Google AdWords gives pay per click advertisers a wealth of tools to create, test and optimise highly-targeted pay per click (PPC) campaigns. One of the methods of doing so is through match type: exact, phrase and broad.

While exact and phrase match keywords are generally more controllable than broad match keywords, broad match can open up your business to a significant number of additional customers – those who might otherwise have been missed if only exact and phrase match keywords were used.

As we consider the pros and cons of each match type, we find that a balance is therefore required between the extra visitors broad match can deliver, and the quality of those extra visitors. In trying to find that balance, we consider a technique called the Broad Match Generator, which uses broad match search queries to generate new exact, phrase and negative keywords. We see how the methodical process of regularly analysing  search query data, to continually expand keyword lists and ad text relevancy (Broad Match Generation), can help take advantage of the opportunities of broad match while still delivering a strong return on investment.

Exact & Phrase Match

Exact and phrase match keywords are typically the most favourable for search marketers, as they allow a high degree of control over the words a searcher has to make in order for their ads to be shown. If your campaign contained the exact match keyword ‘flights to Melbourne’, for example, you can be 100% sure your ad would only appear when someone searches for ‘flights to Melbourne’ exactly.

Phrase match also gives you a high degree of control, and ensures that the words ‘flights to Melbourne’ must be included somewhere in the user’s search phrase. You can therefore be 100% sure you will only receive traffic from searches which include the phrase ‘flights to Melbourne’, such as ‘cheap flights to Melbourne’, ‘flights to Melbourne from Hong Kong’ or ‘low cost flights to Melbourne from China’.

So with exact and phrase match, you have a high degree of control over the search words which will trigger your ads. You can ensure your ads will only be shown on Google for highly-relevant potential customers.

Broad Match

Broad match, however, is not so controllable. Bid for the broad match keyword ‘flights to Melbourne’, for example, and you ads could be shown when someone searches for ‘flights from London to Melbourne’, ‘Melbourne flying club’ or ‘Australian travel deals’. Basically any search term Google believes is somewhat relevant to the keyword ‘flights to Melbourne’.

Not very controllable, you might think, and you’d be right. Why would you risk receiving visitors from people looking for ‘Melbourne flying lessons’, when you can be 100% sure what you’re getting by using exact and phrase matching?

Traffic, stupid!

Broad match isn’t all bad. In fact, it can be incredibly useful. According to Udi Manber, Google’s VP of engineering, 20-25% of search queries each day have never been made before, making it almost impossible to target every potential customer using just exact and phrase match keywords.

No amount of keyword research can predict that someone might search for phrases such as ‘flight prices March 2011 Tokyo to Melbourne’, ‘airlines Melbourne business class from NZ’ or ‘flights around the world via Melbourne’. Broad match can help deliver thousands of additional highly-targeted potential customers, who would otherwise have been missed if only exact and phrase match keywords were used.

So broad match allows you to receive high-quality visitors from search terms you may have missed during your initial keyword research.

But the problem of broad match still remains. Broad match can still send you visitors from hundreds of irrelevant terms such as ‘Melbourne flying lessons’. What a waste of money.

A balance is therefore needed between the benefit of extra visitors from broad match keywords, and the relevancy of those extra visitors. Introducing the Broad Match Generator…

The Broad Match Generator

Since exact and phrase match keywords provide the highest level of control, and allow advertisers to display highly-targeted ads, exact and phrase match searches should account for the bulk of clicks in a paid search campaign. Broad match should only be used as a catch all, to pick up those specific, seasonal and somewhat abstract long-tail searches which were not added as exact or phrase match keywords during your initial keyword research, and as a tool to generate new exact, phrase and negative match keywords.

To see how this Broad Match Generator would work, let’s first look at an example of an excellent user journey.

Example 1 – Exact Match Keyword in Account

Suppose someone searched for ‘flights to Italy from Melbourne’. Also suppose ‘flights to Italy from Melbourne’ exists as an exact match keyword in your Google AdWords account. So when a search is made, your exact match keyword ‘flights to Italy from Melbourne’ is triggered. Not only that, but since the keyword has its own ad group with its own tailored ads, your ad which appears will be highly-relevant and mention the words ‘flights’, ‘Melbourne’ and ‘Italy’, as well as current pricings for the trip. The visitor is then taken through to a landing page which shows details of flights to Italy from Melbourne.

Highly relevant, highly engaging, and likely to result in high click through rate (CTR), high Quality Score, low cost per click prices (CPCs), low bounce rate, high conversion rate and higher return on investment. Fantastic!

Example 2 – Exact Match Keyword not in Account (and search is relevant)

Now let’s see what would happen if a search is matched to one of your broad keywords.

