Skip to content

Attribution for DTC brands

You are spending on six channels. Some of them are working.

You came here mid-task: a spend decision to defend, a funnel that stopped converting, a number your founder queried this morning. You are numerate without being an analyst, and you want the answer and the evidence behind it, not a query language to learn first.

Meta
TikTok
Email
Your order

claimed 176%

Shopify against four ad dashboards, every Monday. One number everyone agrees on.

Credit is divided once, across the whole path, so the totals in Soran are the totals you can put in front of anyone in the company without a footnote explaining which tool they came from.

Cost of goods
42%
Shipping
11%
Fees
9%
Profit
38%

ROAS measured against turnover. ROAS measured against margin.

With product costs in, the campaign moving your thinnest-margin line stops looking like your best one.

browser

5 of 10

server

10 of 10

Conversions the browser quietly dropped. Purchases recorded server-side.

The orders that decide your spend arrive whatever the blockers and the tracking prevention did on the way.

24h agonothing since 19:00

You find out in the monthly review. You find out in the week.

Trends, funnels, and the event log are there when a number moves and you need to know whether it was tracking, traffic, or the offer before the month closes on it.

None of this works on data Soran cannot see. It reads the platforms you already run.

See all integrations

Attribution used to be a quarterly project. Connect a store and read a report today.

Stop guessing which ads worked. Start seeing it.

  • No credit card to start
  • Every report and all ten models from day one
  • Your data exports whenever you want it
  1. 01

    Connect your store

    Shopify authorizes in a click and checkout tracking installs itself.

  2. 02

    Pick a goal

    The conversion you actually get paid for. Soran credits every touch that led to it.

  3. 03

    Read your first report

    Spend against the revenue it earned, on all ten attribution models.