Understanding Demand Score Insights

The Demand Score page provides several charts and breakdowns to help you understand how demand score correlates with conversion behavior in your app. Each section is collapsible and includes explanatory notes directly below the chart.

Conversion rate

The Conversion Rate chart shows the observed conversion rate for each demand score bucket. Higher-demand buckets should generally have higher conversion rates. If they don't, it may point to a paywall or offer issue in that range.

Each bar is shaded by confidence level based on the sample size in that bucket:

Total paywalled users by conversion

This stacked bar chart shows the absolute number of users per demand score bucket, split into conversions and non-conversions:

Unlike the conversion rate chart (which normalizes by percentage), this view shows where your actual volume sits. A high-volume bucket with a low conversion rate represents more potential revenue impact than a low-volume bucket with the same rate.

Use this chart to:

• Identify where your users are concentrated. If most volume sits in the 80–100 range, your user acquisition is bringing in high-intent users.
• Prioritize experiments. A high-volume, low-conversion bucket is the highest-leverage place to test a new offer.

Trial conversion and billing issues

This stacked bar chart breaks down uncancelled trial outcomes by demand score bucket:

Each bar shows three outcome types:

This chart helps you understand post-conversion behavior. If certain demand tiers show high billing issues or low trial conversion, consider adjusting trial length, payment timing, or trial-to-paid messaging for those segments.

Breakdown by placement

The Breakdown by Placement table shows how demand score and conversion vary across each of your paywall placements:

Each row displays:

Use the Min. Paywalled Users filter to hide low-volume placements and focus on statistically meaningful data.

How to read the demand score range: A tight range (Q1 and Q3 close together) means you're addressing a specific demand tier at that placement. A wide spread suggests the placement sees a mix of intent levels, and you may benefit from sub-experiments targeting different tiers within that placement.

Breakdown by country

The Breakdown by Country table uses the same format as the placement breakdown, but groups data by the user's country:

Use this view to:

• Compare intent vs. performance across markets. If two countries have similar demand score ranges but different conversion rates, the gap is likely driven by localization, pricing, or product-market fit rather than user intent.
• Simplify segmentation. If countries with similar demand scores also show similar conversion rates, targeting by demand score alone may be more effective than targeting by geography.
• Find underperforming markets. Countries with reasonable demand ranges but low conversion are candidates for localized pricing or copy experiments.

AI Analysis

The AI Analysis section generates an AI-powered summary of your demand score data for the selected date range. Click Generate AI analysis to create a report:

The report includes three sections:

• Insights: Key patterns across your data, including what's working, what stands out, and where the opportunities are.
• Demographics: Observations about your user distribution and how volume concentration affects the analysis.
• Experiments: Two to three concrete next steps based on placement performance, country data, or demand tier opportunities.

The analysis is cached locally. If you change the date range or the cached report is more than a day old, click Regenerate to get a fresh analysis.

Adjusting bucket size

Each chart section includes a Bucket size slider that controls how demand scores are grouped. The available sizes are 1, 2, 4, 5, 10, 20, and 25:

• Smaller buckets (e.g., 1 or 2) give more granular data but can be noisy with low sample sizes.
• Larger buckets (e.g., 10 or 25) smooth out noise and show clearer trends.

Start with the default bucket size of 10 and adjust based on your user volume.

Exporting data

Each chart section has a Copy Data button that copies the chart's data to your clipboard in CSV format. Use this to perform further analysis in a spreadsheet or share data with your team.