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Journey segmentation using THEN command

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Level 2

I've been tasked by our Product and UX teams to find journeys on our site where users drop out, don't convert or experience issues.

Initially, I simply looked at Pages report using Exits and Exit rate metrics. I've also built some segments for users who login but don't transact while visiting our "key" areas of site to see which journeys they take.

What I wanted to do was build some basic journey segments listed below:

Homepage > Exit

Homepage > Key Area 1

Homepage > Key Area 1 > Exit

Homepage > Key Area 1 > Key Area 2

Already found some issues with results for the first segment. I assumed I'd use THEN command at a visit level.

When I use Page = home THEN Exit page = home, I see 6.8k visits

When I use Page = home AND Exit page = home, I see 13k visits

Any reason why these numbers would differ?

Also, has anyone had experience mapping out journeys using Adobe Analytics. Do you have any suggestions or use cases where you found poor converting journeys?

Thanks,

James

1 Accepted Solution

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Correct answer by
Employee Advisor

To be even more specific, you may want to consider doing something like this:

1266375_pastedImage_0.png

That "Within 1 Hit" guarantees that no other tags were fired in the visit. No download/custom/exit links.

If you want to allow download/custom/exit links, you could switch to "Within 1 Page View(s)":

1266376_pastedImage_1.png

Some additional food for thought, that doesn't necessarily apply to this segment:

With sequential segments, you have the option to:

1266491_pastedImage_2.png

This may be of interest to you when performing your analysis. Enjoy!

View solution in original post

7 Replies

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Employee Advisor

Hello James,

The first segment is a sequential segment. Implying it would take the VISIT into account when first Page = home occurred and then only it was also the Exit page.

Whereas the other segment combines Page = home AND Exit page = home as the condition in the Visit.

Visit 1: A -> Home -> B -> Home -> C -> Home

Visit 2: A -> B -> Home.

So, here Visit 2 will not qualify for the first segment, however it will qualify for second segment. Hope it makes sense!

In order to see journeys and dropouts, you could try using Fallouts in Analysis Workspace - Customer Journey - Fallout . It would help.

Thanks!

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Level 2

So to clarify, if I wanted to see how many users/visits went from Home then exit immediately would I use this segment:

1265825_pastedImage_1.png

And if I wanted those who enter site on Home then exit immediately (essentially a Homepage bounce) I would use this one:

1265826_pastedImage_2.png

Is this correct?

Avatar

Correct answer by
Employee Advisor

To be even more specific, you may want to consider doing something like this:

1266375_pastedImage_0.png

That "Within 1 Hit" guarantees that no other tags were fired in the visit. No download/custom/exit links.

If you want to allow download/custom/exit links, you could switch to "Within 1 Page View(s)":

1266376_pastedImage_1.png

Some additional food for thought, that doesn't necessarily apply to this segment:

With sequential segments, you have the option to:

1266491_pastedImage_2.png

This may be of interest to you when performing your analysis. Enjoy!

Avatar

Level 2

Hi ericmatisoff​ - interestingly when I used these segments and used 'Pages' report I could see other pages than just the Homepage. If this is users to Homepage who immediately exit then how could they visit other pages?

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Community Advisor

why don't you use the "visit depth" to see visits with just one page? see here Visit Depth

in your example with the entry/exit page the segment would be something like:

page = home

AND

visit depth = 1

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Level 2

I'm looking for specific journeys that may be longer than one page view.

Segment 1: Homepage > Exit

Segment 2: Homepage > Page A > Exit

Segment 3: Homepage > Page A > Page B > Exit

The issue is when I created segment 1 like the examples above I saw views of pages other than Home.

The goal from this is to find most popular routes, or routes that have a high exit rate.