Google Ads and Meta Ads both claim full credit for the same sale because each platform only tracks its own clicks. When a customer interacts with ads on both platforms before buying, each one reports the conversion as its own. The result is duplicate revenue reporting and inflated performance metrics. ThoughtMetric solves this by connecting touchpoints across every channel and distributing credit across the platforms that contributed, so each sale is counted once. In one October 2025 example, an e-commerce brand had $21,093 in revenue double-counted across just 66 orders before applying multi-touch attribution.

Each ad platform's dashboard only sees the clicks that happened on that platform. Neither Google nor Meta knows what the other influenced. When both platforms touch the same buyer, both take 100% credit, and the numbers stop adding up.

A mid-sized e-commerce brand brought in $586,849.54 across 3,566 orders. Most of their paid traffic came from Meta Ads and Google Ads, and in some cases both channels influenced the same sale.

Of those 3,566 orders, 66 included touchpoints from both Meta and Google Ads. Those 66 orders represented $10,546.73 in real revenue.

If the brand had relied only on platform dashboards, both Meta and Google would have claimed the full $10,546.73 each. That is $21,093.46 in duplicated revenue from a single channel overlap.

Most e-commerce marketers have seen it firsthand. Google Ads reports $200,000 in conversions. Meta shows another $180,000. Shopify reports $300,000 in total sales. The platforms together claim more revenue than the store actually made.

This happens because every ad platform credits itself for any sale it can connect to one of its own clicks. None of them account for the other channels involved in the same purchase. The reported numbers from each platform sit above the real total.

Multi-touch attribution stitches together every touchpoint a customer had before buying. Instead of each platform claiming the full sale, credit is distributed across the channels that contributed.

ThoughtMetric tracks touchpoints across Meta, Google, email, organic, and any other channel a brand wants to measure. Brands assign credit using one of several attribution models:

Lookback windows are configurable to 7, 14, 30, 60, or 90 days depending on the typical buying cycle.

In the October 2025 example, fewer than 2% of orders had overlap between Google and Meta, and that alone produced over $21,000 in duplicated reporting. For brands running heavier paid budgets across both platforms, the overlap is usually larger.

The exact figure varies by brand, traffic mix, and product category. The pattern is consistent. Whenever the same buyer sees ads on more than one platform, each platform's dashboard overstates its contribution.

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