What is Discover?
Discover is our new AI-powered recommendation tool designed to help advertisers identify high-potential publishers tailored specifically to their program.
Using data from your program and others within the same vertical, Discover suggests publishers most likely to drive growth and performance — moving beyond simple category matching to deliver truly relevant partnerships.
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Receive bespoke publisher recommendations specific to your program
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Expand partnerships into the most relevant and high-performing areas
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Support revenue growth through targeted, data-driven connections

How Does Discover Work?
Discover analyses your program’s activity on the network to surface potential growth publisher relationships.
The AI model factors in multiple data points, including:
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Vertical/Category: Ensures alignment with your program’s sector.
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Marketing Channels: Considers which channels your program works with.
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Program Behaviour: Looks at publishers you’ve previously invited or currently work with, as well as your preferred publisher types or channels.
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Exploration Mode: The tool doesn’t limit itself to your existing patterns — it also introduces new publisher types and channels with strong potential for performance growth.
Additional Considerations:
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Network Memberships: Recommendations are limited to publishers within networks your program is part of.
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Revenue Activity: Discover only displays publishers who are revenue active, but will also give preference to publishers who are high revenue-active performers, increasing the likelihood of partnership success.
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Refresh Frequency: New recommendations are generated every Monday.
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The number of recommendations may be fewer if there are not enough suitable matches, to ensure we are only showing you relevant suggestions. If no new recommendations are available, you’ll see a “Check back soon” message with the date of the next refresh.
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It’s also possible that the tool may display similar recommendations to a previous week, if the program behaviour still suggests to Discover that this is a strong recommendation.
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Membership Status Display: Publisher statuses (e.g., Invited) remain visible until the next refresh cycle. They won’t disappear immediately after an invitation is sent.
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Channel Type Usage: Channel type isn’t used to exclude publishers — it’s a behavioural signal.
The AI learns from your typical channels but still explores new ones.
Each recommendation is categorised and ranked based on how strong a match it is for your program, with ordering based on overall match strength according to the AI’s assessment:
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Top Picks – Your best matches
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Great Matches – Strong potential for success
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Good Matches – Solid but slightly broader fit
If you give a recommendation a Thumbs Down, our AI learns from your feedback and adjusts future recommendations accordingly — reducing the likelihood of similar publishers being shown again.

Publisher Cards
For each publisher recommendation, a summary card is displayed with some key information about the campaign. This includes Campaign Name, Publisher Name, Channel Type, Categories, and Recommended Commission.
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Recommended Commission: Discover suggests an indicative commission rate for each recommendation, which is calculated based on the average commission that publisher typically works with in the same category across other advertiser programs.
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Click ‘View Details’ to see more information about this publisher, including their Site URL, Contact, and Description.
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Click ‘Invite’ to open a message to invite this publisher to your program.

Using Discover Alongside Other Tools
Use Discover and Publisher Search together for best results:
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Discover: For AI-curated, program-specific recommendations
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Publisher Search: For manual searches when you want to explore specific publishers or criteria
Once a Publisher has been Invited/a Membership has been created, it will move to the Publisher Management page.
Recommendations for New Programs
For newly launched programs, without any prior activity or behavioural data (e.g., brand-new programs), Discover enters an exploratory mode.
In this mode, the AI model bases its recommendations on:
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Known information about the program (such as its category or vertical), and
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Broader insights from publisher popularity and performance across the network.
This ensures even new programs receive a meaningful and diverse set of publisher recommendations from day one.