Why causal data is the key to unlocking compound growth

In the video series, From Data to Decisioning, we explore the concepts of causation and correlation in marketing, and why causality data is the missing ingredient your team needs to drive meaningful growth with agentic AI.

Watch episode 4 below, and scroll to the bottom for a full list of episodes.

The best marketing systems don’t just execute, they learn and optimize. 

And with causal AI, marketing teams can make every interaction a small experiment, accelerating the learning, compounding optimization and ultimately, revenue.

Today, I want to talk more about why using causal data can unlock significant growth for marketing teams

Old vs. new methodology

Marketing has typically looked at correlational, status quo data. They ask, “What did this high-value customer do?” 

When it comes to marketing decisions, they replicate those same steps with other customers, hoping to mimic the same increase in customer value  

But every customer is different. And the status quo may not always apply to that customer’s experience.

What we’re proposing is that marketers ask instead, “What action is most likely to increase  value for this customer now?”

This is a causal methodology — which action or lever can we pull to cause higher customer value? 

The compounding loop

With these causal decisions, marketers take an action, measure the outcome, and optimize, while building further causal evidence or causal data.

That causal evidence then informs better decisions and actions for the next customer experiences.

This learning accumulates across campaigns, creating a continuous loop of testing, measuring, and optimization,

Over time, this loop builds success and growth with better campaigns and customer experiences.

What AI unlocks

Now, add AI to this mix, and your learning loop moves even faster.

Instead of guessing which tactics to try, marketers set objectives and guardrails for a campaign, while the AI handles optimization, complex testing using causal inference, and automatic optimization. 

Bringing AI into this learning loop helps increase the speed of learning, and ultimately the speed of optimization,growing marketing success and revenue exponentially.

Catch more episodes

Watch more From Data to Decisioning episodes:

• Episode 1: Overview of correlation vs. causation in marketing

• Episode 2: What is causal data, and how is it created?

• Episode 3: The way everyone is building AI decisioning is wrong