Under-adoption is one of the quietest, most expensive problems in any subscription or platform business: customers paying for capability they never activate, sitting invisibly until renewal, when the mismatch between price and perceived value suddenly becomes very visible. The Adoption Depth/Breadth dimension measures exactly this: how much of what customers are paying for they’re actually using, both how deep (feature usage) and how wide (breadth across the product).

The level path here maps almost perfectly onto how solvable this problem used to be: untracked, tracked but unused, benchmarked with basic nudges, driving targeted intervention, and finally, actively engineered per customer. That last level required something close to a dedicated customer success manager watching usage data account by account. For most of the customer base, that was never going to be economically viable.

Why AI changes the unit economics

In-product AI guidance and next-best-action nudges do what a human CSM does for adoption, spot a usage gap and prompt the right next action, at a cost structure that scales across the entire customer base, not just the top accounts. This is the dimension where AI most directly turns a Level 5 capability, previously reserved for your highest-touch accounts, into something achievable for your long tail.

The metric to watch as you deploy this is percentage of customers using core features only versus full breadth. If that number isn’t moving after AI-driven adoption nudges go live, the nudges are probably generic rather than genuinely targeted: automation applied to the same one-size-fits-all playbook, just delivered faster.

The growth case

Adoption is one of the two Foundational Success dimensions for a reason: usage frequency and depth correlate directly with renewal likelihood and expansion readiness. A customer using 20% of what they bought is a customer who sees 20% of the value, and is being sold to accordingly at renewal. Closing this gap at scale, across your entire base rather than just your top accounts, is one of the most direct AI-enabled paths to improving net revenue retention available today.

Adoption is weighted heavily as a trusted core dimension in the NextCentric Customer-led Maturity Assessment. The CSX Methodology turns your current score into a target operating model, including where AI-driven, in-product guidance fits into the people, process, and technology mix, to move it.

You can take the free maturity assessment here