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Archive for the ‘AI Creative Effectiveness Score’ Category

| Video Blog | Synthetic Data, Sample Boosting, and more…

September 27th, 2024 Comments off

 

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, as the impacts on your data set can be very different, even opposite. This distinction is key to maintaining data integrity.

➟ Want to learn more about how AI impacts data quality? Contact MSW Research to learn more about our AI-driven strategies, essential for accurate, reliable data.

➟ Follow or connect for more from our three-part series on AI and Market Research featuring Partner and CEO Art Klein.

| Video Blog | Causal and Generative AI

September 27th, 2024 Comments off

 

✔︎ 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 analyze media content, predict in-market sales, and provide strategic recommendations to improve creative performance—within minutes.

➟ Contact us to see how it can work for your brand.

➟ Follow or connect for more from our three-part series on AI and Market Research featuring Partner and CEO Art Klein.

| Video Blog | Let’s Talk AI – Sample Boosting

September 27th, 2024 Comments off

 

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 to very different results when synthetic data is involved.

➤ MSW Research’s AI tool does not create synthetic data or predict human responses. Instead, our AI combines generative and causal models, trained on our data, to objectively evaluate media content and predict in-market sales performance.

In just minutes, we provide actionable recommendations to improve creative effectiveness.

➟ Follow or connect for more from our three-part series on AI and Market Research featuring Partner and CEO Art Klein.