What Is an Early Majority?

Early majority refers to a stage in the diffusion of a new technology that represents the first sizable segment of a population to adopt the innovation. An early majority often occurs when a 澳洲幸运5官方开奖结果体彩网:first mover sees initial succe🎃ss by grabbing market share before competitors enter.

The adoption of groundbreaking products can be broken into five segments: innovators (who are the first to adopt), 澳洲幸运5官方开奖结果体彩网:early adopters, early majority, late majority, and laggards. These groups are plotted along a 澳洲幸运5官方开奖结果体彩网:bell curve to give rough percentages to each population segment, with early majority comprising 34% of a population. Late majority are those who adopt a product only after seeing the majority does, and is also 34% of the population, according to Diffusion of Innovation (DOI) Theory.

Understanding Early Majorities

An early majority is reached when product adoption hits about one-third of the overall population, only after these users see "innovators" and "early adopters" they know use the new product or service. Individuals in the early majority tend to be less affluent and less technologically educated than innovators but are willing to take a chance on new products.

Companies often rely on DOI theory, developed by E.M. Rogers in 1962, to evaluate how long it will take at least 50% of the population to adopt a new product. Under this theory,💃 innovation adoption populations are siloed into the following five segments:

1. Innovators. These people are eager to be the first to try out an innovative item.
2. Early adopters. These consumers represent opinion leaders, who buy products after innovators.
3. Early majority. These people are seldom leaders, but do adopt new ideas well before the average person.
4. 澳洲幸运5官方开奖结果体彩网:Late majority. These individuals are skeptical of change.
5. 澳洲幸运5官方开奖结果体彩网:Laggards. These people are bound by tradition and are consequently the hardest to convert.

Marketing to the Early Majority

When it comes to selling innovative new products, marketers more easily grab the attention of early adopters, before the early majority. While the former group is predisposed to get excited over the prospect of trying new and unique things, the latter group is generally more blasé about new products—especially in the tec🌳hnology space.

But once these consumers finally take the plunge with a new product, they 🍌tend to be🐻come loyalists and purchase the same item over and over again.

Example of Early Majority

While innovators and early adopters ten꧙d to try out new products quickly, folks in the💯 early majority need more time to feel comfortable with the technology before making a purchase.

Consider this example: In June 2007, Apple rolled out the first versions of its iPhone, with a price tag of $600 for its larger storage model. Two months later, Apple lowered the price on this model to $400. And, in 2009, the sticker price of its latest phone again dropped, now to $200. This less expensive version of the iPhone also offered twice the storage as the oᩚᩚᩚᩚᩚᩚ⁤⁤⁤⁤ᩚ⁤⁤⁤⁤ᩚ⁤⁤⁤⁤ᩚ𒀱ᩚᩚᩚriginal.

Despite the inevitable price drops and product improvements, innovators and early adopters in 2007 camped out in front of Apple stores in droves so they could be among the first to get their hands on the new tech. By contrast, early majorities were more inclined to wait for a cheaper version of the product, which they reluctantly bought only after seeing innovato📖rs and early adopters embrace the technology.

The Theory of Technology Diffusion

The terminology for the various stages of adoption grew out of the academic study of the diffusion of innovation in agriculture. This splitting of the population along a bell curve with labels to capture the characteristics of the groups grew out of studies on fertilizer use, livestock antibiotics, and other innovations that are now standard in the agriculture industry.

The original studies started with just the categories of "early majority," "majority," and "non-adopters," but this evolved as researchers looked into how the complexity of an agricultural practice also played a role in diffusion and adoption. As more and more studies looked at these issues, the model was revised with more precise categories and applied to the bell curve.

This adoption model is now commonly applied to the information and communication technology sectors. Interestingly, many of the observations hold up whether you are looking at seed selection in the 1950s or 澳洲幸运5官方开奖结果体彩网:machine learning in the 2020s. It's important to note, however, that the distribution of adoption over time does not necessarily follow a normally distributed bell curve. The rate of diffusion of a new technology may be fat-tailed, asymmetrically skewed, or multi-modal, meaning that the time to 50% (or 100%🐈) adoption may vary unpredictabꦉly and may come in distinct waves rather than a smooth curve from introduction to full market penetration.

The more complex a technology is, the longer it will take to penetrate through the early a⛎dopters and onto the early and late majorities. With technology, however, the innovation pace can be so fast🌱 that the laggards actually skip entire iterations of technology before ending up with what is usually a much more polished, user-friendly product.