The aim of a subgroup analysis is to analyse the consumption behaviour of certain products/product groups in different population groups (→ subgroups) and to measure how correlations between consumption and set target variables (e.g. health risk) differ per subgroup.
[custom_breadcrumb]
Subgroup analysis
Questions that our customers ask themselves:
- What effect does the consumption of my products have on different population groups?
- In which population group are the expected effects of the upcoming regulation the greatest?
what you get
- Evidence-based information on the impact of selected effects on different population groups
- Exemplary results:
- Consumption of risk-reduced products reduces the likelihood of chronic disease by 5% in the 45-60 age group.
- The expected decline in consumption is highest in the 15-20 age group, as this age group is the most price-sensitive.
Our approach
Step
01
Data research and preparation
Available data (public or provided by clients) is collected, processed and analysed according to different subgroups (e.g. gender and age groups).
Step
02
Calculation of the expected effects per subgroup
Based on analysed data, characteristics or effects (e.g. changed consumption behaviour) are determined per product and/or per subgroup.
Step
03
Identification of implications
Available data (public or provided by clients) is collected, processed and analysed according to different subgroups (e.g. gender and age groups).
let's
talk
Contact us directly and let's talk about a possible collaboration.