Category: AI
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Synthetic Data, Sample Boosting, and more…
When you hear terms like synthetic data or AI sample boosting, they may sound positive due to their connection with AI. ⚙️ ▪︎ However, these techniques can have significant effects on your data—often similar to the survey fraud issues our industry faces. ▪︎ Understanding the difference between sample boosting and traditional weighting is crucial,…
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Causal and Generative AI
✔︎ At MSW Research, we combine the strengths of generative and causal #AI to build our Creative Effectiveness Score. While generative AI creates content based on existing data, causal AI predicts future outcomes and provides insights into why those outcomes occur. That’s why our AI Creative Effectiveness Score uses both. This allows it to…
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Let’s Talk AI – Sample Boosting
Sample boosting is becoming a popular term – the use of synthetic respondents to enhance or replace real survey participants. These are also referred to as synthetic users, synthetic personas, or virtual audiences. ➤ The concept of sample boosting—adding synthetic respondents to surveys—is sometimes confused with old-school weighting techniques. However, generative AI can lead…
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Leveraging MSW’s Creative Effectiveness Score
Since the 1960s, MSW Research has been a leader in evaluating advertising across various media. Today, we’ve harnessed that experience in an #AI tool that delivers a Creative Effectiveness Score predictive of sales. ► MSW Research’s Creative Effectiveness Score metric evaluates ads on 150 creative elements proven to drive brand preference, offering insights across…
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| Video Blog | Why The Industry Needs MSW’s AI Creative Effectiveness Score
Your doorbell camera can recognize a person, a dog, or a package. That doesn’t make for effective advertising. While AI might be great at identifying these visual elements, it struggles to grasp the nuances of emotion. Here’s where MSW Research’s Creative Effectiveness Score steps in: Our blended approach, combining AI and human insights, bridges this…