The easiest way to collect, and operationalize, granular first-party customer data.
Get a DemoHeadless Analytics is an architectural approach that decouples data collection from reporting. It focuses on the efficient ingestion, curation, reconciliation, and enrichment of data. Data teams can then use their preferred tools for reporting and activation, directly on the collected data, or after loading/streaming it to their data warehouse.
Headless analytics enables you to customize data retrieval based on precise requirements, and seamlessly integrate analytics into any application or platform.
More than just a tracking SDK, headless analytics prepares your data for advanced use cases with features, classification and rollups built-in.
“Lassoo allowed us to fuel our media spend models with reconciled first-party behavioral data, giving us greater accuracy in our predictive capabilities.“
Deploy a granular first-party behavioral data pipeline in a just few minutes
A single code snippet works in the background to track all customer behavior. You get granular first-party data, enriched and reconciled for use in your data projects.
Access your data directly using SQL. Use your data however, and wherever you want. Stream it to your data warehouse or directly connect your reporting tools. Compatible with every ETL tool.
Easily ensure the quality and compliance of your data. Built in data governance capabilities give you confidence in your data, while helping you meet internal and governmental privacy requirements.
You get so much more than just a stream of raw event data. Built in features and classification help you execute on your advanced use cases faster.
Reduce the risks of relying on black-box data sources and
minimize time-consuming
and error-prone data wrangling
The Old Way
Attempting to combine and reconcile
behavioral data from 3rd party tools
The New Way
Create and capture behavioral data when and
where it happens for use
across your stack
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Let's put your data to work