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Federated Learning for Privacy-Preserving Ad Targeting

The Ad Tech Blog

In the evolving landscape of digital advertising, federated learning offers a promising solution for privacy-preserving ad targeting. Ad tech companies can use it to create effective ad-targeting models. In a decentralized setup, devices communicate directly with each other to synchronize model parameters.

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Integration of Federated Learning for Privacy-Preserving Ad Targeting

The Ad Tech Blog

Moreover, federated learning can improve the efficiency of ad targeting algorithms by enabling them to learn from a broader range of data inputs without compromising on privacy. This includes understanding the data types involved, the privacy requirements, and the desired outcomes of your ad campaigns.

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Personalization’s double-edged sword: Balancing relevance with intrusiveness

Martech

Many consumers remain unaware of the specific data points used for ad targeting, underscoring the importance of transparency in data collection practices. Leverage first-party data: Expand the use of first-party data for targeting, reducing reliance on cookies and mitigating associated liabilities.

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Martech - Untitled Article

Martech

Meta is implementing new data restrictions in its Business Tools, which could affect how businesses target ads and measure performance. This move reflects Meta’s ongoing commitment to privacy but could complicate ad targeting and reporting for you. Potential pausing of ads using highly targeted UTMs.

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Unlocking the power of marketing mix modeling solutions

Martech

Marketing leaders have long relied on various techniques to measure and communicate their impact, but traditional digital attribution methods often fall short. Regulatory changes and uncertainties around third-party tracking and ad targeting have further accelerated the shift toward MMM.

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Uh oh! European carriers are trying to get into ‘personalized’ ad targeting

TechCrunch Ads

” Users of mobile networks — who pay their hard-earned money to get cellular connectivity, not to be clobbered with (yet) more consent pop-up spam and/or be ad-stalked around the internet — may well take a very different view, as they wonder how many times they’re going to have to keep slaying the tracking zombie.

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2025 Advertising Trends: What Agencies Need to Know

Basis

For instance, machine learning algorithms have been used for years to optimize ad targeting, enhance bidding strategies, and predict consumer behaviors. And though the technology holds significant potential for advertisers, its critical to remember that AI has long been foundational to programmatic advertising.

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