# Topic: Metrics

> The numbers that matter: defined, benchmarked, and put to work.

- 53 entries

- [Customer Acquisition in Financial Services: Trust First](https://www.productgrowth.blog/p/financial-services-customer-acquisition) (Aug 24, 2026) — Customer acquisition in financial services works when trust, eligibility and first value share one funnel. A playbook for banks, lenders, fintechs and insurers.
- [Why Personal Finance Apps Fail at User Retention](https://www.productgrowth.blog/p/personal-finance-app-user-retention) (Aug 22, 2026) — Personal finance apps fail user retention when they optimise for account linking and dashboard visits instead of recurring financial decisions and visible progress.
- [SaaS Growth Benchmarks: Match the Cohort First](https://www.productgrowth.blog/p/saas-growth-benchmarks) (Aug 8, 2026) — SaaS growth benchmarks are comparison protocols, not universal targets. Match a metric's definition, cohort, period, and commercial profile before you act.
- [Customer Retention Cost: Formula, Example, and CAC Ratio](https://www.productgrowth.blog/p/customer-retention-cost) (Aug 7, 2026) — The customer retention cost formula, a worked example with the costs teams forget, and why CRC has no industry benchmark. Compare it to your own CAC instead.
- [Revenue Optimization: The Four Levers, Ranked](https://www.productgrowth.blog/p/revenue-optimization) (Aug 7, 2026) — Revenue optimization has four levers and they are not equal. Ranked by how much each moves, why teams start at the weakest, and what to fix before price.
- [Customer Retention Metrics: The 12 That Matter Most](https://www.productgrowth.blog/p/customer-retention-metrics) (Jun 28, 2026) — The retention metrics worth tracking: retention rate, churn, NRR, stickiness, activation and NPS, with the good SaaS number for each and which to watch first.
- [What Is Customer Acquisition (and What It Costs)](https://www.productgrowth.blog/p/customer-acquisition) (Jun 27, 2026) — Customer acquisition is the process of winning new customers, from awareness to first payment. The definition, the funnel, the cost by industry, and what scales.
- [What Is Customer Retention (and Why It Decides Growth)](https://www.productgrowth.blog/p/customer-retention) (Jun 27, 2026) — Customer retention is the share of customers a business keeps over a period. The definition, the formula, why it beats acquisition, and how to measure it.
- [How ElevenLabs Hit $330M ARR: The Three-Platform Flywheel That Conquered Enterprise AI](https://www.productgrowth.blog/p/how-elevenlabs-hit-330m-arr) (Mar 9, 2026) — ElevenLabs runs three platforms: the API hooks developers, the Voice Library engages creators, and ElevenAgents converts both into enterprise contracts.
- [$300M in 11 Months: The Rise and Reckoning of Higgsfield AI](https://www.productgrowth.blog/p/higgsfield-growth-teardown) (Mar 5, 2026) — Higgsfield AI's customer acquisition strategy ran on influencer distribution and multi-model aggregation: $300M ARR in 11 months, then a reputation crisis.
- [GaaS Is Coming: What Jensen Huang’s GTC Keynote Means for Growth Teams](https://www.productgrowth.blog/p/gaas-is-coming-saas-to-outcome-based-pricing) (Mar 1, 2026) — Seat compression is breaking SaaS revenue. What outcome-based pricing looks like in practice, and five moves for teams still selling by the seat.
- [How Gamma Turned a 95% Drop-Off into $100M ARR](https://www.productgrowth.blog/p/gamma-growth-teardown-100m-arr) (Feb 28, 2026) — Gamma fixed a 95% drop-off with one AI bet: generate the first draft for the user. That took it from 60K to 3M users in three months, and on to $100M ARR.
- [Churn Rate](https://www.productgrowth.blog/calculators/churn-rate) — Churn rate is customers lost divided by customers at the start of a period. Run your own numbers against real monthly churn benchmarks by industry.
