ClickEquations Blog

A Serious Look at Paid Search Marketing Strategies, Tactics & Tools

The Match Type Separation Rap

If you’re going to buy the same keyword multiple times with different match types assigned, how should you organize them?

Buying the same keyword more than once, with different match type settings, is an idea we like, as explained in our Match Type Keyword Trap series.

forkinroadBut this practice begs the question – should the same keyword appear more than once in the same ad group, or should you split them into different ad groups?
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Separate But Equal
In terms of the effectiveness of the keywords at their match types it doesn’t matter. Google will match them appropriately no matter where you put them.

But I favor splitting them into separate ad groups for five reasons.

  1. It’s easier to match search queries to text ads. This is the name of the game, and each keyword will attract different queries based on the different match types. So can you write better ads knowing that some of these queries will be exact, some will use the phrase, and some will be all over the broad-match-place? Probably.
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  2. Reporting is easier to digest (pt 1). If you’re a search query freak like me, and have a great tool like ClickEquations that shows you nearly every search query, it’s easier to scan the queries in an ad group to see if they’re all appropriate and uniform in content and nearly so in performance if they’re segregated by match type.
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  3. Reporting is easier to digest (pt 2). The roll-up data and averages of any ad group are only as worthwhile as the consistency of the performance of the keywords that make it up. Diverse keyword groups produce statisics-of-questionable-value (SOQV as it’s known in the trade). Broad match keywords perform very differently than exact match keywords and I don’t find it useful to see the average CTRs or CPCs or CPAs of them rolled-up together.
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  4. Quality Score should be better. By the letter of the law on QS, we want high-as-possible CTRs and tight query-keyword-adgroup-landing page relevance. Both should be slightly better with segregated ad groups – although as with all quality score details, there is no way to prove this!
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  5. Reporting is easier to produce. Google does not provide a macro to automatically tell you the match type of a keyword as part of the destination URL. This is one of the few areas where Yahoo and MSN have something Adwords does not (intentionally on the part of Google we can be sure). Therefore if you want to track, measure, report on the performance differeces of your various match types, it’s a lot easier if they’re in separate ad groups. There are other solutions, but this one is the simplest and most robust.

This is not a big deal. For many people, or even in certain situations within a campaign, repeating the keyword in a single ad group makes sense. But if and when possible, I split them out.

Note: This post was inspired by comments made on a recent PPC Rockstars with David @Szetela Podcast. These shows have become a regular part of my commute, and I recommend them highly! (Even the occasional ones when I’m an guest.)

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  • I agree on separating match types.

    Recently I have re organize our ad words account with ad words editor and it seems much cleaner.

    The most valuable tip you mentioned is Query to Keyword to Ad Group to Text Ad relevance. Because it is really all about Click through to conversion = more money.

    Still new to ClickEquations and excited to get comfortable with it.
  • Craig, I like this approach but a couple things come to mind. First, if you're attempting to use "tiered" bid prices as part of a keyword trap, having 2-3 match types in the same ad group makes it easier to see that bid hierarchy at a glance. By separating them into separate ad groups it gets more difficult to keep an eye on those match type bids relative to each other.

    I should note that this is partly a tool issue, if you're limited to Adwords Editor. Maybe this is moot in ClickEquations. With AE you just have to do a little extra work in the way you organize, filter and sort the data to be able to see match type comparisons across multiple ad groups.

    This is all based on the assumption that one would want to at least attempt to use tiered bids to help shape the keyword trap. Maybe though, if the ultimate goal is to normalize each match type, maybe it doesn't matter so much if that bid "hierarchy" starts to fall by the wayside in favor of individual match type performance. As you noted earlier, match type by itself "should" work anyway, with some exceptions.

    Some of this is purely academic as I'm still in the early stages of testing some of these ideas. It does make sense though that if QS is so important, and CTR a big factor in QS, splitting match types into separate ad groups may be worth the gains. Huge pain in the butt though!
  • Jim: The tiered bids are/were only slightly to make 'the trap' work, because google will/should automatically always match exact before phrase before broad. They don't always but they've said this is how it works. (this is one of the points in the original post I haev to go back and clarify). The tiered bids should be driven by the ROI differences - the exact should justify higher bids than phrase and so on. Having worked this way with separate groups for a long time, it's not an issue I've found, and some may be due to ClickEquations but I've worked it a lot in Adwords Editor too. Having said that, a meta-roll up for different ad-groups so it's really easy to visually recombine them for reports is on our product roadmap. Thanks for your comment!
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