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Consumer Adoption and the Product Life Cycle
Business Essentials · Chapter 13: Product Development and LifecycleSection 13.2 · lesson 62 of 10514 min · free with a free account
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In this lesson
How new products spread, and what happens to them afterward.
- Describe the adoption process and adopter categories
- Explain the chasm and 5 attributes that predict adoption
- Describe the 4 life cycle stages and their strategies
- Assess a product's life cycle position from evidence
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Product Development and Lifecycle
Consumer Adoption and the Product Life Cycle
Every new product has to win people over, and it never wins everyone at once. This section is about how a new product spreads, and what happens to it afterward. First, the consumer adoption process, and the five categories of adopters who move through it at different speeds. Then the chasm, a framework about where many products stall, and five traits that predict adoption speed. Then the product life cycle, with sales and profit as separate curves, and the strategy each stage calls for. We'll be honest about the life cycle's limits, including one that can make a prediction come true. And we'll close with reading a product's real position from evidence, rather than from one bad quarter. Let's begin with the first time a consumer meets something new.
The Consumer Adoption Process
5 Stages, the First Time
The adoption process is the sequence a consumer moves through in deciding whether to accept a new product. That means one they've never bought before. It has five stages. Awareness is when the consumer first learns the product exists. Interest is when they seek out more information about it. Evaluation is when they weigh whether it's worth trying. Trial is small-scale use, like a sample or a single purchase, to test it directly. And adoption is the decision to use the product regularly and fully. How is this different from the consumer decision process in section twelve point five? That process covers any purchase, including a routine rebuy, where a low-involvement buyer may skip nearly every stage. Adoption describes the first time. With no habit yet, an uncertain consumer has to work through every stage.
Table 13.2.1
5 Adopter Categories, 5 Kinds of Persuasion
Consumers don't adopt at the same pace, so the market is sorted into adopter categories. Innovators adopt first. They'll take risks on an unproven product, and often have the resources to absorb a poor choice. Early adopters follow soon after. They're respected in their circles, and often asked for advice about new products. When they adopt, it signals to a wider audience that the product deserves serious consideration. The early majority adopts only after seeing the product work for others. They prefer proven value to being first. The late majority adopts out of necessity or social pressure, once the product is an established norm. For them, the risk of not adopting finally outweighs the risk of adopting. Laggards adopt last, if at all. They're skeptical of change, and comfortable with traditional ways. Now read across the table. What persuades one group is often the opposite of what persuades its neighbor. Innovators respond to novelty. But a cutting-edge message can actively repel the early majority. That group wants proof that people like them have already tested the product. Keep using an innovator message with the early majority, and you're speaking the wrong language.
The Chasm
Where Many New Products Stall
The chasm is a framework about one transition in particular, from early adopters to the early majority. It proposes that this is where most new products fail, especially those that make buyers change established behavior or infrastructure. The reason is that the two groups want fundamentally different evidence. Early adopters are drawn by the vision of what a product could make possible. They'll tolerate rough edges to get there first. The early majority wants proof that it already works reliably for people like them. Vision alone doesn't move them. So a product that has delighted its early adopters can still fail to cross. It may lack the reliability, references, and practical support the cautious majority needs before committing. Now, state the evidence carefully. The chasm is widely cited and influential, developed from patterns in technology launches. But it's best seen as a compelling account of a real pattern, not a strictly tested scientific law. The categories aren't sharp boundaries in real markets. They're a continuum, and the gap varies a lot by product. Its real value is as a caution. Success with enthusiasts is no proof of success with the far larger, more cautious majority.
What Predicts Adoption Speed
5 Attributes of the Product Itself
Five characteristics of the product itself help predict how quickly it will be adopted. Relative advantage is how much better the product seems than the idea or product it replaces. A clear, easily grasped advantage speeds adoption. Compatibility is how well it fits existing values, past experiences, and current practices. A product that makes buyers discard familiar habits or infrastructure is adopted more slowly. Complexity is how hard the product is to understand or use. Simpler products are generally adopted faster. Trialability is whether it can be tried on a limited basis before full commitment. A product that can be sampled cheaply or briefly spreads faster than one demanding a big commitment upfront. Observability is whether the results of using it are visible to others. A product whose benefits are easy to see spreads faster, because it advertises itself just by being used.
Worked Application
Verdant Home's Countertop Composter
Let's apply all five to a fictional product. Verdant Home is preparing to launch a countertop composting appliance. Its relative advantage over a traditional outdoor compost bin is real but modest. It's faster and produces less odor. But outdoor composting already works for many households. Compatibility is mixed. It fits smoothly on a kitchen counter. But households with no composting habit must adopt a whole new routine of sorting food waste. Complexity is low. You put food scraps inside and press a button. Trialability is poor. The appliance is expensive, and can't be meaningfully tried in a small, low-commitment way. Observability is low too. It sits inside a kitchen, and the finished compost isn't visible to neighbors or visitors. Together, low trialability and low observability point to slower adoption than low complexity alone would suggest. So the strategy should target trialability, the attribute most likely holding adoption back. A short-term rental, or a money-back trial period, would do exactly that.
