Atchoo ‑ Template Testing

Develop by Shopify

$9.99-$39

/ Month

Free plan available 14 Days Free Trial

A/B test Shopify templates to boost Add to Cart conversions.

Real-time tracking

Template optimization

Easy a/b testing

About Atchoo ‑ Template Testing

Launched Jul 28, 2025

Built by Shopify

Address

Kastani 42, Tartu, 50410, EE

Website Support Portal Privacy policy Tutorial FAQ Document

Claim Offer

Zotabox Social Sharing Buttons

(150 Reviews)

Claim Offer

Sponsored

Social Media Icons and Buttons. Increase Your Social Shares...

Description

Run template tests and track Add to Cart performance to optimise your product pages

Commerce starts with Add to Cart. Atchoo helps you easily A/B test different Shopify product page templates to see which ones drive shoppers to take that crucial first step. Track ATC performance in real time, run easy A/B tests, and optimise your templates without code or disruption to your store. Make confident, data-backed decisions about what drives action - because effective product pages start with clear signals.

Track Add to Cart performance in real time to see what drives shopper action
Run A/B tests on Shopify product templates - no coding or dev work required
Optimise your product page layouts using clear, conversion-focused insights

Pros

Enables A/B testing of Shopify templates, which can help boost Add to Cart conversions.
Allows for real-time tracking of Add to Cart performance, providing immediate insights.
No coding or development work required, making it accessible for non-technical users.
Empowers users to make data-driven decisions based on conversion-focused insights.
Does not disrupt the store during template optimization.

Cons

Limited to testing only Shopify product page templates, may not cover other parts of the store.
Relies on continuous monitoring; may require active management to analyze and implement findings.
Potential lack of advanced testing features that some users might require, such as multivariate testing.
May have a learning curve for users unfamiliar with A/B testing concepts.