October 8, 2025

Innovation Diffusion, Chasm, and SaaS

There’s a predictable pattern to how tech innovations spread, or fail to spread, through society.

In 1962, while Madison Avenue was still treating consumers as an undifferentiated mass, sociologist Everett Rogers introduced a framework that would later become gospel in Silicon Valley. His innovation diffusion curve mapped how new ideas move through populations. It wasn’t a straight line; it was a believable bell curve with distinct consumer segments based on their likelihood of adopting a new technology: innovators, early adopters, early majority, late majority, and laggards. The theory argues that every new technology or innovative business must target the right segment based on its stage of growth.

Rogers’ curve moves through five segments, each representing a type of behavior, not a fixed category of people. As a new technology matures, these consumer segments adopt in a sequence that reflects their relationship to risk, change, and social proof.

Innovators (2.5%), the first segment, are the consumers most likely to be your first market. They don’t look for social proof. They’re motivated by the technology itself and are keen to try it before the broader market does. They’ll buy your product even when it’s barely functional because the innovation excites them.

Early Adopters (13.5%), the next segment, are consumers who look for strategic advantage. They’re not just curious about technology — they’re thinking about how it positions them ahead of peers. They adopt early because they can clearly see how the technology could give them a competitive, intellectual, or social lead. They become your early evangelists because doing so gives them status.

Then comes the Early Majority (34%), the first large mainstream segment. They adopt only after seeing reliable proof. They aren’t resistant to innovation; they’re simply evidence-driven. They want products that have been tested by people they trust and that fit seamlessly into their existing routines.

The Late Majority (34%)adopts when change becomes unavoidable. They’re skeptical of innovation claims and generally satisfied with what they already have, but they move when the alternatives shrink — when colleagues upgrade, when processes depend on it, or when older solutions fade. They joined Zoom after March 2020 because video calls became mandatory. Their adoption is driven less by aspiration and more by necessity.

Then comes the last segment, Laggards (16%), consumers oriented toward the past. They have deeply embedded ways of doing things and view technological change with suspicion. They adopt only when the old solution stops functioning or disappears entirely. They’re not irrational; they’ve optimised their lives around existing solutions and see no compelling reason to relearn.

Consider iPod adoption as a simple illustration: Innovators camped outside Apple stores on launch day. Early Adopters turned the white earbuds into a status symbol. The Early Majority bought iPods after friends raved about having “1,000 songs in your pocket,” ditching their CD players by 2004–2005. The Late Majority bought iPods only when their car’s CD player stopped working and every new car came with an iPod dock. Laggards kept their Discmans until stores stopped selling discs entirely.

Rogers’ core insight was profound: technology adoption has less to do with demographics, income, or ZIP code and far more to do with psychology — risk tolerance, social influence, and a person’s relationship with change. And this has been right across six decades of innovation — personal computers, mobile phones, social media, cloud computing, electric vehicles. The curve doesn’t lie.

But this elegant curve hid a trap. In 1991, Geoffrey Moore studied the graveyard of failed tech companies and spotted a chasm. Many had won over innovators and early adopters — then died. His insight: there is a chasm between early adopters and the early majority, and most innovations fall into it.

Why? Because the two groups want fundamentally different things. Early adopters are visionaries. They tolerate missing features and nonexistent support because they’re buying into a future. They want change and will assemble hacked-together solutions from duct tape and APIs.

The early majority are pragmatists. They want proven, reliable, complete solutions that integrate seamlessly into existing workflows. They need references. They need support. They need it to “just work” on a Tuesday morning before a deadline.

Most startups optimize for visionaries and assume pragmatists are the obvious next group. They’re not. They’re a different species. Trying to reach the early majority with messaging designed for early adopters is like speaking English louder to someone who speaks Mandarin. Volume doesn’t solve a translation problem.

Moore didn’t just identify the chasm — he proposed a counterintuitive solution: get smaller before you get bigger. Pick one market and dominate it so completely that it feels almost claustrophobic. Not “CRM for everyone.” Not even “CRM for small businesses.” More like: “CRM for real estate agents in competitive urban markets.”

Why does this work?

Pragmatists act on references from people like themselves. A real estate agent doesn’t care that your software works well for insurance brokers. But they get interested very quickly when they see other real estate using it. When you dominate a niche, references multiply inside that niche. Adoption becomes self-reinforcing.

A niche focus also lets you deliver the “whole product.” The early majority demand everything — industry-specific documentation, integrations with existing tools, support staff who speak their language. You can provide this level of completeness only for one segment at a time.

It also clarifies distribution. Where do real estate agents congregate? What do they read? Which conferences do they attend? Which associations do they join? With a tight focus, these questions become answerable — and affordable.

Salesforce didn’t sell “enterprise software” to “businesses.” They sold sales automation to sales teams in SMBs — and dominated that niche first. Slack didn’t sell “workplace communication” to “companies.” They sold it to tech startups, then to tech enterprises, then to everyone else.

The essential point for tech entrepreneurs is that product alone isn’t strategy. Understanding the psychology of each consumer segment, and aligning acquisition, product, and expansion to those segments – is what shapes effective strategy. Each group requires different messaging, features, support, pricing, and even distribution channels. Treating them as one market is a common and costly mistake.

Success depends on how quickly you can get one segment to recommend your product within that same segment — not across segments, but within. When adoption becomes self-sustaining inside a specific niche, the chances of successfully crossing the chasm increase significantly.

The Modern Balance

Rogers’ and Moore’s theories were built around the adoption of innovation, but modern tech entrepreneurship operates differently. Strategy today isn’t defined only by adoption — it’s shaped by the presentation of adoption, the signalling of potential adoption, and the ability to make adoption look inevitable. For many founders, the primary audience isn’t the customer but the investor. The goal often shifts from selling the product to selling the shares of the company that sells the product.

This is why so many entrepreneurs avoid narrow markets — not because they doubt the strategic value, but because a focused segment doesn’t look impressive on a “total addressable market” slide. In 2026, the real task is balancing the expectations of investors with the needs of actual adopters. That balance is no longer just a strategic discipline; it has become a communication discipline. Modern channels allow different stories to be told to different stakeholders, but the clarity of what to communicate, whom to communicate it to, and when to do so ultimately shapes the effectiveness of a go-to-market strategy.

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