Figure 13.2.1
Profit Peaks Before Sales Do
The product life cycle describes the pattern a product's sales and profit tend to follow over time. It has four stages: introduction, growth, maturity, and decline. The point most often missed is that sales and profit don't move together. Here they're drawn as separate curves. The shapes are schematic, not measured data. Profit starts below zero in introduction, then rises. It peaks during growth, and starts falling while sales are still climbing. Sales don't peak until early maturity. Why the gap? Profit depends not only on volume, but on price and costs. Both change as competitors enter. Here's the danger. A business reading only its sales figures can be well past its most profitable point, with no warning in the number it watches most.
Strategy Across the Stages
What Each Stage Asks For
Each stage calls for a different strategy. In introduction, sales grow slowly as awareness builds. The task is awareness, and persuading a first, small purchase. Development, setup, and promotion are all paid for against a small sales base, so profit is commonly negative. In growth, sales rise rapidly as the product moves toward the early majority. The emphasis shifts to market share and wider distribution, while the market is still forming its preferences. Competitors arrive, drawn by the pioneer's success. That means price pressure and higher defense spending, so profit softens. In maturity, growth slows as the market nears saturation. Most people who'll ever buy already have. The emphasis becomes defending share, differentiating, and finding new uses or segments. Price competition intensifies, because products look alike. In decline, sales fall as needs shift, substitutes emerge, or the market shrinks. The business must harvest or divest. Harvesting cuts marketing and development spending, while selling to the remaining demand for as long as it's worthwhile. Divesting discontinues the product, freeing its resources for use elsewhere. The choice depends on remaining demand, the cost of continued support, and the best alternative use of those resources.
Maturity
The Longest Stage, and How to Extend It
Introduction and growth get most of the attention. But maturity is usually the longest stage. Across all the products a business might sell, most spend most of their commercial lives in maturity. So strategies for extending maturity carry outsized practical weight. There are three. Market modification seeks new users, or new usage occasions, for the existing product. Promoting a product traditionally used in one season for use all year round is an example. Product modification improves quality, features, or style. That gives customers a reason to prefer the current version, over competitors, and over their own older model. Marketing mix modification adjusts price, distribution, or promotion to reach segments or occasions the original mix missed. Each approach resets part of the product's appeal. And it does so without the cost and risk of a genuinely new product launch.
Limitations
A Pattern, Not a Prediction
The life cycle has real limitations, and they should be stated honestly. First, stages are identified in hindsight. You know for certain where a product was only after seeing what happened next. The framework describes a pattern. It doesn't predict one future course with precision. Second, the shape varies enormously. Some products pass through introduction and growth in months. Others take decades. Some staple goods stay in maturity so long they seem to defy the framework's slide toward decline. Third, a sales dip doesn't reliably mean decline. Sales can fall temporarily because of a season, a downturn, a supply problem, or a competitor's short-lived promotion. Now the most serious risk. Concluding you're in decline can cause the decline. A manager reads a temporary dip as terminal, then cuts marketing, delays improvements, and deprioritizes the product. Those very actions produce the sustained sales fall the manager thought was already happening. A mistaken diagnosis becomes accurate after the fact, purely through the response to it.
Variants and Evidence
Style, Fashion, Fad, and Reading the Signs
Three variant patterns depart from the standard shape. A style is a basic, distinctive form of expression that can recur in popularity over a long period. Think of a furniture design that goes in and out of favor across decades, without disappearing. A fashion is a currently popular style within a field. It rises and falls over months to a few years, as in clothing. A fad gains rapid, intense, but short-lived popularity, often based on novelty rather than a durable need. Knowing which pattern a product resembles helps gauge how long demand will last, and how much to invest. Given all these limits, judge a product's position from a body of evidence, not one figure. Check the sales trend over several periods. Are new customers still entering, or is growth all repeat purchases? Check competitors. New entrants usually signal growth, and exits usually signal decline. Sustained price pressure often signals maturity. And check the underlying need. An obsolete need points to real decline. A temporary disruption points to a dip. One quarter of falling sales is weak evidence. A sustained trend, confirmed by several indicators, is far stronger.
Case Vignette
The Dip That Became a Decline
A final composite case. The company and the person are fictional. Farrah, a brand manager at Corrie Household Products, oversees a long-established cleaning product with years of steady sales. Sales fall for two consecutive quarters, during a regional slowdown that hits household spending across many categories. Farrah concludes the product is in decline. To protect the budget, she cuts advertising sharply, and postpones a formula improvement. She had other options. Did competitors' sales fall too? Had new customers really stopped entering the category? Or she could hold support steady for one more quarter while gathering that evidence. The pressure was to show cost discipline fast. The trade-off was looking fiscally tough, against acting on an unconfirmed diagnosis. The reasoning turns on the self-fulfilling risk. A slowdown hitting many categories at once better explained the dip. By cutting support, Farrah removed exactly what had sustained the brand's position. Sales kept falling after the economy recovered. Competitors who kept their support took the shelf space and attention she gave up. A temporary dip became a genuine decline, because of the response to weak evidence, not any change in the underlying need.
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