New Adapter Charts and a “Pirate” Filter for the Whitelist

New Adapter Charts and a “Pirate” Filter for the Whitelist

Over the weekend, I completely updated the charts for header bidding adapters, and in the Whitelist Builder, I prepared additional filtering by site groups. Site groups are a manual way to group platforms by specific characteristics. You can now filter “pirate” sites separately, and in the future, groupings for service sites, advertiser-owned sites (without ad placements), and media holdings (e.g., “Shkulev”) will be added. Let’s talk about why this was done.

🌐 New Adapter Charts

The charts show which sites have a particular adapter installed.

Chart examples:

The previous version displayed only the last 50 new sites. Now a full list of platforms using a specific adapter is available.

One of the main use cases: tracking sites connected to competitors. With such a list, you can quickly find platforms not yet in your direct network and offer them a partnership.

Additionally, the entire list can be downloaded in CSV or TXT format.

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🔍 Filtering by Groups

The Whitelist Builder now includes filtering by groups. The first “test case” is filtering by “pirate” sites — this will simplify whitelist compilation for DSP sales and buying teams, ad agencies, and advertisers.

The main idea of the Whitelist Builder is quick site selection for a specific brief using the required set of parameters: countries, technologies, topics, interests, and so on.

Time-saving: Compiling an up-to-date list of platforms now takes minutes instead of hours of manual monitoring and verification. This is especially important for those sourcing large volumes of inventory or working with extensive lists.

For example, when an agency receives an urgent brief to select legal sports platforms, the list can be compiled and exported within a couple of minutes — no more late-night spreadsheet marathons.

The Whitelist's database is still relatively small, and filtering accuracy isn’t perfect. Sites that simply mention a topic may be included — for instance, the “Sports” category contains not only sportkp.ru but the entire kp.ru as well. Still, even now, when working with a large sample (say, 1000 sites), you can quickly identify the majority of topic-relevant platforms.

Contextual whitelists

🔧 Implementation Brief

Charts are updated automatically as new site data becomes available.

Group filtering is handled manually for now and will be extended with new categories (premium segments, regional sites, thematic clusters).

✉️ Feedback: If you’re from an agency, SSP, DSP, or an advertiser who regularly works with inventory selection — let me know what filters, attributes, or groupings you need for your workflow. I’ll include them in future updates. You can contact me via email at h31157r0m@gmail.com or Telegram @ikorneev.

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