Suppose the search is ‘flights Christmas 2010 to Melbourne’, and ‘flights Christmas 2010 to Melbourne’ is not is your Google AdWords account as an exact match keyword (ignore phrase match for the moment). The search is then matched to your broad keyword ‘Melbourne flights’, and the generic ad for ‘Melbourne flights’ is triggered. The visitor is then taken through to a generic landing page.

Somewhat relevant, you might think, but far from perfect. The searcher explicitly stated they were looking for flights at Christmas 2010, so why not show ads which better answers their question?

This is where the Generator comes in.

For any broad-matched search query, first decide if it is relevant. If it is relevant, then add the search as a new exact and phrase match keyword and give the keywords its own highly-targeted ads in its own ad group.

So the next time someone searches for ‘flights Christmas 2010 to Melbourne’, your ad which will appear will mention the words ‘flights’, ‘Christmas’, ’2010′ and ‘Melbourne’, and take visitors directly through to a Christmas 2010 Melbourne flight page.

Higher click through rate (CTR), higher Quality Score, lower cost per click prices (CPCs), lower bounce rate, higher conversion rate and higher return on investment.

Example 3 – Exact Match Keyword not in Account (and search is not relevant)

But what if the search query is not relevant, such as ‘Melbourne flying lessons’?

Again, this is easy. When you find a search query which is not relevant to your business, add it (and similar irrelevant searches such as ‘instructor’, ‘jobs’ and ‘careers’) as a negative keyword, to prevent it (and similar irrelevant searches) from triggering your ads again in the future.

The result will be reduced wastage, lower bounce rate, higher conversion rate and higher return on investment.

Two Simple Steps to Ultimate Broad Match Generation

The Broad Match Generation process is very simple. On a regular basis, simply look at each of the search queries that have matched to your broad-match keywords, and make one of two improvements:

1. If the broad-match search query is relevant, add the search query as exact and phrase match keywords in their own ad group, with their own tailored ads.
2. If the broad-match search query is not relevant, add the search query as a negative keyword.

Remember, even as you add new exact, phrase and negative keywords, your broad match keywords will continue to match to more and more search terms, so Broad Match Generation is an ongoing process. However, as you increase your number of exact and phrase match keywords, you should see broad match accounting for fewer and fewer of your visitors. A higher proportion of visitors coming through exact and phrase match keywords means you’re more in control of the types of visitors coming to your site and the ads they are shown, and is a sign that your Broad Match Generation is working.

If the Broad Match Generator is carried out regularly, broad match can be extremely effective in helping to target your ads to an increasing number of highly-qualified searchers, while at the same time reducing wastage from irrelevant and wasteful searches.

Broad match should never be used as a long-term ‘set and forget’ keyword targeting strategy; instead, it should only be used to generate new exact, phrase and negative match keywords, and improve the relevancy of your ads. It should only be used as a means to an end – that end being more exact, phrase and negative keywords and better relevancy.

Broad match keywords, left alone, should never be a long-term solution.

Opportunities

As we have seen, ongoing Broad Match Generation is a great way to make use of the extra traffic available through broad match, while at the same time providing a simple and practical means to continually improve the quality of your Google AdWords campaigns. It can help you uncover new seasonal trends and long-tail opportunities (such as ‘Christmas flights to Melbourne’ and ‘flight and hotel packages Melbourne Cup 2011′), and provide you with a great opportunity to provide highly-relevant ads, tailored to these new search terms.

What’s more, since there will also be some difference between your phrase match keywords and the search queries being matched to them, phrase match also presents another great opportunity for similar ongoing refinement. Looking at the searches being matched to your phrase match keywords, and adding new exact, phrase and negative keywords, as well as new tailored ads, can help take your Google AdWords campaigns even further.

And although Google’s recently-announced broad match modifier will help to give you more control over the types of searches being matched to your broad match keywords, ongoing Broad Match Generation will still be an incredibly powerful strategy – not only to help expand your list of long-tail keywords, but also to identify seasonal keywords trends and improve the relevancy of your ads.

Broad Match Generation provides a practical means to continually provide ever more specific and relevant ads to help better cater for the growing demands of searchers and better connect with your target audience. Use it to your advantage and watch how your return on investment from Google AdWords improves.

I recently stumbled across a Google AdWords video by Derek Faylor describing how to boost AdWords relevancy. He suggests picking one keyword that is core to your business, setting it to exact match and giving the keyword its own ad group with its own tailored ads. The idea is this: if your ads closely match your keywords, you will be seen by Google as being highly relevant, so your Quality Score will increase. This will lead to a higher ad rankings, higher click-though rates (CTR) and lower costs per click (CPC).

