Ad platform data inconsistency is when two or more advertising platforms report different conversion numbers for the same time period and campaign. It is one of the most frustrating problems in digital marketing. 

For example: Google Ads reports 120 conversions, Meta reports 90, but your actual sales orders show only 95. The numbers never add up. 

Why it happens:

Each platform uses a different attribution window — Meta might count conversions up to 7 days after a click, Google might use 30 days. Each uses different attribution models (last click, data-driven, view-through). They each take full credit for a conversion even when multiple channels played a role. And browser-side tracking gaps mean each platform sees a different portion of the full picture. 

How to fix it:

Use a neutral analytics tool (like GA4) as your single source of truth. Set matching attribution windows across all platforms. Use consistent UTM parameters. Implement server-side tracking to capture more complete event data.

Seers.ai’s server-side tagging acts as a central event hub — sending the same accurate event data to Google, Meta, TikTok, and others simultaneously — which significantly reduces the reporting gaps between platforms.