Welcome to the Composable CDP with Predictive ML Modeling accelerator. This accelerator guides you through building an advanced Composable Customer Data Platform using a selection of excellent tools for each step of the process.
Once finished, you will be able to use predictive models to achieve a competitive advantage from customer behavior data on your website, driving higher return on ad spend.
Data loaders like Fivetran can play an important role in a composable CDP. In this accelerator we don’t go into detail on setting these up, see Fivetran’s Documentation if you want to learn more.
In approximately 1 working day (~6 working hours) you can achieve the following:
Complete our Advanced Analytics for Web accelerator if you don’t have any Snowplow modelled web data in your warehouse yet. You don’t need a working Snowplow pipeline, a sample events dataset is provided. You can also choose to skip this altogether and upload the 3 derived tables (snowplow_web_page_views , snowplow_web_sessions , snowplow_web_users ) directly through these downloadable csvs. For instructions on how to do this, check out the official Databricks documentation or Snowflake documentation .
Predictive ML Modelling
Data Activation
user_id
in the tracker to your business user identifier (see docs
) so that the user can be identified and connected to your Hightouch destinationsA propensity to convert ML model that empowers you to intelligently market campaigns to website visitors that are most likely to convert.