The product adoption curve is one of those concepts that’s tricky to master but incredibly rewarding when you do. It requires a lot of attention to your customers––a lot of listening and changing. It’s not for the faint of heart.
Products don’t grow forever. They follow a predictable arc of introduction, growth, maturity, and decline. Understanding this arc—the innovation S-curve—is essential for making strategic decisions about when to invest in innovation, when to optimize, and when to prepare for disruption.
Ignoring the S-curve means risking being blindsided by competitors who jump onto the next curve of growth while your product stalls or declines. Indian companies like Swiggy and Zomato have reshaped their businesses by aligning with evolving user lifestyles and preferences at each stage. Your product must do the same.
The innovation S-curve maps product growth and decline over time
The S-curve is a graphical representation of how a product evolves in the market. The vertical axis tracks growth—users, revenue, or adoption—and the horizontal axis tracks time.
At the start, growth is slow as the product launches and early users experiment with it. Then comes a phase of rapid growth as the product gains traction and crosses into the mainstream market. Finally, growth plateaus and declines as the product saturates the market or becomes outdated.
This pattern repeats as new innovations emerge and displace older products. Each new innovation creates a fresh S-curve that eventually overtakes the previous one.
Some organizations move along these S-curves faster than others by focusing on innovation. Others get stuck optimizing mature products and miss the next wave.
Product strategy offsite at a food delivery startup in Bangalore.
CEO: “Our users want faster deliveries and more payment options. But the market is evolving—how do we stay ahead?”
Product Lead: “We need to recognize where we are on the S-curve. We’re in rapid growth now, but we must start exploring new features or adjacent markets before we hit the plateau.”
CTO: “So, we balance optimizing current operations with investing in innovation for the next curve.”
This balance—between optimizing today and innovating for tomorrow—is the essence of managing the innovation S-curve.
The company risks stagnation if it ignores the S-curve lifecycle.
The product lifecycle and market adoption curve
The product lifecycle relates closely to how customers adopt your product over time. Adoption follows a bell curve that segments users by their willingness to try new things.
| Stage | Description | Indian Market Implications |
|---|---|---|
| Innovators (2.5%) | Venturesome risk-takers who are the first to try new products. | Early adopters in metro cities experimenting with new tech. |
| Early Adopters (13.5%) | Opinion leaders who embrace change quickly and influence others. | Influential tech-savvy users in Tier 1 and Tier 2 cities. |
| Early Majority (34%) | Pragmatic users who adopt after seeing evidence of value. | Growing middle-class buyers in expanding urban centers. |
| Late Majority (34%) | Skeptical users who adopt only after the majority has. | Price-sensitive, risk-averse customers in rural and semi-urban areas. |
| Laggards (16%) | Conservative users resistant to change, adopting last or not at all. | Users reliant on traditional methods, often in smaller towns. |
Crossing the chasm between early adopters and the early majority is the hardest phase. It requires shifting your marketing and product strategy to appeal to a broader audience. Apple’s iPhone commercials illustrate this well: early ads emphasized features for innovators, while later ads targeted grandparents to win over late adopters.
Why failure to manage the S-curve is so common
Many organizations fail to respond to S-curve dynamics because they:
- Focus too much on existing technologies and customers, ignoring emerging trends.
- Resist cultural change needed to simultaneously run current businesses and innovate.
- Lack foresight, customer insights, or organizational support to invest in new growth areas.
- Fail to recognize when their product is in decline until it’s too late.
This is the trap that causes businesses to miss the “next big thing” and lose competitive advantage.
Innovation strategies depend on where you are on the S-curve
Your approach must differ depending on whether your product is in an early, growth, mature, or declining stage.
| Stage | Strategy Focus | Organizational Approach |
|---|---|---|
| Early/Launch | Experimentation, learning, and market discovery. | Flexible, decentralized, high tolerance for failure. |
| Growth | Scaling, refining product-market fit, and rapid user acquisition. | Cross-functional collaboration, data-driven decisions. |
| Maturity | Optimization, efficiency, and defending market share. | Structured processes, cost control, incremental innovation. |
| Decline | Divest, pivot, or invest in new innovations to start a new S-curve. | Dual operating models: run legacy business + innovation teams. |
In India, startups like Postman illustrate this progression. Postman began as a simple API testing tool and evolved into the world’s largest API development platform. Its growth followed an S-curve of adoption and innovation, moving from a niche developer tool to a mature platform with millions of users globally.
