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Developer Marketing Measurement & Attribution Triangulation

An open-source causal analytics engineering pipeline reconciling Platform Claims, Multi-Touch Attribution (MTA), Media Mix Modeling (MMM), and Matched-Market Geo-Lift for Developer BaaS.

41 dbt Nodes • 20 Invariants • 0.000000 Drift GitHub Repository
PLATFORM CLAIM VS CAUSAL +698% BIAS
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causal convs
Claimed by ad networks: --
INCREMENTAL CAC DEFENSIBLE
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per Pro upgrade
Claimed blended CAC: --
MARGINAL ROAS 6M LTV BASIS
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return ratio
Calibrated via adstock carryover & Hill saturation
EST. PAYBACK PERIOD $25 MRR TIER
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months
Project unit economics recovery timeline

Attribution Triangulation by Channel

Comparing Platform Claims vs MTA (First/Last Touch) vs Causal MMM

fct_marketing_triangulation

Hill Function Saturation & Diminishing Returns

Model: S² / (K² + S²), Half-Saturation K = $2,500

int_adstock_and_saturation

Developer Project Retention Decay Waterfall

Weekly Cohort Survivability (Day 7 vs Day 30 Retention & Paid Conversion %)

fct_developer_cohort_retention

Live API Ingestion Telemetry

Live Free APIs
Supabase GitHub Stars: 109,204
GitHub Forks: 13,765
Open Issues: 1,139
Top Hacker News Developer Buzz:
Ingested via: GitHub + Algolia + Frankfurter

Daily Triangulation Explorer

Filter and audit multi-channel reconciliation telemetry

Date Channel Spend (USD) Platform Claim MTA First MTA Last Causal MMM Platform Bias % Inc. CAC