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AdTheorent Launches Industry’s First Privacy-Forward Solution for Audiences

Martech Series

AdTheorent Predictive Audience Builder Delivers Customizable Machine Learning Tools to Enhance Audience Reach, Composition and Quality. AdTheorent Predictive Audience Builder leverages customizable and primary-sourced seed data sets to mimic the audience profile of an advertiser’s desired target.

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How to build a hyper-precise audience-first ad campaign

Martech

For years, marketers have chased delivering “the right message to the right audience at the right time and on the right channel.” Hyper-precision targeting is a powerful, high-impact, low-waste approach to audience-first marketing that drives engagement, conversion rates and lifetime value.

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AdTheorent Health Unveils the Industry’s First and Only Predictive Audiences for Health Advertisers

Martech Series

Industry’s most privacy-forward, customizable and accurate audiences optimized with predictive targeting to drive superior performance. that delivers privacy-first machine learning-based advertising solutions to drive measurable outcomes for healthcare marketers, today announced the launch of AdTheorent Health Predictive Audiences.

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Safeguarding the Digital Ad Ecosystem: Strategies for Ad Fraud Prevention in 2024

Ad Monsters

Advertisers place ads to build up their audience or customer base, and they are increasingly using mobile devices to access the Internet. Fraud Detection Algorithms Ad exchanges and programmatic middleware solutions use strict verification procedures to ensure the authenticity of traffic sources and eliminate fraudulent impressions.

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3 ways to boost digital marketing ROI while reducing carbon footprint

Martech

Almost two-thirds of the money spent on programmatic advertising was wasted because ads were shown to the wrong target audience, according to the ANA’s recent report. Audience targeting Digital activities account for 4% of the global carbon footprint, with energy consumption increasing annually by 9%, The Shift Project reports.

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ML Models for Threat Prediction in Ads

The Ad Tech Blog

Understanding ML Threat Prediction in Advertising Overview of ML Threat Prediction ML threat prediction in advertising is a burgeoning field that leverages machine learning techniques to identify and mitigate potential threats in advertising campaigns. This includes fraud detection , privacy breaches , and malicious ad content.

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What is AI in Marketing: Growing Trends in Coming Years

Ad Rants

However, with the growing AI trends and machine learning, marketers can extend macro insights for a deeper understanding of the audience's mannerisms to build effective advertising and marketing campaigns. A machine is known to be artificially intelligent if it can perform any task that a normal human can do.