In this demo, AI product expert Alec Haase, walks through the concept of AI Decisioning, how it impacts marketing teams, and an end-to-end demo of the tool.
A few key highlights:
What is the status quo of marketing today?
Even with modern marketing technology, the reality is that personalization doesn't scale. Most brands are relying on marketing calendars, rule-based automation, and A/B testing to power personalization of their messages to customers.
The problem? With each new level of personalization, the workload required from marketing teams increases. Today, personalization means more rules, more time, and more resources.
What is the AI opportunity?
This is where AI Decisioning comes in. It takes the heavy-lifting of personalization off of marketing teams so they can focus on creating the right strategy and messaging.
Instead of manually building journeys for countless segments or sticking to a ridid content calendar, AI Decisioning deploys AI Agents and uses reinforcement learning to automate and optimize personalization at scale.
Marketers can simply provide inputs into the system like goals, content, channels, and guardrails. AI Decisioning can then go determine the optimial experience for each individual customer. The best message, channel, offer, and cadence.
Why is Hightouch AI Decisioning different?
It's important to have a system that provides full visibility into why every decision is being made. With Hightouch, each decision that is made is auditable and summarized insights are surfaced back to you so can understand and learn from every touchpoint.
Hightouch AI Decisioning can be thought of as a "brand across all of your channels". It integrates with your existing tech stack reading from your data warehouse or siloed customer data platform and optimizes engagement across email, SMS, push, in-app, and onsite personalization.
Because AI Decisioning learns from each interaction, it just keeps getting better over time.
Want to learn more?
Schedule time to talk to Alec and the team here. We'd be happy to walk you through your specific use cases and run a pilot test to prove the value of AI Decisioning for your business.
