How Hightouch scaled to a $1.2B startup in five years

Executive overview

Most brands collect vast customer data but can't act on it. Hightouch fixes that by connecting directly to a company's data warehouse, cleaning the data, and syncing ready-to-use audiences into the marketing tools teams already use — no engineers required.

The result: personalised messages triggered by real behaviour, delivered at scale. AI decisioning then removes the guesswork, choosing the right channel and offer for each customer automatically.

The core insight: putting data warehouse power directly in marketers' hands — without code — is the unlock that turns raw data into revenue.

What the product does

• Connects to data warehouses (Snowflake, Databricks) and pulls customer data into usable segments
• Marketers build hyper-targeted lists using filters, with no SQL or engineering support
• Syncs those segments into email platforms, CRMs, ad networks, and push notification tools
• AI decisioning analyses purchase history, clicks, and behaviour in real time to pick the best channel and message per customer
• Replaces manual guesswork with millions of automated micro-decisions that compound into better results

How the company started

• Founded in 2020 by Kashish, Tejas, and Josh — three roommates solving the same problem from different angles
• Co-CEO Tejas interned at HubSpot at 15, joined Segment full-time at 16 on a six-figure salary, never attended college
• Warner Music Group was the first major customer (2021), asking for a UI that didn't require data expertise
• PetSmart followed; both paid meaningfully to solve the personalisation problem
• Now serves 750+ customers, approaching $100M ARR

The enterprise sales process

• Multi-channel awareness first: content, social, events, and partner marketing build familiarity before any sales conversation
• Solutioning engineers design how Hightouch would integrate into a prospect's specific stack — before the deal is signed
• Proof of concept (POC): Hightouch competes head-to-head against rival vendors on the customer's actual use case
• Commercials and contract negotiation follow, often requiring multiple layers of internal approval
• Full cycle: 3–9 months from first contact to signed contract; relationship-building with large enterprises can take even longer

Growth and what's next

• Average contract value has grown to ~$1M; million-dollar deals are now routine
• 750+ enterprise customers in five years, including many of the world's largest consumer brands
• Next target: $500M then $1B ARR, powered by AI agents that give marketers real-time decisioning at scale
• Founders are already co-building next-generation AI marketing products with top CMOs