The Ad Tech Blog

APRIL 5, 2024

The latest developments in Google’s ad tech, particularly its focus on machine learning and AI, have significantly altered digital advertising strategies. These advancements enable marketers to improve ad performance, gain valuable insights, and achieve better ROI on their campaigns.

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The Ad Tech Blog

JUNE 1, 2024

Understanding AI-Driven Personalization Engines in Ad Design Key Points AI personalization engines can significantly enhance ad targeting accuracy by analyzing user behavior and preferences. These engines utilize machine learning algorithms to optimize ad content, format, and timing to increase user engagement.

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Martech

SEPTEMBER 1, 2023

Reddit is rolling out Keyword Suggestions – a new feature to boost its ad targeting capabilities. Having easy access to a list of new targeting possibilities could also increase the reach and efficiency of campaigns. It’s a new tool available in the Reddit Ads Manager. Why we care. What is Keyword Suggestions.

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The Ad Tech Blog

APRIL 1, 2024

Google’s ad tech algorithms are at the heart of these advancements. The Mechanics Behind Google’s Ad Tech Google’s ad tech suite, including Google Ads and Google Ad Manager , leverages sophisticated machine learning algorithms to efficiently match ads with their target audience.

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Martech

MAY 14, 2024

In the past, contextual advertising has been hamstrung by overly rigid standardization and broad categorizations, which was logical at the time for simplifying ad targeting and reducing complexity by classifying individuals into predetermined segments.

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The Ad Tech Blog

JULY 17, 2024

Federated learning trains models across multiple decentralized devices. Combining these technologies enhances privacy in machine learning. Companies collect vast amounts of user data to deliver personalized ads. Model Inversion Attacks One of the critical threats in federated learning is model inversion attacks.

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Digiday

MAY 5, 2024

At last week’s annual IAB Newfronts, major ad-funded platforms were busy announcing a range of new content, ad formats and measurement tools. Giants like Samsung also focused their events on ways they’re using AI for content, ads and audiences.

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Martech

JULY 25, 2022

The proliferation of APIs and integrations now enables marketers to pull together data of a wide range of types from myriad sources, applying machine learning and sophisticated algorithms to compare and make sense of the information. Its purpose is to help marketers allocate future spend and bring it in line with business goals.

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Ad Monsters

NOVEMBER 14, 2024

Publisher’s AI Tools, Integrations and Partnerships: New York Times – BrandMatch New York Times Advertising has long been at the forefront of digital innovation, particularly in deploying AI and machine learning to refine ad targeting and drive monetization strategies.

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Ad Tech Daily

MARCH 16, 2023

With a further dozen pending, Yieldmo’s patents cover omnichannel creative format technology and machine-learning driven inventory curation and scoring, and highlights the unique value the company delivers to the ad industry NEW YORK — Yieldmo, the smart advertising exchange that differentiates and enhances the value of ad inventory for buyers (..)

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AdvertiseMint

DECEMBER 15, 2024

The Rise of AI and Machine Learning AI in advertising and marketing will become essential tools in the digital marketing toolbox by 2025. AI-driven analytics can optimize ad targeting, ensuring that the right message reaches the right audience at the right time.

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Clearcode

SEPTEMBER 11, 2023

Learn more about the critical features of DSPs in our previous blog post: The Anatomy Of a Demand-Side Platform (DSP). Optimization Features Well-designed DSPs have modules to maintain ad campaigns, optimize ad targeting, and control spending. How Can You Design and Build a DSP?

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Demand Side Platform Ad Exchange Impressions Ad Targeting 112

All About Advertising Law

AUGUST 12, 2022

As explained by the CFPB, “the use of algorithms and business-specific data to determine when to display a specific business’ ads to specific consumers to affect consumer engagement extends well beyond the activities performed by a traditional media source.”.

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VideoWeek

JULY 17, 2023

A few of these topics will then be presented to ad tech tools and advertisers whenever an ad impression is available for that user, helping to inform ad targeting. To do this, Google has created a finite list of topics and sub-topics which can be used for ad targeting.

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Monetize More

FEBRUARY 26, 2023

The rise of new ad formats like native ads and programmatic audio could impact the way CPM and eCPM are calculated and compared. As privacy regulations like GDPR and CCPA evolve, ad targeting and relevancy may become more challenging, potentially impacting eCPM calculations.

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Single Grain

FEBRUARY 5, 2024

Get My Free Marketing Plan Revolutionizing Digital Ads Through AI-Driven Campaign Types Google’s Performance Max and Meta’s Advantage Plus campaigns leverage the power of machine learning and AI to redefine digital advertising, offering unparalleled efficiency and targeting capabilities.

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Digiday

APRIL 18, 2023

It was a stay of execution prompted by a lack of popular industry support for some of Google’s proposed alternatives to ad targeting and tracking methods inside its dominant web browser Chrome without cookies. Midway through last year, Google Chrome confirmed the second extension of its planned sunsetting of third-party cookies.

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Martech Series

FEBRUARY 20, 2023

I am a big fan of OKRs to ensure alignment with the overall business strategy. I also rely on some core martech tools, for CRM (often Salesforce), marketing automation (usually Marketo, but I also am a long-time HubSpot fan), and then a bunch of campaign and productivity tools, from Asana to Zapier.

