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Using Topic Graphs to Understand an Audience

The latest release of PYLON for Facebook Topic Data offers two new targets that return data to build network graphs: fb.topic_graph fb.parent.topic_graph A network graph consists of two elements: nodes and edges. In this case the nodes are Facebook topics and each edge is a connection between…

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New Tokenized Targets for PYLON Query Filters

In this blog I'm going to look at tokenized targets in query filters. If you're new to the PYLON platform take a look at our PYLON 101 and Get Started guides. PYLON offers two types of CSDL filter: interaction filters query filters An interaction filter takes data from Facebook, filters it, and…

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Filter Swapping (part 2)

Use Case: Hashtags In part 1 of this blog I introduced a new feature of PYLON called filter swapping. In this part I'll look at a use case that reflects a real-world use case. Suppose you want to monitor a sector and find the top hashtags associated with it. Then you want to take those top hashtags…

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Filter Swapping (part 1)

In this two-part blog I'm going to look at use cases involving a feature of PYLON called filter swapping which allows you to change the CSDL code of an interaction filter without stopping your recording. If you're new to the PYLON platform take a look at our PYLON 101 and Get Started guides. Use…

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Using Facebook Topic Data to Refine an Advertising Campaign

You might have seen our recent blog post where we discussed how an agency used Facebook topic data to carry out audience research and refine an upcoming ad campaign. In this post we'll take a look at how the research was carried using our platform. Using Facebook topic data to understand an…

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