AdExchanger’s Post

Integral Ad Science launches Content Block List with Meta to enhance brand suitability for advertisers across Facebook and Instagram. read more: https://lnkd.in/d5zu7Yv8 Lisa Utzschneider | Samantha Stetson #ContentBlockList #BrandSuitability #AI #Campaign #SocialOptimization #AdPlacement #MediaQuality #DigitalAdvertising #Adtechtoday

We have all seen AI content that is so obvious it is cringe-worthy. But we have also seen AI-generated content that went completely undetected. Advertisers continue to navigate this technology, and as Creative Bloq notes, they want to use this rapidly evolving technology to stand out! What are some great AI ads that you've seen? Comment them below! #AIGenerated #Advertising

The Rise of Ads, Creators, and AI in 2024: What You Need to Know . . . . . Read More: https://lnkd.in/gCZU6mBU #Ads #Creators #AI #MarketingTrends #2024Trends #DigitalMarketing #Advertising #AIinMarketing #ninjapipe

Discover why AI-powered curation is the future of programmatic advertising. With $31 billion wasted on non-measurable and low-quality placements, it's time for a change. AI-powered #SmartCuration is the answer, offering a more efficient way to achieve better programmatic ad performance. "AI takes the curation process one step further by turbo-charging optimisation for inventory quality, attention and better outcomes" writes co-CEO, Filippo Gramigna in this MarTech article: https://lnkd.in/d-cZzRkX These are exciting times and we're just getting started with the benefits of AI-powered media curation! #Onetag #ProgrammaticAdvertising #AICuration #AdTech #Sustainability #DigitalMarketing

Perplexity's Innovative Approach to Revenue Sharing and Advertising Perplexity, an AI-driven search engine launched two years ago, is set to introduce an advertising platform with a revenue-sharing model by the end of September. This initiative aims to share a "meaningful double-digit percentage" of revenue with select publishers, addressing criticism of content scraping without permission. Unlike Google, which does not compensate publishers for content used in search results, Perplexity plans to create a sustainable revenue stream for publishers by citing sources and redesigning its interface. The company will pay publishers whenever their content is featured in an AI-generated response, distinguishing itself from other AI firms that pay for content used to train models. In addition to the revenue-sharing model, Perplexity is exploring new ad formats, including video ads and brand-sponsored follow-up queries. The company does not train its proprietary AI models but allows users to choose from well-known models like OpenAI’s GPT-4. Despite the promising aspects of this initiative, the impact on publishers' revenue, particularly in offsetting potential losses from reduced traffic due to AI-generated responses, remains uncertain. Moreover, Perplexity faces challenges in establishing its ads business in a market dominated by giants like Google and Meta, and recent controversies have made it challenging to onboard publishers. Nonetheless, Perplexity is determined to move forward with its revenue-sharing commitment. # Thank you Matteo Rossi for your submission!

Bitmovin has launched AI Contextual Advertising, an innovative solution that uses AI to deliver hyper-targeted ads based on the content viewers are watching. By analyzing video scenes and viewer engagement in real-time, this technology ensures ads are highly relevant, without the need for cookies. Combining the power of Bitmovin’s Playback Solution and Encoding, this solution offers personalized ads that perfectly match the content being viewed. The AI-driven machine learning model analyzes video content and viewer behavior to ensure every ad is impactful, privacy-conscious, and effective—without relying on invasive tracking. Key Benefits: 🎯 Smarter Ad Placement based on video content 📈 Optimized Conversions using AI-powered insights 🔒 Cookieless & Privacy-First approach ⚙️ Seamless Integration with SSAI, CSAI, & SGAI Learn more below ⬇️

Using gen AI, marketers can now scan the content of a TV or video series and gather more granular metadata, such as program details and closed captioning, to gain a clearer picture of the emotional tenor of a scene. Marketers can use this metadata to serve an ad whose tone reflects the mood of the content the viewer has just watched, heightening its contextual relevance and improving the performance of the creative. #contextualmarketing #contextualmessaging #performancemarketing #vujadedigital #ctvadvertising https://lnkd.in/gWXxeHXz

While #AI is viewed positively by 77% of advertisers, only 38% of consumers feel the same. 72% of consumers believe it's challenging to discern authentic content. 61% of them assume that AI is used in ads. https://ow.ly/GGSC50QJB2S #generativeAI #advertising #marketing

Google rolls out AI-driven ad products #BrandWagon #AI #artificialintelligence #GoogleAI #digitalad #advertising #Google Google Matt Madrigal Vidhya Srinivasan Story by: Ritarshi Banerjee

Publishers face major challenges as consumers expect free content but often object to ads. Social networks and search engines reduce visits to publisher sites, and generative AI uses content without always providing source links. Subscription models often fail, and cookie deprecation adds to the difficulties. My guest, Kurt Donnell, of Freestar, suggests reeducating consumers on the value of ad-supported content and rewarding those who opt-in to provide first-party data as possible solutions. #publishers #content #ads #marketing #AI