It makes sense, and I completely agree that a highly relevant approach such as that outlined by Derek is essential to achieve great results in paid search.

However, although Derek emphasises that his one keyword per ad group strategy should only be applied to one keyword which is core to your business, there will rarely be a case where a business will only want to advertise on a single keyword. There will likely be hundreds of possible phrases that will be highly relevant to a business, and having a portfolio of hundreds, even thousands, of long-tail keywords (instead of just bidding on one or two highly generic short-tail keywords) will often achieve better results.

So is Derek’s strategy of one keyword per ad group practical if applied on a larger scale?

Let’s have a look at the pros and cons.

Advantages

1. Highly Relevant

Having one keyword per ad group makes it possible to write ads which very closely match the keyword. If the ad group contained only the keyword “brown leather shoes”, the ad could include the words “brown”, “leather” and “shoes”, possibly with prices of brown leather shoes, and take users through to the brown leather shoes landing page. However, if the ad group contained the keywords “brown leather shoes”, “blue suede shoes” and “red wellington boots”, at best, a generic “shoes” ad could be shown. Having very different keywords in the same ad group makes it impossible to create a highly relevant PPC campaign.

2. High Quality Score

As previously pointed out, having one keyword per ad group would likely achieve high Quality Scores, high CTR and strong ad rankings. Conversion rates are also likely to benefit, as highly relevant ad text will make users more pre-qualified before clicking.

3. Easy to Optimise Ads for Quality Score

If you notice Quality Score for one of your keywords is low, having one keyword per ad group makes it is relatively easy to identify which keyword / ad combination is performing poorly and make appropriate changes to improve its Quality Score.

Disadvantages

1. Unnecessary

Having every one of your keywords in its own ad group is unnecessary. If you have two keywords, “blue suede shoes” and “suede shoes blue”, what benefit is there of having each of those keywords in a separate ad group? The keywords are so similar, so you could not possibly write a more relevant ad for one if it were in its own ad group.

2. Unmanageable

Imagine a Google AdWords ad group with 2,000 keywords. If each had its own ad group, that would mean 2,000 ad groups. Imagine how difficult it would be to manage 2,000 ad groups, most of which would fail to see a single click. Since many of the keywords would be so similar, the same ads would likely be used across multiple ad groups. There would be a lot of duplication of ads and it would take forever to download reports or update changes. Quite simply, your AdWords account would become incredibly time-consuming and frustrating to manage.

3. Diluted Ad Text Performance Data

If each keyword had its own ad group, impression and click data for ads would be diluted over a greater number of ad groups, making analysis and optimisation of ads difficult and less meaningful. If , however, 10 of your very similar keywords were grouped together in one ad group, impression and click data for those 10 keywords would be aggregated for the ad group’s ads, making it easier to spot which ads are performing well and which need changing.

Balance

Although having one keyword per ad group would be nice in a perfect world, considering that there are potentially thousands of keywords that could be relevant to your business, having one keyword per ad group is taking paid search to an unmanageable level. While having one keyword per ad group is one extreme of paid search management, putting all of your keywords in one ad group is the other. The best results in paid search are achieved from a balanced approach, somewhere in between the two extremes.

So don’t just separate out keywords into their own ad groups for the sake of it. Your account will soon become unmanageable and you’ll dilute your ad text data. Instead, group very similar keywords together, even if they are broad matched. As long as your keywords are very similar, 5-20 keywords per ad group is fine. I regularly achieve Quality Scores of 9 and 10 using this approach. The key is to make sure the keywords in each of your ad groups are very similar, and that your ads are highly relevant to the ad group’s keywords.

Start with maybe 10 closely related keywords in each ad group. Once you have some data collected, use the 10% Clicks Rule to decide which of your ad groups and keywords could benefit from being split out and given their own tailored ads. It will keep your time and effort focused only on the parts of your campaign which deserve your time and effort.

As with most things in life, it’s about finding a balance. As you continually strive to improve the relevancy of your keywords and ads, make sure the strategy you are adopting is achievable and sustainable. If you put all your keywords in the one ad group, you’ll receive a poor Quality Score as users fail to engage with your ads. If you over complicate your keyword / ad group structure, you’ll end up creating a bloated paid search account and start to lose focus of your long-term goals. Find a balance that works for you.

Rule of Thumb

So unfortunatley there isn’t really a rule for the number of keywords an ad group should contain. There isn’t a ‘best’ number of keywords you should aim to have in each ad group. It’s about finding what works best for your business, for your products or services, for your set of keywords. But if you ever find yourself unsure whether a keyword should be split out into its own ad group, ask yourself this:

A keyword should only be give its own ad group if you think you could write a more relevant ad (or show a more relevant landing page) for that keyword if it were in its own ad group.

