Marketing Analytics & Attribution — The Matchbox
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Know exactly what's driving revenue.

"Half my marketing works, I just don't know which half" is a solved problem. We build the analytics and attribution that connect spend to pipeline — with statistical rigor — so you can defend every budget decision and double down on what actually works.

Attribution you can defend

Most attribution is a guess dressed up as a dashboard. We model it properly — reconciling first-party data, validating against reality, and proving causation, not just correlation. The result is a clear, statistically sound picture of which channels, campaigns, and touches move revenue, so the next dollar goes where the evidence points.

Why This Matters:

For Maxwell Social, built regression modeling at p < 0.0001 statistical significance with a 0.49 correlation coefficient.

Modeled attribution validated within ~1.3 percentage points of actual performance.

Capabilities

Multi-touch attribution modeling
Statistical & regression analysis
Data quality auditing & enrichment
Channel & campaign performance measurement
Executive reporting & forecasting

The case for it

Why invest in analytics & attribution

When you can prove what works, every other decision gets easier:

  • Confident budget allocation — Move spend toward proven drivers, away from the rest.
  • Causation, not coincidence — Statistical modeling separates real impact from noise.
  • Clean inputs, trustworthy outputs — We fix the data gaps that quietly distort every report.
  • A shared source of truth — One picture of performance that finance, marketing, and leadership all believe.

The Matchbox advantage

As expert MOPs strategists, our analytical approach provides unmatched clarity and confidence:

01

Statistical rigor, not dashboard theater

We model attribution with real significance testing and validate it against actual results, so the numbers hold up under scrutiny.

02

Analysts who sit inside the funnel

Our attribution specialists work next to the teams running media, lifecycle, and RevOps, so the model reflects how your growth actually behaves.

03

Proprietary AI-accelerated analysis

Our in-house tooling reconciles data, surfaces patterns, and flags quality gaps faster than manual analysis, freeing senior analysts for interpretation and strategy.

Process

01

Data quality & tracking audit

We audit your data and tracking to find the gaps that distort measurement.

02

Attribution modeling & validation

We build the attribution model and validate it against actual performance.

03

Channel performance analysis

We analyze how each channel and campaign actually moves revenue.

04

Executive reporting & ongoing measurement

We deliver clear executive reporting and keep measuring as your mix evolves.

Results

Maxwell Social: Regression modeling at p < 0.0001 significance with a 0.49 correlation coefficient, modeled attribution validated within ~1.3 percentage points of actual.

Trulioo: A Marketo audit that surfaced 35% missing country data — the kind of hidden gap that quietly skews segmentation, routing, and reporting until it's found and fixed.

eCommission: rebuilt clean attribution — 3 conversion events re-instrumented and the daily reporting gap cut from 33 to 7.

PropertyReach: verified conversion tracking rebuilt across Google Ads and HubSpot — turning an unmeasured account into one where every dollar is attributable.

FAQ

Marketing Analytics & Attribution
questions.

We fit the model to your buying cycle rather than forcing one default — combining multi-touch attribution, incrementality testing, and first-party data so credit reflects what actually drove revenue.

Keep reading

Learn the playbook behind it.

Guide

The 2026 Marketing Measurement & Attribution Playbook

Stop hunting for one model that tells "the truth." In 2026, defensible measurement is a stack: GA4 with custom channel groupings for tagging and diagnostics, multi-touch attribution for in-platform optimization (knowing it sees only 30-60% of touchpoints), marketing mix modeling (Google Meridian, Meta Robyn) for the strategic portfolio view, incrementality tests (geo and holdout) as ground truth, and server-side tracking to feed all of it clean data.

Guide

Marketing Mix Modeling (MMM) in 2026: Privacy-First Measurement Makes a Comeback

Marketing Mix Modeling — a decades-old econometric technique — is resurging because it needs no cookies, device IDs, or user-level tracking, making it the natural privacy-era answer to degraded multi-touch attribution.

Guide

First-Party & Zero-Party Data: A 2026 Strategy Guide

First-party data is information you collect directly from your own customer interactions; zero-party data is information customers intentionally and proactively share with you.

Glossary

Marketing Attribution

Marketing attribution is the practice of assigning credit to the marketing touchpoints that influence a conversion, so you can see which channels and campaigns actually drive revenue.

Glossary

Incrementality

Incrementality is the measure of outcomes (conversions, revenue, sign-ups) that happened because of marketing and would not have occurred otherwise.

Glossary

Google Analytics 4 (GA4)

Google Analytics 4 (GA4) is Google's current analytics platform and the replacement for the now fully sunset Universal Analytics, which stopped processing data in 2023 and had its data deleted starting the week of July 1, 2024.

Stop guessing which half works.

Request your attribution audit.

Request your attribution audit