After yesterday’s Quality Score analysis template and post, I got to thinking about match type.
So in 15 minutes while sitting in a meeting I built this ClickEquations Analyst template which analyzes a full paid search campaign in terms of how much cost and revenue is occurring at each of the Google Match Types:
Click Image To Enlarge
It’s interesting and may need some more tweaks and consideration to make it truly useful, but I do think these taken together help get a 360-degree view of campaign performance and structure.
Template available to ClickEquations clients and trial users. Gee ClickEquations Analyst is cool.
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Hi Craig –
Nice visual display of match type distribution across a campaign. I wonder if trending the % on daily basis would be interesting to see if a campaign has a growing dependance on a specific match type.
Well done!
Martin
Yes Martin, I've thought of that. Trending these aggregate statistics is a bit of a challenge, but worth figuring out. Probably before trending will be a simple compare to prior period – this month vs last month. That's pretty easy to add to these current versions.
The next set we're building do change alerts – so you can see day/day or week/week where you've had moves in quality score, AveCPC, ave POS and other metrics. Also working to combine the best of all these into a few pages of dashboards for quick-rich-status views.
Hi Craig –
Nice visual display of match type distribution across a campaign. I wonder if trending the % on daily basis would be interesting to see if a campaign has a growing dependance on a specific match type.
Well done!
Martin
Yes Martin, I've thought of that. Trending these aggregate statistics is a bit of a challenge, but worth figuring out. Probably before trending will be a simple compare to prior period – this month vs last month. That's pretty easy to add to these current versions.
The next set we're building do change alerts – so you can see day/day or week/week where you've had moves in quality score, AveCPC, ave POS and other metrics. Also working to combine the best of all these into a few pages of dashboards for quick-rich-status views.
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