55%

conversion rate

Reviews

Join 40K+

Now testing

Dana“read reviews”

0 / 1,6400%

conversions

2.71%

conversion rate

03Rank & decideSee the likely lift, the confidence behind it, and the reason shoppers chose or dropped. Use the strongest version or keep iterating before customers see it.

Conversion Rate

+0.00%

Revenue / Visitor

+0.00%

Bounce Rate

-0.00%

85%

matched live A/B winners

<1 hr

from hypothesis to decision

250M+

behavioral signals grounding shoppers

live visitors exposed

The benchmark

We checked our work against real A/B test winners.

Benchmarked against completed live A/B tests across ecommerce, SaaS, and fintech flows, including product pages, checkout, pricing, onboarding, and landing pages. Then we compared Squoosh’s predicted winner to the live result.

✓Completed tests only: known live winners, not synthetic-only benchmarks.
✓Blind prediction: Squoosh picked a winner before seeing the live result.
✓Controlled comparison: each variant was evaluated under the same modeled buyer conditions.
✓Pre-traffic decision: use the result to decide what deserves live traffic.

Prediction accuracy

Squoosh matched the live winner in 85% of completed A/B tests.

How we comparewinner accuracy

Squoosh85%

Gemini 2.5 Pro56%

GPT-553%

Gemini 2.5 Flash51%

Winner accuracy in a live confirmation test.

Full evaluation report available on request.

From a customer using Squoosh weekly

“Nothing short of revolutionary.”

Charlotte Welean

Head of CRO, Credo Agency

Integrations

Purpose-built on your data, not a generic persona.

Squoosh uses your analytics, order history, session behavior, and segment data to model how your actual shoppers move through the funnel: where they hesitate, what they trust, and why they drop.

Pull data from

Shopify

order history · cart composition

Google Analytics 4

funnel paths · drop-off events

Fullstory

hesitation patterns · rage clicks

Segment

segment definitions · user traits

Contentsquare

scroll depth · zone engagement

Your synthetic shopper

Priya Shah

Modeled buyer segment Returning mobile buyer · modeled from 4,318 similar shopper sessions

#SH-04318

Behavior signals

Avg. cart $42 · 2.3 itemsShopify

Drops at shipping stepGA4

Hovers on promo code fieldFullstory

Returning mobile buyerSegment

Scrolls past hero, skims PDPContentsquare

Send the winner to your testing workflow

Squoosh shows which variant deserves live traffic. Send it to your team, your storefront workflow, or your A/B testing stack.

Route to

VercelCloudflareLaunchDarklyGitHubWebhook

Or send to your experimentation stack for live confirmation

OptimizelyVWOAdobe TargetAB Tasty

Decide before real shoppers drop off.

Bring a site change. Squoosh will run it past synthetic shoppers and show which version is most likely to convert in under an hour.

We simulate how humans interact with digital experiences.

Synthetic customers browse, hesitate, and buy just like yours do. Every change gets a verdict before real shoppers see it: the lift, the friction, and why.

Watch a simulation

First Shopify-approved app for synthetic A/B testing

Trusted by teams turning site ideas into conversion decisions.

How it works

From idea to decision in under an hour.

Bring a site change. Squoosh tests each option, ranks the likely winner, and shows what to fix before real shoppers see it.

01Model your shoppersModel the buyer segments that matter using behavioral data, funnel signals, and your site context.

Maya

Robert

Priya

Dana

Elena

Jordan

Sana

Tomás

Anika

Kenji

Leah

Carlos

0shopper journeys ready

02Compare pages, not audiences.Each version is shown to the same synthetic shopper panel, so you can see whether the page change helped or hurt.

Current Site

Buy Now

Now testing

Robert“compare brands”

0 / 1,8200%

conversions

2.42%

conversion rate

Urgency

Get it today

Now testing

Priya“price sensitive”

0 / 2,1400%

conversions

3.55%

conversion rate

Reviews

Join 40K+

Now testing

Dana“read reviews”

0 / 1,6400%

conversions

2.71%

conversion rate

03Rank & decideSee the likely lift, the confidence behind it, and the reason shoppers chose or dropped. Use the strongest version or keep iterating before customers see it.

Conversion Rate

+0.00%

Revenue / Visitor

+0.00%

Bounce Rate

-0.00%

85%

matched live A/B winners

<1 hr

from hypothesis to decision

250M+

behavioral signals grounding shoppers

live visitors exposed

The benchmark

We checked our work against real A/B test winners.

✓Completed tests only: known live winners, not synthetic-only benchmarks.
✓Blind prediction: Squoosh picked a winner before seeing the live result.
✓Controlled comparison: each variant was evaluated under the same modeled buyer conditions.
✓Pre-traffic decision: use the result to decide what deserves live traffic.

Prediction accuracy

Squoosh matched the live winner in 85% of completed A/B tests.

How we comparewinner accuracy

Squoosh85%

Gemini 2.5 Pro56%

GPT-553%

Gemini 2.5 Flash51%

Winner accuracy in a live confirmation test.

Full evaluation report available on request.

From a customer using Squoosh weekly

“Nothing short of revolutionary.”

Charlotte Welean

Head of CRO, Credo Agency

Integrations

Purpose-built on your data, not a generic persona.

Squoosh uses your analytics, order history, session behavior, and segment data to model how your actual shoppers move through the funnel: where they hesitate, what they trust, and why they drop.

Pull data from

Shopify

order history · cart composition

Google Analytics 4

funnel paths · drop-off events

Fullstory

hesitation patterns · rage clicks

Segment

segment definitions · user traits

Contentsquare

scroll depth · zone engagement

Your synthetic shopper

Priya Shah

Modeled buyer segment Returning mobile buyer · modeled from 4,318 similar shopper sessions

#SH-04318

Behavior signals

Avg. cart $42 · 2.3 itemsShopify

Drops at shipping stepGA4

Hovers on promo code fieldFullstory

Returning mobile buyerSegment

Scrolls past hero, skims PDPContentsquare

Send the winner to your testing workflow

Squoosh shows which variant deserves live traffic. Send it to your team, your storefront workflow, or your A/B testing stack.

Route to

VercelCloudflareLaunchDarklyGitHubWebhook

Or send to your experimentation stack for live confirmation

OptimizelyVWOAdobe TargetAB Tasty

Decide before real shoppers drop off.

Bring a site change. Squoosh will run it past synthetic shoppers and show which version is most likely to convert in under an hour.