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Bid Shaping Revolution: How Our ML Algorithm Boosted Publisher Revenue by 12%

Playwire

Key Points Playwire's machine learning bid shaping algorithm delivered a 12% increase in RPS for publishers over standard bidding: Sites using bid shaping saw a 21% increase in Revenue Per Session in the experimental time period, while sites in the control group saw only a 9% improvement in RPS.

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How to Build Cookieless Retargeting Strategies That Work

Single Grain

Modern contextual targeting leverages sophisticated natural language processing and machine learning to understand content themes, emotional tone, and audience intent. Second, predictive modeling uses machine learning to identify high-value prospects and optimize retargeting efforts.

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The Science Behind Effective LinkedIn ABM: A Data-Driven Approach

Single Grain

use machine learning to optimize personalization and targeting. Machine Learning Personalization Tools like Karrot.ai Machine learning attribution : Apply AI to uncover complex attribution patterns. Controlled experiments : Use test and control groups to measure incremental impact.

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ROAS Masterclass: 12 Techniques to Maximize Ad Spend

Single Grain

AI and machine learning tools can identify patterns and optimization opportunities humans might miss. Predictive Audience Building Leverage AI and machine learning to identify patterns in your customer data. Control groups : Maintain proper control groups for accurate measurement.

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How Programmatic DOOH B2B Reaches Decision-Makers Anywhere

Single Grain

Unlike static outdoor ads, programmatic DOOH B2B campaigns utilize machine learning to execute real-time bidding, audience intelligence, and contextual triggers, serving the right message to business professionals at the best moment. This mid-funnel metric proves creative resonance before leads enter your CRM.

ROI 52
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11 Native Advertising Trends that You Can’t Ignore

Single Grain

Compare this figure to the control group, which saw a mere 14% top-of-mind awareness. Advertisers can create their displays and text, run it through AI, and machine learning will make necessary changes to fit their audience.

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Mistake #1 In Marketing Personalization: Not Knowing Your Customer’s Journey

Martech Series

The question we all face as we use today’s artificial intelligence and machine learning technology to have personal connections with the customer is this: “Can the new technologies really mimic the great salesperson? They shop online and in person. website pop-up, real-time transaction message, mobile push notification).