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How the mix of people who see your ads affects Google Ads performance.

Your audience is all the people that Google could show your ads to. - People whose search matched your keywords and match your location, demographic and other filters.

This audience mix changes all the time. Those changes make a significant difference to almost every aspect of a campaign's performance. Sometimes a change in traffic characteristics looks like a problem.

Let me give you an example.

Say your conversion rate dropped from 13% to 6% compared to last month. That's a big enough drop to get anyone worried.

Here are the numbers.

Month Clicks Conversions Conversion rate
May 800 106 13%
June 800 50 6%

At first glance this looks like a conversion rate problem. But, if we segment the clicks by device, a different picture emerges.

Desktop performance
Month Clicks Conversions Conversion rate
May 650 98 15%
June 100 15 15%
Mobile performance
Month Clicks Conversions Conversion rate
May 150 8 5%
June 700 35 5%

We don’t have a conversion rate problem:

What we have is a change in the mix between mobile and desktop clicks. In May we got 650 desktop clicks. That dropped to 100 in June clicks.

We got 150 mobile clicks in May and that went up to 700 in June.

If we tried to solve this as a conversion rate problem we’d get nowhere. Instead the answer to the lower conversion rate lies in finding out:

  1. Why we got fewer desktop clicks and more mobile clicks.
  2. Why the mobile searchers convert at a much lower rate than the desktop ones.

Your audience mix can change across several dimensions:

The reason for the search changes the mix.

Your future customer will do some research before buying. How much research depends on the cost and complexity of the goods or services they buy from you.
A few keywords let us target people closer to the buying end of the process but most keywords don’t offer that insight. That means that most of the time we won't know exactly where the searcher is on the buying process.

The people who see your ads will be somewhere between starting their research and being ready to commit. That makes it difficult to write ads and landing pages.

A headline "Fast Free Quotes" or "Fast Free Estimates" might appeal to someone who is close to committing. If lots of your searches this week came from people close to buying you'd have a high clickthrough rate. It would be less attractive - and thus less likely to be clicked - to someone early in the research phase.

It's the same after the ad has been clicked. Your landing page will favour a searcher at one end of the process over a searcher at the other end. That will show in the conversion rate.

I consulted on a campaign that had a great landing page -> lead conversion rate. A junior employee ran the AdWords campaign. She'd worked hard to get it to produce a strong flow of sales enquiries.

The boss decided that it would be more efficient if people could do their own quote on the website. That way the sales team wouldn't have to phone the people who filled in the enquiry form.
The boss hired a web developer (at great cost) to build an online quoting system. It took a couple of months but when it was done a visitor could complete a series of forms on the site and get their own quotation. The quoting system tied into the business's accounting system and workflow planning. It had all the bells and whistles.

The employee contacted me for help about 3 months after the quoting system went live. Her page conversion rate had tanked. The flow of quotes dried to a trickle.

The boss wanted to know why their Google advertising wasn’t working. Our hero was the target of his unhappiness.

We looked at the search terms that brought people to the site. A few indicated that the searcher was in buying mode. For the rest it was impossible to tell. The searchers could have been in the early research stage or ready to buy.

An online quoting system is a turn off for someone who is researching. It’s too early in the process. It's like suggesting spending the night with someone you've just met.

The boss was pretty attached to his online quoting system because he’d spent so much time and money on it. We couldn’t get rid of it right away so I suggested splitting the traffic.

We sent half the people who clicked to a page with the old enquiry form and the other half to the online quoting system.

The people who saw the old enquiry form filled it in at about the same rate they did before the change.

The campaign was fine. The problem was a mismatch between the searcher’s intent (research vs buy) and the ads and landing page.

When people search changes the mix.

I have a client who repairs electric driveway gates. His ads run 24/7 but there are two periods in every work day where his conversion rate skyrockets:

That’s when they hit the remote to open the driveway gate and smoke comes out of the motor.

His average conversion would be much lower if his ads were shown mostly in the middle of the day or late at night. The number of impressions and clicks might stay the same but people searching at those times don't usually have an urgent problem. They're less likely to hit the call now button.

Where people are when they search changes the mix.

I have a client who runs motorcycle tours from Cape Town in South Africa. We advertise in two locations: South Africa and the United Kingdom.

He gets 100x as many impressions from people in South Africa than he does the United Kingdom.

His South African ads face stiff local competition. His campaign averages around 5% CTR because there are lots of ads to choose from.

His UK campaign gets > 40% CTR because he's usually the only one advertising.

The words people use to search changes the mix and the results.

Your campaign probably has an assortment of keywords. They’ll range from wide to very focussed long tail keywords. You might have the same keyword with different match types.

Some keywords are cheaper, some have better CTR, others convert better.
The distribution of impressions, clicks and conversions across that medley of keywords changes. That causes a change in results.

What device people search on changes the mix and the results.

The mix of traffic by device - mobile phone vs desktop computers - is significant. I don’t think I’ve ever seen a campaign where desktop and mobile performance is the same across any metric. CTR is different, CPC is different, conversion rate is different.

When the ratio of desktop searches to mobile searches changes you should expect big downstream changes.

Where your ads show changes the mix.

You could show your ads on the display network and the search network.

Search partners are hundreds of non-Google websites (like AOL), as well as Google Maps, YouTube and other Google sites.

New campaigns default to show ads on both Google search and search partners. That gives your ads the biggest possible exposure.

Performance on Google search can be very different to performance on search partners. One of the campaigns I manage had the cost per conversion double on search partners. Disabling search partners and showing ads only on Google search freed enough budget to fund an extra 60 enquiries a month.

What next?

If you've got a campaign that's struggling:

  1. Has the audience mix changed across any of these dimensions?
  2. Is this change significant enough to have caused the drop in performance?
Need some help with this?

I offer 1-to-1 mentoring and consulting. You’ll get help, advice, support and answers without having to commit to a long-term contract. Details here.

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