Developing an effective Virality metrics can be intimidating, especially when your daily duties demand your attention. To assist you, we've curated a list of examples to inspire your planning process.
Copy these examples into your preferred app, or you can also use Tability to keep yourself accountable.
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While we have some examples available, it's likely that you'll have specific scenarios that aren't covered here. You can use our free AI metrics generator below to generate your own strategies.
Measures how many new users each existing user brings in. Calculated as (Number of invitations sent by existing users * Conversion rate of the invitations) / Total number of existing users
What good looks like for this metric: 1.0 or higher
Ideas to improve this metric
Create incentives for users to refer others
Simplify the referral process
Enhance the referral reward system
Optimise onboarding processes for referred users
Regularly test and refine referral messages
2. Invite Conversion Rate
The percentage of invitations sent out that result in new users. Calculated as (Number of successful invites / Total invites sent) * 100
What good looks like for this metric: 20-30%
Ideas to improve this metric
Personalise invitation messages
Optimise follow-up sequences
A/B test different invitation templates
Offer additional incentives for completion
Improve the perceived value of joining
3. Time to First Referral
The average time it takes for a new user to make their first referral. Calculated by tracking the time between user registration and their first successful referral
What good looks like for this metric: Within 7 days
Ideas to improve this metric
Create a sense of urgency
Provide clear instructions on how to refer
Showcase the benefits immediately
Use gamification strategies
Send targeted reminders
4. User Retention Rate
Percentage of users who continue to use the product over a specific period. Calculated as (Number of users at end of period – Number of new users during period) / Number of users at start of period * 100
What good looks like for this metric: 35% after one month
Ideas to improve this metric
Provide continuous value through updates
Engage users with regular content
Offer personalised experiences
Implement user feedback
Ensure seamless and user-friendly design
5. Daily Active Users (DAU) / Monthly Active Users (MAU)
The ratio of daily active users to monthly active users, indicating how sticky the product is. Calculated as DAU / MAU
What good looks like for this metric: 20% or higher
Ideas to improve this metric
Encourage daily engagement through notifications
Develop engaging daily content or features
Analyse and replicate behaviours of highly active users
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