Identifying the optimal Data Analyst metrics can be challenging, especially when everyday tasks consume your time. To help you, we've assembled a list of examples to ignite your creativity.
Copy these examples into your preferred app, or you can also use Tability to keep yourself accountable.
Find Data Analyst metrics with AI
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 the level of consumer recognition of a brand, typically through surveys and social listening
What good looks like for this metric: Pre and post-campaign survey results
Ideas to improve this metric
Increase social media presence
Collaborate with influencers
Use targeted online ads
Develop engaging content marketing
Execute a memorable PR stunt
2. Engagement Rate
Measures the level of interaction consumers have with brand content, calculated by the total engagement (likes, comments, shares) divided by the total views or reach
What good looks like for this metric: 2% to 3% engagement rate
Ideas to improve this metric
Create relatable and high-quality content
Post consistently at optimal times
Include a clear call-to-action
Utilise interactive content like polls
Respond to comments and messages promptly
3. Conversion Rate
The percentage of users completing a desired action, such as purchasing or signing up, calculated by the number of conversions divided by the total visitors
What good looks like for this metric: 2% to 5% conversion rate
Ideas to improve this metric
Simplify and speed up the checkout process
Enhance landing page design
Provide limited-time offers or discounts
A/B test call-to-action buttons
Ensure website is mobile-friendly
4. Customer Sentiment
Analysis of consumer attitudes towards a brand, often assessed through sentiment analysis tools on social media and review sites
What good looks like for this metric: 70% positive sentiment
Ideas to improve this metric
Monitor and address negative feedback swiftly
Encourage positive reviews from satisfied customers
Regularly conduct sentiment analysis
Engage in proactive customer service
Feature user-generated content
5. Return on Ad Spend (ROAS)
Calculates revenue generated for every dollar spent on advertising, by dividing total revenue by total ad spend
What good looks like for this metric: 3x to 5x ROAS
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
Having a plan is one thing, sticking to it is another.
Don't fall into the set-and-forget trap. It is important to adopt a weekly check-in process to keep your strategy agile – otherwise this is nothing more than a reporting exercise.
A tool like Tability can also help you by combining AI and goal-setting to keep you on track.
Tability's check-ins will save you hours and increase transparency
The best metrics for Accuracy in Multiple Warehouses