
🎯 The Metric
Feature Adoption Rate
Feature adoption rate measures the percentage of users who start using a feature after it becomes available.
Many SaaS companies invest months building powerful capabilities, only to watch them sit unused. If users never discover or understand a feature, it creates no value for them or for your business.
The Hard Data (Artisan Strategies 2025)
What is a “good” feature adoption rate?
The answer to that question varies by industry and introduction type. Across all industries, the average core feature adoption rate is 24.5%. For products in the HR industry, it’s 31%, while fintech products see average adoption rates of 22.6%.
Features that have interactive walkthroughs as part of their onboarding process see adoption rates almost double that of features that rely on traditional documentation.
The Revenue Impact
Every feature that goes unused represents engineering time, design effort, and product investment that never generates a return. It’s money wasted.
Improving adoption increases the value customers receive from your product. That leads to higher retention and customer satisfaction without building anything new.
💼 The Case Study
IBM Increased Product Adoption by 300% Through Better In-App Guidance
IBM develops powerful enterprise software, but many customers struggled to realize its value. New users often abandoned products before learning how to use them, while existing customers overlooked advanced capabilities that could have improved their workflows. Complex products like IBM’s offerings are more likely to see abandonment due to poor onboarding experiences and a lack of support.
The products themselves were ground-breaking. IBM’s real problem was that users weren't receiving enough guidance to discover the value of those products. They turned to WalkMe, a digital adoption platform aimed at solving this exact problem, for help.
The Experiment
IBM introduced contextual in-app guidance throughout its software using digital adoption tools. Instead of relying on documentation and training sessions, users received interactive walkthroughs, tooltips, and step-by-step guidance directly inside the product. Help appeared exactly when users needed it, reducing confusion and making advanced features easier to discover.
The Results
After implementing the new onboarding and guidance experience:
Product adoption rate increased 6x.
Conversion rates increased 4x.
Revenue from IBM's digital offerings grew by 80%.
A user who engaged with the WalkMe tutorial was 300% more likely to return to the product 7 days after their initial log in.
The Why
Discovery. The number of features alone does not matter. What users want is to find the features that actually solve their problems. By putting teachable moments inside the product instead of expecting users to read documentation, IBM reduced friction at every stage of the user journey.
📈 The “Founder’s ROI” Calculator
Imagine your SaaS platform has 2,000 paying customers generating about $1,200/year each. One of your most valuable collaboration features is used by only 30% of them. Your analytics platform shows that users who regularly use this feature get attached to it as part of their daily workflow and renew their subscriptions at much higher rates.
You implement WalkMe or a similar in-app tutorial experience to guide users towards this feature within proper context.
New feature adoption rate: 45%
Additional customers: 300
ARR increase from new customers: $360,000/year
📚 The Reading List
Progressive Disclosure by Jakob Nielsen (Nielsen Norman Group)
Revealing functionality gradually helps users discover new features in a non-overwhelming way.
4 Feature Adoption Metrics to Track (Statsig)
A practical guide to measuring feature adoption, identifying underused functionality, and understanding which metrics actually matter.
Treat the 4 metrics in the guide as a system. Don’t take them in isolation. This helps you see the bigger picture.
How User-Centered Prioritization Helps Improve Feature Adoption Rates by Maggie Paveza (The Good)
User-centered prioritization means keeping your users in mind when making every product decision.
This guide explores 8 strategies to help you boost the feature adoption rates of your product while maintaining a user-centered focus.
👋 That’s all!
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