SplitMetrics Optimize
App store optimization software
A/B testing tools
Mobile marketing software
Mobile app analytics tools
Mobile app optimization software
Conversion rate optimization tools
Application development software
Mobile development software
Mobile analytics software
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What is SplitMetrics Optimize
SplitMetrics Optimize is an app store optimization (ASO) platform focused on testing and improving app store listing assets to increase conversion from store visitors to installs. It supports experimentation on elements such as icons, screenshots, videos, and descriptions, typically used by mobile growth, ASO, and user acquisition teams. The product emphasizes structured A/B testing workflows and measurement of store listing performance to guide iteration on creative and metadata.
Focused ASO experimentation workflows
The product is purpose-built around testing app store listing elements rather than general web experimentation. This focus supports repeatable workflows for creative and metadata iteration (for example, icons, screenshots, and preview videos). Teams can use it to run structured experiments and make changes based on measured conversion outcomes. This specialization aligns well with ASO-centric operating models used by mobile growth teams.
Conversion-oriented measurement
SplitMetrics Optimize centers analysis on conversion from store page views to installs, which is a primary KPI for ASO programs. It helps teams connect asset changes to conversion outcomes rather than relying only on rank or keyword visibility. This is useful when creative performance is the main lever for growth. It also supports ongoing optimization cycles where learnings from tests inform subsequent iterations.
Supports cross-team collaboration
ASO testing typically involves marketers, designers, and analysts, and the product is designed for that workflow. It provides a shared place to plan tests, review results, and standardize decision-making around store assets. This can reduce ad-hoc experimentation and improve traceability of what changed and why. It is particularly relevant for organizations managing multiple apps or frequent creative refreshes.
Narrow scope beyond ASO
While it supports A/B testing, the core use case is app store listing optimization rather than broader product experimentation. Teams looking for in-app A/B testing, feature flagging, or deep product analytics typically need additional tools. It also does not replace mobile measurement or attribution platforms for paid acquisition reporting. Buyers should validate how it fits into their existing mobile analytics stack.
Depends on store traffic volume
Meaningful A/B test results require sufficient store page traffic and stable acquisition patterns. Smaller apps or those with highly variable traffic may struggle to reach statistical confidence quickly. This can lengthen test cycles and reduce the number of learnings per quarter. Teams may need to prioritize fewer, higher-impact tests when volume is limited.
Integration needs vary by stack
Organizations often want ASO testing results connected to broader reporting (BI tools, attribution, and campaign analytics). The level of effort to align metrics and reporting conventions can vary depending on the existing toolchain and data governance. Some teams may need additional setup to ensure consistent KPI definitions across systems. Prospective buyers should confirm available integrations and export options for their environment.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Custom / Enterprise | Contact Sales | SplitMetrics Optimize shows no public pricing on the official pricing page; plans are provided via a custom quote and demo request. |
