Diffusion of Innovation · How New Products Spread Through Populations
Everett Rogers' 1962 model for how new ideas, technologies, and products spread through a population — Innovators, Early Adopters, Early Majority, Late Majority, Laggards. The original research, what it predicts, and how it underpins Crossing the Chasm and modern adoption thinking.
Attribution. The Diffusion of Innovation theory was developed by sociologist Everett M. Rogers and published in his 1962 book Diffusion of Innovations, now in its fifth edition (2003). Rogers' research synthesized hundreds of studies on how new ideas spread. The theory underpins later frameworks including Crossing the Chasm. This article reviews the model.
The five adopter segments
Rogers found that adoption of any new innovation follows roughly the same shape — a bell curve where buyers fall into five distinct segments with different motivations, risk tolerance, and decision criteria.
Segment
Approx %
Motivation
Innovators
~2.5%
Adventure, technical fascination
Early Adopters
~13.5%
Competitive advantage, vision-driven
Early Majority
~34%
Pragmatic productivity, proven outcomes
Late Majority
~34%
Risk aversion, social conformity
Laggards
~16%
Skepticism, tradition
The five attributes that drive adoption speed
Rogers identified five attributes of an innovation that determine how quickly it spreads:
Relative advantage. How much better is it than what it replaces?
Compatibility. How well does it fit with existing values, experiences, and needs?
Complexity. How difficult is it to understand and use?
Trialability. Can people try it on a limited basis before committing?
Observability. Are the results visible to others?
Products that score high on all five spread fast. Products that score high on relative advantage but low on trialability spread slower. Products that score low on observability struggle to generate word-of-mouth.
Why the chasm exists (Moore's addition)
Geoffrey Moore's Crossing the Chasm framework builds directly on Rogers' model. Moore's addition: there's a discontinuity between Early Adopters and the Early Majority because their motivations are fundamentally different. Early Adopters buy on vision; the Early Majority buys on reference. The marketing that works on Early Adopters does not work on the Early Majority.
Rogers' original model implied smooth progression. Moore's revision better reflects how tech adoption actually unfolds.
Modern relevance
The diffusion model still applies to consumer technology, B2B software, social platforms, payment methods, and almost every other category where adoption happens over time across a population. AI adoption is currently visible at the Early Adopter / Early Majority boundary for most business categories. Crypto remains stuck in Innovator/Early Adopter territory for most use cases.
The lesson for marketers. Know which segment you're currently selling to. Your messaging, channels, references, and pricing should match that segment's motivations. Selling vision to the Late Majority fails. Selling reference customers to Innovators fails. Match the message to the moment in the curve.