Thanks for reading. Comments and suggestions welcome.

Welcome to the final part of the Clicks Rule special.

You may remember the 10% Clicks Rule is a technique to help identify the areas of your Google AdWords account which could benefit most from your time and effort (if not, you may want track back to Part 1: Overview and Part 2: Process).

What I want to do now is evaluate the rule using a real AdWords campaign data to assess its viability. Does it work? Does it help PPC management? Does it actually help improve results? Is 10% the right figure?

Example

Let’s start with the example I worked through in Part 2: Process.

As you may remember, we identified the ad groups which were receiving a large percentage of total broad and phrase-match clicks. In the example I used, 4 ad groups received at least 10% of broad and phrase clicks.I then suggested looking at the search queries for these ad groups.This gave me some great insight. Although search queries 54, 183, 55, 56 and 150 were relevant to my products and services, they were being broad matched to ad groups which were not relevant. Looking down the list, I found many similar examples of relevant searches being matched irrelevantly.

So I decided to create 16 new ad groups with 288 new keywords. Doing so gave me ideas of other new types of keywords, so I added them too, some in new ad groups. With these new keywords having their their own tailored ads, I could now be more sure than whenever someone searched for these search queries again, relevant ads would show.

Effects on click distribution

Let’s have a look at the before and after in terms of click distribution:

• The percentage of broad and phrase clicks going to ad group 17 fell from 22.8% to 12.4%
• The percentage of broad and phrase clicks going to ad group 27 fell from 15.8% to 11.3%
• Ad groups 30 and 26 dropped out of the top 5
• Ad group 36 (one of the new ad groups I added with new keyword ideas) moved into the top spot
• The number of ad groups receiving at least 10% of broad and phrase clicks fell from 4 last month to 3 this month
• The amount of broad and phrase clicks going to top 5 ads groups fell from 69% last month to 59% this month

(A more comprehensive comparison of ad group click percentages for both months can be found here).

So although most of last month’s ad groups are receiving a smaller share of broad and phrase clicks, one ad group (36) is now receiving more.

Not ideal, but it’s a step in the right direction. Next month, the search queries for ad group 36 can be analysed and split out into separate ad groups. If we repeat the process a few more times, what we’ll hopefully see is the broad and phrase click distribution spread over a greater number of ad groups.

Effects on actual results

Now let’s look at how overall AdWords results have changed:

• CTR increased by 22.5%
• Click volume increased by 43.2%
• CPCs stayed relatively constant (variation of $0.01)
• Average position of ads rose by 0.6
• Quality Score (weighted average) increased from 7.62 to 7.98
• Conversion rate increased by 33.8%

It seems like the improved ad group granularity, better tailoring of ads and 288 new keywords had a positive effect on CTR, Quality Score and conversion rate. Click volume also rose significantly for the same average CPC.

So great results all round.

More examples

We’ve only looked at one example so far. Let’s repeat the process for few more campaigns to see how the 10% Clicks Rule works on other campaigns.

Highlighted in red are the ad groups which are over 10% and could benefit from some insight.In examples 2 and 3, just looking at the search queries for these highlighted ad groups I found over 300 new keywords that could be added. Most were relevant to my products and services but were being matched irrelevantly.

Although examples 4 and 5 had fewer ad groups over 10%, just looking at the top ad groups helped me uncover some unnecessary broad-matching, suggesting maybe a ‘top 5 rule’ would be better to keep it relative.

Although no before and after results are yet available for these campaigns, it would be interesting to see how CTR, Quality Score and conversion rate improve over time with these ad group improvements.

Conclusions

So what can we conclude from all of this?

• The 10% Clicks Rule made it easy to identify ad groups where time and effort should be focused
• There is evidence to suggest he 10% Clicks Rule successfully helped spread the share of broad and phrase clicks across a greater number of ad groups
• There is evidence to suggest the 10% Clicks Rule helped significantly increase CTR, click volume, average position, Quality Score and conversion rate while keeping CPCs constant

So…if you are worried that too much of your traffic is being broad or phrase-matched, or worried that you are losing control over where your ads are being show, or just want to improve CTR, click volume and conversion rate, this technique could be for you.

I’m convinced of it’s use in helping to improve AdWords campaigns. I use it regularly and it really does help to quickly and easily get to the heart of broad and phrase matching. It saves sifting through mountains of data and becoming overwhelmed with analysis paralysis. That’s just me though – if you’ve tried it out for yourself and have any suggestions, good or bad, I’d love to hear your comments.

