What are Analytics metrics? Identifying the optimal Analytics 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 Analytics 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.
Examples of Analytics metrics and KPIs 1. Average Session Duration The average time a user spends on the app or website during a single session
What good looks like for this metric: 2-3 minutes
Ideas to improve this metric Enhance content quality Simplify navigation Use engaging media like videos Implement interactive elements Regularly update content 2. Pages Per Session The average number of pages viewed during a single session
What good looks like for this metric: 2-3 pages
Ideas to improve this metric Improve internal linking Use engaging calls-to-action Create content series Offer related content Optimise page load times 3. Bounce Rate The percentage of visitors who navigate away from the site after viewing only one page
What good looks like for this metric: 40-55%
Ideas to improve this metric Improve page loading speed Use compelling headlines Improve mobile optimisation Add engaging multimedia Enhance user experience design 4. Returning User Rate The percentage of users who revisit the app or website
What good looks like for this metric: 30-50%
Ideas to improve this metric Offer loyalty programmes Send regular updates or newsletters Personalise user experience Implement retargeting ads Regularly update content 5. User Interaction Rate The ratio of users who actively engage with interactive elements (e.g., likes, shares, comments)
What good looks like for this metric: 1-3%
Ideas to improve this metric Create engaging posts Incorporate social sharing buttons Host contests or challenges Use call-to-action prompts Respond actively to user comments
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1. Listener Count Number of listeners who tuned in to the podcast episode featuring the appearance
What good looks like for this metric: 500-1000 listeners per episode
Ideas to improve this metric Promote the podcast on social media Encourage word-of-mouth sharing Collaborate with the podcast host for cross-promotion Engage with the podcast audience post-episode Leverage email marketing campaigns 2. Lead Generation Number of new leads generated as a result of the podcast appearance
What good looks like for this metric: 10-20 new leads per appearance
Ideas to improve this metric Include a special offer or call-to-action Mention a landing page or unique URL Utilise tracking links Follow up with listeners via email Provide valuable, actionable insights during the podcast 3. Social Media Engagement Increase in social media interactions (likes, shares, comments) following the podcast appearance
What good looks like for this metric: 15-30% increase in engagement
Ideas to improve this metric Share key highlights from the podcast Use engaging visuals Respond to audience comments and questions Host a live Q&A session Create shareable content related to the podcast topic 4. Website Traffic Spike in website visits post-podcast appearance, measured through unique visitors and page views
What good looks like for this metric: 5-10% increase in traffic
Ideas to improve this metric Mention your website during the podcast Promote blog posts related to podcast topics Offer free resources on your website Use SEO optimised content Collaborate on guest posts 5. Conversion Rate Percentage of podcast listeners who take a desired action (purchase, sign-up, etc.)
What good looks like for this metric: 2-5% conversion rate
Ideas to improve this metric Offer a limited-time discount Use compelling CTAs Provide a clear value proposition Optimise landing pages for conversions Deliver follow-up content with additional incentives
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1. Data Accuracy Rate Percentage of data entries without errors. Calculated as (Number of accurate entries / Total number of entries) * 100
What good looks like for this metric: 95-98%
Ideas to improve this metric Implement data validation rules Regularly audit data entries Train team on data entry best practices Utilise automated data entry tools Standardise data formats 2. Data Utilisation Rate Proportion of collected data actively used in decision-making processes. Calculated as (Number of data-driven decisions / Total decision counts) * 100
What good looks like for this metric: 80-90%
Ideas to improve this metric Encourage data-driven culture Implement decision-making frameworks Regularly review unused data Integrate data into daily workflows Provide training on data interpretation 3. Data Collection Time Average time taken to collect and organise data. Calculated as the total time spent on data collection divided by data collection tasks
What good looks like for this metric: 2-3 hours per dataset
Ideas to improve this metric Automate data collection processes Streamline data sources Provide training on efficient data gathering Utilise data collection tools Reduce redundant data fields 4. Data Quality Score Overall quality rating of data based on factors such as accuracy, completeness, and relevancy. Scored on a scale of 1 to 10
What good looks like for this metric: 8-10
Ideas to improve this metric Conduct regular data quality assessments Implement real-time data monitoring Utilise data cleaning tools Encourage feedback on data issues Adopt data governance policies 5. Data Sharing Frequency Number of times data is shared within or outside the team. Calculated as the number of data sharing events over a specific period
What good looks like for this metric: Weekly sharing
Ideas to improve this metric Create data sharing protocols Utilise collaborative data platforms Encourage data transparency Regularly update data repositories Streamline data access permissions
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1. Listening Rate Percentage of listeners who actually listen to the entire ad episode, calculated by comparing full ad listens to episode downloads.
What good looks like for this metric: 40-60%
Ideas to improve this metric Create engaging and relevant content Improve ad placement within the podcast Experiment with different ad lengths Use well-known voices or hosts Incorporate storytelling elements 2. Conversion Rate Percentage of listeners who take the desired action after hearing the ad, such as visiting a website or making a purchase.
What good looks like for this metric: 1-5%
Ideas to improve this metric Use clear call-to-actions Offer exclusive discount codes Simplify the listener journey Retarget listeners with follow-up ads Track and refine ad copy 3. Cost Per Acquisition (CPA) The cost of acquiring a new customer through podcast ads, calculated by dividing the total ad spend by the number of new customers acquired.
What good looks like for this metric: $30-$100
Ideas to improve this metric Negotiate better ad rates Focus on high-conversion podcast channels Optimize your landing page Continuously test ad creatives Leverage audience insights 4. Reach The total number of unique listeners who have heard your podcast ad.
What good looks like for this metric: Varies widely by podcast size
Ideas to improve this metric Collaborate with popular podcasts Promote across multiple platforms Leverage social media marketing Offer shareable content Invest in cross-promotion 5. Engagement Rate The level of interaction listeners have with the ad, including actions like sharing, commenting, or discussing the ad on social media.
What good looks like for this metric: 5-10%
Ideas to improve this metric Create interactive ad content Encourage listener participation Feature listener testimonials Engage with listeners on social media Incorporate listener feedback
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1. Follower Growth Rate Percentage increase in new followers over a specific period of time
What good looks like for this metric: 5-10% monthly increase
Ideas to improve this metric Post consistently Engage with followers' content Share industry-relevant news Utilise hashtags effectively Collaborate with influencers 2. Engagement Rate Ratio of interactions (likes, comments, shares) to total followers
What good looks like for this metric: 2-5% per post
Ideas to improve this metric Ask questions in posts Respond to comments and messages Use high-quality visuals Run polls or surveys Offer valuable insights 3. Content Reach Number of unique users who have seen your posts
What good looks like for this metric: 5-15% of total followers per post
Ideas to improve this metric Share posts at optimal times Tag relevant people and companies Encourage shares from followers Leverage LinkedIn Stories Use LinkedIn ads 4. Click-Through Rate (CTR) Percentage of users who click on links in your posts
What good looks like for this metric: 0.5-1.5%
Ideas to improve this metric Craft compelling headlines Use clear calls to action Include short, engaging descriptions Utilise attention-grabbing visuals Test different link placements 5. Profile Views Number of users who visit your LinkedIn profile
What good looks like for this metric: 100-200 views per month
Ideas to improve this metric Update profile regularly Use a professional profile picture Optimise headline and summary Request endorsements and recommendations Include relevant keywords
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Tracking your Analytics metrics 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.
More metrics recently published We have more examples to help you below.
Planning resources OKRs are a great way to translate strategies into measurable goals. Here are a list of resources to help you adopt the OKR framework:
Tability's check-ins will save you hours and increase transparency
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