Observed Signal · Oct 23, 2026 · Product Launch · Source: Hightouch · Impact: 2/5
Yes, Hightouch can send messages now
Hightouch has announced enterprise-grade message delivery capabilities within its agentic marketing platform, enabling end-to-end execution of lifecycle campaigns directly from the data warehouse. The platform now natively supports channels including email, SMS, push, in-app messaging, and WhatsApp for both batch and real-time sends. This expansion allows enterprises to bypass traditional customer engagement platforms (CEPs) and ESPs by consolidating customer data, AI orchestration, and direct delivery.
By adding native delivery infrastructure to its Composable CDP, Hightouch directly challenges traditional Customer Engagement Platforms (CEPs) and ESPs like Braze and Salesforce Marketing Cloud.
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Key Takeaways & Evidence Grounding
- Hightouch introduced native delivery capabilities across email, SMS, push, in-app messaging, and WhatsApp.
- The delivery infrastructure supports both batch and real-time messaging, including domain warming, consent management, and deliverability support.
- Customers such as Medium, MoneyLion, Fullspan Health, Thumbtack, and XP are already using the platform, with Medium sending millions of messages daily after migrating within a month.
- The platform remains composable, allowing brands to either use Hightouch for delivery or route sends through existing CEPs.
Connected Companies & Entities
“Announced enterprise-grade direct message delivery capabilities for its agentic marketing platform.”
“Migrated its message sending to Hightouch in under a month and currently sends millions of messages daily.”
“Referenced as an incumbent provider in the changing enterprise marketing stack landscape.”
“Referenced alongside Salesforce as context for the shifting customer engagement platform market.”
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Hightouch Launches Lifecycle Studio with Agentic AI
Hightouch announced Lifecycle Studio on June 24, 2026 — a new workspace inside its Agentic Marketing Platform (AMP) designed to let marketing teams create and deploy production-ready, on-brand personalized campaigns across email, SMS and push in minutes. The product uses agents grounded in a company’s brand, customer data, DAMs, product catalogs and campaign history to automate content generation, operational QA, and ESP-specific templating. Hightouch says customers such as Thumbtack have used Lifecycle Studio to compress campaign production timelines from weeks to days. The studio is positioned as an extension of Hightouch’s AI-native marketing infrastructure aimed at lifecycle and CRM marketing workflows.
Agentic AI Reshapes Marketing Workflows, McKinsey Says
A McKinsey & Company analysis finds agentic AI — AI agents that execute multi-step marketing tasks under human supervision — is gaining traction and could support as much as two‑thirds of current marketing activities. The report says agentic systems, built on foundation models, can accelerate campaign processes (10–15x) and speed content cycles (up to 4x), and that organisations piloting integrated agentic workflows have seen potential revenue uplifts of 10–30%. Widespread experimentation has produced fragmented, isolated deployments; the primary barriers to scale are systems interoperability, unified data layers, identity frameworks and API-driven activation rather than model capability. Vendors such as Adobe and HubSpot are embedding AI agents into marketing platforms, but McKinsey notes fewer than 10% of firms have deployed end-to-end workflows that generate measurable value.
Agentic AI Shifts Marketing from Assist to Execute
The article explains how agentic AI is moving marketing beyond analysis into operational activation — automating creative variants, in-flight campaign optimization, and workflow execution. It recommends a three-layer AI stack for marketers: multimodal generative models for scalable creative production, reinforcement-learning systems for self-optimizing campaign control, and agentic systems to turn strategic insights into automated activations. Contextual intelligence and real-time signals are presented as critical for detecting purchase moments and driving responsive campaign changes. The piece stresses the need for a strong, high-quality open web and data foundation, transparency of agent actions, and integration across AI layers to avoid fractured workflows and to improve time-to-activation, attention, and conversions.
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