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Pay-Per-Click Strategies for Search Engine Marketers Part Three

We continue with our PPC special, talking to three very experienced pay-per-click operatives - Ammon Johns , Andrew Goodman from Page Zero Media and Jim Banks from Web Diversity who have all kindly agreed to share their knowledge. (Continued from Part One and Part Two).

We pick up this week on the topic of keyword selection....

PD: PPC and SEO share the same end: visitors. Both need to ensure the right mix of keywords is chosen if the aim is to attract and convert qualified visitors to actions/customers. I've always found that the PPC approach allows for a lot of experimentation and refinement in this area given the immediacy of the environment. Can you elaborate on how you find the right keywords to target? How specifically do you use PPC to decide which keyword terms are worthwhile?

AG: Keyword selection, I suppose, comes in two flavors: basic and advanced.

Basic can get you pretty far. Everything SEO's generally say about keyword research is correct. Use Wordtracker, use Altavista's Prisma, etc. etc. Let's face it, folks - someday, software is going to do most of this job for us, and do it in much more sophisticated fashion. I don't think it will be Wordtracker.

The fact that Overture has Match Driver and that Google has rolled out Content Targeting is another harbinger of things to come. These companies have in-house technologies which marry semantic/linguistic analysis with the tasks facing the keyword advertiser. It's not too difficult to look ahead to the day when more of that functionality is available within the interface of major PPC's. Search123 recently acquired Simpli.com, which, along with Applied Semantics (formerly Oingo, which I just have to add because I like to say "Oingo") is a clever startup doing research in this field of meaning-based search.

The client's own specialized info may be even more useful than the stock keyword research effort, however. Search frequency information can always come out after the fact - there is no harm in just entering phrases to see what sticks. Clients have product lists, information on competitors, industry buzzwords, etc. - that may not come to light as well as they should in Wordtracker. Remember, you can get super-granular here. The name of a single character in a sitcom, for example, may only get 82 searches a day, but if you dumped a list of 500 such characters into your keyword list, now you'd be getting 40,000 impressions a day adding up to let's say 300 clicks per day (no doubt bargain-priced). Yep, keyword research is important!!

OK, that's basic keyword selection.

Then there is advanced class. You need to look a bit beyond keywords, for starters. "One big dump" of key phrases all tied to a single ad is not nearly as good as organizing these around a wide number of carefully written ads that correspond more closely to a small group of key phrases.

And then there are several advanced tips and tricks which shall remain proprietary, copyrighted info as long as I'm sitting here :)

Better keyword selection can even cut down on fraud and malicious clicks.

As for determining which are worth the most to your business: as Jim has mentioned, you need to be using software which tracks sales conversions at least by ad group, and preferably by keyword.

For the majority of advertisers who either have no tracking, very rudimentary tracking, or some tracking in place but don't act on the info: I'd argue that perfectionism will only hurt them. Instead of trying to get the ultimate stats package set up, get something a bit better than you have now... and act more systematically on what you learn.

If you have a larger company replete with CIO, you of course have my permission to spend the wad on metrics reporting, and to assign staff to brief execs on the meaning of these numbers.

It's simple, really. Looking at Google's or Overture's interface will show you how many clicks you received for a given search phrase over a given period of time. It will even show you the CTR. But that info is useless without knowing how many of those kinds of clicks (on that keyword, or ad, or group of keywords - however you choose to track) converted to revenues, and how much revenue. If none of the clicks converted at all, then those are effectively useless clicks, and you should stop wasting money on that keyword!

I should add the caveat that "desired actions" may not just be sales, but newsletter signups, downloads, and other on-site actions. Whatever metric you are comfortable with.

Jim Novo of Drilling Down and ex of the Home Shopping Network takes us a bit deeper - showing that it is possible to predict repeat buying behavior. I think there is a continuum with this stuff. Jim is probably to the "hyper-rationalist" side... if you can analyze the data as well as he does, you may find that certain types of buyers turn out to be your worst (non-repeat) buyers when you thought they were your best. Great if you can do it, but not for the faint of heart.

