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Attribution for agencies

Twenty clients. Twenty logins. One place to run them all.

Performance agencies run the same acquisition work across many stores at once. The organization and property model exists so you can hold dozens of client stores side by side without one client's numbers ever reaching another's report.

Northwind

Aster

Kiln

Marlow

Twenty tabs, and one of them is the wrong client. A property per client, isolated by default.

Each client is a world of its own: their visits, orders, ad spend, goals, costs, and reports. One client's numbers can never reach another client's report.

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Access granted per tool, per client. Granted once, reach decided after.

Add a strategist once and choose which clients that reaches.

  • #1042Meta AdsSpring carousel128.00
  • #1041TikTok AdsCreator UGC 364.50
  • #1040EmailBack in stock212.00
  • #1039Meta AdsRetarget 30d88.00
  • #1038SearchBrand terms149.00
  • #1037TikTok AdsCreator UGC 174.25

Offboarding meant rebuilding reporting. Properties move with their history.

Moving a client somewhere else takes their people and permissions with them, not their history.

Meta reports Your orders
W1W2W3W4W5W6

Every client asks the same question differently. Every account gets the same honest numbers.

The same models, the same goals, and the same margin ladder run on every property, so a result you defend for one client is defended the same way for the next.

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

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Client reporting should not be a spreadsheet ritual. Give every account the same honest numbers.

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.