GrowthLoop Blog
Why marketing experiments fail and how causal data delivers clarity and confidence
Learn why most marketers struggle with campaign testing and what successful teams are doing differently based on industry research.
GrowthLoop Editorial Team
The agentic marketing trap: Why scaling correlations is not the same as driving outcomes
AI agents are great at spotting correlations, but not causation. Learn why agentic marketing must be grounded in causal reasoning to drive real growth.
Tobias Konitzer, PhD
How marketers use autonomous AI (and where they still want control)
Learn about the current state of autonomous AI in marketing, including how teams use AI tools and what challenges they’re facing, based on new research.
GrowthLoop Editorial Team
New research: Marketing’s AI era has a data problem
Get the latest research from the 2026 AI and Marketing Performance Index, a data-driven study on how best-in-class marketing teams operate.
Melanie Graham
Introducing Composable AI Decisioning: The best outcome for every customer, every time
Learn how the GrowthLoop Composable AI Decisioning platform helps marketers improve customer personalization and marketing performance.
Somer Simpson
How to overcome common hurdles when adopting AI decisioning tools
AI decisioning isn't just something you can flip on. Learn the common hurdles with adoption and how to overcome them.
Tobias Konitzer, PhD
Why marketing teams need an agentic context graph for AI success
Unlock AI's full potential with an agentic context graph — a structured memory layer that tracks causal customer journeys and improves every campaign.
Tobias Konitzer, PhD
Causation, correlation, & AI decisioning: How marketers can win the AI race
Marketers who shift from correlative data to causal AI decisioning can move beyond unreliable A/B testing to deliver true personalization at scale.
Somer Simpson
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
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.
