Optimizing Viewability Per Page – Manual vs. Real-Time Process [Infographic]
By Asaf Shamly | January 27, 2021
Meeting viewability targets has long been one of the biggest challenges facing publishers, and with good reason: Advertisers don’t want to waste their online marketing budget on impressions that aren’t actually being seen by users.
Low viewability could be due to several different reasons, including users who have installed ad blockers and pages that have been opened by a bot. But it could also be due to issues that publishers have more control over, such as ad layout.
Even though ad inventory is the publisher’s second-most important asset, after content creation, it is still managed and optimized inefficiently: it’s a manual process involving multiple teams (UX, Product, R&D and Ad Ops), repeated every few months, at the macro level.
Publishers can’t optimize their ad inventory for viewability per any given page due to lack of ROI. The costs and time needed to scale up to meet viewability targets can be daunting (and often impossible to meet).
THERE IS A BETTER WAY TO SCALE UP.
Check our infographic below detailing the cost and the process of optimizing viewability per page and why you need to adopt a real-time, automated process using AI-powered ad inventory.
Want to learn more? Talk to a specialist today.
Latest Articles
-
When Agentic AI Takes the Wheel, Who’s Watching the Road?
Speed feels like smarts in advertising, but most “autonomous” systems optimize on labels and averages rather than behavior in context. They can’t see scroll, true in-view time, ad density, or what happens after the impression. Data without depth is a liability; the edge now is first-party, behavior-rich signals learned across environments.
View Now -
Your Media Plan is Still Yours – Until it Isn’t
Platforms like X aren’t building AI to support advertisers - they’re building it to control the process. Systems like Grok optimize for what’s measurable inside their ecosystem, not for a brand’s broader goals. Automation without visibility isn’t strategy, it’s dependency and that shift is one every advertiser should be paying attention to.
View Now -
The Web’s Closing Doors – And AI’s Feeling the Lock
Recently, Cloudflare took the unusual step of publicly calling out Perplexity AI for scraping publisher content without permission. And they didn’t hold back - accusing the company of disguising its crawler, bypassing robots.txt rules, and consuming massive bandwidth without attribution or consent. Cue the familiar debate: who owns online content? Should AI assistants be allowed to “learn” from everything on the web? Is scraping theft - or fair use?
View Now