Impact Measurement Calculator

Yes, Google Play Store Listing experiments are highly reliable. They use real store traffic with rigorous statistical methods, including minimum detectable effects to ensure significance and 90% confidence intervals. Google's infrastructure handles millions of installs daily, making these results trustworthy for business decisions.

This is common and usually indicates success! First, ensure you're filtering analytics to 'New Users' only (experiments test new users exclusively). More often, your improved conversion triggered Google's algorithm to show your app in 'Recommended for you' and 'Similar apps' sections. This can increase Store Listing Visitors by up to 7x. While these recommendation-driven visitors have lower intent than brand searchers, the net result is very positive: same conversion rate × 7x visitors = 7x more installs. Focus on total install growth, not conversion rate in isolation.

Annual projections are the industry standard for ROI calculations. This assumes consistent performance, which is actually a conservative estimate since winning variants often benefit from improved algorithmic ranking over time. Most successful apps see compounding gains as they run multiple experiments throughout the year.

Google Play experiments capture current traffic patterns, including any seasonal trends active during the test period. By running experiments continuously throughout the year (which PressPlay automates), you naturally account for seasonal variations. Our AI also learns from these patterns to suggest seasonally-appropriate tests.

Absolutely! Google Play experiments scale to your traffic level. The minimum detectable effect adjusts automatically based on your install volume. Even a 10% improvement on 100 daily installs adds up to 3,650 extra installs per year. With PressPlay running hundreds of tests, these gains compound significantly.

These projections are based on actual Google Play data and tend to be conservative. They don't account for: 1) Algorithmic ranking improvements from better conversion rates, 2) Organic growth from improved visibility, 3) Compound effects from running multiple winning experiments. Historical data shows our projections often underestimate actual impact by 20-40%.

Not all experiments will be winners – that's normal and valuable! Failed experiments teach us what doesn't work, saving you from costly mistakes. Google Play typically needs 7-14 days to reach significance depending on traffic. PressPlay's AI learns from both winners and losers to improve future experiment success rates.

While a single experiment might deliver a 10-20% improvement, PressPlay runs hundreds of experiments per year across all your app assets. If you achieve just a 5% improvement monthly through continuous testing, that compounds to over 80% annual growth. Our AI ensures each experiment builds on previous learnings, accelerating your success rate over time.