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Fabrik Analytics™
Paid media, CRM and ecommerce

Spend that knows what is on the shelf.

Creative fatigue, profit on ad spend per product, market-level spend and first-party attribution, with every budget edit on the timeline.

The Media Library: the filter bar and a four-column grid of ads and emails with revenue, ROAS, spend and CTR, for Fellwick, an example brand.

What this team gets on its list

  • Refresh a creative that is wearing outAd creative fatigue detected
  • Add creative to a campaign that leans on oneCampaign reliant on single creative
  • Scale spend behind a well-stocked best sellerBestsellers well-stocked, scale marketing
  • Brief the next send on the layout that earnedTop revenue-per-recipient email designs
  • Fix a send that was opened and not clickedHigh opens but low clicks, design issue

Questions this team asks every week

  • Which products still make money after the ads that sold them?
  • Which creative is wearing out, and what do we swap in?
  • Is spend still pointing at a size we cannot sell?
  • Which market should the next pound go to?

The numbers this team runs on

  • Profit on ad spend per product

    Conversion value less cost of goods, fees and the spend that sold it, for Meta and Google.

  • Spend on sold-out sizes

    Paid spend still pointing at variants that are out of stock, joined at variant level.

  • Ads and emails in one library

    Every Meta ad and Klaviyo campaign side by side, with its numbers and the day it went live.

  • Spend by market

    Spend share against sales share by country, with a verdict only when there are orders to judge.

  • One channel per order

    Fabrik's own pixel credits each order once, with the journey behind it.

  • New-customer cost and payback

    What a new customer costs, against what their first order earns.

Does it replace Meta and Google reporting?

It sits beside them. Each platform's own claim is shown next to what Fabrik's pixel saw, per ad and campaign.

Every other team is on the same numbers

See your own numbers, team by team.

A 30-minute walkthrough on your store's data, with a straight answer on fit.