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How does your product stack up?

The best product teams use data to drive decisions. But knowing how their product performance stacks up against their peers has eluded even the most sophisticated product managers. Use these benchmarks to measure your digital product's performance against both peers in your industry and top performers.
Use interactive benchmarks tool

Methodology

In this tool, we analyzed aggregated and anonymized product data from 6,800+ applications across 2,500 91成人海角社区 customers.

We鈥檝e explored nine strategic KPIs, broken down by benchmarks for low (25th percentile), median (50th), high (75th), and best-in-class (90th) performance.

You can view the results organized by region, company size, and industry for personalized, relevant benchmarks鈥攚hether you鈥檙e responsible for product at an early stage startup or a global enterprise.

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Monthly active user growth

The percentage change in the number of active users coming to your product, month over month

Monthly active user (MAU) growth measures how successful your product is attracting users, each month.
How we calculated the active user growth benchmark
For all companies of all sizes in all regions,

best-in-class products have a monthly active user (MAU) growth rate of 75%

What is your product's monthly active user growth rate?
Next up

Feature adoption

Feature adoption

Percentage of features that generate 80% of click volume

By understanding how (or if) customers adopt and use your product, you鈥檒l have a clear sense of whether the product is delivering on its intended value. The more features a user adopts, the more value they receive, and the less likely they are to churn. One common way to track feature adoption is by the percentage of features that generate 80 percent of click volume.
For all companies of all sizes in all regions,

best-in-class products have a feature adoption rate of 30%

What percentage of features generate 80% of click volume in your organization?
Next up

User retention

User retention

How many users return to your product over time

Since product usage data is most valuable when measured over time, user retention measures how many people continue using an application during a given time period. User retention is one of the most important measures of how successfully you鈥檙e engaging your user base.
How we calculated user retention
For all companies of all sizes in all regions,

best-in-class products have a 3-month retention rate of 30%

Next up

Stickiness

Stickiness

How many users return to your product on a regular basis

We all want to build software that not only attracts new users, but ensures those users stick around and continuously engage with the product. Stickiness helps you quantify how frequently users return and can provide valuable insight that you can use to drive higher engagement across your user base.
How we calculated the stickiness benchmark
For all companies of all sizes in all regions,

best-in-class products have a stickiness of 5%

What is your daily active user rate?
Next up

Time to value

Time to value

How quickly users begin to use key features in your product

Time to value is an activation metric that shows how quickly users learn about and begin to use key features in your product that deliver value. Many refer to the latter point as the 鈥渁ha鈥 moment鈥攚hen a user has a clear grasp of why they need a specific application. Users who find your product valuable early on are more likely to stick around longer.
How we calculated the time to value benchmark
For all companies of all sizes in all regions,

best-in-class products have a time to value of 1.3 days

What is your average time to first use of your most-used product feature? (time in days)
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Time on app

Time on app

How much time users spend with your product

Time on app is an engagement metric that shows how much time on average users spend with your product. The more time users spend with your app (and the faster they get value from it), the more likely they are to continue using your product, and the less likely they are to churn.
How we calculate time on app
For all companies of all sizes in all regions,

best-in-class products have an avg. daily time per visitor per app of 5 minutes

What is your average time on app in minutes?
Next up

Guide engagement

Guide engagement

How users interact with in-app guides

Guide engagement rate measures how users interact with the in-app guides within your product. Interactions can include page views, clicks, and other key actions a user can take that indicate they鈥檙e getting value from your in-app communications.
How we calculated guide engagement rate
For all companies of all sizes in all regions,

best-in-class products have a guide engagement rate of 10%

What is your product's guide engagement rate?
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NPS response rate

NPS response rate

Percentage of users that complete your NPS survey

Net Promoter Score (NPS) measures how likely customers are to recommend a product or service. NPS response rate is the percentage of users that actually complete the NPS survey. The more responses you have to an NPS survey, the more insights you have to make data-driven decisions about your product roadmap.
How we calculated NPS response rate
For all companies of all sizes in all regions,

best-in-class products have an NPS response rate of 10%

What is your product's NPS response rate?
Next up

Product engagement score

Product engagement score

How users are engaging with your product overall

Product engagement score (PES) is a 91成人海角社区 metric that provides a single metric to measure how users or customers engage with the product. PES in 91成人海角社区 is a composite metric, taking the average of one鈥檚 adoption, stickiness, and growth rates. The goal? To make it easy to quickly understand how your product is performing.
For all companies of all sizes in all regions,

best-in-class products have a PES of 54

What is the average product adoption, stickiness, and growth rates?
Download the Mind the Product benchmarks report to get the key findings from our 2024 analysis and understand where your business stands in the competitive landscape.

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