Happy optimising!

Welcome to part 2 of the Clicks Rule special.

You may be familiar with a technique I shared in recent post called the 10% Clicks Rule (if not, you may want to come back once you’ve skimmed through Part 1: Overview). In essence, the 10% Clicks Rule is a technique that aims to improve the relevancy of ads for search queries which have broad or phrase-matched to one of you keywords. Since it is impractical to give every possible keyword or search query its own ad group with personalised ads, the 10% Clicks Rule helps to identify those ad groups which are most likely to benefit from your time and effort.

Part 1 was all theory. What I want to do now is provide a step-by-step guide explaining how to identify those ad groups in your own AdWords account which could greatly benefit from your insight. All we’re trying to do here is run a Google AdWords search query report at ad group level, filter out exact match keywords (to leave broad and phrase match only) and highlight those ad groups with more than 10% of broad and phrase clicks. These are the ad groups we want to look at. So if you’re a seasoned AdWords and Excel pro, feel free to skim through the bullets or jump ahead to Part 3: Does it Work?. For everyone else who might need a little more guidance, continue reading for a detailed step-by-step guide.

Download a search query report

• Log in to Google AdWords, go to the Report Centre and click ‘create a new report’
• Click ‘Search Query Performance’
• Select ‘ad group’ as the level of detail, ‘summary’ as the unit of time
• Select an appropriate date range
• Click ‘create report’, open it once it completes and export it to Excel

Pivot the data

Once we have the search query report in front of us, we want to summarise clicks by ad group.

• Delete anything above the campaigns/ad group/search query row so ‘campaigns’ is in cell A1
• Scroll to the bottom and delete the ‘totals and overall averages’ row
• Select all data and headings
• Go to Insert, click ‘PivotTable’, the ‘OK’
• This should create a new sheet

Calculate clicks by ad group

Next we want to filter out exact match clicks and calculate each ad group’s broad and phrase match click volume.

• Make sure you can see the ‘PivotTable Field List’ toolbar on the right-hand side (if you can’t, try clicking on the blank PivotTable or go to Options > Field List) – your sheet should now look like this
• Drag ‘ad group’ into the ‘row labels’ box – this should list all your ad groups in column 1
• Drag ‘clicks’ into the ‘values’ box and ensure it says ‘sum of clicks’ – this should show click totals in column 2
• Drag ‘Search Query Match Type’ into the ‘report filter’ box which should add a drop-down filter in cells A1 and A2 – your field list should now look like this
• Click the drop-down filter, click ‘select multiple items’ and ensure only broad, broad (session based) and phrase  are ticked – like this

Calculate percentages by ad group

You should now have a list of ad groups with totals of their broad and phrase clicks. Let’s now calculate each ad group’s percentage of total broad and phrase clicks.

• Scroll to the bottom and make a note of the ‘grand total’ number of broad and phrase clicks
• Click anywhere on the PivotTable to ensure it’s selected and click Options > Formulas > Calculated Field on the toolbar
• Type “Percentage” as the name
• Type “= Clicks / total_clicks” into the Formula box, where ‘total_clicks’ is your grand total of broad and phrase clicks you made a note of earlier
• Click OK – this should add a new column with each ad group’s percentage
• Ensure the ‘grand total’ of this new column equals 1
• Change the formatting so that each number reads as a percentage

Highlight high-volume ad groups

Now that we have percentages calculated for each ad group, make a note of those ad groups…

• Right-click anywhere in column 3, go to ‘Sort’ and select ‘Sort Largest to Smallest’
• Make a note of ad groups with more than 10% of clicks

These are the ad groups with a lot of broad-matching and phrase-matching going on. These are the ad groups that could benefit with your time and effort.

The fun part

You’ve now got everything you need to start make powerful changes to you AdWords account. You can stop here and use your own intuition to make improvements to these ad groups, or continue reading for some ideas and suggestions on what to do next.

Search query analysis

• Go back to your original search query report sheet so you can see all your search queries
• In the ‘ad group’ column, filter so that only the ad groups you made a note of earlier are ticked
• In the ‘Search Query Match Type’ column, filter so that only broad, broad (session) and phrase are ticked
• Sort the clicks largest to smallest

Your search query report should look something like this.

Take a moment to familiarise yourself with your search queries. People are typing these searches to find your products or services. You need to decide what action to take. For each of your search queries, you could either:

1. Add it as a negative keyword (if it’s not relevant)
2. Add it as a new keyword in its own ad group (if ads in that ad group are relevant)
3. Add it as a new keywords in a new ad group (if ads in that ad group are not relevant and new ads are needed)

First decide if any of the search queries are irrelevant to your business (option 1). Make a note of any irrelevant searches in a separate Excel sheet – you can add them as negative keywords later.

