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SEOSEOPaid AcquisitionPaid acquisitionProgrammaticWebsite MonetizationProgrammaticApp UAApp MonetizationWebsite monetizationKeyword ResearchSearch IntentApp acquisitionROASCPAApp monetizationCPCLTVAffiliateeCPMRPMRetail MediaAttributionConversion TrackingCreative IntelMMPHeader BiddingDSPSSPRTBAd ViewabilityFill RateASOSKAdNetworkARPDAURewarded VideoAd MediationAffiliateCreative TestingA/B TestingRetargetingLookalike AudiencesCampaign OptimizationBrand SafetySupply Path

App User Acquisition

SplitMetrics

Paid

SplitMetrics is an app growth company whose Optimize product specializes in pre-launch validation and app store conversion testing. Teams can create simulated App Store and Google Play product pages, test icons, screenshots, videos, messages, concepts, and audience segments, and analyze behavior before changing a live listing, while the wider company also offers Apple Ads automation, App Radar, AI, and agency services. It suits app businesses that need controlled creative evidence beyond native store experiments and can supply enough qualified traffic for reliable results.

Optimizationapp store testingconversion optimizationcreative experimentsapp validation

What it does

SplitMetrics Optimize lets mobile teams validate app store creatives before pushing them live. You build a simulated App Store or Google Play product page, drive paid or owned traffic to it, and measure how icons, screenshots, preview videos, messaging, and positioning concepts influence tap-to-install behavior across audience segments. Because the test page is isolated from your real listing, you gather controlled conversion evidence without risking ranking or revenue on a live experiment. The broader SplitMetrics suite adds Apple Search Ads automation, App Radar keyword intelligence, and agency support, so testing connects to the acquisition channels where the winning creative is eventually deployed.

Where it fits

It sits at the creative-validation stage of mobile UA, between concept design and live store/ad deployment.

Core features

  • Simulated App Store and Google Play product-page testing environments
  • A/B and multivariate tests for icons, screenshots, videos, and messaging
  • Audience-segment targeting to compare creative impact by user group
  • Behavioral analytics on scroll depth, gallery views, and conversion
  • Apple Search Ads automation and App Radar keyword tooling in the wider suite
  • Statistical confidence reporting to call winners reliably

Best for

  • App teams validating creative before changing a live listing
  • UA managers feeding tested assets into Apple Search Ads campaigns
  • Studios with enough paid traffic to reach significance quickly

Beginner notes

  1. Budget enough qualified traffic per variant or results stay inconclusive.
  2. Test one strong hypothesis at a time before stacking multivariate changes.
  3. Move only statistically clear winners to your live listing or ad creatives.
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