Pay per Click: Finding the Glitch
Author: Stephanie Cota
Break it down. That's what they always say. The glitch - how do
you get more of your potential customers to click on your ad?
You've got your keywords. And you've got your ads. And you've got
your landing pages.
When you take x number of keywords and x number of ads, it adds
up. For example, let's say you have 10 keywords and three ads. A
simple multiplication produces 30. We end up having different combinations
of keywords and ads that produce results. Each keyword can show
any of the three ads at any given time it is searched for.
Although it adds up math wise, this isn't how it works in producing
leads and sales.
For example, person number one types in teeth whitening
and sees an ad that talks about free parking at the dentist office.
Person number two sees an ad that talks about getting a beautiful
smile through teeth whitening. And this ad has a coupon that
will help him get this beautiful smile.
Two people searched for teeth whitening. Each person saw
a different ad. Which of these two people will click on the ad they
saw? What if neither of these people found the ad compelling enough
to click on?
Here is an example of a smaller localized market. The advertising
is targeted to a 30-mile radius around the dentist's office.
Our campaigns are focused on a small set of keywords, our ads are
focused on a specific value proposition and our landing pages are
focused on a specific offering. And let's say we want to get our
campaigns up and running quickly.
Given these parameters, we ran our localized PPC campaign for six
weeks. After six weeks we see there is considerable interest in
one of our major product offerings.
How do we know this? We can see our selected keywords get searched
on several thousand times a day. As a result of frequent keyword
searches, our ads get shown frequently.
Now let's take a step back. A common factor that makes localized
markets more complex is competition; particularly, those markets
Within a localized market, the numbers are smaller to begin with.
Within a 30-mile radius, there are x number of potential customers.
Let's say this potential is 1000 customers. There are several dozen
other competitors vying for the same potential customers.
These customers are searching for you. Each potential customer
sees the ads displayed after searching their keyword. To find out
about your offering they will click on your ad. If your ad gets
clicked on more, more people are finding out about your offering.
If not, less people are finding out about your offering.
What does this mean? It means each one of your potential customers
is finding out about another offering. Not yours.
You'll need to systematically test your ads. Yes A/B split testing
is what I'm getting at. It's simple. An ad consists of a heading,
two lines of description, and a display URL. Write several variations
of your ad and let them run for a set time. For example, try switching
two words around in your heading. For our localized market that
gets several thousand searches on teeth whitening, we can run our
new ads for four weeks.
Although our numbers are small, they are highly directional. Remember,
with search engines, everything is exponential. For example, one
ad gets a 1% click-through and another ad gets a 7% click-through.
This isn't logical. Rather, it's the ad that gets the better response
that produces more leads and sales. For example, an ad with a 1%
response rate, may have gotten 10 clicks while an ad with a 7% response
rate, got 70 clicks. Assuming a 5% close rate, our ad that produces
10 clicks will get us one new customer. Our ad that produces 70
clicks will get us four new customers. The second ad is 4 times
as effective as the first ad. Drawing this out over time shows that
within a few months, our customer base can increase by 4 new customers
per week. Over a three month span this is 48 new customers. Compare
that with twelve new customers.
Because teeth whitening is searched for frequently, ads
are shown each time. As the frequency of ad displays increase, we
are able to see the response rate. For example, by running six variations
of ads around the benefits of teeth whitening, we can see which
ad and keyword combinations grab people.
If three of those ads don't do well then we delete those and add
three more ads that are similar to the three ads that are doing
well. We take the headings and switch the words around. We take
the benefits and present different benefits around teeth whitening.
The result - after two months of systematic testing we know what
works and what doesn't work.
By split testing our ads and taking our chances on ads we didn't
know would work, we've grabbed a larger number of our potential
customers. They know about us because they clicked on our ad.
We didn't lose a lot of time either. We identified the glitch.
How? Through isolating the items, we saw the keywords were getting
searches. We saw our ads were showing up frequently. We also saw
that our ads were not getting clicked on. Furthermore, we see our
competitors' ads. By putting ourselves in the shoes of our potential
customers, we could make inferences into the ads that were getting
clicks. For example, ads that stress free parking at the dentist
may not be as compelling as ads which present a coupon.
By looking at our campaign in a systematic way and by correcting
early, we got the worm.