Andrea Volpini Profile picture
One of the better-known cyberandy. Passionate about #SEO and #ML I am co-founder and CEO of WordLift and insideout10.

Jul 5, 2022, 5 tweets

This is great, and here is what you can do with it ๐Ÿงต:

1. Blend structured data with metrics from Google Search Console ๐Ÿ”€(or any other source).

2. Evaluate clicks performance for each schema type
(including types like schema:service that we currently don't have in GSC).

1/5

3. Filter data by entity (or topic). Make sure to activate the Chart cross-filtering option to turn any chart into an interactive filter.

2/5

4. Find query opportunities using Google's Search Console bubble chart (ref: developers.google.com/search/blog/20โ€ฆ) and entities.

For example, I see everything in the context of "Smart City" ๐Ÿ‘‡.

3/5

5. If you run an e-commerce ๐Ÿ›’ website, you can analyze sessions by price and product category.

6. You can see what brand bring you the most visits.

(in both of these charts, the data from the KG is blended with data from #GoogleAnalytics)

4/5

Here is how it works:

1โƒฃ Add your @wordliftit key and write a query in GraphQL with the data points you need. The connector will access the KG and flatten the data into dimensions.

2โƒฃ Create a blend by matching the URL (products.urls ๐Ÿ”— Landing Page)

3โƒฃ Have fun!

5/5

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