View source: R/st_retention_facets.R
| st_retention_facets | R Documentation |
Retrieves retention curves from Sensor Tower's new facets-based retention endpoint. This wrapper targets '"/v1/facets/metrics?facets=retention"' and returns a tidy tibble with the live response columns preserved.
st_retention_facets(
app_ids = NULL,
unified_app_ids = NULL,
bundle = c("retention_daily", "retention_weekly", "retention_monthly"),
breakdown = c("date", "app_id"),
start_date,
end_date,
regions = NULL,
auth_token = NULL,
verbose = FALSE
)
app_ids |
Character vector of platform-specific app IDs. May contain iOS numeric IDs or Android bundle IDs. Supply exactly one of 'app_ids' or 'unified_app_ids'. |
unified_app_ids |
Character vector of Sensor Tower unified app IDs. Supply exactly one of 'app_ids' or 'unified_app_ids'. |
bundle |
Character string. Retention bundle to request: '"retention_daily"', '"retention_weekly"', or '"retention_monthly"'. |
breakdown |
Character vector of breakdown fields. Supported combinations are the ones documented by Sensor Tower: '"date"', '"app_id"', '"unified_app_id"', '"date,app_id"', '"date,unified_app_id"', '"unified_app_id,app_id"', and '"date,unified_app_id,app_id"'. |
start_date |
Start date in 'YYYY-MM-DD' format or as 'Date'. |
end_date |
End date in 'YYYY-MM-DD' format or as 'Date'. |
regions |
Optional character vector of region codes. When omitted, Sensor Tower returns worldwide estimates. |
auth_token |
Optional. Character string. Your Sensor Tower API token. Defaults to environment variable 'SENSORTOWER_AUTH_TOKEN'. |
verbose |
Logical. If 'TRUE', prints the request URL with the auth token redacted. |
Validated against the live Sensor Tower API on March 17, 2026. The production response currently returns daily retention columns including 'est_retention_d14' and 'est_retention_d365'.
A [tibble][tibble::tibble] with one row per requested breakdown combination. The response preserves Sensor Tower's live metric column names such as 'est_retention_d1', 'est_retention_d14', 'est_retention_w52', or 'est_retention_m12'.
[st_retention()] for the legacy retention endpoint, [st_facets_metrics()] for raw facets access
## Not run:
retention <- st_retention_facets(
app_ids = "553834731",
bundle = "retention_daily",
breakdown = c("date", "app_id"),
start_date = "2025-01-01",
end_date = "2025-01-31"
)
## End(Not run)
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