Hightouch
Best data activation and customer data platform for marketing teamsHightouch is a data activation and Composable CDP (Customer Data Platform) that enables marketing teams to sync customer data from their data warehouse directly into marketing tools, ad platforms, and CRMs without engineering bottlenecks. The platform operates on the modern data stack principle: rather than copying data into a separate CDP silo, Hightouch reads from existing data infrastructure—Snowflake, BigQuery, Databricks, Redshift—and activates it wherever it needs to go. Marketing teams define audience segments using SQL queries or a no-code visual builder, then Hightouch automatically syncs those segments to Facebook Ads, Google Ads, Braze, Klaviyo, Salesforce, and hundreds of other destinations in real time or on schedule. The AI Audiences feature uses machine learning to identify high-value customer segments that manual analysis would miss—predicting which customers are most likely to purchase, churn, or respond to specific campaigns based on behavioral and transactional data patterns. Hightouch's Predictive Audiences leverage first-party data to build lookalike models that outperform platform-native audiences in ad targeting. The platform's identity resolution layer matches customer records across multiple data sources and devices, creating unified profiles that make downstream personalization more accurate. For performance marketers, Hightouch's ad platform integrations enable suppression of existing customers from prospecting campaigns, reducing wasted ad spend, and retargeting with extreme precision based on actual product behavior rather than approximated intent signals.
AI Models
Key Features
- Composable CDP syncing data from warehouse to 200+ destinations
- No-code visual audience builder and SQL-based segment definition
- AI Audiences predicting high-value segments from behavioral data
- Predictive Audiences for first-party lookalike modeling in ad platforms
- Identity resolution unifying customer records across sources and devices
- Real-time and scheduled syncs to ad platforms, CRMs, and marketing tools
- Customer suppression lists reducing wasted prospecting ad spend
- Reverse ETL architecture eliminating CDP data silos
Integrations
Pricing
1 source, 2 destinations, 1M rows/month
3 sources, 10 destinations, 10M rows/month, core syncs
Unlimited sources and destinations, AI Audiences, identity resolution
Unlimited scale, dedicated support, SSO, custom SLA
Pros & Cons
Pros
- Warehouse-native approach eliminates CDP data silos and duplication
- AI Audiences surface high-value segments that manual analysis misses
- Suppression and precision retargeting dramatically reduce wasted ad spend
Cons
- Requires existing data warehouse infrastructure—not suitable for companies without one
- SQL-based setup requires data or engineering team involvement for advanced segments