Aaron Czinn

MMM never went away! Costs in here are on the extreme end to make this platform sound cheap, and the article totally misses the mark on how companies like Blend help companies to build and own their own MMM platform. https://lnkd.in/e7r6xvQ4

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Did you know that Data Science can actually be cool? Here is a teaser- Observational data leveraged in the right way can have a massive impact on your companies growth and KPI's. Check out this awesome piece shared by our own Anže Kravanja to learn more and make sure your brand or agency is thinking about their A/B testing in the right way! #digital #analytics

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Marketers today face three trends, precipitating the need for more sophisticated assessment of media spend: [1] The need to measure and optimize for ROI in both performance and brand spend; [2] To do this in an environment where event-level data is declining in availability due to privacy-related considerations; [3] To capture the complexities of modern digital media while incorporating traditional media such as linear TV. All of these have generated a resurgence in Marketing Mix Models (MMM) which deliver aggregate assessment of media spend across channels. To empower the industry in this area, we have released #Meridian, an open-source #MMM package, which delivers new ways to integrate data, modeling and optimization in one integrated package: We are looking to partner closely with industry in this area of high importance. Please read below to learn more and work with us: https://lnkd.in/gqGWaZKi Additional references: Sign-up for #Meridian: https://lnkd.in/g6jF8cQi

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Recent New York Business Intelligence & Market Research Hiring Trends 🗽 New York's data-driven landscape is evolving rapidly, with notable shifts in Business Intelligence and Market Research hiring. Here's what you need to know: - Increased Demand: Businesses in NYC are actively seeking BI and Market Research professionals to harness data insights for strategic decision-making. - Tech Integration: The integration of advanced analytics tools is driving the need for skilled professionals to interpret complex data sets effectively. - Remote Work Adaptation: With the rise of remote work, companies are prioritizing candidates who can excel in virtual environments and collaborate seamlessly. - Specialized Skillsets: Employers are seeking candidates with expertise in data visualization, predictive analytics, and market trends analysis. - Competitive Salaries: In response to the high demand, salaries are competitive, offering lucrative opportunities for top talent in the field. Looking to explore new opportunities in Business Intelligence or Market Research in New York? Connect with Aspire for personalized career guidance and access to top-tier positions. Visit us.weareaspire.com to kickstart your next career move. 🚀 #NewYorkJobs #BusinessIntelligence #MarketResearch Remember, staying informed on industry trends is key to navigating the job market successfully. Stay tuned for more updates and insights! #CareerDevelopment #DataAnalysis #NYCHiring"

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As a Measurement professional I continue to see one very specific skill where we still have the edge over Machine Learning. And it’s the skill MOST of us in measurement like the least. We are people, we have the capability to empathize, to be proactive, to capture context clues in real time. Machine Learning cannot do that. Being people in a room with other people set us apart from the computer. We need to not fear what Machine Learing and AI represent to our profession but learn how to harness it to make us better partners to our clients IN THE ROOM and out. Our capabilities are only enhanced by where Machine Learning is taking us. It is up to us to validate and capitalize on our unique skill set of being human. #Measurement #Analytics #Insights

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Auditable AI(TM) for targetable look-alike audiences that outperform today's black-box AI alternatives, in market today. Come see it to believe it!

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Is Bing intentionally monetizing organic map listings in search? For a large #retail client’s  #affiliatemarketing program, we uncovered an anomaly in the Bing Map SERP (search engine results page) that turned a seemingly benign search into an affiliate-sponsored result. We’ve outlined some findings here: https://lnkd.in/dQr_DqiU #SEM #affiliatemarketing #marketingROI #searchengines

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Thanks for raising the issues again Finn. One clear problem is that unfortunately too many researchers confuse making surveys or qual response less stressful with gamification. For a decade I've heard a lot about the latter Nd how we can learn from the gaming market. In reality the industry too often thinks adding characters or more fun answer options or the " chance to win if you complete the fun tasks" as gamification. It's not. Go look at successful games, from angry birds to world of warcraft. They create worlds where the player is there for the game, the data collected is huge but indirect. The last few years I've spent more time with esports and gaming companies. Companies that create "gamification" that people pay to play. When was the last time a market researcher was paid by respondents so they could play ? When was the last time market researchers paid gaming companies to develop ways to get the answers we seek inside their games ( and yes I know smarter MR people ate starting to use in game social like Discord)?. It's a big subject .. more dis ussion needed.thanks again for reminding us

