Each time someone executes a search, they’re asking a question.

They search because they want to learn about something. Or find out where something is. Or discover who has it or knows about it.

They may just be curious, or the question may have been provoked by some urgent problem.

The question could be simple or complex and the searcher might be sophisticated or incredibly naive.

Search Engines answer questions. That’s pretty much all they do.

Search results offer an ordered list of answers to the question the search engine thinks you’re asking.

Paid search advertising is your chance to raise your hand and let the searcher know that you think you have the answer to their question too.

In the next post we’ll discuss what it means to the organization of your campaigns to think of yourself as a professional answer provider.

This post is part of a series on High Resolution PPC, a framework for understanding and managing paid search advertising.

Target, Value, Satisfy, Understand. That’s the mantra of High Resolution PPC.

The idea is to stop thinking about mechanical components like keywords and bids, and instead focus on a logical marketing progression.

We want the tools to support our work process instead of having to build a work process that serves the tools.

The First Step is Targeting

Targeting means showing your ads to the right people. Paid search ads are delivered as answers to questions. People type in a search query and you pay for the privilege of having your ad be one potential answer to that question.

So you must know:

• What questions do you want to answer?
• What answers do you plan on giving to those questions.

Campaigns, Ad-Groups, and Keywords are your targeting tools.

Keep in mind that they’re called ad-groups, not keyword-groups. The goal is to segregate keywords, controlled using the match-type option, so that all the queries attracted by a single ad-group are questions answered by the text-ads in the ad-group.

In other words, you want every searcher to see a a text-ad that is directly relevant to their search. To do that, you must organize your ad-groups around the search queries they attract, not the keywords they contain. Every search query that causes your text ads to be displayed, should be highly relevant to the text ad that is displayed.

Let’s illustrate with an example.

Supposed you knew that all of the following search queries would be coming into your account, and you could hand match them to appropriate text-ads before the results page was delivered to the searcher.

• Discount Dyson Vacuum
• Dyson Vacuum Features
• Dyson Vacuum Coupons
• Compare Dyson Vacuums
• Cheap Dyson Vacuum
• Dyson Extra Cyclone

Wouldn’t you want the 3 price-related queries to get a price focused text ad, and the three feature related queries to get a feature-related text ad? Doesn’t it make sense that this would produce the highest click-through-rates and the highest ROI?

Yes, of course.

This is why you have to think about queries not just keywords, and use ad-groups to target the groups of people you want to talk to.

The Second Step is Valuing

Once we’ve targeted the right people using different ad-groups, we can then look inside the ad-group and take advantage of the fact that we don’t have to place the same value on everyone in that group.

Match-Types, Negative Keywords, and Bids are some the core valuing tools.

Extending our previous example, suppose experience tells us that people who search for ‘Cheap Dyson Vacuum’ just don’t buy from us (we’re not that cheap). That has no value, so we add ‘cheap’ or ‘cheap dyson vacuum’ as a negative. But ‘Dyson Extra Cyclone’ is a very specific feature so people who search on that are far into the buying process, we see that query frequently with a high conversion rate. Make that an exact match and bid it up.

You get the idea. By correctly using these tools, watching our search queries and continually refining our campaigns, we can group queries within an ad-group, value them appropriately, and manage both budgets and returns.

The Third Step is Satisfying

People decide how well our paid search advertising does. They decide how to formulate queries which trigger our ads (or not) and they click (or don’t) and buy (or not).

Text-Ads, Landing Pages, and ultimately your offers, website, and checkout process are your satisfaction tools.

When we’re targeting accurately, and valuing properly, we have the ability to focus on satisfying those who see our ads and visit our site. Trying to do so before we’ve completed these steps means, by definition, that we’ve got too wide a range of people coming to really have a fair shot at measuring the results of any attempts at improvement.

There is little doubt that text-ad writing, let alone testing, is the paid search option that gets the least attention and effort as compared to its importance and potential impact. Rewriting a text ad and doubling performance - in terms of CTR which even if it does not improve conversion rate can proportionally increase revenue - is common. We’ve seen many ad re-writes produce 10x-20x CTR improvements. Try that with a better bid.

But writing is hard. Writing is subjective. Writing takes quite a lot of time. None of these make it less important.

All the same is true-er for landing pages, website experiences, and shopping carts. This all very hard, time consuming, and costly work. But it is ultimately directly responsible for the success or lack thereof of paid search campaigns. Even within whatever limitations exist, it should be considered, managed, and measured.

The Final Step is Understanding

Even in this greatly summarized view of the paid search process, there are a lot of moving parts. Each exists by the hundreds, thousands, or hundreds-of-thousands in typical campaigns. They occur tens-of-thousands of times every day as impression and click counts increment. And we have weeks and months of history for all of this to consider and trend.

Paid search can only be managed effectively if you can learn from this data - look into it and find information.

Website and Search Analytics are your tools for understanding.

This means knowing which metrics are important. And when trends are really trends. And how all the numbers affect each other.

It also means that you need the ability to get at the data that can inform you, and easily produce the reports and dashboards that will do so for both you and your colleages or managers.

The key is continuous improvement. Paid search campaigns are never perfect. And they exist in highly dynamic environments. Only through hard work to understand the campaign and know the best move to make next to improve it can you really drive great results.

Summary

The shift into the T-V-S-U mindset is a big one. It changes the process of managing paid search and the way you think about and use the options and tools the search engines provide. More importantly, it aligns your search and marketing goals, and makes it easier to prioritize your PPC efforts and measure your results along the way.

