We use cookies. You have options. Cookies help us keep the site running smoothly and inform some of our advertising, but if you’d like to make adjustments, you can visit our Cookie Notice page for more information.
We’d like to use cookies on your device. Cookies help us keep the site running smoothly and inform some of our advertising, but how we use them is entirely up to you. Accept our recommended settings or customise them to your wishes.

Free Tool To Cluster PPC Phrases Into Related AdGroups -- RKG Duck

Last week, we released RKG Duck, a Windows Clipboard Filter. I described some simple uses in an introductory video demo. I wanted to make a second video to show how write your own filters. With George's post on the limitations of AdGroups still fresh on the blog, (AdGroups as a Barrier to Success), I decided to write a RKG Duck filter which approximates AdGrouping. That is, given a list of keywords, write a filter which yields a signature which clusters similar phrases. I chose a rudimentary algorithm: for each phrase, remove stop words, stem, alphabetize, and crush into a signature. It took me just under ten minutes to code it. Here's a 90 second preview video showing the filter in action: And here's a link to the full 10 minute video. It covers installing RKG Duck, using CPAN modules, and writing the stemming AdGroup filter. Video Link: RKG Duck II: Google AdGroups And Stemming

Note: this example is a demonstration of what one can do with RKG Duck. This isn't how our firm builds AdGroups -- we don't recommend building out phrases then AdGrouping later. Rather, the right approach to build campaigns is to go through every relevant URL on the site; build out rich keywords for each URL; assign targeted copy, smart match types, and sensible initial bids; then adgroup them appropriately. As George mentioned, there's significant benefit in databasing ads in a richer taxonomy than the simple Campaign >> AdGroup >> Term hierarchy.

Join the Discussion