Know what drives revenue, not just clicks.

Know which channels and campaigns actually drive revenue, not just clicks. We build the measurement and attribution models that tie marketing spend to real business outcomes, so you can invest with confidence.

Let's measure what matters

Measurement you can spend against

Most analytics tell you what happened, not what to do. We build attribution and reporting that tie spend to revenue, so you can invest in the channels that actually earn and cut the ones that don't.

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Attribution that ties to revenue
We model which channels and campaigns actually drive sales, not just clicks and last-touch guesses, so you can move budget with evidence behind it.
A warehouse as the source of truth
Marketing and product data land in one warehouse, modeled and clean, so every report is built on the same foundation instead of siloed tool exports.
Dashboards people actually use
Reporting built around the decisions you make, not a wall of vanity metrics. The dashboard answers a question instead of raising ten.
Funnels you can act on
We map where people drop off and why, so improvement is targeted at the real leak instead of spread thin across the whole funnel.
Measurement that survives change
First-party, warehouse-based measurement holds up as cookies and platforms change, so your numbers don't quietly break next quarter.
A revenue attribution dashboard

From clicks to decisions

A dashboard that answers, not overwhelms.

More charts rarely means more clarity. We build reporting around the decisions you actually make, backed by a modeled warehouse, so a glance tells you where the money is working and where it's leaking. Fewer metrics, more answers.

How it works

From scattered metrics to trusted attribution.

  1. Goals & questions

    • Defining the decisions the data needs to support
    • Agreeing on the metrics that actually matter
    • Auditing current tracking and its gaps

  2. Data warehouse setup

    • Centralizing marketing and product data in one warehouse
    • Building clean, modeled tables to report from
    • Establishing one definition per key metric

  3. Tracking & collection

    • Implementing reliable, first-party event tracking
    • Capturing the touchpoints attribution depends on
    • Validating data quality at the source

  4. Attribution modeling

    • Building multi-touch and data-driven attribution
    • Tying marketing spend to real business outcomes
    • Comparing models so you know what's driving results

  5. Dashboards & reporting

    • Building revenue and funnel dashboards
    • Surfacing where to spend more and where to cut
    • Automating reports so they stay current

  6. Iteration & support

    • Refining models as you gather more data
    • Adding analysis as new questions come up
    • Keeping measurement accurate as platforms change
A team analyzing marketing performance

Case study

Attribution that moved the budget to what works.

A team was optimizing on last-click and overspending on channels that looked good but didn't convert. We built a warehouse, modeled multi-touch attribution, and rebuilt reporting around revenue. Budget followed the evidence.

31%

more revenue from the same spend

1

warehouse as the single source of truth

wk→hr

reporting cut from days to on demand

Read the full story

What clients say

We finally know which campaigns pay for themselves. We stopped guessing, moved the budget, and the revenue followed.

S. Winston

Growth Lead, E-commerce

Anksys engineers working through a problem together

Tell us what you're trying to prove

Ready to measure what matters?