Digital analytics for web
What is a Data Product Accelerator for web analytics?
A data product is an actionable data set you can create through advanced user tracking.
It is the foundation of a data application, which could be a churn- prediction model or marketing-attribution model, for example.
A Data Product Accelerator, or DPA, is a guided recipe that helps data teams to undertake advanced analytics and set up a customizable dashboard by following a simple, step-by-step process.
Ultimately, you can build a deeper understanding of customer behavior on your mobile apps, so you can use data to influence business decisions.
Why choose Snowplow for your digital analytics?
Snowplow is a Behavioral Data Platform, built specifically for capturing the smallest details of user behavior and sending this data to your storage destination in a highly-usable format.
We specialise in helping companies create ultra-predictive data sets for AI and advanced analytics. These data sets offer a level of insight that can differentiate you from the competition.
The data hits your warehouse or lake AI- and BI-ready, freeing your data team from endless wrangling and preparation and allowing them to conduct sophisticated experiments to maximize engagement.
Here are some of the features of Snowplow which help you to reengage more customers:
Robust user identifiers
Snowplow provides out-of-the-box user IDs, including session IDs, cookie IDs, and IP addresses.
First-party server-set cookies
These cookies can track customers for up to 400 days (at the time of writing), including Safari users normally blocked by ITP restrictions. Snowplow is actually deployed in your own cloud environment, ensuring this is done in a highly compliant way.
Out-of-the-box e-commerce features
Snowplow provides a set of e-commerce tracking methods and associated JSON schemas that you can use out of the box (or you can create your own custom data structures for your own specific business needs).
130+ metrics tracked automatically
Other metrics which can help you optimize abandoned cart recovery, such as the page the user was on before and after the event happened, the device, location, and other specific user information. Take a look at our modeled data.
Event properties are kept within a single table
This means generating user segments to answer advanced questions is straightforward. These questions include the optimal time to send communications, what counts as an abandoned basket, and which channels to choose.
If you want to see Snowplow BDP in action for yourself, you can now try it for free; set up takes around 30 minutes.