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Sayfitech
Data & analytics

Attribution systems

Multi-touch models tying spend to pipeline and closed revenue, collected server-side.

Engagement
Fixed-scope build, testing retainer optional
Typical timeline
8–10 weeks
Starts with
Ad account access plus one month of order-level revenue data.
01The situation

Add up what each ad platform claims and you have sold roughly twice what you actually sold. Every platform counts a conversion it touched, and none of them subtract the sale that would have happened anyway.

Why it matters

Confident budget decisions in a privacy-first world.

One number everyone trusts.

What we build

Concrete artefacts, handed over and documented.

  1. 01

    First-party click and view capture with server-side collection, so measurement survives cookie loss and browser tracking prevention

  2. 02

    A conversion record joined to real revenue in your own database rather than to a platform’s estimate

  3. 03

    Coupon, referral and phone-order capture, so the channels that produce no click still get credited

  4. 04

    Attribution rules written down and versioned: how much credit each touch receives, and the reasoning behind that choice

  5. 05

    Incrementality tests using geographic or audience holdouts, because they measure the sales you would have lost, which no model can

  6. 06

    A weekly comparison of platform-reported results against your own, with the size of the gap shown per channel

What changes

01

Budget decisions rest on your numbers rather than on numbers reported by the party you pay

02

Duplicate credit across platforms is removed and quantified

03

The channel that survives a holdout test is known rather than assumed

How it runs

  1. Weeks 1–3

    01Collection

    Server-side capture, identity stitching and the join to orders, tested against a month you can verify by hand.

  2. Weeks 4–7

    02Model and rules

    Credit rules agreed in writing, implemented, and reported next to the platform figures for comparison.

  3. Weeks 8–10

    03First holdout

    One channel, one region withheld, and a read on what that spend was really producing.

06Typical stack

Chosen per project. Named here so you can see the shape of it.

  • Segment
  • GA4
  • BigQuery
  • dbt
  • Google Ads
  • Meta Ads Manager

Questions we get asked

Next step

Tell us the outcome, not the tooling.

Send us the situation you are in. We will tell you which discipline it belongs to, what we would do first and what it costs, including when the answer is to wait.

Start a projectOr email us directlyinfo@sayfi.ai