tl;dr
The two reports run on different data foundations, so their numbers won't always match.
The Marketing Flex Table is built on session data (last-click, GA4 based) — best for traffic and session-level checks.
The Attribution Deep Dive is built on Klar's own attribution (the Klar Pixel plus your chosen attribution model, e.g. DDA or MMM) — use it for attributed revenue and budget decisions.
When the two disagree on attributed revenue or ROAS, the Attribution Deep Dive is the source of truth.
If you've ever compared the same channel in both reports and seen different revenue or ROAS, that's expected. They're not meant to be identical — they answer different questions from different data.
What data does the Marketing Flex Table use?
The Marketing Flex Table is based on Google Analatytics 4- data. It's the right place to start when you want to check Sessions per channel, spot channels with too little traffic, or find a channel that's misconfigured at the session level. The revenue in this report is assigned based on your eCommerce data in Google Analytics 4 and assigns the full revenue to the utm values that Google Analytics has captured for the related order.
Because it's last-click and session-based, it does not reflect Klar's full attribution logic. So don't use it to make final calls on attributed revenue or ROAS across channels.
What data does the Attribution Deep Dive use?
The Attribution Deep Dive is built on Klar's own attribution: orders captured by the Klar Pixel, distributed across channels by your selected attribution model (e.g. DDA or MMM). This is the view that reflects how Klar actually credits revenue to each channel.
Use it for the decisions that matter: which channel drove attributed revenue, how channels compare on ROAS, and where to move budget.
Why do the numbers differ?
It comes down to the data foundation:
Different capture: session/last-click data vs. Klar Pixel-captured orders.
Different logic: a simple last-click view vs. a full attribution model that can spread credit across touchpoints.
So a channel can look strong on a last-click, session basis and land differently once Klar's attribution model is applied — and vice versa. Neither is "wrong"; they're measuring different things.
Which one should I use?
Checking traffic, Sessions, or whether a channel is set up correctly → Marketing Flex Table.
Judging attributed revenue, ROAS, or where to shift spend → Attribution Deep Dive.
When the two disagree on attribution, trust the Attribution Deep Dive.