Fuel predictive models with rich, behavioral data
Make better business decisions, faster, by delivering real-time, structured behavioral data to your AI and ML models.
Train models with
Eliminate data wrangling
Snowplow delivers data in a highly expected format at a consistent level of granularity to your warehouse or lake, ready to train models with no wrangling.
Ensure complete accuracy
Snowplow ensures complete and accurate data, with every data point validated up front against a user-defined schema, with bad data stored for debugging and reprocessing through Snowplow.
Work with your preferred tools
With data loaded in your data warehouse in a ready-to-use format, you and your team can leverage your data in your preferred AutoML platform and data science tools.
Tap into predictive
Inject intent into your data asset
There is no stronger predictor of future behavior than past actions. Snowplow has been working with companies to predict intent for over a decade.
Augment model accuracy
With 130+ properties appended to each event out-of-the-box, you can use a large number of features to create accurate model predictions.
Capture the context behind the data
With hundreds of custom entities that define where and how an action took place, your AI/ML models have hundreds of data points for model training.
Operationalize AI in
Deliver data at low latency
In-session business decisions need to be triggered at a reliably low latency. Snowplow’s SLAs guarantee delivery of data at a low latency to your warehouse, lake, and stream.
Ensure reliability, at scale
Snowplow autoscaling services ensure reliable loading of events to destinations in seconds, even at enormous scale and unpredictable volumes.
Maintain trust and explainability
Transparent processing of the data from source to prediction means the actions taken are explainable and justifiable, key to operationalizing models.
“With Snowplow we are able to track all the events we want and take immediate action. We can identify signs of potential churn and take targeted action to prevent it; we can segment audiences based on engagement, interests, and many other qualifications to make the experience as individual as possible.”HERVE MENSAH | DIRECTOR - DATA SCIENCE & INTEGRATION
How does it work?
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