Your Guide to Un-Complicated Product Analytics

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Your Guide to Un-Complicated Product Analytics

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Adoption

How Deep Is Their Feature Usage?

What It Is

Adoption rate shows how much users are diving into and exploring the features in your product. It’s a measure of how deeply they’re engaging.

Why It’s Important

A high adoption rate means users are really getting value from your product by using a wide range of its features. This usually leads to happier, long-term users and helps you spot your most engaged “power users” who can become advocates for your brand.

How It Is Calculated

Adoption rate is calculated by dividing the number of features actively used by the total number of available features:

Adoption Rate = (Number of Features Used / Total Number of Features)×100

For example, if a user utilizes 15 out of 20 available features, their adoption rate would be 15/20*100 = 75%

Signals of Health or Weakness

  • Healthy Signal: An adoption rate of 75% shows that users are really diving in and exploring what your product has to offer—they’re deeply engaged.

  • Warning Signal: An adoption rate of 25% could mean users aren’t fully aware of the product’s features or aren’t making the most of them, possibly because they need more guidance or onboarding.

Who Uses It and When

  • Customer Success Teams: Spot where users might need extra training or encouragement to explore more features.

  • Product Managers: See which features aren’t getting much use to help guide future improvements or marketing ideas.

  • Sales Teams: Highlight high adoption rates to show value when upselling or offering additional services.


While adoption gives us insight into how thoroughly users explore your product, activation is all about that first ‘aha!’ moment when users truly see the value. Let’s look at how focusing on activation can set the stage for deeper engagement and long-term loyalty.

Product Engagement Metrics

Activation

© Copyright 2024. All rights reserved.

Content

Adoption

How Deep Is Their Feature Usage?

What It Is

Adoption rate shows how much users are diving into and exploring the features in your product. It’s a measure of how deeply they’re engaging.

Why It’s Important

A high adoption rate means users are really getting value from your product by using a wide range of its features. This usually leads to happier, long-term users and helps you spot your most engaged “power users” who can become advocates for your brand.

How It Is Calculated

Adoption rate is calculated by dividing the number of features actively used by the total number of available features:

Adoption Rate = (Number of Features Used / Total Number of Features)×100

For example, if a user utilizes 15 out of 20 available features, their adoption rate would be 15/20*100 = 75%

Signals of Health or Weakness

  • Healthy Signal: An adoption rate of 75% shows that users are really diving in and exploring what your product has to offer—they’re deeply engaged.

  • Warning Signal: An adoption rate of 25% could mean users aren’t fully aware of the product’s features or aren’t making the most of them, possibly because they need more guidance or onboarding.

Who Uses It and When

  • Customer Success Teams: Spot where users might need extra training or encouragement to explore more features.

  • Product Managers: See which features aren’t getting much use to help guide future improvements or marketing ideas.

  • Sales Teams: Highlight high adoption rates to show value when upselling or offering additional services.


While adoption gives us insight into how thoroughly users explore your product, activation is all about that first ‘aha!’ moment when users truly see the value. Let’s look at how focusing on activation can set the stage for deeper engagement and long-term loyalty.

Content

Product Engagement Metrics

Product Engagement Metrics

Activation

Activation

Activation

© Copyright 2024. All rights reserved.

Your Guide to Un-Complicated Product Analytics
Guide to Product Analytics
Your Guide to Un-Complicated Product Analytics
Your Guide to Un-Complicated Product Analytics
Your Guide to Un-Complicated Product Analytics