Multi-Channel Attribution & Marketing Intelligence OS

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Marketing

Unified attribution model reflecting real buyer journeys across Meta, Google, TikTok, LinkedIn, and email.

-21%

CAC Reduction

Dynamic

Budget Optimization

First Time

Accurate Exec Reporting

Overview

A company spending millions annually across Meta, Google, TikTok, LinkedIn, and email needed to unify data into a real attribution model that reflected the real buyer journey. CAC was reduced by 21% and the exec team gained accurate reporting for the first time.

Challenges

Fragmented ad platforms with different structures

No consistent KPI definitions

Dark-funnel behaviors invisible

No unified timeline for user interactions

Marketing & execs lacked a single truth source

What We Delivered

Attribution data lake with cross-channel identity stitching

Multi-touch attribution engine (Markov, time decay, position-based, custom weighted)

Executive dashboard with CAC by channel and journey

Assisted conversions and content → pipeline influence

Budget optimization simulator

AI anomaly detection and spend reallocation suggestions

Tech Stack

Custom ingestion from all ad APIs, Identity stitching, Time-series normalization, UTM + CRM + product usage correlation, Markov chains, Next.js dashboards

Results

-21%

CAC Reduction

Dynamic

Budget Optimization

First Time

Accurate Exec Reporting

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