Nate Gasser

A compelling argument for the importance of experiments and the use of Bayesian modeling. The objection/notion of isolated, walled garden experiments is slowly becoming obsolete. As advertisers increasingly leverage open-source or proprietary geo/user-based experimentation on their own internal metrics, the need for incrementality testing as the gold standard for establishing media causality becomes undeniable. Incorporating experimental data into a Bayesian framework should enable more accurate and actionable insights in this regard.

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Acxiom experts have supported clients on thousands of analytics initiatives of all sizes, and have put together the top 10 data strategy mistakes that derailing projects. Take a look at the negative consequences that await those who rush in and unpack tips on how to build a solid data strategy foundation that will make sure your analytics project doesn’t crack under pressure. Download the POV:

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What does the first AI shopping season mean? It means there is a lot of experiments and consumers are the guinea pigs 🤣 !! Adobe Analytics says traffic from retail sites to AI powered chatbots increased 1950%. From AI inspired recommendations to Amazon's "Rufus", it's the season of AI experimentation on the holiday shopping season 🛒 . Have you noticed any AI influence in your online retail experiences? Anything stand out? Any recommendation engines that actually nailed it for you? #AI #retail #holidayshopping #ecommerce #advertising

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Once again, the #ANA steps up to help enable growth through #education. We live in a tech-driven world and all #marketers need to develop a strong based of knowledge in #MarTech. Check it out..

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Understanding and integrating the user's intent is how you create more profound, lasting relationships with your users. It’s one of the critical pillars of our Intelligent Experiences. Get a deeper dive from the legend Chidi Achara #IX #Huge

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According to Lotame's The State of Data Collaboration: A Global Perspective report, 98% of marketers are struggling to fully harness their data. So, what's the path forward? Data collaboration platforms could be the solution that can help marketers integrate data, break down silos, and unlock new use cases. #Martech #DataCollaboration #FutureOfMarketing

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Meet the Perceptive CMOs – marketing leaders who truly understand consumers’ visions for tomorrow. Dive into Merkle's infographic to discover insights from marketing leaders and consumers, including trends, strategies, and the future of CX: https://bit.ly/3DIwCeo

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Another interesting viewpoint on the impact of AI on search. What makes the open web so interesting is the richness and complexity of it. But what’s the impact when Google “does the Googling for you? Tech research firm Gartner predicts traffic to the web from search engines will fall 25 percent by 2026. That’s a massive impact for indy publishers and many smaller companies who’ll find it harder to compete. It has the potential to improve the search experience for the consumer, it has become more than a bit messy over the last decade. But for smaller brands the fight to cut through will be that much harder. Quality of content and user experience will be key. https://lnkd.in/eZ7SituW

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Join us for the latest webinar in the Marketing Minutes series titled, 'Accelerating AI and Analytics Value: Making the Most of Customer Analytics Technologies,’ on October 30th at 1 pm EST. You'll hear from SAS experts and a featured speaker from Forrester, who will discuss how leading organizations use #AI and #analytics to drive business growth and enhance customer experiences. 🔗 Register Today! http://2.sas.com/6043S1FLU

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"The real power of #AI isn’t replacing humans—it’s supercharging humans," says Merkle’s Global President Pete Stein. Read how this emerging tech is providing businesses with better insights and #CX in Forbes: https://bit.ly/3ORBxvE

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This...please attend live, watch the recording, read the recap... When two data clean rooms walk into the room the client's life just gets easier. Interoperability is going to be made possible because of the investment and need for data collaboration. Very excited to hear this discussion between Lauren Wetzel and Adam Solomon facilitated by Becky Schilling at EMARKETER. Data clean rooms are tools (that should be) built for all. From the executive business leaders to the data science wizards - data collaboration and the ability to safely facilitate data collaboration is a critical need that DCRs are solving. Partnerships across DCRs will just enable a wider audience of users to reap the benefits.

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Branding is about forging a deep, meaningful connection with your audience, which is crucial for generating leads and enhancing revenue growth. A strong brand increases customer loyalty and market share, providing resilience during market fluctuations. Effective branding will drive higher lead conversion, justify premium pricing, and spur organic growth through customer advocacy. #Branding

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An important perspective on getting to integrated platforms that ultimately drive highly effective customer experiences. Looking to streamline workflows and unify your tech systems? Merkle's Daniel Knauf and other experts discuss strategies for balancing efficiency with minimal disruption in this Forbes article: https://bit.ly/3Pnzuj4

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How can organizations get started with building an #AI strategy? Merkle's Courtney Trudeau breaks down the fundamentals in this article for The Drum: https://bit.ly/4cV9gPo

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What's the difference between correlation and causation in media measurement? Correlation: Consumer sees an ad and makes a purchase. The ad must have caused the purchase. Causation: When we stopped running this ad in this test market, we saw sales drop X% in that same market, compared to control markets. The media is causing this many sales. The question remains, how do brands get to causal measurement? Mahesh Jeswani, Measured's SVP of Product breaks down how brands are leveraging automating geo-testing to uncover the cause and effect relationship between marketing sales. Don't sleep on this Q&A session! 🔥 #mediameasurement #geoexperiments

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Is your intent data strategy truly giving you a competitive edge? Our new eBook, "The Deprecation of Third-Party Intent," explores the limitations of common data sources and the necessity of diversifying your approach. Discover how to move beyond false positives and bidstream issues to gain actionable insights. #B2BMarketing #IntentData #CompetitiveAdvantage

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