Building a Proprietary WhatsApp Data Lake
Posted: Tue May 20, 2025 7:36 am
Owning your data = owning your advantage.
Why Build a WhatsApp Data Lake?
Full control over behavioral insights
Can train custom AI agents on your own data
Enables longitudinal studies (e.g., seasonality, CLV forecasting)
Unlocks data resale or partnership models (if ethically and legally sound)
What to Store:
Raw messages (timestamped, anonymized)
Tags (purchase intent, complaint type, persona)
Interaction flows (entry point → resolution path)
Campaign metadata (source, creative, incentive)
Stack Options:
BigQuery, AWS japan whatsapp number data Redshift, Snowflake for warehouse
ETL via Fivetran, Airbyte, or manual exports
BI layer for analysis and forecasting
Over time, this becomes your strategic moat — a data asset no competitor can replicate.
Why Build a WhatsApp Data Lake?
Full control over behavioral insights
Can train custom AI agents on your own data
Enables longitudinal studies (e.g., seasonality, CLV forecasting)
Unlocks data resale or partnership models (if ethically and legally sound)
What to Store:
Raw messages (timestamped, anonymized)
Tags (purchase intent, complaint type, persona)
Interaction flows (entry point → resolution path)
Campaign metadata (source, creative, incentive)
Stack Options:
BigQuery, AWS japan whatsapp number data Redshift, Snowflake for warehouse
ETL via Fivetran, Airbyte, or manual exports
BI layer for analysis and forecasting
Over time, this becomes your strategic moat — a data asset no competitor can replicate.