Daily Star Became a Hit on MSN by Tailoring Content to Robot Editor
Why It Matters
MSN’s AI‑curated platform offers higher CPMs and a stable audience, providing a crucial revenue buffer for publishers facing falling referral traffic from traditional search and social sources.
Key Takeaways
- •Daily Star hires full-time MSN editor.
- •MSN's AI filters block adult and swearing content.
- •Tailored stories generate ad revenue exceeding Meta.
- •MSN page views often surpass Daily Star website.
- •Video AI conversion boosts engagement on MSN platform.
Pulse Analysis
MSN.com has emerged as a powerhouse in the news‑aggregation landscape, leveraging Microsoft’s first‑party user data to sell premium advertising. Unlike Google Discover, which has seen a sharp decline in referrals for many publishers, MSN’s AI‑driven robot editors curate content through rigid filters that prioritize safe‑for‑work material. This creates a distinct ecosystem where publishers can tap into a massive, English‑speaking audience while benefiting from higher CPMs tied to logged‑in user profiles. The platform’s scale—ranking third globally among English news sites—makes it an attractive alternative for media groups seeking diversified revenue streams.
The Daily Star’s experiment illustrates how a focused content‑tailoring operation can unlock that potential. By assigning Adam Cailler to monitor MSN’s 24‑hour editorial cycle, the tabloid reshapes stories into three‑paragraph formats, strips out prohibited language, and even converts written pieces into AI‑generated video. These adjustments have propelled MSN page views to rival the Star’s own site, with some articles, such as a Putin body‑double piece, nearing a million views. Remarkably, the ad revenue generated from MSN now surpasses that earned from Meta’s platforms, underscoring the financial upside of mastering the aggregator’s content rules.
For the broader publishing industry, the Daily Star’s success signals a shift toward off‑site platforms as core distribution channels. As AI filters become more sophisticated, editors must balance editorial integrity with platform compliance, potentially reshaping newsroom workflows. While dependence on a single aggregator carries risk, the higher yields and audience reach offered by MSN suggest that similar models could become a staple of digital monetisation strategies, especially for outlets grappling with dwindling traffic from traditional search and social networks.
Daily Star became a hit on MSN by tailoring content to robot editor
Comments
Want to join the conversation?
Loading comments...