Organizational strategies to manage innovation
Managing the innovation lifecycle requires distinct organizational mindsets:
| Optimization Focused (Mature) | Innovation Focused (Developing) |
|---|---|
| Focus on current customer needs | Forecast and shape future customer needs |
| Exploit existing capabilities and markets | Explore new opportunities and technologies |
| Analyze and plan for efficiency | Hypothesize, experiment, and learn rapidly |
Companies must be comfortable balancing these two modes simultaneously. Mature businesses must avoid being trapped by their success and cultivate innovation teams that operate with agility and a tolerance for failure.
Diffusion of Innovation theory explains adoption patterns
E.M. Rogers’ Diffusion of Innovation theory (1962) remains foundational for understanding how innovations spread in social systems.
The theory’s core insight: innovation adoption is not simultaneous. Different groups adopt at different times based on their characteristics and risk tolerance.
The five adopter categories are:
- Innovators (2.5%): Venturesome risk-takers who are the first to try new ideas.
- Early Adopters (13.5%): Opinion leaders open to change, who influence others.
- Early Majority (34%): Pragmatists who adopt after seeing evidence.
- Late Majority (34%): Skeptics who adopt due to peer pressure or economic necessity.
- Laggards (16%): Traditionalists resistant to change, adopting last or not at all.
Understanding these groups helps product managers craft targeted messaging, prioritize features, and plan launch strategies.
Adoption attributes that influence diffusion
Five factors affect how quickly an innovation spreads:
- Relative Advantage — Is it better than what it replaces?
- Compatibility — Does it fit existing values and needs?
- Complexity — How difficult is it to understand or use?
- Trialability — Can it be experimented with before full adoption?
- Observability — Are the benefits visible to others?
Indian startups must consider these factors carefully, especially compatibility and complexity given the diversity of languages, cultures, and digital literacy levels.
The organizational innovation process
Rogers also outlined how organizations adopt innovations through stages:
| Initiation Stage | Implementation Stage |
|---|---|
| Agenda-Setting: Identify needs and problems. | Redefining: Adapt innovation to fit culture and needs. |
| Matching: Find innovation to solve the problem. | Clarifying: Spread understanding of innovation internally. |
| Routinizing: Make innovation part of daily operations. |
Successful innovation requires not just a good idea but careful alignment with organizational culture and processes.
Innovation S-curve examples from India
- Swiggy and Zomato reshaped food delivery by evolving with changing user lifestyles — from fast food delivery to doorstep delivery with multiple courier options. Their product innovation aligned with user adoption stages.
- Postman grew from a simple API testing tool launched in 2015 to a comprehensive API platform, following the S-curve from launch through maturity.
- Google Maps adoption illustrates diffusion theory: innovators and early adopters tried it first, followed by the early and late majority, until it became a social norm.
Test yourself: The innovation strategy dilemma
You are the PM at a Series B SaaS startup in Bangalore. Your product is reaching maturity on its current S-curve with slowing growth. The CEO asks if you should invest engineering resources in incremental feature improvements or start exploring a new product line. The board expects a growth plan for the next 18 months.
The call: What strategy do you recommend: optimize the current product or pursue new innovation? How do you communicate this to the CEO and board?
Your reasoning:
You are the PM at a Series B SaaS startup in Bangalore. Your product is reaching maturity on its current S-curve with slowing growth. The CEO asks if you should invest engineering resources in incremental feature improvements or start exploring a new product line. The board expects a growth plan for the next 18 months.
Your task: What strategy do you recommend: optimize the current product or pursue new innovation? How do you communicate this to the CEO and board?
your reasoning:
- Select a product you work on or use regularly—Swiggy, Flipkart, Postman, or any other.
- Sketch its growth over time as an S-curve: mark launch, growth, maturity, and decline phases.
- Identify which adopter categories you targeted or are targeting at each phase.
- Reflect on your marketing and product strategies at each stage—how did they change?
- Note any failure points or missed opportunities to innovate.
Where to go next
- If you want to deepen your understanding of customer segments: User Research Methods
- If you want to translate innovation strategy into execution: Product Vision and Strategy
- If you want to master organizational change: Change Management for Product Leaders
- If you want to improve your product marketing: Positioning and Messaging