Crossing the Chasm
The critical and difficult transition a technology product must make from early adopter customers to the pragmatic mainstream majority, as described in Geoffrey Moore's influential framework.
The chasm is the gap between early adopters (who buy on vision and tolerate imperfections) and the early majority (who buy on proof and expect complete solutions). Many promising products fail in this gap because the tactics that worked with early adopters do not work with pragmatists. Early adopters want innovation; pragmatists want reliability, references, and complete solutions.
Crossing the chasm requires focusing narrowly on a single beachhead segment of the early majority. Rather than trying to be everything to everyone, you become the complete solution for a specific niche. This creates a concentration of references, case studies, and word of mouth within that segment, giving pragmatic buyers the social proof they need. Once you dominate the beachhead, you expand to adjacent segments.
For AI products, the chasm is particularly relevant today. Early adopters of AI features are enthusiastic about the technology itself. The early majority cares about whether AI reliably solves their specific problem. Crossing the chasm for AI products means moving from "look, it uses AI" to "it solves your problem reliably," which requires production-grade quality, clear ROI metrics, implementation support, and reference customers in the buyer's specific industry.
Related Terms
Growth Loop
A self-reinforcing cycle where each cohort of users generates inputs (data, content, referrals) that attract the next cohort, creating compounding growth.
Churn
The rate at which customers stop using or paying for a product over a given period, typically measured as monthly or annual churn percentage.
Activation Rate
The percentage of new signups who complete a key action (the 'aha moment') that correlates with long-term retention and product value realization.
Product-Led Growth (PLG)
A go-to-market strategy where the product itself drives acquisition, activation, and expansion through self-serve experiences rather than sales-led motions.
Viral Coefficient (K-Factor)
The average number of new users each existing user brings to the product, where a K-factor above 1.0 indicates self-sustaining viral growth.
Net Revenue Retention (NRR)
The percentage of recurring revenue retained from existing customers over a period, including expansion, contraction, and churn — where 100%+ indicates growth without new customers.