Price Testing Without The Baggage
Stop guessing on your biggest revenue lever
Your suppliers raised prices again. Shipping costs spiked. Competitors dropped theirs. Instead of absorbing margin hits or guessing on price increases, test to find out exactly what customers will pay. Price testing turns external shocks into opportunities to optimize margin, not just survive them.
Raising prices feels like playing Russian roulette with your conversion rate. Price testing removes the gamble—validate any price change on a portion of traffic before rolling it out store-wide. Whether it's a $2 bump or a full repositioning, you'll know the impact before it touches your bottom line.
Launch pricing sets the stage for everything: margin expectations, perceived value, competitive positioning. Too low and you're leaving money on the table for months. Too high and you're fighting an uphill battle. Test multiple price points during launch to discover where demand and margin intersect, so your first price isn't a coin flip.
Native price testing that actually works
Designed for Plus workflows
Measurement built for accuracy
Test at enterprise scale
Built for your stack
Everything you need
to test prices confidently
Targeted rollouts by product and collection
Test prices on specific products, collections, or catalog subsets. Beauty brands can focus on high-margin SKUs. Apparel brands can target bestsellers. Start small, scale what works.
Stable through theme changes
Statistical rigor without the complexity
One experimentation hub
Enterprise-ready performance
From setup to insights in minutes
Choose specific products, collections, or catalog segments. Target your highest-volume SKUs or your newest launches. You control the scope.
Set adjustments by amount or percentage. Test small increments or bold repositioning. You decide how aggressive to be and what success looks like.
Deploy tests in minutes without disrupting operations. Track performance across conversion, revenue, and customer segments.
See statistical significance, confidence intervals, and behavioral patterns. Understand not just which variant won, but why customers responded.
Push winning prices live across your catalog with one click. Lock in margin improvements and move to your next test.
Why theme-level beats browser-level hacks
as your storefront evolves
With Shoplift, I'm able to launch tests within minutes. It’s so easy to get started, even for non-experts. And the detailed analytics really help me understand what’s working, and what isn’t.
at the theme level
With Shoplift, I'm able to launch tests within minutes. It’s so easy to get started, even for non-experts. And the detailed analytics really help me understand what’s working, and what isn’t.
Built for brands that take pricing seriously
“It’s straightforward and it just works. It’s easier than what I would have expected a price testing tool to be. The attribute model makes it so you're not worrying about modifying JavaScript to set up tests."
Built for Shopify Plus teams and their workflows
Works seamlessly with Shopify's native theme editor and branching. Switch between branches without breaking active experiments.
Integrates with Git workflows and CI/CD pipelines. All test configurations live in your codebase. Deploy price tests alongside feature releases without manual coordination or dashboard clicking.
Test variants render correctly in theme previews and staging environments. QA price changes before they go live. See exactly what customers will see across devices and contexts.
Shoplift loads asynchronously and caches aggressively. Price tests add 90-150ms of load time maximum, with zero impact on Core Web Vitals.
Most price tests reach statistical significance within 2-4 weeks, depending on your traffic volume and the magnitude of the price change. Shoplift automatically calculates when you have enough data to make a confident decision.
Most price tests reach statistical significance within 2-4 weeks, depending on your traffic volume and the magnitude of the price change. Shoplift automatically calculates when you have enough data to make a confident decision.
Most price tests reach statistical significance within 2-4 weeks, depending on your traffic volume and the magnitude of the price change. Shoplift automatically calculates when you have enough data to make a confident decision.
Most price tests reach statistical significance within 2-4 weeks, depending on your traffic volume and the magnitude of the price change. Shoplift automatically calculates when you have enough data to make a confident decision.
Most price tests reach statistical significance within 2-4 weeks, depending on your traffic volume and the magnitude of the price change. Shoplift automatically calculates when you have enough data to make a confident decision.
