What This Answers
- Which keywords drove paying customers, not just chart-level revenue segments?
- How does attributed revenue break down by campaign and country?
- Is Apple Search Ads attribution actually flowing into RevenueCat?
Customer attributes are fetched per customer. The summary endpoint samples recent customers for responsiveness. For large-scale historical analysis, RevenueCat Scheduled Data Exports remain the right tool inside RevenueCat; Appeeky focuses on live optimization workflows.
Prerequisites
- An Appeeky API key.
- A RevenueCat secret API key (
sk_…) viaX-RC-Key. - Apple AdServices enabled in RevenueCat → Integrations.
- Installs with attribution data — attributes appear after attributed users are recorded.
X-RC-Project when your API key accesses multiple RevenueCat projects.
Attribution Summary
Aggregates a sample of customers who have attribution attributes, grouped by media source, campaign, keyword, and customer country. Includes total attributed revenue per group.Query parameters
Example
curl
Response
Fields
Row dimensions
Revenue per row is summed from each customer’s subscription proceeds in USD.
Customer Attributes
Read the full attribute list for a single RevenueCat customer, including parsed attribution fields.Example
curl
Response
Reserved attribution keys
Other custom attributes on the customer are returned in
attributes but not mapped into attribution.
How This Fits With Profitability
Chart-based profitability matches revenue to segment names from RevenueCat. Customer attributes expose the same acquisition dimensions at the user level, which is useful when chart segments lag or you need country alongside keyword.
MCP Tools
See MCP for parameter details.

