Behavioural datasets, ready to query
Aggregated behavioural features built from first-party consented activity, delivered as native tables through Snowflake and Databricks. There is no pipeline to build and no raw event rows to process, just derived signals ready to join to your own data.
CPG Beverage Personas
Individual-level beverage purchase profiles, built from first-party consented retail purchase activity. Each row is one anonymised person, with every beverage purchase classified to a brand and category, then rolled up into loyalty, need-state and momentum signals.
- 78 to 88
- Features per profile
- 8
- Beverage categories
- US, UK, India
- Markets
- Monthly
- Refreshed
Snowflake Marketplace, Databricks Marketplace
View datasetGLP-1 Journey Personas
Individual-level GLP-1 behavioural profiles, built from first-party consented AI chat, browsing, search and purchase activity. Each row is one anonymised person, placed on where they sit in the GLP-1 journey, from early awareness through on-drug to maintenance, using transparent rule-based signals.
- 150
- Features per profile
- 5
- Journey stages
- US, UK
- Markets
- Monthly
- Refreshed
Snowflake Marketplace, Databricks Marketplace
View dataset