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Here's one morsel of advice from Kyle Shank, Director of Media Tech, Analytics and Ops at The Hershey Company🍫: "No resource is valueless and everything has a cost. Make sure you understand how much you need to gain from an investment to make it worthwhile." Get more tips on clean room success in this on-demand webinar from LiveRamp:

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Attention advertising industry professionals! Nielsen's reports have been the go-to source for understanding people's time on ad-supported TV for years. However, it's time to address the elephant in the room - this approach is no longer useful. We need to isolate ad-supported TV data to find more effective ways to measure TV advertising. If you're curious about the ad-supported TV-viewing habits of your strategic target audience, my company has been making that data readily available to anyone who signs up. Check out our TV+ platform for planning insights at https://lnkd.in/eraY9aQ4. Let's work together to push the boundaries of data analysis in the advertising industry and find more effective ways to measure TV advertising. #AdvertisingIndustry #TVAdvertising #DataAnalysis

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I'll be speaking at Programmatic IO on May 21st! If you want to learn more about custom algorithms, when you should consider them, and how you can implement then, this session is for you. https://lnkd.in/euNZNjG6

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If you're looking to learn more about measurement in creator marketing, definitely check out what Gazmend Alushi has to say on the FutureView Podcast! https://lnkd.in/eR7uFthy

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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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The debate between probabilistic and deterministic measurement methods is heating up. Cookies were never perfect, but as they've continued to deteriorate, I've been talking to clients about the importance of statistical regression models combined with causal experiments to triangulate the impact of paid media. How are you measuring results? #MarketingMeasurement #DigitalStrategy #MMM

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Did you miss us last week? We had a blast and covered some really good ground - hop on and watch the video or read the blog. Reach out if you'd like to talk about it! #predictivemodeling #machinelearning #letstalkaboutAI #acquisition #customermodeling

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We're de-mystifying measurement! If you're curious about the difference between MMM and MTA models, Probablistic vs Deterministic measurement, and how the resulting data can be leveraged to improve your media campaigns, this is for you. The link to register is in the comments below.

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🚀 I am absolutely thrilled  to share that I have joined Analytic Partners as their new VP, Commercial Analytics Ambassador. 🚀 I bet at least a few of my friends, colleagues, family members or followers are thinking, “WTF is a Commercial Analytics Ambassador?”  🤔 This post is for you. ❓ What is Commercial Analytics ❓ Commercial Analytics is the evolution of media mix modeling. To summarize 70 years of history into 19 words: factors broadened, latency decreased, frequency increased, algorithms advanced, presentations become platforms and use case expanded to additional C-level roles. ❓ What is my new role ❓ My role is to tell this story, help executives understand where their organization fits in this 70-year journey, and accelerate their modernization. Simply put: if you are investing in econometrics today, it should be a commercial analytics approach. If not, it’s time to put it on your roadmap. So if you are a fan of econometrics, causal inference modeling, algorithmic aversion or most importantly quantifying large investments that seem to defy measurement, consider giving me a follow.  I’m suspicious there is a lot of great stuff to come. 🙌  

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🗞️ Top stories in #Ads, #Marketing & #Data for this week: 🔹 The Verge reported that advertisers are having trouble with Meta's Advantage+ tools... and that's not too surprising, honestly. More on that here: https://lnkd.in/gXnVvsUW 🔹 NBC News reported that Instagram and Twitch are updating their algorithms to amplify smaller, short-form video creators. More on that here: https://lnkd.in/gg4SCYPR 🔹 The New York Times reported that the owners of big publications like Orlando Sentinel, The Denver Post and New York Daily News are suing OpenAI and Microsoft over the use of news articles in training data for generative AI... which might be the first of many. More on that here: https://lnkd.in/grpiNJ-y -- Big moral to today's news? Be authentic, dabble in some short-form content, and always make sure you control what you can control. AI could be great some day, but it's not... yet.

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Analytics made easier? Excited to hear Bryan McRae explain how having a connected environment can become a company’s source of truth not just for marketing analytics, but for business analytics and more. #MarketingMadeBetter

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