Andrea Volpini Profile picture
Jul 5 5 tweets 3 min read
This is great, and here is what you can do with it 🧵:

1. Blend structured data with metrics from Google Search Console 🔀(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 Image
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 Image
4. Find query opportunities using Google's Search Console bubble chart (ref: developers.google.com/search/blog/20…) and entities.

For example, I see everything in the context of "Smart City" 👇.

3/5 Image
5. If you run an e-commerce 🛒 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 Image
Here is how it works:

1⃣ 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.

2⃣ Create a blend by matching the URL (products.urls 🔗 Landing Page)

3⃣ Have fun!

5/5 ImageImageImage

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More from @cyberandy

Jun 9
A new SEO workflow for e-commerce sites. In this tutorial, we will create internal links on PLP

1⃣ Extract text using #advertools 🕷️
2⃣ Get queries from GSC
3⃣ Compute Similarity
4⃣ Add semantic markup

- wordlift.io/blog/en/intern… [blog post✍️]
- bit.ly/3aRvN4o [code🐍]
I worked on the @FILAUSA website (not a client of ours) that currently doesn't have a related search widget.

To build one, we will index 'title', 'meta description', 'intro text' and 'breadcrumbs' and use the title of any other PLP as 'query'. ImageImage
We will generate a JSON that recommends 3 or 4 relevant links for every page.
Read 6 tweets

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