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The attribution results table in the attribution dashboard

Jonas Østergård Bæk avatar
Written by Jonas Østergård Bæk
Updated this week

At the bottom of the page of the Attribution Dashboard you’ll find all the results of the modelling in a table form. While the table isn’t usually the most visually exciting way of analysing data it can be a very powerful tool for understanding multiple metrics and their performances across channels in a single pane of glass.

The table itself has a few features that can be helpful to know of when doing your analysis. First of all the search is a quick way for you to find specific channels. Additionally you can use the Metrics dropdown to control which metrics you want to see in the table. Furthermore, the table also has built in functionality for you to export it to a CSV that you can analyse further in other tools that you are more familiar with.

Since a key part of analysing the results of an Attribution model is about comparing it to other “sources of truth”, the table can also be set to “comparison mode”. You enable this by clicking the toggle next to the “Compare” word in the top right corner of the table.

When the table enters comparison mode, you are asked in which way you want to compare it. Either you can compare the results to a different time period (like last year or the previous period) or you can compare the results with a different model.

No matter which option you choose, the table will update to also include these comparison metrics, giving you a quick way to see how different metrics across channels compares to either that other period or that other model.

You can click each of the headers to sort by them, which for example allows you to quickly see which channels has the largest difference in ROAS across the comparison.

Another key thing that exists in the table is the Details button.

Clicking the Details button for each channel will allow you to dive even deeper into each individual channel and the model statistics that lie beneath it, including how certain the model is in it’s prediction of the results.

You can read more about the popup on the dedicated page found here: https://help.alvie.io/en/articles/455145-attribution-results-confidence-metrics

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