Welcome to the final part of the Clicks Rule special.
You may remember the 10% Clicks Rule is a technique to help identify the areas of your Google AdWords account which could benefit most from your time and effort (if not, you may want track back to Part 1: Overview and Part 2: Process).
What I want to do now is evaluate the rule using a real AdWords campaign data to assess its viability. Does it work? Does it help PPC management? Does it actually help improve results? Is 10% the right figure?
Let’s start with the example I worked through in Part 2: Process.
As you may remember, we identified the ad groups which were receiving a large percentage of total broad and phrase-match clicks. In the example I used, 4 ad groups received at least 10% of broad and phrase clicks.I then suggested looking at the search queries for these ad groups.This gave me some great insight. Although search queries 54, 183, 55, 56 and 150 were relevant to my products and services, they were being broad matched to ad groups which were not relevant. Looking down the list, I found many similar examples of relevant searches being matched irrelevantly.
So I decided to create 16 new ad groups with 288 new keywords. Doing so gave me ideas of other new types of keywords, so I added them too, some in new ad groups. With these new keywords having their their own tailored ads, I could now be more sure than whenever someone searched for these search queries again, relevant ads would show.
Let’s have a look at the before and after in terms of click distribution:
(A more comprehensive comparison of ad group click percentages for both months can be found here).
So although most of last month’s ad groups are receiving a smaller share of broad and phrase clicks, one ad group (36) is now receiving more.
Not ideal, but it’s a step in the right direction. Next month, the search queries for ad group 36 can be analysed and split out into separate ad groups. If we repeat the process a few more times, what we’ll hopefully see is the broad and phrase click distribution spread over a greater number of ad groups.
Now let’s look at how overall AdWords results have changed:
It seems like the improved ad group granularity, better tailoring of ads and 288 new keywords had a positive effect on CTR, Quality Score and conversion rate. Click volume also rose significantly for the same average CPC.
So great results all round.
We’ve only looked at one example so far. Let’s repeat the process for few more campaigns to see how the 10% Clicks Rule works on other campaigns.
Highlighted in red are the ad groups which are over 10% and could benefit from some insight.In examples 2 and 3, just looking at the search queries for these highlighted ad groups I found over 300 new keywords that could be added. Most were relevant to my products and services but were being matched irrelevantly.
Although examples 4 and 5 had fewer ad groups over 10%, just looking at the top ad groups helped me uncover some unnecessary broad-matching, suggesting maybe a ‘top 5 rule’ would be better to keep it relative.
Although no before and after results are yet available for these campaigns, it would be interesting to see how CTR, Quality Score and conversion rate improve over time with these ad group improvements.
So what can we conclude from all of this?
So…if you are worried that too much of your traffic is being broad or phrase-matched, or worried that you are losing control over where your ads are being show, or just want to improve CTR, click volume and conversion rate, this technique could be for you.
I’m convinced of it’s use in helping to improve AdWords campaigns. I use it regularly and it really does help to quickly and easily get to the heart of broad and phrase matching. It saves sifting through mountains of data and becoming overwhelmed with analysis paralysis. That’s just me though – if you’ve tried it out for yourself and have any suggestions, good or bad, I’d love to hear your comments.