Most companies I work with just need to install something that tells them if they're egregiously wasting their money on PPC or on aspects of their campaigns. Most aren't ready for the hyper-rationalist mode.

One vexing thing is that it is still difficult to track some of the PPC traffic back to the correct source - or to sort amongst, say, Google.com Adwords clickers and those clicking in from AOL, Ask Jeeves, Earthlink, and Sympatico. It isn't impossible, but it is difficult. The same goes for Overture, Looksmart, and most of the smaller PPC's as well. They use many different partners. As I understand it, you'd need some pretty sophisticated log file analysis to sort it all out.

All of this hemming, hawing, and prevaricating probably indicates that we've come a long way from the days of buying eyeballs and hoping for the best!

JB: Boy, you can tell Andrew has written a book. I'm still on my first novel and when I finish it I might read another.

I think Andrew is right on the money. There are no good or bad keywords really. You could choose a lousy bunch of keywords that still convert, or you could find some kick ass keywords and write a lousy creative and get a poor response rate.

Overture recently introduced some technology, which, for a lot of advertisers will be a godsend. But I see it differently, what it will do is it will drive the cost up. Some of the skill has been removed, and the "tool" has been provided to enable advertisers to have more keywords in their account and therefore to spend more money.

In the gold digging days people would pan for gold in the same river, and two people could get different results within yards of each other, by adopting different techniques.

As Andrew said, the whole world can find the huge words, but the real value will come from having a few hundred keywords that have no competition and a decent number of searches, so you can dominate the market, or it will come from being in the right place, at the right time for the right keywords, but withdrawing at the right time also.

What is interesting now is that Adwords has been around for a little over a year. So, we have historical data from the same period last year to benchmark against with some clients. Quite often a good campaign can be picked from the cupboard, blow the dust off and put your loyal servant back into the game. I think this is where companies like ours will score heavily, because we have a lot of data, for a lot of industries, in addition to the sexy techniques that are closely guarded secrets that not even a Lambourghini would pry from me.

On that last point, I think Overture and others should take note. Many historical data is only available for 95 days. Sure you can print off a report for posterity, or download the data as a spreadsheet, but it should be simpler.

When we take over some client accounts where they have been doing their own thing it's often quite funny to see how they have set things up. On Google they might have 3 campaigns (aptly named Campaign #1, Campaign #2 etc.. for ease of reference), they never use phrase or exact match, and although they get traffic in decent quantities, I bet if they were directing the clicks through their logs that the majority would not be relevant to what they were selling.

If you think about it most manufacturers have more than one product range, so bidding on the keyword "ticket" would get you a whole bunch of unwanted stuff if all you sold was rail tickets, "sony" would get you a lot of electrical goods over and above the video cameras you sell.

Jim Novo is a great source of information, but for the average advertiser it is probably a step beyond their capability. If the client doesn't have the right metrics measurement tools in place, we look to sell them one. Of course we make a small amount of money on the sale, but it's more about visibility. The data gives us the chance to extract more value out of the information than most.

We measure the number of single visit clicks that come in. If you are paying 20 cents a click and get 100 a day of those 1 second visits it adds up to $600 a month of waste. Sometimes you need to be ruthless in culling keywords that don't work. Sure, try other things like different landing pages, different titles and descriptions, use the price in your ad if you are selling something that is price sensitive.

A good metrics package can be a bit like a personal shopper. We follow someone round the site from the time they arrived (which PPC provider/search engine/keyword they came in on), to the time they leave. it's amazing how little things make all the difference. Things like a favourites button make a big difference to repeat orders/visits, it's a simple thing to do, but so many sites don't do it.

The other interesting thing is to note the average buying pattern. Many people probably give up on keywords because they don't get instant gratification. If you use your metrics you can often find that a buying "cycle" might be 8 days, 3 months, and by using cookie tracking this is relatively easy to establish.

I've gone off at a tangent, what was the question again??

PD: Tangents are most welcome. Encouraged, in fact. However, we'll leave it there for this week. Part four..

 

 

 

 

 


 

 

 

 

   

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