Professionals skilled in quantitative market analysis

1. Predictive Modeling: Using historical data to create models that can predict future trends, customer behavior, or market changes.
2. Segmentation Analysis: Dividing the target audience into distinct groups based on shared characteristics, allows for more personalized marketing strategies.
3. Conjoint Analysis: Evaluating how different attributes of a product or service (e.g., price, features) impact consumer preferences and purchase decisions.
4. Factor Analysis: Identifying underlying factors or latent variables that influence survey responses and relationships among variables.
5. Regression Analysis: Examining the relationships between variables to understand which factors have the most significant impact on an outcome.
6. Cluster Analysis: Identifying groups of respondents or products with similar characteristics, helping in market segmentation and targeting.
7. A/B Testing and Experimentation: Conducting controlled experiments to test hypotheses and assess the impact of changes or interventions on consumer behavior.
8. Multivariate Statistical Analysis: Examining the relationships among multiple variables simultaneously to understand complex market dynamics.
9. MaxDiff Analysis: A method for understanding relative preferences by asking participants to choose the best and worst options from a set of choices.

These and other advanced analytic techniques enable us at Takedown Research to dig deeper into survey data, extract valuable insights, and help you make data-driven decisions so you can drive your business growth and competitiveness. 

The choice of method depends on the specific research objectives and the complexity of the data at hand.

For more information, if you have an RFP or you would like pricing please contact either Dave@takedownresearch.com or Jpilar@takedownresearch.com.