Overview
Product Information on Composable CDP
What is Composable CDP?
Composable CDP Pricing
Composable CDP Product Images






Hightouch is a Composable Customer Data Platform that empowers companies to activate their data warehouse to power personalized marketing and business operations. Hightouch enables anyone to deliver personalized customer experiences, optimize performance marketing, and move faster by leveraging data across their organization.
Do You Manage Peer Insights at Hightouch?
Access Vendor Portal to update and manage your profile.
Hightouch has become an integral part of my workflow as it allows me as a marketing person to independently get data into the customer engagement platform I use. Getting new user attributes and events for our customer engagement platform had long been a bottleneck for my team, but now thanks to Hightouch, we can create audiences utilizing the vast amounts of data available in Hightouchs Schema, and then sync them to our customer engagement platform either as user attributes or as custom events.
UX is clear and easy to understand.
What I appreciate most is the seamless integration with our datalake and the intuitive nature of the audience segmentation tool. It has completely eliminated the need for manual data exports, drastically reducing our time-to-market for digital campaigns. The platform is robust and reliable making the sync process to other platforms straightforward and automated.
There are some things that stand to be improved with the user interface, for example when it comes to data visualization (Charts under Intelligence): Pie chart is not available as an option, sorting options are not available when you have multiple Group by dimensions, and the data labels for the bars on a bar chart are truncated. Also, data isnt automatically refreshed and you must manually click a button to refresh a dashboard or a chart. For me these are minor concerns, as I do not use Hightouch for data analysis.
Pricing is prohibitively high and feels punitive.
There is still some manual effort required when defining complex data filters and maintaining consistent naming conventions across a large volume of audiences. There is still room for further automation and more advanced collaborative features to help teams manage large scale deployments.