Identifying the optimal Data Manager 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 Manager 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.
The cost associated with acquiring a new customer, calculated by dividing all marketing expenses by the number of new customers acquired.
What good looks like for this metric: Typically between $200-$300 for B2C and $500-$1,000 for B2B
Ideas to improve this metric
Optimise marketing channels for cost efficiency
Improve targeting to attract high-value customers
Enhance marketing automation to reduce manual efforts
Utilise A/B testing to refine strategies
Negotiate better deals with marketing vendors
2. Customer Lifetime Value (CLV)
Predicted revenue that a customer will generate over their lifetime, calculated by multiplying the average purchase value by purchase frequency and average customer lifespan.
What good looks like for this metric: Benchmarks vary by industry, but CLV should ideally be 3 times CAC
Ideas to improve this metric
Develop loyalty programmes to increase retention
Upsell and cross-sell to existing customers
Enhance customer support for better satisfaction
Personalise customer experiences to boost engagement
Collect feedback to address pain points
3. Conversion Rate
The percentage of website visitors who take a desired action, calculated by dividing the number of conversions by the total visitors and multiplying by 100.
What good looks like for this metric: 2% to 5% is considered average across industries
Ideas to improve this metric
Optimise landing pages for clarity and actionability
Use clear calls-to-action (CTAs)
A/B test web page elements
Enhance website speed and usability
Target high-intent keywords in PPC and SEO strategies
4. Return on Marketing Investment (ROMI)
Measures the effectiveness of marketing campaigns by comparing the revenue generated to the cost of the campaign.
What good looks like for this metric: A ROMI above 5:1 is desirable
Ideas to improve this metric
Set clear campaign objectives and KPIs
Refine audience targeting to improve precision
Leverage data analytics for informed decision making
Focus on high-ROI channels and content
Conduct post-campaign analysis to measure outcomes
5. Social Media Engagement Rate
Measures the level of interaction on social media posts, typically calculated by dividing total engagement (likes, comments, shares) by total followers, then multiplying by 100.
What good looks like for this metric: 1% to 5% engagement rate is average depending on platform
Ideas to improve this metric
Create content that resonates with the audience
Engage with followers consistently
Use interactive content like polls and Q&A sessions
Collaborate with influencers to expand reach
Analyse engagement metrics to refine content strategy
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
The total expected revenue from a customer over the duration of their business relationship. It helps in understanding how much a company should spend on acquiring new customers.
What good looks like for this metric: Benchmarks vary by industry, but generally a CLV to customer acquisition cost (CAC) ratio of 3:1 is considered good
Ideas to improve this metric
Enhance customer retention strategies to increase repeat purchases
Personalise customer experience based on data analysis
Optimise pricing strategies to maximise revenue
Increase customer engagement through targeted marketing campaigns
Develop loyalty programs to encourage customer retention
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 Team Performance Evaluation