25 key product management metrics & KPIs for 2025 (And how to track them)

Without clear product management metrics, product teams are flying blind. And yet, only 26% have very high visibility into the ROI of their product launches, with only 31% confident that they’re even building the right products for their customers, according to our research.

This lack of visibility comes at a critical moment. The role of product leaders has expanded dramatically, with 92% now accountable for revenue—nearly double the share from 2022. With pressure mounting to tie every product decision to business outcomes, understanding the ROI of launches has never been more important.

The challenge, however, lies in knowing which metrics truly matter. Tracking too many can create noise, while tracking too few can leave blind spots. That’s why we’ve compiled 25 essential KPIs and metrics every product manager should know—along with guidance on how to calculate them—so you can build with clarity, measure impact, and drive confident product decisions.

What are product management metrics and KPIs?

Product management metrics and key performance indicators (KPIs) are the benchmarks that help leaders and managers evaluate both product performance and the effectiveness of their overall product strategy. .

Beyond measuring success at the product level, these metrics shed light on the impact of specific initiatives—whether it’s customer retention programs, pricing decisions, marketing campaigns, or onboarding flows.

Ultimately, product management metrics turn gut feelings into concrete data. They provide a clear picture of how your product is performing in the market and with users, and they equip your team with the evidence needed to make smarter decisions, prioritize effectively, and deliver on business objectives.

Why should product managers track product metrics?

To build successful products, product managers need more than intuition—they need metrics. Tracking product management metrics helps teams understand user behavior, gather customer feedback, benchmark against competitors, and continuously improve product performance. The result? Stronger customer loyalty, higher revenue, and greater market share.

Some of the most important benefits of tracking product metrics include:

Think of it like training for a half marathon. Runners track pace, recovery, sleep, and nutrition to understand what’s working and where to adjust. Similarly, product management teams rely on metrics to surface insights, fine-tune processes, and ultimately accelerate toward their goals.

What are the most common types of product metrics?

Every product team emphasizes a different set of metrics related to their particular industry or product type, but here are some of the most common types of metrics:

Below, we’ll dive deeper into these, and many more, essential product management metrics. 

Top 25 product management metrics you should track

As the adage goes, what you don’t track, you can’t improve. From customer acquisition cost to daily active users, here are the 25 metrics product management teams should track. 

1. Customer acquisition cost (CAC)

Customer acquisition cost (CAC) measures the total investment required to bring in a new customer, including sales, marketing, and advertising expenses. For product teams, CAC is a window into how product decisions influence growth.

A high CAC may signal friction in onboarding or gaps in product-market fit, while a lower CAC often reflects a product that’s intuitive, delivers clear value, and spreads through word of mouth. Tracking CAC helps product teams collaborate with marketing and sales to reduce acquisition costs by improving activation flows, streamlining user journeys, and building features that drive faster adoption.

Example: If you spent $10,000 on marketing last month and acquired 100 new customers, your CAC is $100 per customer.

2. Monthly recurring revenue (MRR)

Monthly recurring revenue is the revenue generated each month from your customer base. It helps SaaS brands and other subscription-based businesses forecast revenue, assess business health, and measure business growth. 

Example: With 500 paid subscribers paying an average of $50/month, your MRR is $25,000.

3. Customer lifetime value (CLV)

Customer lifetime value (CLV) estimates the total revenue a customer is expected to generate over the course of their relationship with your company. For product teams, CLV is a powerful signal of whether the product is truly delivering sustained value.

A strong CLV doesn’t just justify acquisition costs—it reflects high retention, consistent engagement, and successful upsell or expansion opportunities driven by the product itself. By analyzing CLV across different segments, product teams can identify which users get the most long-term value from the product and double down on the features, experiences, and improvements that keep those customers engaged.

Example: If customers spend $100 quarterly for 2 years on average, CLV = $100 × 4 × 2 = $800.

4. Churn rate

Churn rate measures the percentage of customers who stop paying for your product over a specific period. High churn rates indicate issues with product-market fit, poor user experience, or inadequate customer success efforts. It provides feedback that helps teams create great products and improve their retention and engagement strategies.

Example: Lost 20 customers out of 1,000 at month start = 2% monthly churn rate.

5. Net Promoter Score (NPS)®

Net Promoter Score gauges customer loyalty and satisfaction by measuring how likely customers are to recommend your product. NPS correlates strongly with revenue growth and helps identify brand advocates while highlighting areas needing improvement.

Example: 60% promoters minus 15% detractors = NPS of 45.

6. Daily active users (DAU)

Daily active users (DAU) measures the number of unique users who engage with your product in a single day. More than a surface-level usage stat, DAU gives product teams a real-time pulse on engagement and whether the product is delivering daily value.

