Crowd Louder’s Post

🚀 Excited to debunk some myths around cookie deprecation and navigate the future of digital advertising with you! Google's delay till 2025 gives us ample time to adapt. Here are the top 3 myths: 1️⃣ Myth: Effective advertising ends with cookies. Fact: We've got innovative solutions like ZTV and Addressable Geo-Fencing, ensuring your ads are personalized and relevant. 2️⃣ Myth: Precision in targeting is compromised. Fact: Our Geo-Fencing tech remains robust, providing precise audience targeting without cookies. 3️⃣ Myth: Attribution becomes difficult. Fact: Our First-Party Data Attribution accurately measures ROI and campaign success. Let's embrace the change together! Hit me up in the DM's to future-proof your advertising strategy. 💡 #DigitalAdvertising #CookieDeprecation #FutureProofing

Due to Google's impending phase-out of third-party cookies in Chrome. AI and First Party data are becoming key components of the new privacy and targeting tactics. #paidmedia #aiadvertising #cookielessfuture

In 2024, understanding Facebook’s changing algorithms and user behaviour will be essential for becoming a true pro at the ad network. Facebook’s changing policies and the arrival of new privacy laws have made targeting more advanced and complex. To stand out from the crowd, advertisers today need to use a combination of artificial intelligence, deep audience analytics, and engaging material. Creating advertising tactics that appeal to you. The right way to run Facebook ads in 2024! Facebook Ads are a crucial component of digital marketing strategy, and their successful implementation necessitates careful planning and execution. A key strategy for executing profitable Facebook advertisements is to take advantage of the platform’s complex targeting features. Using Facebook’s broad targeting abilities, advertisers can target particular audience segments based on demographics, interests, activities, and even brand interactions. Ads are shown to people who are most likely to interact with the content and complete the intended activities thanks to this deep targeting, which bo In 2024, understanding Facebook’s changing algorithms and user behaviour will be essential for becoming a true pro at the ad network. Facebook’s changing policies and the arrival of new privacy laws have made targeting more advanced and complex. To stand out from the crowd, advertisers today need to use a combination of artificial intelligence, deep audience analytics, and engaging material. Creating advertising tactics that appeal to you. The right way to run Facebook ads in 2024! Facebook Ads are a crucial component of digital marketing strategy, and their successful implementation necessitates careful planning and execution. A key strategy for executing profitable Facebook advertisements is to take advantage of the platform’s complex targeting features. Using Facebook’s broad targeting abilities, advertisers can target particular audience segments based on demographics, interests, activities, and even brand interactions. Ads are shown to people who are most likely to interact with the content and complete the intended activities thanks to this deep targeting, which boosts campaign performance and increases return on investment. Advertisers can target people who are similar to their current client base and broaden their reach by creating unique and similar audiences. Advertisers can achieve better results and accomplish their marketing goals by optimizing ad targeting to increase the relevance and effect of their Facebook ads in 2024.

Excited to share our latest blog post discussing the collaboration between Oracle Contextual Intelligence and Buddy Decarbonise (Big Ads) for cookieless targeting solutions. Learn how this partnership is driving innovation in digital advertising and ensuring privacy compliance. Follow TechNews Pub for more updates! Visit us - https://lnkd.in/dWDGGmrE #Oracle #BuddyDecarbonise #CookielessTargeting #DigitalAdvertising #privacycompliance

