Chasing Down The Bogus Leads

These are some of the keywords that led you to this page. This is something any online communication manager or web strategist learns first. But what's often overlooked is the importance of knowing which keywords to avoid to keep unwanted traffic away.

The subject of this article is keywords search relevancy. Most online communicators understand search relevancy as how a search engine determines whether a Web page or site is important for a particular search query. But I'm looking at it from an online business perspective.

These days, with the numerous online tools available, most business websites can quickly figure out the basic set of keywords that will drive traffic towards them. Once regular traffic has been established, the next step is in ensuring that a higher percentage of traffic results in sales. This means focusing on the quality of your traffic, rather than quantity.

As always, the first step is measurement. Which of your keywords are resulting in sales and which are not? Most good web analytical tools will tell you this, once you've set your conversion goals. But they won't tell you what percentage of each keyword is bringing in people who have no interest in your product or offering.

For example, if you're selling the Volkswagen Beetle, you may be driving a large number of naturalists to your site, who may be more than happy to fill a form for a free-test drive. But as a target they are unlikely, if ever to make a purchase. And if you're paying for every naturalist who clicks on your Beetle ad, that's just money down the drain. This gets further compounded when multiple teams are involved in following each lead up.

You will therefore need to track backwards (from your sales team, registration page or whatever your conversion goal), every bogus lead based on the keyword search. And then identify which keywords are resulting in the highest misses.

This is basically the opposite of lead conversion. By tracing bogus conversions and knowing which keywords are resulting in high misses, you can then take action.

Unfortunately, once you find the problem there's really no single way to solve it. It's often a combination of trial, error, fine-tuning and getting specific with negative keywords.

f you know of another way, do let me know.