In future posts we’ll dig into each stage and step of this process in more detail. Have questions before then? I’d love to hear them, or your comments.

This post is part of a series on High Resolution PPC, a framework for understanding and managing paid search advertising.

What one piece of advice would I give to help improve a paid search campaign?

That was a question asked of our panel as SES in San Jose last week.

My answer: Make sure your brand keywords are fully segregated from all others.

Brand keywords - any keyword with your company name or variations in them - have completely different cost and performance characteristics than category or other other generic or product specific keywords.

These differences completely confuse the reporting for any campaigns and Ad-Groups if they’re co-mingled.

Separating Keywords and Queries
The first step is easy - every keyword you buy, regardless of its Match Type, should be in an Ad-Group if not a Campaign with only other keywords that contain the Brand name too.

Preferably, the brand terms are bucketed, with the ‘Pure’ Brand keywords in one group (those that represent just the name and variations itself), the navigational versions in another (www.brand.com, brand homepage, etc.) and the Brand-Plus keywords (Brand Sweatpants, Brand Coupons, etc.) in yet another, and so on.

In these brand focused Ad-Groups, you have to use Broad and Advanced match very sparingly and carefully, and eventually almost entirely eliminate them. If you leave them, you’ll get too many non-brand queries matching and diluting the intent of these highly focused Ad-Groups.

The other side of this Broad/Advanced Match coin is that you’ll also want to add your brand as a negative in all the remaining non-branded Campaigns and Ad-Groups. Otherwise the engines will match brand-inclusive queries against your non-brand targeted keywords.

This can be and feel dangerous, if you’re not completely sure that your Brand campaigns are complete, bid properly, running the full range of Match-Types (with of course the Match Type Keyword Traps fully configured and loaded.)

It’s probably a good idea to skip this step of adding the brand as negatives in the non-branded campaigns for a few days to ensure that there aren’t certain query formulations that your new Brand targeted Campaigns are missing.

Watch the query reports carefully, and add variations to the brand campaigns, and ultimately more negatives to both the brand the non-brand campaigns.

The Payoff
Immediately upon starting this process, especially if your campaigns had brand terms and lots of broad match scattered throughout, you’ll see radical shifts in your search reports.

• You may be amazed how much revenue is coming from and and how little cost is going into your pure brand campaigns. That’s the good news.
• You may be shocked at how much money and how little revenue is coming from your now-strictly-non-brand ad-groups. That’s the bad news. Or the opportunity, depending on how you look at it.

In any case, you’ll have a new level of clarity about the performance and activity in your PPC campaigns.

Coming Up
I’ll share more thoughts on the execution of full brand segregation, and the implications of the changes it makes to your reported results, in future posts. This is another one that may take 3-4 posts to just scratch the surface of.

In the meantime, questions and comments are encouraged. Are your brand terms separated into ad-groups? Does that help you better understand the way your PPC budgets are spent? What problems have you seen trying to control brand via Match Types? Any other ideas?

How many keywords should you place in one ad-group?

It’s an age-old question for paid search marketers.Traditionally ad-groups have been considered organizing baskets for keywords. All the variations on a particular keyword, and/or all the keywords driving to a particular product or product category, are often placed into a single ad-group.

It’s common to see campaign and ad-group structures which mirror product categories and sub-categories, for example.

When the question of ‘how many’ comes up, the answer is often given as a number. I’ve never understood this. Why does the number of keywords matter?

Even the Yahoo Smart Start Guide (PDF) suggests “While there isn’t a magic number of keywords to include, you may want to start with no more than 20 - paired with two or more ads - and adjust from there.”

Consider The Text-Ads

Here’s another way to think about it. What you’re really organizing with ad-groups is text-ads, not keywords.

Each text-ad in an ad-group should be a different attempt to answer the same questions, or attract people with the same interests. It doesn’t matter how many keywords you place in an ad-group as long as the queries each of them is likely to be matched with are all appropriately served by those ads.

You’re playing Carnac, writing answers to questions that are going to come along later. The keywords you put in that ad-group are your only chance to ensure that your answers are going to be relevant to their questions.

If there are 20 keywords then there are 20. If there are 100 then there are 100.

When To Split Ad-Groups

Leaving the numbers aside, there are two smart reasons to subdivide the keywords in an ad-group. Both are based on the idea of matching your text-ads more closely to the search queries and keywords.

One is to separate keywords by subject terminology - a focus primarily on nouns - so that the specific keywords are repeated in your text-ads and on your landing pages. This is done primarily in service to the gods (or slave drivers) of quality-score.

The other is to separate keywords by qualifiers - verbs, adjectives, or other modifiers. This is done primarily to better align your text-ads with the expressed or implied intent of the users. In most cases it also brings along the quality score benefit too.

Would you want to present the same text-ad to someone looking to ‘buy a house’ as someone trying to ’sell a house’? How about someone wanting ‘bell bottom jeans’ vs one looking for ’stone washed jeans’. ‘discount headphones’ vs ‘3-driver stereo headphones’?

The more narrowly you can segment your user queries, which you control via keywords and match types, the better your click through and conversion rates will be.

Divide and Conquer

The topic of organizing campaigns is one I hope to cover extensively in the coming weeks. This post was inspired by one over at PPC Hero talking about the benefits of breaking down ad-groups.