PROOF OF WORK

The work.
In numbers.

Real engagements. Specific outcomes. No vague claims. Just before-and-after attribution stacks, and the numbers that changed after.

BRIDEBOOKSKANFEATURED

How Bridebook discovered their campaigns were performing 41% better than the reports showed

SKAN was so broken it was making working campaigns look like failures, and nobody could tell without a full account audit.

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41%

Improvement in cost per conversions

$100K+/mo

Paid spend impacted

1 week

to attain this results

ON-DEMAND CONSUMER APPATTRIBUTION

7 Events

reporting revenue

How a consumer app fixed a broken revenue signal before a single ad campaign ever used it

Seven different events all reported revenue, and the SKAN buckets were too wide to tell purchases apart. Both fixed before the first campaign launched.

ATTRIBUTION · SKANRead →

FINTECH REMITTANCE APPATTRIBUTION

5,066

Clicks tracked before the fix and only 194 ever became an attributed install

How a fintech remittance app rebuilt its attribution stack and validated 4 ad channels before launch

AppsFlyer was live, but almost nothing was attributing correctly and paid campaigns across four channels hadn't launched yet. The stack got fixed first.

ATTRIBUTION · SKANRead →

HAPPYSHYPEOPLEATTRIBUTION

channels now attributing correctly

How HappyShyPeople turned untracked paid web traffic into a fully attributed web-to-app funnel

Meta and Google campaigns were sending real traffic to the site, but none of it mapped back to app installs, or to the ad platforms for optimization.

ATTRIBUTIONRead →

LET'S TALK

Stop making budget decisions on data you don't trust.

No sales pitch. I'll look at your current stack, show you exactly where the gaps are, and what it's costing you. Because most attribution problems compound the longer they're left alone. The earlier you check, the cheaper it is to fix.

Find My Attribution Gaps