Use cases

Tracking studies

Every new wave. No new work.

Cauliflower brings brands, markets, target groups and survey waves together in a consistent Research Model. New data is automatically integrated into the existing tracking structure, compared and prepared for dashboards and reports.

Beforeweeks Afterminutes

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

01

Automatically integrate new waves

Cauliflower identifies recurring structures and adds new survey data to the existing Research Model.

02

Compare markets and brands consistently

Entities, target groups and metrics remain consistently defined across all waves.

03

Account for base sizes and significance

Analyses show the relevant base in each case and flag statistically significant differences.

04

Update dashboards and reports

New results flow directly into visualizations and native PowerPoint reports.

Modules used

Brand TrackingWave ComparisonSegmentationSignificancePowerPoint Export

One tracking model instead of separate waves

8Markets
5 yearsTracking history
4,000Columns in the dataset

A shared structure connects all markets, waves and variables. This keeps comparisons consistent, even as the tracking study grows over the years.

Weeks become minutes.

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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