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Basis

MAY 31, 2023

Meta Outlines Its Evolving AI Ad Targeting Process [:03] Meta recently announced its new machine learning-based ad delivery process, Meta Lattice. Basis’ Senior Vice President of Paid Search and Social, Amy Rumpler, compiles all the latest news, trends, and resources each month for easy access.

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Martech

MARCH 15, 2022

At its core, programmatic ad buying is software-driven technology that seeks to automate all or parts of the ad buying process that were previously done manually. This has two benefits: Ad buying efficiency : Programmatic advertising improves the speed and scale of the ad buying process. Contextual ad targeting.

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Clearcode

SEPTEMBER 20, 2023

By automating the process, they enhance efficiency and precision in targeting the intended audience while managing costs effectively. Some DSPs also leverage artificial intelligence and machine learning to enhance their functionality.

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Demand Side Platform Ad Exchange Ad Inventory Impressions 110

illumin

SEPTEMBER 19, 2024

Instead, the ad placement process is automated. Common methods for ad targeting with programmatic advertising Programmatic advertising is based on efficient targeting. Here are some common targeting methods: Audience targeting Ads are shown to audiences based on data and potential user interest.

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AdvertiseMint

NOVEMBER 21, 2023

Or generate thousands of ad variations to boost performance? AI and machine learning make all that possible. Use machine learning technology to optimize ad targeting and budgets. Generate many ad variations or social posts to improve results. Tools analyze customer data to deliver targeted ads.

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Single Grain

MAY 2, 2023

The primary tools powering PPC automation are machine learning and artificial intelligence. Machine learning is also integral to predicting future outcomes. Machine learning delivers regular data on your PPC campaign and audience so that advertisers can make any necessary modifications.

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Single Grain

MAY 31, 2023

This involves using AI algorithms, machine learning and data analytics to automate and enhance different marketing processes. Aids in better decision-making : Machine learning programs excel at analyzing large volumes of data quickly. An example of a popular AI platform is Google Cloud AI Platform.

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Machine Learning Marketing Advertising Conversion 52

YieldBird

JULY 5, 2024

Target ROAS: Bids for return on ad spend. Changes After December 2023 Enhanced Machine Learning: Improved algorithms predict clicks and conversions better. Adding new Bidding Options: Maximize Conversion Value with Target ROAS: Aims to maximize total conversion value while meeting ROAS targets.

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VideoWeek

MAY 8, 2024

Snap said its investment in Machine Learning and automation speeds up the process of converting 2D product catalogues into AR assets. The social media giant is further using Machine Learning to power creator recommendations on Instagram, helping brands find creators to partner on campaigns.

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Digiday

MAY 3, 2023

Ashwin Navin, Samba TV co-founder and CEO, said AI and machine learning technology will “affect the way we work, how we understand audiences – even the way the technology is being built into the television will basically transform the viewing experience.”

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Basis

DECEMBER 10, 2024

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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Digiday

SEPTEMBER 8, 2022

Experts say the use of AI is increasing as ad targeting with first-party data has become even in more demand. AI can help automate some of those processes, from creative to segmentation and potentially help agencies optimize their ad spend by cutting down on tedious tasks. “As A broader strategy, from customers to C-suite.

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Basis

MARCH 14, 2024

How to Leverage Different Types of Contextual Targeting There are a variety of types of contextual targeting, as well as a whole host of different channels that support this tactic. Keyword and topic targeting allow advertisers to align their ads with specific search terms or thematic contexts.

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Monetize More

MARCH 2, 2023

Artificial Intelligence (AI) and Machine Learning (ML) in RTB are also expected to improve ad targeting, leading to higher conversion rates and ROI for advertisers. According to recent studies, the RTB industry is projected to reach a market value of over $50 billion by 2028.

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Martech

OCTOBER 19, 2022

There are very real problems with it, including data accuracy, collusion by ad sellers and buyers, and click fraud. Programmatic ad targeting is only as good as the data it’s based on. They must be highly relevant and customized with the right creative and messaging specific to your target audience.

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Clearcode

JUNE 15, 2023

This can lead to more effective ad targeting and a better user experience. By using PETs to collect non-personal data, publishers can offer more relevant ads to their audiences without risking user trust. PETs can also help advertisers and publishers comply with privacy regulations, such as GDPR and CCPA.

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Clearcode

MAY 18, 2023

As a result, governments worldwide are taking steps to protect users’ personal information online, recognizing the need to balance the benefits of ad targeting with the right to privacy. Companies would collect large amounts of user data and use it to power everything from ad targeting to measurement.

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Clearcode

JANUARY 22, 2023

What’s The Difference Between A Dynamic Creative Optimization (DCO) And Other Forms Of Ad Targeting? A DCO tool can be used with display, social, video and audio ads. What’s The Difference Between A Dynamic Creative Optimization (DCO) And Other Forms Of Ad Targeting? We explain the differences below.

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Monetize More

MAY 23, 2023

Another approach to maximizing in-game advertising revenue is creating unique, branded ads targeted to specific audiences. Publishers must be mindful of how they implement ads, ensuring that they are seamlessly integrated into the game and enhance the player’s experience rather than detract from it.

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