Composable CDP and agentic marketing platform for campaign automation
Hightouch operates a composable CDP with an agentic marketing layer, designed to let marketers build and execute campaigns without engineering handoffs. The tech stack reveals a mature data-warehouse-agnostic approach (Snowflake, Databricks, BigQuery all in use) paired with advertising and martech connectors (The Trade Desk, Braze, Iterable, Marketo, HubSpot). Sales-led hiring velocity (26 of 66 active roles) combined with pain points around quota attainment and complex buying committees signal a mid-market push into enterprise—a shift that requires both closing larger deals and scaling adoption within existing accounts.
Hightouch is a CDP and marketing platform built for in-house teams to design, personalize, and activate campaigns across owned channels and ad platforms. The product integrates customer data from warehouses (Snowflake, Databricks, BigQuery) and marketing tools (Salesforce, HubSpot, Braze, Iterable) into a single workspace, where marketers can compose and deploy campaigns with AI assistance. The company serves marketing and data teams at mid-market and enterprise organizations. Active projects span real-time personalization engines, clickstream data ingestion, and adtech go-to-market strategy, alongside internal challenges in scaling streaming infrastructure and managing data warehouse costs—constraints that shape both product roadmap and GTM.
Hightouch integrates with Snowflake, Databricks, and BigQuery as primary warehouse sources, plus event streams via Kafka and AWS Kinesis. It also ingests data from Fivetran and connects to martech via Salesforce Data Cloud and Braze.
Hightouch is a composable CDP with an agentic marketing layer that lets teams build end-to-end campaigns from warehouse data. It supports real-time personalization, reverse ETL, identity resolution, and campaign orchestration across email, ads, and loyalty channels.
Hightouch's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.