Great. Let’s now assume that all remaining searches are relevant to your business. You now need to decide between options 2 and 3 – whether to add the search query as a new keyword in that ad group, or in a new ad group.

To decide whether option 2 or 3 would work best, have a look at the ‘ad group’ column for the search query. It is this ad group the search query is being matched to. Open up AdWords Editor and now find that ad group. Look at the ads. These ads are being shown whenever someone searches for the search query. Are they relevant? Do they mention the search query in the heading or descriptions? Could they be improved in any way to increase relevancy, Quality Score, CTR and conversion rate?

If you think the ads are relevant to the search query, add the search as a new keyword to that ad group (option 2). If you think you could write better, more relevant ads for the search query, add the search query as a new keyword in a new ad group and write better ads for it (option 3).

Great rule, but does it work?

Hopefully if you’ve made it this far you’ve managed to have a go yourself and found some juicy ways to improve your AdWords campaign. While I hope you found it simple and straightforward to follow, feel free to share your thoughts and comments.

In the final part of the Clicks Rule trilogy, I look at real AdWords examples and explore how it can actually help improve results of AdWords campaigns. Part 3: Does It Work?

Welcome to the first of a 3-part Clicks Rule special.

Here’s the theory

No more than 10% of total broad and phrase clicks in your Google AdWords account should come from a single ad group. If more than 10% of your total broad and phrase clicks comes from a single ad group, the keywords in that ad group are being over broad-matched or over phrase-matched. Too many searches are going to that ad group’s broad and phrase-match keywords, so the ad group could benefit from keyword expansion and search query analysis.

Example

Suppose you found an ad group which accounted for 18% of your total broad and phrase clicks. This ad group is a prime candidate for improvement for two reasons:

1. Ad group expansion

High-volume ad groups are perfect for ad group expansion.

Spitting out the ad group’s keywords into separate ad groups allows you to write more tailored ads for each keyword. Tailored ads are likely to have a beneficial effect on click-through rate (CTR), Quality Score, costs per click (CPC), ad ranking and conversion rate.

Since it is impractical for every keyword to have it’s own ad group (imagine how tedious and time-consuming 10,000 keywords and 10,000 ad groups would be!), the 10% rule highlights the ad groups and keywords that are likely to benefit most from being split out and having their own tailored ads.

2. Search query analysis

High-volume ad groups are also perfect for search query analysis.

Search queries are what people actually type into Google before they click on one of your ads. Running a search query report for the whole AdWords account allows to to assess whether each of your search queries are relevant to your business, and adding them as negative keywords if not.

Running a search query report at an ad group level, is even better. Not only can you decide if each search query is relevant to your business, but you can also decide if each search query sufficiently matches the ads in that ad group. If the ads in the ad group are very different to the search query, the search query could benefit from having its own ad group with its own personalised ads.

So for each broad and phrase search query you found that matches to the 18% ad group:

• If the search query is irrelevant to your business – add the search query as a negative keyword
• If the search query is very close to the ad group’s keywords and ads – add the search query as a keyword in the same ad group
• If the search query is different to the ad group’s keywords and ads and you think it could benefit by having it’s own personalised ads – add the search query as a keyword in a new ad group

Since it is impractical to look at the every ad group’s search queries, the 10% rule highlights only those ad groups which are likely to have the biggest effect for the amount of time you spend making changes.

Broad and phrase only

You may ask why look at only broad and phrase clicks? What about exact match?

Exact-match keywords give you complete control over the user’s search query. Since you can be 100% sure what the user will need to type into Google for your exact-match keyword to be triggered, you are able to write highly-targeted and personalised ads without having to worry about hundreds of different search queries triggering your exact-match keyword. It is relatively simple to look at an exact-match keyword and decide whether its ad could be made more relevant.

However, with broad and phrase match, things aren’t so simple. You could spend all day trying to write perfect ads which closely match your broad and phrase keywords, but ultimately it is up to Google what kinds of searches get matched to these ads.

For example, you could write a highly compelling ‘Cheap Sony TVs’ ad for your ‘cheap Sony TVs’ keyword. However, if the user searches for ‘Bravia 42 inch deals’ and they gets broad-matched to your ‘cheap Sony TVs’ keyword, your ‘cheap Sony TVs’ ad will appear. It will look irrelevant to the user.

