Extended phrase match negatives: A screenplay for misspellings

As compensated search specialists, our strength is based on our ability to exert control over the keyword targeting. Every month or so, you will find new threats to this control. We have to be strong in battling this particular pay-per-click (PPC) kryptonite. We must develop super automation to help save the planet from bad PPC!

That is why we at Brainlabs (my company) have created another Search engines Ads script, this time to help you manage the impact of negative keywords . The task with negative keywords is getting the total amount right. Too little control, and you’ ll include budget-draining mismatches. A lot of, and you risk losing out on potential prospects. To filter traffic for high- and low-value searches, you need the ideal touch.

Getting the suspend of it takes a bit of trial and error, yet using a script to help you along doesn’ t hurt. Today, I’ meters sharing an awesome script that will enhance your phrase negative keyword matching simply by finding the ones you’ re not being able to catch due to misspellings.

Using negative keywords

Everybody knows that without the right keyword, your own ads won’ t be induced when an user enters a search expression. Unlike preplanned keywords, search terms are usually liable to all sorts of inconsistencies.

Advertising platforms like Google Ads offer different ways to match keywords to find terms: broad, broad match changer, phrase, and exact. Whichever you wish to work with, you’ ll know that thinking ahead for human error can be difficult. Fortunately, these match types can cope with close variants like misspellings, plurals,   broad match, synonyms plus related searches.

[ Read the full article on Search Engine Land .]

Opinions expressed in this article are of the guest author and not always Marketing Land. Staff authors are usually listed right here .

Regarding the Author

Daniel Gilbert could be the MD at Brainlabs , the best PPC company in the world (self-declared). He has started plus invested in a number of big data plus technology startups since leaving Search engines in 2010.

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