The marketing solution to challenge Meta attribution and reconcile your data

Meta uses a closed ecosystem and first-party data to cross-check information. This can lead to:
- Duplication of conversions: same conversion counted multiple times
- Inflated attribution: inclusion of post-view interactions without clicks
- Tracking difficulties: cross-browser and cross-device paths."
Attribution
Meta uses a closed ecosystem and first-party data (email, phone, surname, first name) to cross-reference information. This approach, while powerful, can lead to several biases.
By reintegrating data from multiple internal sources, Meta can attribute conversions even when direct interaction (click) has not taken place, leading to figures that are often overstated.


De-duplication
Meta can count the same conversion multiple times when the user journey involves different contact points or multiple overlaps. In this way, the same action can be counted twice or even three times, whereas your external analytics tools only record a single action, guaranteeing more rigorous measurement.
The discrepancies between Meta and your analytics tools can also be explained by the inability of conventional solutions to track the entire user journey.
When a user navigates on different browsers, tracking continuity is broken, distorting the correlation of actions.
Using multiple devices during the same conversion journey complicates data collection and interaction reconciliation
Simple exposure to an ad, without direct interaction, can trigger a conversion. Yet these scenarios are often underestimated by external tools.
Discrepancies between Meta attribution and your analytical data can have significant impacts

- Biased ROI measurement
Inflated or duplicated figures distort the evaluation of the return on investment of each marketing lever.
-Intuitive decision-making
In the absence of precise data, strategies are sometimes based more on intuition than on concrete analysis.
-Complexity of analysis
The time spent understanding and reconciling these discrepancies can divert attention from essential strategic actions.
Smart Copilot has been designed to challenge traditional Meta attribution and offer a clear, global view of your marketing performance.
Smart Copilot detects contact points often overlooked by traditional tools (post-view, post-click, cross-browser) and corrects duplication, ensuring accurate measurement of every conversion.
By comparing and reconciling Meta data with data from your analytics tools, Smart Copilot gives you a complete and accurate view of your marketing mix, eliminating over-counting and duplication.
Thanks to continuous updating, you benefit from an instant, reliable view of your performance, essential for quickly adjusting your strategies.
Discrepancies between Meta attribution and your external analytics data are not just a matter of technical tracking difficulties, but also reveal potential overvaluation due to duplicate conversions.
With Smart Copilot, not only do you challenge classic Meta attribution, but you also benefit from precise reconciliation of your marketing data.
Adopt an enlightened approach to steer your strategies with confidence, and get a real vision of the return on investment of each of your levers.

