Know your real cost per customer, across every channel
You know what you spent on ads by channel, but you don't actually know what it cost you to acquire a customer once every channel and discount is counted. Budget gets set by which platform's dashboard looks best, not by which channel actually brings in customers at a cost worth paying.
In short
Each ad platform reports its own cost per acquisition using only what it can see - its own clicks, its own claimed conversions. Connecting ad spend, attribution, and actual sales into one view - cross-channel attribution - calculates cost per customer from what really happened instead of a platform's self-reported estimate. The result is a number finance can use to approve or cut spend with confidence, and visibility into channels that are quietly unprofitable once every cost is counted.
The situation
You can tell someone exactly what you spent on Google, Meta, and affiliates last month. What you can't tell them, with confidence, is what it actually cost to acquire one customer once every channel's contribution and every discount is counted together.
The pain
Budget gets allocated based on which platform's self-reported dashboard looks best, not on which channel is genuinely bringing in customers at a cost worth paying. A channel with an inflated, self-reported win rate keeps getting funded while a quieter, more efficient one gets cut.
What we implement
We connect ad spend, attribution, and actual sales into one view, so cost per customer is calculated from what really happened across every channel, not a platform's optimistic self-reported estimate - this is cross-channel attribution.
What you get
Outcomes tied to your numbers
- Budget decisions based on real acquisition cost per channel, not a vendor's self-reported number
- A blended cost-per-customer figure finance can use to approve or cut spend with confidence
- Visibility into which channels are quietly unprofitable once every cost is counted, not just the ones that look bad in isolation
Illustrative scenario
Illustrative, not a measured result: a team relying on each platform's own reported cost per acquisition might find their real blended cost per customer is meaningfully different once every channel and discount is reconciled into one calculation. This is a scenario used to illustrate the mechanism, not a client outcome we have measured and are reporting as fact.
Common questions
Why is a platform's reported cost per acquisition unreliable?
Each platform reports cost per acquisition based on only what it can see - its own clicks and its own claimed conversions - not the full path a customer took or costs incurred on other channels along the way.
Is blended cost per customer the same as customer acquisition cost?
They're closely related - blended cost per customer is customer acquisition cost calculated across every channel and cost together, rather than one platform's isolated, self-reported version.
Will this tell us to cut spend on our biggest channel?
It tells you what's true, which sometimes means a channel is more efficient than it looks and sometimes less - the point is a real number to decide from, not a predetermined conclusion either way.