A rising DAU often signals sticky features and strong user habits, while a flat or declining DAU can highlight friction points, unmet needs, or poor retention. By pairing DAU with other metrics like feature adoption or retention cohorts, product teams can pinpoint which experiences drive daily engagement, and prioritize product improvements that strengthen overall product health.

Example: If 5,000 unique users logged in and used your app yesterday, your DAU is 5,000.

7. Monthly active users (MAU)

Monthly active users measures unique users engaging with your product, software, or app over 30 days. It provides a broader view of your user base than DAU and helps track growth trends, seasonal patterns, and the overall reach of your product.

Example: 50,000 users engaged with your platform this month = MAU of 50,000.

8. Feature adoption rate

Feature adoption rate measures the percentage of users who engage with a specific feature after it’s released. For product teams, it’s a direct indicator of whether new capabilities are resonating with users and delivering on their intended value.

High adoption rates point to features that solve real problems and enhance the user experience, while low adoption rates can reveal issues with discoverability, onboarding, or product-market fit. By tracking adoption across different user segments, product teams can decide which features to double down on, which need refinement, and where to focus development resources for the greatest impact.

Example: 2,500 out of 10,000 users utilize the new dashboard = 25% adoption rate.

9. Time to value (TTV)

Time to value (TTV) tracks how quickly new users experience meaningful outcomes with your product—whether that’s completing their first project, publishing content, or, in the case of an AI app builder, successfully prototyping an app.

For product teams, TTV is a crucial measure of onboarding effectiveness and early user experience. A shorter TTV means customers are reaching “aha moments” faster, which directly improves retention, satisfaction, and word-of-mouth adoption. If TTV is long, it may point to friction in setup, unclear workflows, or missing guidance, signaling opportunities for product teams to streamline onboarding and deliver quick wins that drive product-led growth.

Example: If a lead gen platform generates the first lead after 3 days of setup, the TTV is 3 days.

10. Conversion rate

Conversion rate measures the percentage of users who complete a desired action, such as signing up, making a purchase, or upgrading. Tracking this metric helps you optimize user journeys, measure the success of product marketing campaigns, and identify gaps in your sales funnel.

Example: 100 signups from 5,000 website visitors = 2% conversion rate.

11. Revenue growth rate

Revenue growth rate tracks how quickly your company’s revenue is increasing over a given period. While it’s often used by executives and investors to evaluate overall business momentum, it’s also a valuable signal for product teams.

For product managers, revenue growth connects directly to the impact of product decisions. A strong growth rate may reflect successful feature launches, pricing strategies, or expansion into new markets, while slowing growth can highlight missed opportunities or competitive pressure. By monitoring this metric, product teams can better prioritize roadmap investments, justify resource allocation, and align product strategy with the company’s broader growth objectives.

Example: Revenue grew from $100k to $120k = 20% growth rate.

12. Bounce rate

Bounce rate measures the percentage of users who leave your product after viewing only one page or screen, without taking further action. While often associated with websites, it’s equally relevant for digital products and apps where early drop-off signals missed opportunities to engage users.

For product teams, a high bounce rate can highlight friction points such as confusing navigation, irrelevant content, or slow load times. By tracking and analyzing bounce rate across different entry points, product managers can identify where users disengage, experiment with design or onboarding improvements, and create a more seamless first-touch experience that encourages deeper engagement.

Example: 1,500 single-page visits out of 5,000 total sessions = 30% bounce rate.

13. Average revenue per user (ARPU)

Average revenue per user calculates the average revenue generated per user over a specific period. It helps you measure how your onboarding, pricing, and retention strategies affect revenue numbers. You can also use it to spot high-value customer segments by applying the formula to different segments of your user base. 

Example: $50,000 revenue from 1,000 users = $50 ARPU.

14. Activation rate

Activation rate measures the percentage of new users who complete your onboarding process or reach meaningful milestones. Higher activation is often correlated with strong customer retention and long-term engagement. A low activation rate, on the other hand, suggests that new signups are either confused by the onboarding process or struggling to see the value of the product.   

Example: 350 users completed onboarding out of 500 signups = 70% activation rate.

15. Customer retention rate

Retention rate measures the percentage of customers who continue using your product over a defined period of time. For product teams, it’s one of the clearest indicators of product stickiness and long-term value delivery.

High retention shows that customers are consistently finding value in your product, while declining retention may signal unmet needs, usability issues, or stronger competition. Because retaining customers is typically more cost-effective than acquiring new ones, tracking retention helps product teams focus on improving core experiences, strengthening onboarding, and investing in features that keep users engaged and satisfied over time.

Example: Started with 1,000, ended with 950, gained 100 new = ((950-100) / 1000) x 100 = 85% retention rate.

16. Support ticket volume

Support ticket volume measures the number of customer support requests submitted over a given period. It's a valuable proxy for product quality, usability, and overall customer experience.

