GrowthLoop Blog
4 reasons why enterprise teams are replacing Adobe's CDP for composable solutions
Struggling with friction between Adobe and your data cloud? Here are 3 ways to streamline your martech stack and cut costs with a composable CDP.
Yuri Bukhan
How to enhance customer experience with causal AI
Learn why most marketers struggle with campaign testing and what successful teams are doing differently based on industry research.
Tobias Konitzer, PhD
The Causal Context Graph (CCG): A memory architecture for marketing AI
Learn why most marketers struggle with campaign testing and what successful teams are doing differently based on industry research.
Tobias Konitzer, PhD
RMN in a Box: Introducing deeper integrations with Audience Acuity, Moloco, and The Trade Desk
Learn about GrowthLoop's end-to-end commerce media solution that combines onsite and offsite activation, advance reporting, and closed-loop measurement.
Andrew Kakojejko
Three ways to streamline your martech stack, with and without Adobe
Struggling with friction between Adobe and your data cloud? Here are 3 ways to streamline your martech stack and cut costs with a composable CDP.
Kyle Martinowich
Why your security team will love a warehouse-native CDP
Most customer data platforms weren't built with security teams in mind. Here's what changes when your data never leaves your environment.
Tameem Iftikhar
GrowthLoop vs. Adobe pricing: What you're actually paying for
Adobe's multiple pricing meters turn the data cloud you already pay for into a second bill. Here's how a zero-copy, composable approach fixes that.
GrowthLoop Editorial Team
Introducing: GrowthLoop Engagement Suite
Learn about GrowthLoop Experimentation Suite and the journey to its launch.
Somer Simpson
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
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.
