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Hi Jimmy,

Ah, I get what you mean about the visual element but I'm sorry I don't understand

what you mean about being able to plot the entire journey.  If I have 5 slots, how can I

fit 10 site layers in?

Is it possible to view: Home > Cateogry Page > Product Page > Basket > Cart > Confirmation Page

As distinct sections in the flow?

Thanks again.

Hi Tori,

Thanks for the reply.  I've looked at the MCF reports but what I need is a similar report but once the user is on the site, i.e. a step after the MCF reports.

Does that make sense?

Thanks again.

Hi,

Many thanks for your response.

Can you clarify what you mean by "It's a more visual approach than a reportable one (though the numbers are always there to be extracted)"?

Presumably, using your method, if I had a 10 step process from homepage to payment confirmation I could run visitor flow in two tabs / windows. One with the first half of the process, the other with the second half of the process?

If I compared the visitor flow with the goal flow for the checkout goal, would they match up (more or less)?

Thanks again.

Hi All,

I would like to understand how visitors navigate through my site and find out where the main drop out areas are (i.e. what pages / sections of the site do users leave on).

I will then be segmenting by mobile, tablet, new visitor, returning etc. to see how the various subsets of users behave.

To do this I generally do the following:

1. Identify main sections of the (ecomm) site: homepage, category pages, product pages, cart, checkout 1, checkout 2, checkout x, payment confirmation.

2. For each section above I either use a segment to isolate that section of the site, either by regex or a simple page selector and apply to the Audience >> Overview report and record the resulting session count.

OR

I filter the Behaviour >> Site Content >> All Pages report to isolate the various site sections and record unique pageviews.

3. I then plot these figures horizontally under a heading for each section of the site representing a flow between the pages of the site with a calculation showing the difference between each section of the site which represents user drop off.

Hope that makes sense.

What I am interested to know is, do you have any better suggestions to the process laid about above.

Do you see any issues with this process?

Hi,

Thanks for your reply.  To clarify, in your opinion Time to Purchase and Time Lag are useless reports?

I've not had a chance to look at KM, KI or CI.  How do they work?  I assume they cannot work retrioactively and are cookie based (cookies with a long TTL).  There is an obvious point of failure here - I read somewhere (shaky citation I know) that cookies are cleared much more frequently now (monthly) so this data has to be heavily caveated at best.

Thanks again for your help.

Hi All,

Using just GA is it possible to get accurate information about buying cycle duration - i.e. length of time from first interaction to purchase?

Time to purchase isn't what I'm looking for as it does not include direct visits.

Time lag seems off as it suggests that the majority of conversions happen on day 0 (as does time to purchase).  I know that any conversions outside of the time window default to 0 but I find it hard to believe that a clothing retailer has a similar buying cycle to a furniture store.  Of course I could be wrong here, I'm making a big assumption.

Neither report feels very robust to use for estimating split testing duration requirements.

I know that there are other methods available, by comparing raw clickstream / cookie data but I do not have this data available, nor do I have the time to get it.

Any info / advice would be great.

Thanks