Export built audiences into platform-ready files for Meta, Google, or Reddit.
npx skills add https://github.com/wattdata/plugin --skill audience-activate
Please help me install this Agent Skill. Skill: audience-activate Source: https://github.com/wattdata/plugin/tree/main/skills/audience-activate Command: npx skills add https://github.com/wattdata/plugin --skill audience-activate
This Skill turns a built audience into a platform-ready export file, so you can deliver matched audiences without manually recreating platform-specific formats or hashing rules.
Use audience-activate to export the built audience to the selected platform after confirming the scale, identifier types, and file shape.
High-intent search queries and answers about installing and using this skill.
To export built audiences to Meta, Google, or Reddit, this Skill generates platform-ready files with correct identifier handling and layouts. It requires a confirmation step verifying platform, audience size, and identifier types before running the export.
Hashing identifiers for ad activation files is handled automatically by bundled writer scripts using Python 3. This process ensures identifiers meet the privacy and format requirements of destination platforms like Meta and Google before delivery.
Yes, you need Python 3 and the Watt connector to perform audience exports. These dependencies are required to run the bundled writer scripts that handle identifier hashing, file splitting, and platform-specific output layouts.
You can verify row counts and pruned records when exporting to ad platforms through operational safety reporting. The export process reports row counts, pruned records, and verification details to ensure exports can be audited and repeated accurately.
The audience export workflow supports signal stacks, rosters, and signal pools through confirmation-driven delivery. It processes these inputs to generate platform-specific output layouts while applying necessary pruning choices and row-count reconciliation.
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