
Naver's AI Briefing Ads Cost 30% More per Click — and Convert 3x Better
Naver monetized informational queries rather than cannibalizing commercial ones, producing a 30% CTR lift and 3x purchase conversion, while its AI tab passed 10M MAU.

LinkedIn released a four-step ads playbook covering how to build campaigns in-app — audience size parameters, format options, targeting and measurement.
The most concrete recommendation concerns audience size. LinkedIn states that a target audience between 50,000 and 500,000 people delivers optimal results, because that scale gives the ad system enough parameters to identify the right people to serve each impression.
Two practical implications follow.
The playbook walks the sales funnel and what LinkedIn audiences respond to at each stage. Upper-funnel rewards perspective and framing; lower-funnel needs specific evidence and a conversion reason. Trying to cover the full funnel with a single creative is the most common cause of underperformance.
The guide then covers available ad formats and where each applies, appropriate campaign timing, and how to accurately assess the performance of an in-app promotion.
Measurement coming last matters. B2B conversion cycles are long, so judging a campaign only on in-flight metrics makes almost everything look like a failure. Without deciding what to judge and when before launch, viable campaigns get killed early.
The material is foundational — experienced marketers will know most of these principles already. It is still useful as a platform-stated baseline.
On B2B demand strategy where targeting and creative interact, see Demand Gen Shows Why PPC Can No Longer Hide Behind Intent. On why click performance alone misreads B2B outcomes, see Your B2B SEO Can Win the Click and Lose the Shortlist.
Between 50,000 and 500,000 people. LinkedIn states this range gives its ad system enough parameters to learn from and identify the right users to serve each impression.
Targeting looks precise but the system lacks the data to optimize. CPMs rise and delivery becomes unstable. Campaigns that stack job title, company size and industry filters down below 10,000 people are the typical case.
Set the timing and the metrics before launch. B2B conversion cycles run long, so in-flight metrics make most campaigns look like failures, which leads to viable campaigns being shut down prematurely.
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