Funnel
Funnel Analytics help you understand which steps of your app might need improvement to increase conversions and revenue. By analyzing funnels, you can answer questions like:
How do your app conversions change over time? Are there any seasonal trends?
Monitor changes in conversion rates over different time periods to spot patterns or trends that might be influenced by seasons, events, or updates.
How do conversions change during marketing activities or new circumstances?
Track how conversions shift in response to specific marketing campaigns or other changes, helping you gauge their impact on user behavior.
How do different regions react to your app updates?
Analyze how user behavior and conversion rates differ by region to understand how various updates or features perform in different markets.
What types of products convert better over time?
See which products or product features generate higher conversion rates, helping you focus on offerings with the greatest impact on your revenue.
With a funnel chart, you can gain deeper insights into user behavior by setting filters and groups, allowing for targeted analysis. Funnels work with the data gathered through the SDK and store notifications, so no additional configuration is required on your part.
Table View, Filters, and CSV Export#
The funnel chart is complemented by a data table that provides numerical details for each step. Some amendments are made in the table for easier understanding:
- Columns display data for all steps except for the first paid subscription. Instead, separate columns are shown for Install → Paid and Trial → Paid, which highlight key conversion points when free users become paying subscribers.
You can also filter the data by:
- Product type (e.g., economy, length).
- Time range for analysis.
- Country segmentation.
- Traffic attribution.
- Store.
You can choose to view absolute values, relative percentages, or both depending on the data you need.
Finally, the CSV export option allows you to export funnel data to analyze it further in Excel, Google Sheets, or your own analytical system.