Charts, Graphs & Affinity History Inside SparkToro

A tour of SparkToro's charts, graphs, and affinity history: how to customize them, add sources to a graph, and export visuals for pitches and presentations.

The charts and graphs in SparkToro are one of our most popular, and if you don't mind me saying it, sexy features. I think Casey did a really beautiful job with these. They've got a couple interesting things here.

So for example, here we are looking at the websites tab. So we're seeing affinity history over time. You can see that if we go over to YouTube, what we'll see are the subscriber numbers compared to audience affinity, highest to lowest.

And these various formats you'll find throughout the app. Pay attention to the x and y axis labels on each of the graphs to figure out what those are. You can also customize the charts.

We can, for example, hide the podcast icons if you want to take a screenshot that's cleaner and more text focused, or you could sort by review count instead of by audience affinity. In the areas where we show affinity history like websites, what you're seeing is an overtime change of affinity for this particular audience and this particular website. So for example, if we're looking at BookWeb here, which is the top one right there, it's in that orange color, I'm actually gonna customize the graph and remove this red one, let's take that one out too, so that we can see this book web one a little bit cleaner.

So right there at the end you can see that book web has risen and some of these others have fallen. BookWeb is now the highest affinity website for this particular audience, which are multi location independent bookstore owners. It makes sense why this site would match up there.

Another cool thing that you can do is as you go down into the dataset, the table of data, you can say, hey, I'd really like to add Kirkus and Book Riot to that graph. You can check them off here and instead of adding them to a list, you can add them directly to the graph and then you will see their affinity numbers graphed as well. We also have the option if instead of a history view, you'd like to see a bubble chart view, where we show you the size being the estimated visits and then affinity and domain authority being the x and y axis respectively.

Now I can see that Book Riot is actually quite a high authority domain, which you might care about for SEO or for AI visibility purposes. And it is in the middle of affinity, maybe on a slightly lower side, but the estimated visits make it quite large. So it's like a bigger bubble than the rest.

You can, of course, download these graphs, screenshot them. The download button is over here. It's this little cloud downloader there.

And you can customize these charts as well. This is also something that you will find. You will find that affinity data if you click on the view history for any of these, and you can see that history going all the way back to twenty twenty five, which is when our clickstream data panel begins for all of the data that you see inside SparkToro.

Brief aside, there is other kinds of tables in SparkToro that don't necessarily have the graphs. However, you can quite easily export the CSV, make your own graph if you'd like. The MCP connection to your favorite AI tool also means that you can make graphs and customizations inside of your AI tool using SparkToro's data.

All these graphs are, in my opinion, very useful for presentations, for pitches, for convincing a boss or a team or a client that maybe we need to be on Substack if we're trying to reach these multi location booksellers. The visualization of the data is truly helpful. It can be quite useful for all sorts of purposes.

And that's why we make it so customizable inside SparkToro itself.