The only agentic messaging platform with an embedded CDP
Cordial unifies data, AI, and activation to predict buyer intent, optimize every decision behind every send, and understand not just what worked, but why it worked.
Lorem Ipsum
You can’t “predict intent” with fragmented data
Cordial starts with data first. We ingest all your data, store 18+ months of history, and update in real-time. This gives AI context to really understand buyer preferences, purchase intent, and likely next action.
Learn more
Lorem ipsum
AI decisioning” only works when data, AI, and channels talk to each other
Cordial brings data, AI, and channel activation under one roof. With everything united, we can actually decide what’s mostly likely to end in a purchase — including channel, send time, recommended products, and more.
Learn more
Lorem ipsum
Cordial analyzes millions of messages to tell you what worked (and why)
We look at everything — from imagery, tone, discount types, length, and more — to tell you exactly what you need to do to improve message performance.
Learn more
TRUSTED BY ENTERPRISE MARKETING TEAMS AT
Three signs your messaging platform is holding you back:
You’re sending more messages across more channels, but your retention program is still under-performing.
You’re trying to deploy meaningful AI on top of fragmented data and disconnected channels.
You know which messages perform, but not why. Which means you don’t have the insights you need to improve your program.
Enterprise marketing teams
47% increase
in revenue per message
Levi’s used Cordial’s AI predictive models to improve revenue per message
How AI-powered lifecycle marketing transformed DTC wine e-commerce brand’s email program into a revenue engine
Read Case Study
How Omaha Steaks won 2025 with AI & RCS
Omaha Steaks recognized that optimizing existing channels wouldn’t be enough. To break through during their most critical times, they adopted RCS, paired with Cordial’s AI-driven personalization and measurement capabilities.
Read Case Study
38 days
First send
PacSun seamlessly migrated a complex email program, going live in just 38 days
Read Case Study
Grow your program with a messaging platform
HEADLESS CDP
Finally, a messaging platform that actually predicts buyer intent and drives next-best action
Every messaging platform is “adding AI”, but AI is only as smart as the data behind it. Cordial ingests all your data, stores 18+ months of history, and updates in real-time. This gives AI context to really understand buyer preferences, purchase intent, and likely next action.
Explore the Headless CDP
Cordial AI™ OPERATING
Optimize every decision behind every send, billions of times per day
Cordial AI™’s 20+ predictive attributes work together to make dozens of micro-decisions before any send, optimizing for CLTV — or even customer profitability.
- AI Audiences: Identify who should receive a message based on things like purchase intent, product affinities, discount scores, or engagement scores.
- AI Journeys: Trigger messages and branch journeys based on predicted next action, channel preferences, product affinities, etc.
- AI Personalization: Choose the products, offer, and content most likely to drive each customer to a purchase.
- AI Optimization: Determine send time, send frequency, and channel for each customer.
See AI Decisioning in action
Cordial AI™ Understanding
Don’t just understand what happened. Understand why it happened (and what to do next).
Use AI to understand why messages performed (or didn’t), analyze more permutations than a human ever could, and uncover patterns you wouldn’t have thought to look for.
Every customer interaction feeds back into Cordial’s headless CDP, continuously enriching what Cordial knows about each customer and informing what to do next across audiences, journeys, personalization, and campaigns.
See how AI Understanding works
Reach your customers on any channel
There’s no cross-channel campaign too complex for Cordial.
Frequently asked questions
What is an agentic messaging platform?
An agentic messaging platform is messaging software where AI makes the decisions behind every send. In practice, this means using 20+ AI predictive attributes to make dozens of micro-decisions before any message goes out on things like who should receive it, what product to feature, when to send, which channel to send it on, etc.
What is an embedded CDP, and how is it different from a standalone CDP?
An embedded CDP is a customer data platform built directly into the tool that activates the data, while a standalone CDP data is unified in one tool but then handed off to another system to actually send messages.
What’s the benefit of an embedded CDP versus a standalone CDP?
Because data and activation happen in different places, a standalone CDP can result in data lags, fragmentation, an inconsistent user experience — and unneeded costs. With an embedded CDP, every customer interaction feeds back into the same platform, continuously enriching what your messaging platform knows about each customer and immediately informing what to do next across audiences, journeys, personalization, and campaigns.
How can you predict buyer intent?
You can predict buyer intent by giving AI enough unified, historical, and real-time data to recognize the signals that precede a purchase. Cordial AI predicts intent by starting with data first: it ingests all your data, stores all relevant history, and updates in real time, giving AI context to understand buyer preferences, purchase intent, and likely next action.
This is why it’s difficult to reliably predict intent on top of fragmented, shallow data. Unifying sources and retaining a long data history matter more than the AI model itself alone.
Why can't you predict buyer intent with fragmented data?
You can't reliably predict buyer intent with fragmented data because AI is only as smart as the data behind it. When customer information is split across disconnected tools and channels, no single system has the full picture of a customer's behavior, so predictions about purchase intent and next action become unreliable.
History matters because intent is a pattern over time, not a single click; 18+ months lets the model distinguish a seasonal browser from a customer genuinely moving toward a purchase. Real-time updates matter because intent decays quickly, and a prediction based on last week's snapshot is often wrong today.
Before you can expect AI to predict intent, you need to fix your data foundation.
How does AI increase customer lifetime value (CLV)?
AI increases customer lifetime value by optimizing every decision behind every message for long-term value rather than a single campaign's clicks. Cordial AI makes dozens of micro-decisions before each send — evaluating 20+ predictive attributes to choose the audience, content, timing, frequency, and channel that maximize CLTV, or even customer profitability.
What channels does Cordial support?
Cordial supports almost every channel, including email, SMS/RCS, WhatsApp, mobile app messaging, digital ads, site personalization, and direct mail.