Overview & Strategic Importance

Every ad platform reports the conversions it believes it influenced, using its own attribution window and its own definition of influence. Meta defaults to a 7-day click and 1-day view window; Google Ads uses data-driven attribution across a configurable window and counts view-through separately; both apply modelling to fill gaps where observation failed. None of them can see each other. The arithmetic consequence is unavoidable: with four channels running against a considered purchase, the sum of platform-reported conversions routinely exceeds the number of orders actually booked, because the same order is claimed more than once. This is not the platforms lying. Each is answering the question 'did I contribute?' honestly and in isolation, while the business is asking 'which channel should get the next rupee?' - a question no single platform has the data to answer. Skew is therefore structural rather than a bug to be configured away, and the fix is a reconciliation layer that both platforms feed rather than a search for the one platform telling the truth.

Measured Market Insights

  • Meta defaults to a 7-day click, 1-day view attribution window. Google Ads applies data-driven attribution over a configurable window. The two count the same purchase differently, and neither sees the other.
  • View-through conversions are counted by platforms and almost never by finance, which is a frequent source of the gap between reported and booked revenue.
  • Modelled conversions - estimates filling observation gaps - are included in platform reporting by default and are not separately labelled in most exports.
  • The overlap grows non-linearly with channel count. Two channels overlap modestly; five overlap enough that platform-reported totals can exceed actual revenue by a wide margin.
  • The reconciled number is almost always lower than every platform dashboard. That is expected, and it is the number worth budgeting against.

Core Optimization Bottlenecks

Double-Counted Bidding Budgets

Campaign managers scale separate adsets believing each drove unique sales, only to find business cash balances flat.

Murky Budget Allocation Sheets

Inability to verify whether search or social drove a conversion leads to marketing disputes.

Wasted SDR qualitative Vetting

Bidding systems target accounts that register but never buy, forcing SDRs to compile manual sheets.

Strategic Growth Solutions

1. Measure the size of the gap first

Sum platform-reported conversions for a period and compare against orders booked in the same period. The ratio quantifies the problem and is usually the fastest way to end an internal argument about which dashboard is right.

2. Standardise attribution windows across platforms

Comparing a 7-day-click Meta number against a 30-day Google number compares two different questions. Align the windows before comparing anything.

3. Adopt one source of truth for revenue

Your order database or CRM is the only system that knows what was actually sold. Platform figures become optimisation inputs; the ledger stays authoritative.

4. Separate observed from modelled conversions

Where the platform exposes it, split the two. Optimising against modelled data without knowing its share means you cannot tell measurement changes from performance changes.

5. Use incrementality tests for the decisions that matter

Geo holdouts and scaled spend tests answer what attribution cannot: what would have happened without the channel. Reserve them for genuine budget-allocation decisions.