Here it goes - Meta pushes advertisers into AI-driven ad optimization (Advantage+), removing “detailed targeting” capabilities at all levels, including Custom Audiences or Lookalikes. This is not about #EU laws alone (Digital Services Act), given recent FTC actions and US state-level opt-in rules for sensitive data. But it may also deliver some benefits beyond #privacy compliance. Given the current market concentration and the identical path chosen by Google (with #PMax, their own version of the self-driving campaign, pushed front and center), it does not seem like small advertisers can escape the black box. This poses a very interesting dilemma for the open market. Most publishers I speak to seem allergic to privacy-preserving, cohort-based, or topic-based targeting, instead clinging on to alternate IDs and individual profiling. I am told that their hands are tied by the routines, established processes and reporting expectations of the demand side. I have also been assured that, contrary to incessant lecturing by privacy professionals turned “advertising experts”, contextual advertising is no nirvana - and it is easy to appreciate the challenge it poses for small advertisers with niche audiences and very limited budgets. But, beyond the very tiring third-party cookie deprecation saga, increased regulatory scrutiny on intermediaries (eg. CNIL taking on Criteo) is pushing everyone into a corner with very few options at hand. Data collaboration across first party data pools seems to be one of them, possibly combining addressability and volume. After all, publishers can now rely on a “Pay or OK” model to boost both cookie acceptance rates (OK) and email/profile repositories (Pay) - see the perfectly timed, mass migration to consent walls happening in Spain as we speak. In other words, it would seem like we could end up with a very reliable audience pool combining data across ten or twelve major publishers in each market (as all of them enjoy the new “coercive consent” advantage). But given that advertisers cannot enjoy this particular “carte blanche”, I wonder: Would legacy publishers be able to both: a) Find enough common ground halfway between contextual and behavioral data to provide targeting and measurement capabilities that set advertisers free of third-party cookies and alternative IDs?; and b) Introduce smarter cross-site capabilities rivaling those of the large platforms? Dreaming further: Would the open market ever be able to compete with Google/Meta as a marketing solution for SMEs and performance-driven retailers? Does the general signal loss not present an opportunity for those that never had much? It would be fantastic to count on some feedback, or an answer to one of these questions from Alessandro De Zanche, Ciarán O'Kane, Arielle Garcia or Jesus Carrera. And with that I will expand into a couple of new ideas and turn this into a post. If only for my own sanity 🙂 https://lnkd.in/d4Qz_mzq 

Considering the demise of third-party cookies, it's time businesses consider pivoting to contextual targeting. This method, which takes advantage of advanced machine learning, uncovers hidden pockets of audience engagement across the digital landscape, ensuring relevance and precision in advertising. It's a privacy-friendly approach that doesn't rely on tracking individual users and aligns with contemporary data privacy regulations.   Dive deeper into this alternative: #Advertising #Cookies  

⚡️How contextual targeting is 'Coming to the Rescue for Brands' ❗️Google's stance on the third-party cookie has changed but this has just created new opporutunitys for brands to flourish Read more in this piece first written when the change was announced: https://bit.ly/4aiEluX #contextualtargeting #thirdpartycookie

Recent news from Search Engine Journal highlights how marketers must prepare now for the changes coming in 2024, with Google's plan to bid farewell to third-party cookies. Read more to explore the revolutionary landscape of ad targeting, as Google unveils a privacy-focused strategy, leveraging AI and first-party data to replace third-party cookies >> https://lnkd.in/gsJDNGMz #GoogleAds #DigitalMarketing 

✨With the phase out of third-party cookies coming in the middle of Q4 2024, the urgency around identity solutions has reached a fever pitch among companies in the advertising ecosystem. Among ad tech companies, publishers, and advertisers, the user ID matching process is key to producing high-quality data for ad requests, reporting, and audience targeting. Lineate Georgia #ITcompany #georgiatoday #tecnology

Brian Tomasette's explanation at the Cannes Lions Festival highlighted the distinction between traditional contextual targeting and "multidimensional cohort targeting". Contextual targeting relies on the context of a page or user's current activity to serve ads relevant to that content. In contrast, multidimensional cohort targeting utilizes machine learning to analyze broader behavior patterns across various platforms, allowing for the delivery of personalized ads based on aggregated data from similar user groups, without needing specific individual identifiers. This approach offers a more nuanced and potentially more effective method of ad targeting. https://lnkd.in/gCbqwy_e