Tracking studies
New waves. Keep developments in view.
Compare brands, countries and target groups across survey waves. Add new data and continue using your dashboards. Your tracking study remains a shared foundation for current questions and long-term developments.
The problem
Tracking studies are conducted regularly, but are often rebuilt from scratch in every cycle: combining data, mapping variables, aligning waves, updating charts and adapting presentations. The more markets, brands and points in time are added, the greater the manual effort becomes.
How Cauliflower solves it
Add new waves
Add separate datasets per wave or one combined dataset with all waves and review the data matching. New text analyses start after a cost overview and your confirmation.
Compare markets and brands consistently
Entities, target groups and metrics remain consistently defined across all waves.
Account for base sizes and significance
Analyses show the relevant base in each case and flag statistically significant differences.
Update and export results
Quantitative dashboard results update after data matching. New text responses are analysed after your confirmation; export the presentation in the required state.
Modules used
One tracking model instead of separate waves
A shared structure connects all markets, waves and variables. This keeps comparisons consistent, even as the tracking study grows over the years.
The next wave. The familiar workflow.
Do not rebuild your tracking study with every new wave. Use a platform that integrates new study data into the existing logic and makes it directly available for analysis and reporting.
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