TestDrive ‑ Pricing Optimizer

Develop by Shopify

$49-$199

/ Month

7 Days Free Trial

Optimize product pricing with seamless A/B tests for better sales insights.

Powerful insights

Bulk product testing

A/b price testing

About TestDrive ‑ Pricing Optimizer

Launched Sep 08, 2025

Built by Shopify

Address

2202 Hawkins St., Charlotte, NC, 28203, US

Website Support Portal Privacy policy Tutorial FAQ Document

Claim Offer

Z Sticky Add To Cart Button

Claim Offer

Sponsored

Keep "Add to Cart" visible, boost conversions. No coding...

Description

Test prices, drive revenue. Use data backed A/B testing to grow revenue & profits.

TestDrive unlocks data-driven pricing optimization. Test different product prices seamlessly with real customers. Find the best performing prices quickly, with no guesswork! Run tests on a single product, or thousands of items at once. No complex setup required. A/B price testing answers the difficult questions: How much would sales change if we increase prices? What level of discount gets the best sales results? Our easy results dashboard has the answers!

Price Optimization - Put live customer traffic into A/B price tests
More than A/B - Test up to 5 prices per product simultaneously
Bulk Testing - Test a single product, collections, even your entire store!
Powerful Insights - Our results dashboard makes it easy to see winning prices
Simple Setup - Start your first price test in minutes, no coding required

Pros

Data-driven approach to pricing optimization.
Seamless setup for testing different product prices.
Ability to test a single product or thousands of items at once.
Simple and quick setup with no coding required.
User-friendly dashboard for clear insights on price performance.
Supports testing up to 5 prices per product simultaneously.
Allows for bulk testing across collections or entire store.

Cons

Might require a significant amount of customer data to generate meaningful insights.
Potential for customer confusion if prices fluctuate frequently during testing.
Limited to users who are familiar with A/B testing concepts.
Effectiveness depends on traffic volume — lower traffic stores may not see significant results quickly.