claude

attrib

Marketing Analytics & Attribution — multi-touch and marketing-mix attribution, channel ROI, campaign reporting, incrementality tests

77 on GitHubby tonone-aiv1.20.0MITupdated 2 days agoproduct
/

Plugin attrib from marketplace tonone-ai in tonone-ai/tonone. Commands read from the repo's manifest — 2 days ago.

What it installs

Skills (3)

  • attrib-model

    Build multi-touch attribution and incrementality-calibrated channel ROI, and assess marketing-mix model readiness. Use when asked to "build a multi-touch attribution model", "calculate channel ROI", "should we do marketing mix modeling".

  • attrib-recon

    Read-only audit of marketing measurement — tracking, attribution model, data quality and reporting trust. Use when asked to "audit our marketing attribution", "can we trust our marketing numbers", "review marketing measurement".

  • attrib-test

    Design incrementality tests — geo experiments, audience holdouts, lift studies — with power, duration and readout plan. Use when asked to "run an incrementality test", "is our retargeting actually working", "design a geo holdout".

Subagents (1)

  • attrib

    Marketing Analytics & Attribution — multi-touch and marketing-mix attribution, channel ROI, campaign reporting, incrementality tests

View source on GitHub second.tonone.ai

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claude & codex plugins156 plugins