Why Content Recommenders Fail... and What to Do About It
In all my reading on digital publishing, this quote from Greg Starek at Ezoic fascinated me the most: “...getting users beyond the first...
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Take your audience off road, not off site, to find the things that engage them...
Automatically enrich your content with deep general knowledge on a range of topics.
The only recommender to look within articles to identify the things that readers most want to engage with.
A next generation recommender that boosts revenue and reduces subscriber churn by guiding readers to the things that engage them most...
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Content
E-Commerce
Products
Ad-Supported
Content
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Properties
Organic
Content
Affiliate
Products
Increased Session Earnings
Encourage visitors to explore back catalogs, including cross-promotion between brand properties.
Additional
Traffic
Enhanced search ranking as Google adapts to stronger platform metrics (e.g. pages per session, dwell time, & bounce rate.)
Higher
CPMs
Achieve performance thresholds of ad networks offering higher CPMs and higher quality ads.
Unlock additional revenue sources with enhanced performance metrics.
Take analytics beyond page level to discover what engages your audience...
Recover revenue left behind by traditional recommenders...​
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Recommend while the reader is engaged in the article.
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Suggest a broader range of targeted content and products.
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Organise content and products into easy-to-browse categories.
“It was quick and easy to deploy. We really like it.”
― Cass Navaro
Editor-in-Chief at ACCLAIM Magazine
About Us
We're a team of avid readers and technologists, passionate about energising audiences.
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Our mission is to enable digital publishers to thrive by making their content and products more discoverable and engaging.
Feel free to get in touch if you'd like to chat.
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