Composable CDPs and AI Decisioning with Tejas Manohar of Hightouch
The Agile Brand with Greg Kihlstrom®August 14, 202526 min351 views
31 connections·40 entities in this video→Understanding Composable CDPs
- 🚀 Hightouch offers a composable CDP designed to help brands engage customers more effectively by leveraging their existing data.
- 💡 Unlike traditional CDPs that require data migration, a composable CDP taps directly into existing data sources like data warehouses, enabling faster implementation and richer data utilization.
- 🎯 This approach allows marketers to use a flexible schema that accommodates diverse data types beyond just user and event data, such as pet information or household details.
Enhancing Customer Experience with Data
- ✨ The flexibility of a composable CDP enables highly personalized marketing campaigns that resonate with customers, such as PetSmart sending tailored grooming or product recommendations based on pet type and purchase history.
- 🎶 The NBA example highlights how data can be used to create engaging, personalized experiences like a "Spotify Wrapped" style recap of a fan's season stats.
- 📈 Ultimately, this leads to more relevant marketing, improved customer relationships, and increased conversion rates by overcoming technological and workflow challenges.
AI Decisioning for Marketing
- 🤖 Hightouch's AI decisioning product helps marketers determine the best content or action for each customer on a one-to-one basis, even if they are using a different CDP.
- 🎯 It works by optimizing for specific business goals, such as app downloads or loyalty offer activation, by analyzing vast amounts of content and customer data.
- 🧪 The platform uses AI and automated experimentation to identify patterns and rules that would be too complex for humans to code, enabling smarter marketing automation.
The Evolving Role of Marketers
- 🧠 AI decisioning provides marketers with rich insights into what content works best for which customers and at what time, shifting their focus from tactical execution to strategic thinking.
- 💡 This empowers marketers to spend more time on strategy, understanding customers, and developing new campaigns, rather than managing complex workflows and A/B tests.
- 🚀 The goal is to leverage AI tools to enhance personalization and execute ambitious marketing strategies that were previously unachievable due to resource constraints.
Staying Agile
- 🗓️ Tejas Manohar emphasizes the importance of daily reflection on what went well and what could be improved to maintain agility.
- ⚡ This feedback loop, applied at a high cadence, helps individuals and teams adapt quickly to changing circumstances and optimize processes.
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What’s Discussed
Composable CDPCustomer Data PlatformHightouchData WarehousingMarketing TechnologyCustomer Data StrategyPersonalizationAI DecisioningMarketing AutomationCustomer Lifetime ValueData ActivationAudience BuildingCustomer ExperienceAgility
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