Comparison
UserApprovedvs.Shoplift
Shoplift A/B tests the page variations you build. UserApproved tells you which changes are worth making, checks them across devices before launch, and catches regressions after.
Shoplift is a Shopify-native A/B testing app for theme and landing-page variations. UserApproved is an AI CRO platform that diagnoses what's actually hurting conversions, validates theme and page changes across devices before they launch, and monitors your store continuously. Use UserApproved to decide what to change and catch regressions; use Shoplift to A/B test the variations.
Side-by-side comparison
Primary job
What you bring
Traffic required
Pre-launch
Scope
Expert review
We decide what to change. Shoplift A/B tests it.
Shoplift is built to test the page and theme variations you create. UserApproved is built to tell you which variations are worth creating, validate them across devices before they launch, and catch the breakages a test would never reveal. Use UserApproved to choose and de-risk the change, then Shoplift to prove the lift.
Use both: UserApproved decides what to test, Shoplift proves the lift.
Common questions
Is UserApproved a Shoplift alternative?
They're complementary. Shoplift A/B tests page and theme variations you build. UserApproved diagnoses what's worth changing in the first place and checks new layouts across devices before launch. Many Shopify teams use both.
Does UserApproved run A/B tests like Shoplift?
No. UserApproved finds and prioritizes issues, validates changes pre-launch, and monitors after. Keep Shoplift for the controlled A/B tests; use UserApproved to choose what to test and catch what tests would miss.
Can UserApproved catch a broken theme update?
Yes. Its pre-launch validation shops the new layout across iPhone, Android, and desktop and flags issues such as a checkout button hidden below the fold, before the update reaches customers.
Do I need a lot of traffic, like I do for Shoplift tests?
No. UserApproved diagnoses issues with AI agents and your analytics rather than waiting for a test to reach significance, so it works on lower-traffic stores and delivers findings on day one.
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