A better ad would mention ‘Bravia 42 inch deals’, although this is only possible by creating a dedicated ‘Bravia 42 inch deals’ ad group. You know you can’t create a dedicated ad group for every search query, so where do you start? Where do you draw the line?

This lack of control and uncertainty with broad and phrase match can be a real problem for advertisers trying to create highly relevant campaigns. The whole point of the 10% Clicks Rule is to help regain some control, by providing a technique to help you quickly and easily get to the heart of your broad and phrase matching and make changes that are likely to have a powerful effect. It’s not meant to be a strict ‘rule’ as such, more a ‘guideline’ or ‘rule of thumb’ which I have found to work in my experience.

That’s all for part 1. Comments and suggestions welcome.

In Part 2: Process, I’ll take you through a step-by-step guide to running rule for yourself – finding those ad groups in your own Google AdWords account that could benefit from a little TLC. If you’re more interested in exactly how the 10% Clicks Rule actually works or how it can help to improve your AdWords results, skip to Part 3: Does it Work?

I’m going to focus my first post on what I believe is the most fundamental concept in PPC: relevancy. Giving users what they are looking for. Directing them to where they want to go. Answering their questions.

Why? Because paid search relevancy can pay massive dividends. Not only is a highly relevant pay per click (PPC) campaign more likely to receive a higher click-through rate (CTR), higher Quality Score, higher ad rankings, lower costs per click (CPC) and benefit from less wasted spend, but users will more qualified so bounce rates are likely to fall (the number of people who immediately ‘bounce’ back), conversion rates increase and return on investment (ROI) will ultimately improve. So a highly relevant paid search campaign is definitely a good thing.

To achieve PPC relevancy, keywords, ads and landing pages need to work together in tandem. Messages in ads need to match users’ search queries, landing pages need to match messages in ads and landing pages need to relate to users’ original searches. (For a more detailed explanation of how each component interlinks, you might like to consult Acquisio’s great article on AdWords relevancy and Quality Score).

Closely matching ads and landing pages to keywords to encourage only targeted and qualified users to visit your site is a simple theory, and one that’s been around since the dawn of Google AdWords.

So nothing new then – does that mean relevancy is no longer relevant?

Well, not exactly, for two reasons…

Impossible to achieve

Firstly, relevancy can never be achieved in its perfect form. There will always be ways a PPC advertiser can improve his keyword selection, negative keyword list, match type strategy, ad copy matching and landing page selection to give the user a more engaging and personalised experience. Just like there will never be a 10.0 film on IMDB, there will never be a perfectly relevant PPC campaign. One can only strive towards perfection – towards the Holy Grail of relevancy.

Higher expectations

Secondly, the bar of relevancy is constantly being raised. As search engine continually improve their algorithms to provide users with more relevant organic search results, so paid search ads will have to improve to keep up with the growing expectations of searchers. Ads which might have been considered ‘quite relevant’ last year may be considered ‘not so relevant’ now. Ads which sufficiently answer the questions of searchers today may not do so next year when people start to demand a more personalized and tailored service.

So not only is the Holy Grail of relevancy (a perfectly relevant campaign) impossible to achieve, but it is getting more and more impossible to achieve as we speak.

But all is not lost. No-one expects perfection, after all. Just being better than the competition can reap massive benefits for advertisers. And as I’m about to point out, getting better than the competition doesn’t need to be difficult. There are opportunities everywhere.

Opportunities

Say you’re interested in visiting Sydney and want somewhere to stay. Load up Google, search for ‘Sydney hotels’ and look at the paid search results.

Of the 10 PPC ads, 9 mention the words ‘Sydney’ and ‘hotels’. Most of the ads are calling out to the user, “I have hotels in Sydney! Come to Me!” Most of the ads are relevant to your search.

But let’s say you know a little bit more about your Sydney hotel requirements. After all, you can’t be bothered clicking through each of the hundreds of paid search results (or the 22,900,000 organic results for that matter). Come to think of it, you are interested in going to Sydney next weekend, you your refine your search query.

Search for ‘weekend breaks in Sydney’ and look at the paid search results. Although most ads mention ‘Sydney’, not a single advertiser includes the words ‘weekend’ or ‘break’ in their ads. No-one is shouting out to the user, “Yes! I have weekend breaks in Sydney! Come to me!” Every ad appear to be a generic ‘Sydney Hotel’ ad that may or may not be relevant to your weekend requirements.

Suppose, instead, when searching for ‘weekend breaks in Sydney’, you saw one of the following ads:

Suppose they took you through to a special ‘weekend break’ page, specifically designed for people looking to stay at the hotel over the weekend. Along with suggestions of local Sydney sights, activities and restaurants that could easily be fitted in over a weekend were reviews from people staying at the hotel on Friday and Saturday nights.