An increase in ticket volume often points to recurring pain points, confusing workflows, or bugs that need immediate attention. A decrease, on the other hand, can signal improvements in product stability, clearer onboarding, or better self-service resources. By breaking down ticket volume by product area or feature, product teams can identify where users struggle most, prioritize fixes, and invest in enhancements that reduce friction and improve satisfaction.

Example: Received 1,200 support tickets this month, up from 900 last month.

17. Feature request volume 

Feature request volume tracks the number and types of enhancement requests from users. This metric helps prioritize product roadmap decisions, identify user pain points, and validate demand for potential new features before investing development resources.

Example: Received 150 feature requests this month: 60 from enterprise users, 90 from freemium users, with mobile improvements being the most requested category.

18. User feedback rate

User feedback rate measures what percentage of your user base actively provides feedback through surveys, reviews, or direct communication. A healthy feedback rate (between 5-30%) indicates loyal, engaged customers who have a stake in your product’s success. A high rate also means product teams are receiving insights for product improvement and validation.

Example: 100 users submitted feedback out of 1,000 MAU = 10% feedback rate.

19. Customer sentiment score

Customer sentiment score evaluates the emotional tone of customer communications, reviews, and feedback to reveal how users feel about your product. It’s an early signal of how updates, new features, or overall product changes are landing with customers.

For example, sentiment around a new release might trend negative if users encounter friction, flat if it adds little perceived value, or enthusiastic if it exceeds expectations. Beyond measuring satisfaction, tracking sentiment helps product teams monitor brand perception, detect user experience issues before they escalate, and prioritize fixes or enhancements that protect both customer trust and revenue.

Example: This month's feedback: 60% positive, 25% neutral, 15% negative = +45 sentiment score.

20. Escalation rate

Escalation rate tracks the percentage of support issues that require escalation to higher-level support or development teams. High escalation rates can mean that your product is too complex or that your team offers too little in terms of training, tutorials, and technical documentation. 

Example: 30 tickets escalated out of 1,000 total support tickets = 3% escalation rate.

21. Market share

Market share measures your product's portion of the total addressable market. For example, Apple’s market share in the mobile vendor market is around 28%. Tracking market share helps you evaluate your competitive position and identify growth opportunities and scale potential in your industry.

Example: $10M revenue in a $500M market = 2% market share.

22. Viral coefficient

Viral coefficient measures how many new users each existing user brings to your product through referral links or social shares. A coefficient above 1.0 indicates viral growth, where your user base can grow exponentially without additional marketing spend.

Example: Users send 5 invites each with 20% conversion = 1.0 viral coefficient.

23. Customer satisfaction score (CSAT)

Customer satisfaction score measures how happy customers are with your product. The metric provides direct feedback on user experience and helps identify improvement areas. A high score is indicative of strong referral marketing and user retention.

Example: 400 satisfied responses out of 500 surveys = 80% CSAT score.

24. Product stickiness 

Product stickiness measures how often users return to your product, making it a popular metric for SaaS teams. It’s a direct indicator of how essential the product is in users’ daily or weekly routines.

High stickiness shows that customers are consistently finding value, building habits around your product, and enjoying the overall experience. Low stickiness, on the other hand, may point to gaps in usability, limited perceived value, or features that don’t encourage repeat engagement. By tracking stickiness, product teams can identify which experiences keep users coming back, and double down on the elements that drive long-term loyalty.

Example: With 5,000 daily active users and 25,000 monthly active users, stickiness is 20% (meaning users engage with your product 20% of days in a month).

25. Time to market

Time to market tracks how long it takes to bring a new feature or product from initial concept to customer launch. For product teams, it reflects not just development speed, but the overall efficiency of collaboration, decision-making, and execution.

A faster time to market shortens the feedback loop, allowing teams to learn from real customer usage sooner. It also helps organizations seize opportunities ahead of competitors, adapt quickly to market changes, and deliver value when it matters most. Monitoring this metric enables product teams to spot bottlenecks in their workflows and refine processes that accelerate innovation without sacrificing quality.

Example: A new integration feature took 12 weeks from initial planning meeting to customer launch, indicating your team's current time to market velocity.

Track product management metrics with ProductCentral  

Tracking the right metrics is nearly impossible without the right platform.

ProductCentral unifies your entire product portfolio, giving teams executive dashboards to track real-time progress against OKRs and connect strategy to execution. Omni, your Airtable sidekick, understands your business data and can answer questions instantly—like “What’s our active user growth this quarter?”

On top of that, ProductCentral’s AI tools automate time-consuming reporting tasks, from analyzing customer feedback to aligning product roadmaps with business goals. As a result, your team can spend less time buried in admin work and more time driving product success.

See for yourself by booking a demo.