What’s new
- Search and read the docs from Claude, Cursor, and other AI tools with the new docs MCP server.
Find the right starting point
Start with what you want to do. Each path points you to the product area and setup guide that best matches your goal.Build audiences and explore data with AI
Create audiences from warehouse data, build automated journeys, and use the built-in agent to explore segments and analyze campaign performance in natural language.
Sync warehouse data to business tools
Sync modeled data to sales, support, analytics, and internal tools on a schedule or when data changes.
Optimize message, channel, and timing
AI Decisioning uses reinforcement learning to recommend the best message, channel, and timing for each customer, then measures what worked.
Personalize in real time
Tailor website and app experiences based on what a customer is doing right now.
Unify customer profiles
Resolve identities across devices and channels so teams can build on a more complete customer record.
Set up governance and safe self-serve
Set up permissions, approvals, and ownership boundaries so each team has the right level of access.
Increase ad match rates
Help ad platforms recognize more of your customers by adding additional identifiers to synced audiences and conversions.
Explore products
Hightouch products fall into two groups. You can start with one and expand over time — they all work from the same warehouse data.Marketing
Build audiences, create campaigns, and measure results — with AI agents that help at every step.- Customer Studio — Build audiences, run journeys, and use the built-in agent to explore data in natural language
- Agents — Ask questions, analyze campaigns, and draft reports grounded in your warehouse data
- Context Hub — Configure brand context, channel connections, and review settings shared across Agents, Ad Studio, and Lifecycle Studio
- Ad Studio — Draft and refine ad creatives, then export to ad platforms
- AI Decisioning — Recommend the best message, channel, and timing for each customer using reinforcement learning
- Intelligence — Run experiments, compare results, and track campaign metrics
Data platform
Infrastructure for collecting data, modeling it, delivering it to downstream tools, and powering real-time experiences.- Models — Define reusable datasets with SQL, dbt, or a visual builder
- Syncs — Deliver data to destinations on a schedule or when data changes
- Hightouch Events — Collect behavioral data from apps and websites
- Real-Time Personalization — Personalize onsite and in-app experiences
- Identity Resolution — Unify customer profiles across devices and channels
- Match Booster — Increase ad match rates with additional identifiers
Get started by team
Hightouch is a cross-functional platform. Different teams own different parts of setup and daily usage.Understand how Hightouch works
Before diving into setup, these pages help you build a mental model of the platform:- How data activation works — Sources, models, syncs, destinations, and change data capture: the building blocks underneath everything in Hightouch.
- Daily usage for marketers — Audiences, agents, journeys, AI Decisioning, and measurement: the marketing workflow from data to results.
- Governance best practices — How to structure roles, approval flows, environments, and audit logs so the right people can move fast without creating risk.