Boost Your SSP’s Video Ad Revenue: How AI-Powered Viewability Predictions Transform Video Ad Monetization

Have you ever scrolled past a video ad without even noticing it? You're not alone, many online ads never actually reach human eyes. Today, advertisers increasingly pay for video views rather than mere impressions, meaning every unseen ad is wasted.

Supply Side Platforms (SSPs) face losses when advertisers don't pay for allocated ads as SSPs have paid publishers for that allocation. This underscores the critical need for SSPs to accurately predict video views through AI prediction models in programmatic advertising.

Why Viewability Equals Revenue

Think of a publisher that sends a bid request that is suitable for video on a placement that is actually viewed by the site visitor only 60% of the time (at least two seconds of video viewed as per viewability standards).

If the SSP selects an ad for which the advertiser pays him 500cpm and it wants to achieve a 20% margin (100cpm net revenue per bid), the SSP should not bid 400cpm as usual because it would end up getting on average a loss: 0.60 x 500 - 400 = -100cpm. Instead, the SSP should bid 200cpm: 0.60 x 500 - 200 = 100cpm.

Unfortunately, the SSP does not know what are the chances the video is viewed.

The AI Advantage: Predicting Viewability Instantly

At AdGoat, we've developed a real-time AI model that calculates a **Viewability Probability Score** for each ad opportunity, even before the auction finishes. Our system rapidly analyzes more than 50 factors, including device type, ad placement, scroll depth, past slot performance, and ad slot id, providing accurate predictions in under 10 milliseconds.

Smarter Bidding for Better Margins

Armed with these predictions, SSPs can fine-tune their bidding strategies for maximum profitability:

• Highly likely-to-be-viewed impressions: Increase your bids price, confident these will turn into valuable, payable views.
• Low-viewability impressions: Reduce your bids price or pass entirely to protect your margins.

The viewability score feeds into our comprehensive Dynamic Margin Optimization model, which continuously adjusts bids and margins in real time.

Beneficial for All Stakeholders

The result is a win-win scenario: publishers gain higher revenue from existing inventory, advertisers achieve stronger campaign results, and viewers enjoy fewer irrelevant or intrusive ads. AI-driven viewability ensures every impression counts as a genuine business opportunity.

Machine Learning Models That Predict Video Viewability Drive More Revenue. Let’s Redefine SSP Performance Together