What it means
Every new product starts with a pool of potential users. The rate of adoption tells you how quickly that pool converts into actual users, week by week or year by year.
It is one of the first numbers an investor asks about when judging a new venture. Adoption rarely moves in a straight line.
It usually starts slowly with a small group of enthusiasts, accelerates as the wider market becomes comfortable, and then flattens as the pool of remaining non-users shrinks. Plotted over time, this produces the familiar S-shaped curve.
The speed depends on several factors, including how much better the product is than the alternative, how easy it is to try, how visible the benefits are, and how costly it is to switch. Pricing, marketing, network effects (where each new user makes the product more useful to the others) and regulation also play a part.
A product that is obviously better but hard to try can still adopt slowly. For a finance team, the rate of adoption drives the revenue forecast.
A plan that assumes 20% of customers will adopt in the first year must be tested against evidence from pilots, comparable launches and survey data. Overestimating adoption is one of the most common ways that new-product forecasts go wrong.
The nuance is that adoption should be measured against the right denominator. Dividing by total population overstates the problem if only a small group could ever use the product, while dividing by the reachable market gives a fairer picture.
Always state what the percentage is a percentage of. Competitors and substitutes shape the curve as well.
If an incumbent product is cheap and familiar, new entrants must overcome inertia before anyone switches. Finance teams therefore model a base case, a slow case and a fast case, and keep cash available for the slow one.
In practice
Real-world examples.
Example
A bank launches a mobile payments feature to 400,000 customers. After six months, 60,000 have used it at least once, which is 15% of the base. The product team compares this with its target of 20% and decides to add an incentive.
Example
A manufacturer introduces an energy-saving machine to 2,000 factories. Adoption is slow in the first year because buyers want to see results elsewhere first. Once three respected factories publish their savings, adoption picks up sharply.
Example
A school district rolls out a digital learning platform to 120 schools. Within a year 90 schools are using it regularly, an adoption rate of 75%. The finance office uses the figure to decide whether to renew the licence.
Formula
Calculation
Adoption rate for a period = (new adopters in the period / total potential adopters) x 100
Cumulative adoption = (total adopters to date / total potential adopters) x 100
A company sells a budgeting app to small firms and estimates a potential market of 50,000 firms. In the first quarter 2,000 firms adopt, so the quarterly adoption rate is (2,000 / 50,000) x 100 = 4%. In the second quarter another 3,000 adopt, giving a quarterly rate of 6%. Cumulative adoption after two quarters is (5,000 / 50,000) x 100 = 10%.Case study
Seen in the real world.
Cedarpoint Software is an illustrative, fictional company that launched an invoicing tool for freelancers, assuming that 30% of its 100,000 target users would sign up in the first year. After twelve months only 9,000 had done so, an adoption rate of 9%.
The finance lead investigated and found that most freelancers had never tried the product, because the sign-up required a lengthy bank verification. When the company shortened the process to a few minutes, quarterly adoption doubled from 2% to 4% of the target group.
The original forecast had been far too high, but the corrected forecast, based on observed behaviour, proved reliable. The illustrative lesson is that adoption rates should be built from evidence about how easy it is to start, not from hope.
Watch out
Common mistakes.
- Using total population as the base when only a small segment could ever buy the product.
- Assuming adoption will stay at its early rate, when it usually accelerates and then slows down.
- Confusing sign-ups with active use, which can overstate how many customers truly adopted the product.
Questions
People also ask.
How is the rate of adoption different from market share?
Adoption measures how many potential users have started using the type of product, whereas market share measures how much of that use is captured by one company.
What is an S-curve?
It is the typical pattern of slow start, rapid growth and levelling off as the market saturates.
How can a company speed up adoption?
By making the product easier to try, lowering the cost of switching, and showing clear evidence of benefit from early users.
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