data-export

You can export marketing metrics, campaigns, and performance snapshots to BigQuery, Google Sheets, or Supabase by selecting a date range, applying optional filters, and choosing append-or-replace modes. The data is transformed into clean tabular rows with derived KPIs.

Yes, exporting contact data to Supabase supports PII handling through redaction, hashing, anonymization, or column removal. This ensures identity data remains safe when shared across downstream reporting destinations.

Derived KPIs such as CTR, ROAS, CPA, conversion rates, and deltas are calculated automatically during the data export process. Raw records are normalized into flat tabular structures with consistent naming and formats.

Yes, the data export process includes destination schema validation and schema documentation. It ensures reliable transformation into flat tabular structures while validating the destination schema before completing the export.

You can configure recurring exports to BigQuery by specifying date ranges, setting optional filters, and using append-or-replace export modes. Post-export integrity checks and execution logging verify each run completes successfully.

Raw JSON records must be converted into clean, flat, tabular rows with consistent naming, date formats, and currencies before reaching Google Sheets. Approval gating and post-export integrity checks ensure the flattened structure remains accurate.