Where customer education and customer marketing become the scale engines to customer success, with a dash of AI
One Interview, Infinite Impact
A single customer interview will serve as the cornerstone for a suite of high-impact CMA assets. From this one conversation, we’ll craft a short-form case study in the classic challenge/solution format for the website, a long-form white paper for the Knowledge Base, and a curated set of quotes for use across web and social channels. The interview will also fuel a short video for the homepage carousel and social media, along with tailored post copy to drive engagement. Finally, key insights will be repurposed into sales enablement materials—ensuring this story resonates across marketing, education, and revenue teams.
In customer education, we’ve long observed a compelling pattern: trained users tend to adopt faster, engage more deeply, and remain loyal longer. But can this connection be proven? This exploration seeks to move beyond anecdotal success stories and uncover whether a repeatable formula exists. By documenting the relationship between education and retention, we can elevate it from intuition to a measurable metric—one that belongs in every strategic toolkit.
Defining a
Trained User
In 2026, the question for Customer Education (CEd) and Customer Marketing (CM) isn’t just "are they engaging?" but "is it moving the needle?" As the landscape shifts, practitioners are seeking clarity on what to measure, how to capture it, and how to ensure that data actually influences company-wide strategy.
​Join a monthly, January–November deep dive into the mechanics of modern Customer Education analytics, where we tackle real measurement challenges and apply learning data to Customer Health Scores and long‑term retention. Each session rotates through four pillars of CEd success: defining the metrics that matter and the workflows to capture them, building a delivery cadence that gets actionable insights to Product, Sales, and CS, integrating education signals into health scoring to shift from tracking completions to predicting churn, and continuously optimizing programs through monthly analysis that sharpens content, boosts engagement, and proves ROI.