Case Study – owl KEYRA – valued insights with GRAPH for our customers

Let us take a look at a few specific case studies, from several different domains/business niche, to see, where this feature comes handy and most importantly HOW.

1 - The first case study is a newly launched site and it got only a few keywords indexed inside a search engine. The graph feature is found inside the COUNTRY tab, right next to the already existing summary overview columns.

GRAPH analysis:

1. From the existing/missing keywords graph, we understand with a glance, that it is barely present on the chosen SERP.
2. From the top 10 keywords graph, we can see already a few well-ranked keywords, meaning, that its potential is already proven.
3. From the top 25 keywords graph, we can see the same data. This means, that currently the rest of the ranked keywords is outside top 25, so their jump inside top 10 is very unlikely.

2 - The second case study is an older business, well established inside its niche, and it already has almost all its keywords indexed inside a search engine. The graph feature is found inside the COUNTRY tab, right next to the already existing summary overview columns:

GRAPH analysis:

1. From the existing/missing keywords graph, we understand with a glance, that it is almost entirely present on the chosen SERP.
2. From the top 10 keywords graph, we can see, that the vast majority of the keywords present inside the SERP is already in top 10. A very well done job from SEO perspective!
3. From the top 25 keywords graph, we can see that it contains a few more keywords, compared to top 10. This means, that currently, knowing the trends from the recurrent reports, the owner knows with a simple glance, what will happen to the keywords in the top 25. Meaning: they will enter top 10 if the trends are positive for ranking ascension, or exit towards top 50/75/100 if the trends are negative for ranking improvement.

3 - The third case study is an older international business, well established for its customers, but in a very competitive niche, spreading several countries and languages. It is present worldwide, and they track their keywords over the same language (English in this case). The graph feature is found inside the dedicated GRAPH tab:

GRAPH analysis:

1. First, we notice, that it got its own tab, named GRAPH. This was an agreed solution, to avoid clutter. The simple approach to adding it right next to the existing column from the previous customer examples simply does not work in this case.
2. Second, we notice the "World Wide" column, where it gets a centralised visual aid for all the keywords tracked on several different countries and locales. This was the requested feature, that sparked the entire feature implementation. This simple graph adds enough insight to the entire SEO operations.
3. From the remaining three existing/missing keywords graph + top 10 keywords graph + top 25 keywords graph is similar to the previously presented cases, so we'll skip duplicating similar results.