Would you be more likely to consider this hotel in your plans? I know I might.

More opportunities

Okay, only 36 people searched for ‘weekend breaks in Sydney’ in June. But these were 36 people who knew what they were looking for and were delivered poor, generic, one-message-fits-all ads.

‘Weekend breaks in Sydney’ is just one example. Imagine all the hundreds of similar qualified searches people could make to find your products or services. 880 people searched for ‘Sydney CBD hotels’ in June, but most advertisers fail to mention ‘CBD’ or even their location in their ads. ‘Sydney hotels the rocks’ had 390 searches, but only one advertiser mentions the phrase ‘The Rocks’ in their ads. 73 people searched for ‘3 star hotels in Sydney’ but only a handful of advertisers mention ’3 star’ or ‘3*’ in their ads. These are people who know what they want are willing to part with their cash if they can find it.

It doesn’t take long to find hundreds of other examples of keywords that have significant search volume and are being poorly served. There are opportunities everywhere.

What’s more, as demand for better search results grows, people will start making more of these 3, 4, 5 and 6-word searches and expect better, relevant, more personalised results. The winners will be the advertisers who cater for them. The losers will be the ones who don’t.

So how do I go about improving the relevancy of my AdWords campaign?

Patience

I’m not going to pretend there is a quick overnight fix (because there isn’t). A highly relevant AdWords campaign takes patience, commitment and dedication.

Nor are there techniques that work for everyone. The whole purpose of this blog is to share with you the PPC techniques I have found to work in my experience, although I recognise they will be far from the be-all-and-end-all of paid search management so I welcome your ideas and comments. Paid search is an ongoing battle to become better and better, and it isn’t going to stop any time soon.

But to keep things nice and simple, here’s a quick 5 minute run-down of the essentials of creating a highly relevant PPC campaign:

Keyword Research

Research keywords that people are searching for. There are free tools out there, such as Google’s keyword tool, so use them. Build up a comprehensive keyword list. Not just with generic, high-volume keywords, such as ‘cheap Sydney hotels’, but also with long-tail keywords such as ‘cheap hotels in Sydney CBD’ and ‘cheap hotels Sydney Darling Harbour’. Long-tails can collectively be of significant volume and provide a great opportunity for tailored ads.

Then research negative keywords, lots of them. Why waste money on clicks you know are completely irrelevant? Use the keyword tool to identify keywords that might broad match to ‘cheap Sydney hotels’. Go through each result, making a note of anything you think is irrelevant. Is your Sydney hotel miles away from Sydney Airport? If so, add ‘airport’ as a negative keyword. Keep brainstorming negatives until you have at least a hundred.

Ad Group Structure

Once you have done your initial research, group your keywords into small, closely themed ad groups of generally no more than 20-30 keywords each. Write ad descriptions that are relevant to the ad group’s keywords and include the ad group’s keywords in your ads where possible. If you think you could write a more relevant ad for a keyword if the keyword was in its own ad group, split out that keyword into its own ad group and write a more relevant and tailored ad for it.

Think of the keyword as the question and the ad as the answer. Keep asking yourself, “If I searched for this keyword and saw this ad, is it answering my question?” If not, change it so it does.

Include offers and prices that are relevant to the keyword. In your ‘Sydney Hotels Christmas 2009′ ad group, how about mentioning Christmas 2009 prices or early booking discounts?

You’re trying to make your ads as relevant as possible to the user’s searches so think about how you could angle your products or services to appeal to users searching each of your keywords.

Next, deep-link your keywords to the most relevant page on your site. Don’t have a relevant landing page for a set of keywords? Write one.

Rinse and repeat until you have hundreds of ad groups, each with tailored ads and landing pages that match the keywords they contain.

Optimization

Then get optimising. Test new keywords. New ads. New landing pages. Two keywords in the same ad group getting a lot of volume? Split the two keywords out into separate ad groups and write new ads that better match those keywords.

Run search query reports to highlight searches your keywords have broad-matched and phrase-matched to. Are they relevant? If so, ad them as new keywords in new ad groups and write tailored ads for them. If not, add them as negative keywords to prevent your ads showing for them again.

It may seem like a lot of work but it’s worth it. With patience, your CTR will start to increase. So will your Quality Score. People will start to spend longer on your site and view more pages. Returning visitors will rise as people decide to come back. Conversion rates will grow and sales volume will increase.

The Holy Grail of relevancy is not something you can achieve overnight, or achieve at all for that matter. It is only something you can strive towards. PPC success favours the dedicated. So keep testing and optimising.