Open-source, Kedro-shaped data infrastructure for ecommerce tracking + analytics. Server-side ad-platform tracking (Meta CAPI, Google Ads, TikTok), attribution, MMM, and local-first analytics for air-gapped environments.

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  • License: MIT License (MIT)
  • Author: Jong Hwa Lee
  • Tags analytics , tracking , attribution , ecommerce , mmm , marketing-mix-modeling , ad-platforms , data-pipelines , kedro , meta-capi , google-ads , shopify , mcp , model-context-protocol
  • Requires: Python >=3.10
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Project description

Perspection

Open-source, Kedro-shaped data infrastructure for ecommerce tracking + analytics.

Built for:

  • Server-side ad-platform tracking — Meta CAPI, Google Ads / GA4 MP, TikTok Events API
  • Attribution + 3-view analytics — channel, customer, product
  • Marketing Mix Modeling (MMM) — Bayesian, with cold-start priors
  • Local-first / air-gapped — runs offline, no internet required
  • MCP-native — exposes pipelines and views to AI coding agents (Claude Code, Codex, Cursor, custom)
  • BYOI (Bring Your Own Infrastructure) — self-host on your cloud, run locally, never a multi-tenant SaaS

Status: v0.0.1 placeholder. v0.1 in active development.

See the design doc in the private monorepo for the full roadmap.

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License

MIT — see LICENSE.

Project details

Verified details

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Maintainers
Avatar for uniquemind from gravatar.com uniquemind

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Project links
Meta
  • License: MIT License (MIT)
  • Author: Jong Hwa Lee
  • Tags analytics , tracking , attribution , ecommerce , mmm , marketing-mix-modeling , ad-platforms , data-pipelines , kedro , meta-capi , google-ads , shopify , mcp , model-context-protocol
  • Requires: Python >=3.10
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This version

0.0.1

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