From the category archives:

Understanding

The Mantra of High Resolution PPC

by Craig Danuloff on September 24, 2008

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.

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Clarity Pt.3 - Missing Clicks

by Craig Danuloff on July 28, 2008

Paid Search Managers spend a lot of time analyzing clicks.

Which keywords got them? Did they convert? How much did they cost?

But how much time is spent thinking about the clicks you didn’t get? How much information do you have about those clicks anyway?

Earlier in this series I’ve discussed the idea that paid search marketers have a tough time getting a full and clear picture of what’s really going on in their accounts with the information currently provided by the engines, analytics programs, and PPC tools.

The last few posts discussed the lack of search query details as one example. Gaining insight into missing clicks is another.

Two Ways To Lose

There are two types of clicks you didn’t get. The first are those reflected in your click-through-rate; clicks that didn’t happen when your ad was shown. The count of these can be easily seen by comparing your impression count with the click count for any keyword.

The second type of missed click are those where the query was relevant (or interesting) to you but your ad wasn’t displayed. As Steve Forbert once said: (although I don’t think he was the first) you cannot win if you do not play.

Tracking Missed Impressions

Google has provided a series of Impression Share Metrics for over a year now, which provide important insights into the click missed because ad weren’t even displayed.

  • Impression Share (IS): The percentage of times your ads were shown out of the total available impressions in the market you were targeting. This metric is available at the campaign and account level for search.
  • Impression Share Exact Match. Impression Share Exact Match reports the impression share of your campaigns as if your keywords were set to ExactMatch.
  • Lost IS. Your impression share + Lost IS (Budget) + Lost IS (Rank) = 100%.
  • Lost IS (Rank): The percentage of impressions lost due to low Ad Rank (cost-per-click bid x Quality Score).
  • Lost IS (Budget): The percentage of impressions lost due to budget constraints.

These are informative and critical reports. You should always know the IS numbers for your campaigns. There are times you can accept a low Impression Share, and times when you cannot.

It’s too bad it takes a trip into the reporting environment (or setting up an email report) to get them rather than having them ‘in line’ with other reporting metrics.

More importantly, this data is only available at the Campaign level, and we could really use it at the Ad-Group level. When you have a large campaign with many Ad-Groups is very possible that some have great Impression Share and a few have lousy Impression Share (or that the reasons why the number is what it is differ between Ad-Groups) and the Campaign-level roll up is of limited use.

In a future post we’ll dig deeper into the meaning and applications of these numbers.

Tracking Missed Clicks

There is less information, ironically, delivered about the clicks you miss when your ads do appear.

There are many reasons people don’t click (see this post for a good list). Many could not be translated into paid search metrics without qualitative research. But there more information that could be shared about these lost clicks.

For example, average click-through rates and various positions are known, both in absolute and relative terms. Given your position of your ads, how many more or less clicks occurred than should have been expected at that position?

And exactly how many clicks would each higher position garner, or lower position lose? This could be predicted with some degree of accuracy.

Since text-ads have their own click-through-rates, which have a massive effect on the CTR’s of keywords, another option is to look at which text-ads were displayed and calculate the number of clicks a keyword would have received if the best of them (CTR-wise) had run all the time.

So with a little work doing some calculations around the position and text-ad running for a keyword, we could start to know what our potential keyword CTR could be, if we just improved our position performance and text-ad copy.

Not Perfectly Clear

Paid search is the pursuit of clicks. The right clicks at the right price.

A clear picture of a paid search campaign would therefore tell us a lot about the clicks we got, and the clicks we didn’t get. Google’s Impression Share is a great start – it delivers actionable information and with the sub-metrics starts to break the main one apart so we can see how different factors are contributing to the remaining click opportunity.

Impression share needs to go mainstream – into the normal dynamic Adwords reports and the API.

And a comparable level of visibility should be given to the clicks we get and don’t get once our ad has been displayed.

  • How much better could our CTR have been?
  • How many clicks were missed because we under-performed our position?
  • How many more were available at higher positions?
  • How many were missed because text-ads were under-performing? (Within the text-ad itself, was it the headline or target URL that dragged us down?).
  • Was there a specific competitor who took more share from us than another, over time?

These are just some of the things we should be able to know about our clicks.

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Paid Search Clarity - Part I

by Craig Danuloff on July 22, 2008

Yesterday I noted that paid search managers face three challenges in trying to effectively manage paid search campaigns:

  • A lack of clarity (reporting problems)
  • Difficulty defining priorities (strategic and planning problems)
  • Horrible inefficiencies (mechanical and processes problems)

I believe that these problems need to be solved in order to improve paid search management, both the profession and the results.

First you need to see what’s happening, then you’ll want to decide what needs to be done, and then you can hopefully get it done with a reasonable amount of effort.

That doesn’t sound like too much to ask.

But 4-5-6 years into explosive growth in paid search and we’re hardly out of the starting gate. Today I’ll expand on the issues regarding reporting and clarity, and in future posts dive more deeply into the problems of setting priorities and executing paid search tasks.

What Paid Search Reports Don’t Tell You

Paid search is about answering questions. People type queries and search engines return results, which are lists of possible answers to the questions they believe are being posed. I want to structure my campaigns as tightly as possible around those search queries.

Every search engine tells you how many impressions your ads had, and how many clicks you got. They have to I suppose, since the CPC is what drives your billing. What I really want to know is what did I miss? And why? Then I can set goals and define strategies or tactics (or at least design tests) to do better.

Each conversion hopefully generates more revenue than it cost to cause that conversion, which is reflected in the rather innane ROAS metric. Being impressed with a good ROAS seems akin to believing you’ve saved money by buying something you didn’t want when it was on sale. Goods or services have costs (COGS) and the only metric that matters is ROI taking account (at least) both direct-marketing and goods/services expenses.

When my clicks do generate revenues, I’d like to know which ones. Then I can make wise decisions about future investment and effort around certain keywords and queries.

Unreasonable Demands?

So I’d like to know which search queries generated which results, how many clicks I didn’t get and why, the actual amount of profit made on each transaction (and from each keyword, query, and click).

Do any of these sound unreasonable? Far-fetched? Demanding?

Yet these desires are not generally or specifically fulfilled through the paid search reporting capabilities provided by the search engines, popular web analytics software, or even specialized PPC management tools.

Surprised? The devil is certainly in the details, and some of the information defined is available in some packages/places, but generally with huge compromises and limitations that disqualifies or invalidates them as actual or sufficient information.

Really? Yes to the best of my knowledge, as the next post will review in somewhat excruciating detail. I’m happy to learn new facts or discuss this further in the comments - significant corrections will be appended to that post.

User search queries, accurate revenue & expense allocation and matching, and ROI reporting are just three of the ways that the current generation of PPC reporting generally fail paid search advertisers and managers.

The fact that these problems/limitations are seemingly not well known, frequently discussed, and therefore clammored for as improvements is one of the things that has to change to move the business/market forward.

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