GrowthLoop Blog
The AI decisioning resource you need to start building today
Learn why marketing teams must start building an agentic context graph in their data cloud, and how it helps AI decisioning platforms deliver smarter results.
Tobias Konitzer, PhD
Hightouch vs. GrowthLoop: Composable CDPs compared for better marketing data activation
Shopping for a composable CDP? Learn the primary differences between GrowthLoop and Hightouch, including pricing, user experience, and more.
GrowthLoop Editorial Team
Salesforce vs. GrowthLoop: Comparing two approaches to customer data activation
Compare the Salesforce CDP and GrowthLoop across user experience, AI, data integration, segmentation, campaign management, pricing, and time to value.
GrowthLoop Editorial Team
Adobe CDP vs. GrowthLoop: Which CDP is best for enterprise teams?
Compare Adobe Real-Time CDP and GrowthLoop across user experience, AI, data integration, segmentation, campaign management, pricing, and time to value.
GrowthLoop Editorial Team
Why composability is a non-negotiable for AI decisioning
Most marketing data is correlational. Learn how causality data from randomized experiments powers smarter AI decisioning and faster growth.
Tobias Konitzer, PhD
Why causal data is the key to unlocking compound growth
Most marketing data is correlational. Learn how causality data from randomized experiments powers smarter AI decisioning and faster growth.
Tobias Konitzer, PhD
The way everyone is building AI decisioning is wrong
Most marketing data is correlational. Learn how causality data from randomized experiments powers smarter AI decisioning and faster growth.
Tobias Konitzer, PhD
What is causal data, and how is it created?
Most marketing data is correlational. Learn how causality data from randomized experiments powers smarter AI decisioning and faster growth.
Tobias Konitzer, PhD
Overview: Correlation vs. causation in marketing
Tobi Konitzer explains why marketing has become good at predicting behavior (correlation) but not reliably changing it (causation), and why “causality data” is the missing ingredient for AI to make decisions that actually drive growth.
Tobias Konitzer, PhD
Alchemy is real: Turning sunlight into revenue
Discover how AI agents shift business from efficiency to outcomes and why marketing needs an “agent context graph” to become verifiable.
Anthony Rotio
Same-session Personalization: The next step in real-time marketing
Learn more about Same-session Personalization, the next step in real-time marketing
Swati Teerdhala
Agentic AI: What it means to GrowthLoop
Agentic AI is a common buzzword, but people don’t always mean the same thing when they use it. Here’s what agentic AI means to GrowthLoop.
Tameem Iftikhar
How to overcome the data readiness gap for effective AI in marketing
Is your organizational data ready to power AI? The Martech for 2026 report revealed that the majority of teams are running AI on a faulty data foundation. Learn how to ensure your organization is ready.
Rebecca Corliss
RMNs and CMNs explained: How marketers can use media networks to fuel growth
Learn how retail media networks (RMNs) and commerce media networks (CMNs) help organizations unlock new revenue streams and approach buyers with highly personalized offers that convert.
Somer Simpson
Introducing Data Manager: Stop waiting in the data bread line
Learn more about Data Manager, a visual, intuitive canvas for data schema management.
Swati Teerdhala
5 tips for aligning your commerce media and lifecycle marketing teams
Are your commerce media and enterprise marketing teams competing or collaborating? Learn what siloed solutions cost you and why composability is the key.
Ariel Aguilar Gonzalez
Unlock the full value of your customer data
Get in touch with our team to learn how you can use GrowthLoop to activate data from your data warehouse to drive more revenue.
