Mindblown: a blog about philosophy.
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We Don’t Make the Models You Use… We Make the Models You Use Better
In the world of brand data analytics, models are expected to provide consistent predictive, decision-support to grow the business. Traditional models often fall short of delivering the full potential they promise. They lack the ability to ask the right questions, suffer from incomplete and inaccurate data, and fail to provide insights that drive the full…
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| Chart of The Week | Fast Casual Dining Restaurants: Change in Brand Preference
The MSW TBSM tracking service measures Brand Preference as one component of the survey. Brand Preference was collected for approximately twenty major Fast Casual Restaurant brands in both Q1 2022 (among 1000 demographically and geographically balanced respondents) and Q1 2023 (among 500 similarly balanced respondents). This week’s chart examines the five fast casual options that…
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Super Bowl – Super Price Tag: Is Super Bowl Advertising Worth It?
The Super Bowl is an enormous event – arguably the biggest in the United States. And it’s much more than the game itself. It’s also the parties, the playoff pools, the bloated halftime show and of course the commercials. Advertising has become an integral part of the event. But that prominence comes with quite a…
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TBSM Chart of the Week 2022 Review
The MSW TBSM tracking service collects a variety of metrics across a wide range of categories. Throughout 2022, we published Charts of the Week using data drawn from the TBSM survey. Six different categories and multiple measures within each category have been explored. The categories were: • Subscription Streaming Video Services • Cryptocurrency Exchanges •…
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The “5 CMO Objectives” According to the AMA / Deloitte and How MSW Addresses Each
The 26th edition of the annual CMO survey conducted in February 2021 for the American Marketing Association by Deloitte, identified that the importance of Marketing had increased during the pandemic. CMOs said that they were focused on brand building and reported 5 specific “Objectives”. MSW Research directly addresses each of these “5 CMO Objectives” with…
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The Crypto Bowl: How Crypto Exchange Super Bowl Ads Affected Awareness and Brand Preference
As usual, there was almost as much hype about the ads in the Super Bowl this year as there was about the game itself. And one of the advertising storylines this year centered around Cryptocurrency Exchange ads. This represented a coming-out party for Crypto Exchanges on the year’s biggest advertising stage. While the four Crypto…
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The Persuadables℠; the consumer segment with the highest ROAI
The Persuadables℠; the consumer segment with the highest ROAI. Essentially, it’s a narrowing of your target from a broad-based approach to those consumers who already have a likelihood of choosing your brand. And because they already have a predisposition towards your brand, they are more responsive to advertising, easier to move and ultimately return a…
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Assessing the Utility of MSW’s Insight Rabbit Copy Testing Scores in Predictive Analytics: A Validation Case Study
Copy testing has been utilized by advertisers for decades to assess the quality of advertising copy. MSW’s TouchPoint™ copy testing system has been extensively validated, showing that test results on key metrics are predictive of subsequent sales results from airing the tested advertising. A partnership between MSW and predictive marketing analytics firm Keen set out…
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Unusual Statistical Phenomena, Part II: Stat Testing of Percentages
Sometimes when looking at the results from survey data, we see something that makes us say ‘huh?’ or ‘that doesn’t look right’. When the odd results persist after verifying the data were processed correctly (always a good practice), there is typically still a logical answer that can be uncovered after doing some digging. Sometimes the…
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Do you ever look at your data and say, “huh?” The Unusual Statistical Phenomena of Simpson’s Paradox
Sometimes when looking at the results from survey data, we see something that makes us say “huh?” or “that doesn’t look right”. When the odd results persist after verifying the data were processed correctly (always a good practice), there is typically still a logical answer that can be uncovered after doing some digging. Sometimes the…
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