Adding more to the eVar party! 拾 If you want to determine which filters were used for specific products that were ordered, you can use Merchandising eVars & finding methods. This lets you tie specific eVars to specific products. If an order is placed with multiple products, each one can be attribute...

As others have mentioned, I don't believe there's a way to calculate this in AA. However, you can build a sequential segment to determine how many people perform the action within 2 visits. And another to see how many perform it within 3 visits, and so on. So not exactly what you're wanting, but it ...

Hi @tthmx9 this is a great question! Near the top of the calculated metric, select the format dropdown and change it to percentage. You can then add additional decimals if you want to show 44.44% for example.  

Awesome, glad it was helpful @FilipeFreitas !

Hi @FilipeFreitas if I'm understanding your suggestion correctly, it is possible. You can use both AND & OR, but you have to use different containers. Here's an example.  In the top container I'm using or. In the second container I'm using and. Between the two I'm using and.  I can change any of the...

I'm not sure if there's a way to do this without creating specific segments for each week. One sort of similar way you could easily do this in CJA is to create another data view with a longer session timeout period (say 1 week). You could then filter for sessions where both pages were engaged in the...

As far as I'm aware, any stitching requires CJA. You can use hashed IDs for stitching. In addition to stitching, another of CJA's key value propositions is the ability to include event datasets outside web to get a full view into the customer journey.

Most metrics also allow you to select non-standard attribution models. Click the gear for the metric and look at the bottom. Checking the non-standard attribution box allows you to select various allocation & lookback periods. Full details are at this link & I showed an example from demo data below ...

Sessions & People are containers which can contain more than one event. The difference represents those Sessions & People who also engaged with pages other than the LP. 998 sessions & 850 people engaged with the LP plus other pages on the site that aren't excluded.

Using data prep, you can nullify fields.