Attract New Users With Higher Feature Adoption
Increase feature discovery, announce new features, and control churn rate with feature adoption.
Join 1K+ customers growing with Eyelet.
Announce new features to your users
Your user may not be aware of the important product features. Announce the feature to your users and show them the feature value.
Measure feature adoption with the right metrics
See how your users interact with the features with the right feature adoption metrics. You can see how frequently the feature is used? how many users are using this feature?
Increase your retention rates with feature adoption
If your customers love your product they will use it and stick for longer. This is the logic behind high retention rates and your product success is dependent on feature adoption.
Highlight the critical product features
Instantly put tooltips, hints, and banners anywhere on the screen
Create and implement powerful bots to conduct surveys
Implement checklists to make sure all the steps are performed
Install a chrome extension and get started
Track user behavior with insights and make the right decisions
Schedule a demo call
Book a call with the Eyelet team. We look forward to talking to you.
We will get in touch immediately.
Meet our customers.
We implement eyelet on most of the projects that we work on and our customers have seen a lot of great results over these past 6 months.
Our app is very complex and it used to take users Many hours but after creating a series of product flows with eyelet that time got reduced by 80%
Frequently Asked Questions.
Feature adoption is when your users discover your product features, realize its value and use it often to perform important tasks in their daily lives.
You can increase feature adoption in the following ways
- Increase your feature value
- Announce the feature to all your users
- Analyze the feature adoption metrics
There are a couple of metrics that can help your measure the success or failure of a feature
- How many users have adopted the feature?
- How long do users continue to use the feature after trying it?
- How frequently do they use a feature?