Nik Hengel

Ever wonder why companies don’t include the survey methodology in a press release? Simple. The majority of the time the survey is flawed and they don’t want to disclose that to the public. It’s highly likely they went with a cheap survey company and didn’t realize they made a bad decision until after the survey was completed. At that point they had a choice - do nothing with the results or release the flawed results and hide the “source” (typically defined in the press release as a “independent third party research firm” and not the actual name of the market research firm which SHOULD ADD validity). Hiding the name of the market research firm that conducted the survey is a clear indicator the results likely have errors. I feel like Roz from Monsters Inc. “I’m watching you. Always watching. Always.” PS - if you have a different reason why the methodology isn’t included or the name of the market research firm isn’t in the #PR or #marketing materials you might have worked with I would love to hear why! PPS - Roz was voiced by Pixar story artist Bob Peterson! I never knew it wasn’t a grandma until today! 😂

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Brands are still in the midst of figuring out how to best integrate #AI into their day to day business. In this @Business Reporter article, my colleague @Eda Cetinok dives into Ipsos’ GET.AI framework that helps organizations prepare for AI adoption. Check it out: https://lnkd.in/gdDAVKW5

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We've curated a list of essential tips to elevate your survey game and ensure impactful results. Take a look at 9 tips to help guide you towards survey success while offering important considerations when creating and implementing surveys. Download now!

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We get it - time is your most limited resource. When you're overloaded, it’s hard to focus on data and research needs. That’s where Stratus steps in. Our research goes beyond collecting information to delivering insights you can immediately act on. We break down complex data into clear, actionable steps that integrate seamlessly into your existing strategies. No extra burden, just the essential insights to help you stay competitive and make informed decisions faster. #AgBusiness #AgIndustry #AgResearch

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There are multiple sources of Insights and Analytics in most big companies. It's not just consumer insights that are guiding executive decision makers, which sometimes leads to faulty inferences and less-than-ideal actions. AI has only compounded this problem. That's why Ipsos’ broad suite of AI tools is anchored in insights from real people and vetted by subject matter specialists - powering Insights professionals to channel the authoritative voice of the consumer, faster and more effectively than ever before. https://lnkd.in/gs_7RZHC Ipsos: Trusted. Global. Innovative. Fast. Flexible. #ipsosmovesfaster

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Great perspective! I wanted to share this article on Open Source MMM and considerations for Internalization. What do you think?

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More from our series of analytic highlights of May! Let me know what you think!

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Are you considering ways to harness the power of #AI in your business? If so, you’re not alone. In this Business Reporter article, Eda Cetinok dives into Ipsos’ GET.AI framework that helps organizations prepare for AI adoption. Check it out: https://lnkd.in/gz3ZRBcG

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Check out The Path https://lnkd.in/gkmMQi_p for career reflections and advice from top Insights & Analytics leaders, across a variety of industries. What does it take to become Medtronic’s VP of Data, Insights & Performance Marketing? Take a look at Aniz Ruda’s career path for inspiration. Register to receive regular updates on featured leaders throughout 2024. #thepathtoinsights

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I hear a lot about bots and bad respondents in market research. I'm a big proponent of taking respondent quality seriously because it can impact certain types of studies systematically (e.g., segmentations). We made an automated bad respondent detector that looks for internal consistency in survey responses. The last study we used it on it only detected only 1 completely random respondent (e.g., a bot answering completely randomly). But it still detected 364 bad responses (20% of the data) using a more sophisticated method. We detect based on a combination of low internal consistency in responses and low variation. (All of this is in addition to traditional detection methods like speeding.) For example, someone answering 2s and 3s for everything with no discernable pattern would get caught. This is respondent behaviour that would avoid traditional algorithms for bad data quality. I think either our field partners are catching all the random bots, OR the bots are "smart enough" to answer like lazy humans who use subsets of scales and anchoring. The 20% bad respondents are also likely to be many real humans who aren’t paying much attention. This figure may be conservative, but you have to tweak detectors to be the right balance between false positives (throwing away real respondents) vs. false negatives (not throwing away a bot). But it’s interesting that >99% of what we’re catching is due to behaviour that would avoid less sophisticated methods. Either humans evolved from straightlining to minimal (but random) variation or bots have evolved from fully random variation to minimal (but random) variation. (Our tool uses a bunch of past datasets, both real and synthetically created, extracts features that are markers of internal consistency, and uses a neural network on top of all that to make a final prediction of good/bad respondent. Internal consistency is a relative measure and is derived automatically study to study based on available data. We trained the model to differentiate between high quality real data and randomly created data to match known and expected patterns of bad responses.) Dig Insights, Upsiide, by Dig Insights

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In today's fast-paced and ever changing market research landscape, who couldn't use a few good tips? We've compiled 9 essential strategies to elevate your survey game and achieve impactful results. Check it out and download for free now! #MarketResearch #SurveySuccess #ResearchTips #DataDriven

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Decision intelligence is our north star, and that is powered by our high frequency, high quality data and analytics. Want to learn more about how that works and results in actionable insights? Please check out the webinar on Morning Consult's survey research technology that I had the privilege to co-present with my incredible colleagues Alexander Podkul and James Martherus. #decisionintelligence #dataquality #highfrequencydata

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Join us for our next KEYS webinar as we share findings from our new Ipsos Generations Report and discuss how businesses can foster genuine connections with diverse generational groups and take the right steps to prepare for tomorrow’s population realities. https://lnkd.in/gScbFTTU

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Great webinar to check out!

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Why is video the future of #B2B marketing? 📈 Merkle's Sonya Hand and other execs reveal how video is helping brands break through the noise and connect with decision-makers in new ways. Explore the full discussion in The Drum: https://bit.ly/3XdzgPf

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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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