Discovering your money keywords

Finding and optimizing for those keywords, that make you the most money

The goal of any SEO effort should always be to get users that behave in ways that align with your company’s business goals.
This could be a conversion such as a purchase, for e-commerce companies, or pages per visit for publishers.
Optimizing for traffic only is almost certainly not going to deliver great results.

Understanding which exact keywords are driving sales and conversions is especially important in highly competitive environments. Ever since 2011, this has become impossible until the
Keyword Hero came along.
You can now identify the organic keywords that generate the most revenue, most profit, and most conversions.

USE CASE: Finding your best-performing keywords

Analyzing the entire domain
Finding the keywords that result in the most conversions is probably the most interesting information for webmasters.
Navigate in your Google Analytics’ interface to your keywords (Acquisition > Overview > Organic Search). You can sort the table by clicking on the according title in the top of the column.
In our example, we chose the number of sales. But conversion rates and revenue are equally interesting.

The keyword that resulted in the most sales was “buy flowers”, which is also a keyword that is responsible for a large amount of traffic. Another interesting fact is that both phrases “flower bouquet” and “roses” are surprisingly often found among the highest converting keywords.
They also come with significantly increased conversion rate compared to those search phrases connected to the more generic term “flowers”.

The value of this information cannot be understated. Equipped with it, you’ll adjust your content to towards “flower bouquets” and “roses” to improve your ranking for these keywords and cater more to users searching for them.

Analyzing individual sites
In the first step, we looked at all URLs of our website. Now, we go a bit deeper in our analysis and look at the site /roses, which is one of our top revenue sites.
Add the secondary dimension “Landing Page”. You’ll find the dropdown above the table in your Google Analytics interface.
Next to the keywords, you’ll see the corresponding landing pages, which are the sites that the users landed on when they searched for a keyword.
To only see /roses, select /roses as a filter in the “advanced” option, on top of the table.

We sort the data again by the number of sales (Goal completion):

The keyword that results in the most conversions for this site is “roses”, closely followed by “buy roses”. Whereas “roses” is responsible for 78 sessions, it was only two for “buy roses”, which both resulted in conversions.
In a later step, we’ll uncover why we only had two sessions with this keyword.
With a first glance at the data, we notice two very interesting insights, that can also give us hints about how to optimize this URL:

We stumble upon two interesting insights: the power of transactional queries and bouquets are better than single flowers

1 . The power of transactional queries
Transactional search phrases that contain “buy” seem to result in significantly increased conversion rates than search phrases that are only informational (or at least not as obviously transactional): of the nine keywords that resulted in sales, two contained the “buy”.
We export the data in Excel, where we can conduct further analysis and separate all queries that resulted in a session on /roses into “transactional” and “informational” ones (the third large type are “navigational” queries but none occurred on our site):

Transactional queries result in vastly increased conversion rates compared to informational queries, in this case way more than expected. In this example, it would be very profitable to focus the SEO efforts on transactional queries.

2. Bouquets perform better than single flowers
The second important thing we notice is that the phrase “Bouquet” is very prevalent among our queries and comes with a slightly better conversion rate and a surprisingly higher order value.
Once again we use Excel to get a clearer image of the data:

Users that already know that they are looking for a flower bouquet, spend more than twice as much as those who don’t use that phrase(!!).
Equipped with this information, we would optimize our site for more revenue by catering more to those users that are explicitly looking for “bouquets”. This will result in more of this valuable traffic and in even higher conversion rates.

We can perform this kind of detailed analysis on many of our URLs and directories. It will result in sites that are even more focused on what the users want and – as a result – in more revenue.

Using different metrics in case of too little data
If there is too little conversion data available, this type of analysis is not possible or doesn’t make that much sense. In this case, you need to use different metrics:

Analytics Goals
If you’re the webmaster of an e-commerce shop but you have too little sales to analyze and make predictions about individual keywords, a great way to still gather meaningful data are the Goals in Google Analytics.
Instead of only looking at the eventual sale, we define Goals on the way there, such as “added to cart”. In most cases, this will result in >100% more data and makes it that much easier to gather significant data points.

Behavioral metrics
If there weren’t yet enough users on your site to create a meaningful number of Goals or even sales, you can use behavioral metrics such as bounce rate or time on site. They will often correlate with Goals and Sales and can deliver valuable insights about whether your users seem to find what they search for.
If you’re using behavioral metrics, even little data is enough to recognize trends for individual keywords and optimize your site accordingly.



Long-term monitoring

Monitor rank changes

Spot keyword potential

Discover money keywords

New keyword inspiration

Ideas for landing pages

Understand bounce rate

Assess keyword value

Evaluate your SEO

Get rid of (not provided)

Analyze rankings per device

Make SEA more efficient

Analyze the long tail

Discover brand keywords

Work with GA or Excel

Understand behaviour

Analyze Google updates

Minimize rank cannabilism

Evaluate your targeting