Hightouch

Two for one: Today, we partnered with Databricks at their Data Intelligence Days in Berlin ?????and Amsterdam ???? We spent the day introducing marketing use cases for CDPs and AI Agents to data architects and engineers. We’re excited to continue growing our joint business across Europe and helping more companies unlock the full potential of their data warehouse ??

CRM marketers face the same choice over and over: send high-volume batch campaigns with limited personalization or create resource-intensive, complex triggered journeys. While we’ve seen a lot of marketing shift to journeys, we think batch campaigns are still essential in 2025. They’re how you stay connected with all the customers not actively buying. But, traditional batch & blast lacks personalization, which we know increases engagement. AI Decisioning offers a third path using AI agents to deliver 1:1 customer experiences at scale. These agents leverage the same type of template you’d use for a batch email, but run continuous experiments to personalize messages across timing, frequency, content, and channels. Read more about how to opt out of the choice between batch & blast and journeys: https://lnkd.in/eZYFnQ5E

It's common knowledge that data can give you a key competitive advantage.?But how useful can your data actually be when it’s scattered and siloed across multiple tools? Adam Greco shares 12 reasons to centralize data in your data warehouse and make it the center of your tech stack. Check them out here: https://lnkd.in/eByzFXVi

AI Decisioning uses reward functions to let your AI agents know how valuable different customer behaviors, such as app downloads, site browsing, or purchases, are to your business. As our Co-Founder Kashish Gupta explains in this conversation with Barr Yaron, reward functions—a key feature of reinforcement learning—let different companies assign different values to these actions based on what they've already learned. Marketers can encode their experience and business knowledge into the AI system, giving it a jumpstart as it continuously learns and optimizes marketing campaigns.?

Join us in our San Francisco office for an <ai/> x Marketing meet-up on how AI revolutionizes the way marketers activate data. Our co-CEO Tejas Manohar and Humanic AI CEO Arjun Saksena will share their thoughts on how AI closes the marketing loop and actually makes first-party data accessible to marketers. ????Thursday, March 27 ??5:30-8:30 PM PT ??Our San Francisco office Grab your tickets here: https://lu.ma/gsktgazr

“Oh, this is what my job will be after AI.” We just launched Insights for AI Decisioning, and I’ve been talking to customers about how they can leverage it to improve their marketing. Insights automatically surfaces hidden patterns in customer engagement based on the automatic experimentation of AI agents—for example, campaigns with swimming creative perform really well when being sent to users who participate in high-impact sports/activities. As I talked through what Insights does, a lifecycle marketer at a major retailer said, “Oh, this is what my job will be after AI” -- something about how AI agents take away some of their tedious work to give them time to come up with new ideas and new strategies based on data just clicked. No one knows all the ways AI will impact marketing in the long-term—we just have perspectives, and there isn’t “one playbook” for marketing. But I am personally compelled by the idea that AI can enable, enhance, and expand the work and impact of marketers- and we’ll keep building toward that future at Hightouch.

Don’t miss out on MarTech's free online event, March 25-26. Tejas Manohar and Alec Haase will give a live demo of AI Decisioning. Want to see it in action? Register here: https://lnkd.in/e5Wai2S4 #martechconf

Marketers thrive when they can focus on strategy and outcomes, but they’re often bogged down building rule-based journeys and writing to satisfy marketing calendars. AI agents powered by reinforcement learning (RL) eliminate this friction—optimizing all the marketing decisions that connect creative ideas with real results. Excited about how AI Decisioning is making this a reality. Big thanks to Barr Yaron for the great conversation with our Co-CEO & Co-Founder Kashish Gupta!

We all strive to be lifelong learners like Adam Greco, who’s quickly earning his MBA in CDP ?? Adam pulled together his favorite educational resources about CDPs that you can use to kick-start your own career or technology evaluation. Whether you need to answer basic questions (even as basic as “What is a CDP?”), or dive deeper into technical topics (”What are data schemas”), this guide should get you started: https://lnkd.in/efqS9kfA

AI agents are running thousands of experiments daily across messages, audiences, channels, and timing. They’re developing new dimensions of marketing data filled with connections, patterns, and learnings that can drive new opportunities for marketers. The challenge? The speed that AI learns makes it nearly impossible for humans to keep up. We’ve built Insights for AI Decisioning to enable marketers to learn alongside AI agents and share their knowledge. Insights automatically surfaces the hidden patterns and correlations in the vast data created by AI agents as they experiment at scale. It helps marketers understand what works, with whom, and why and identify new marketing opportunities. Start learning alongside AI Decisioning today. Learn more here: https://lnkd.in/enU9j6_7