- [How Midjourney Hit $500M ARR With Zero VC and Zero Marketing](https://www.productgrowth.blog/p/how-midjourney-hit-500m-arr) (Dec 17, 2025) — Midjourney's customer acquisition strategy: borrow Discord's distribution, charge from day one, and let every public image sell the product. $500M, zero marketing.
- [Hacking Growth with GPT-5](https://www.productgrowth.blog/p/gpt-5-and-growth-hacking) (Aug 11, 2025) — Turning GPT-5 into a repeatable growth engine: reliable agent workflows for research, programmatic SEO and onboarding that cut CAC and lift activation.
- [How Cursor AI Hacked Growth and Re-Wrote Growth Playbook for Dev-Tools!](https://www.productgrowth.blog/p/how-cursor-ai-hacked-growth) (Jun 22, 2025) — Cursor's customer acquisition strategy: a weekend hack to $200M ARR in two years with zero salespeople. Steal its PLG, data loops, and community tactics.
- [From Near-Shutdown to $40 M ARR: How Bolt.new Hacked Its Growth](https://www.productgrowth.blog/p/how-bolt-new-hacked-its-growth) (Jun 2, 2025) — How Bolt.new went from near shutdown to over $40M ARR with a zero-ad customer acquisition strategy, plus growth hacks AI founders and marketers can steal.
- [Engagement Rate](https://www.productgrowth.blog/calculators/engagement-rate) — Engagement rate is engaged users divided by total users or reach, times 100. Run your own numbers against real engagement benchmarks by industry.
- [Lead Scoring](https://www.productgrowth.blog/tools/lead-scoring) — Lead scoring ranks prospects 0 to 100 by combining fit with intent, so sales works the likeliest buyers first. Score a lead and see the tier it lands in.
- [Cohort retention projection](https://www.productgrowth.blog/tools/cohort-analysis) — Cohort retention projection shows what a chosen Month 1 assumption and later-month multiplier would produce over 12 months. It does not measure event data.
- [Feature Adoption Rate](https://www.productgrowth.blog/calculators/feature-adoption-rate) — Feature adoption rate is feature users divided by active users, times 100. Run the calculator, get the formula, and see adoption benchmarks by industry.
- [Freemium](https://www.productgrowth.blog/calculators/freemium) — Freemium conversion rate is paying users divided by free users. Run your own numbers against real free-to-paid benchmarks across seven industries.
- [Revenue Per User (RPU)](https://www.productgrowth.blog/calculators/revenue-per-user-rpu) — Revenue per user, or ARPU, is total revenue divided by active users. Run the formula, see a worked example, and compare against ARPU benchmarks by industry.
- [Time to Value (TTV)](https://www.productgrowth.blog/calculators/time-to-value-ttv) — Time to value is how long a new user takes to reach your first real value moment. Run the calculator, get the formula, and see TTV benchmarks by industry.
- [User Onboarding Rate](https://www.productgrowth.blog/calculators/user-onboarding-rate) — Onboarding rate is users who finished onboarding divided by users who started. Run the calculator, get the formula, and see completion benchmarks by industry.
- [Annual Recurring Revenue (ARR)](https://www.productgrowth.blog/calculators/annual-recurring-revenue-arr) — ARR is your monthly recurring revenue times twelve. Annualize your MRR, then check year-over-year growth against real benchmarks by industry.
- [CAC Payback Period](https://www.productgrowth.blog/calculators/cac-payback-period) — CAC payback is the months of gross profit needed to recover what you spent winning a customer. Run yours, and see what good looks like by industry.
- [Daily Active Users (DAU)](https://www.productgrowth.blog/calculators/daily-active-users-dau) — DAU counts the unique people who do something meaningful in your product each day. Get your DAU/MAU stickiness and what counts as good by industry.
- [LTV:CAC Ratio](https://www.productgrowth.blog/calculators/ltv-cac-ratio) — LTV:CAC is lifetime value divided by acquisition cost, the dollars earned back per dollar spent winning a customer. Run yours against benchmarks by industry.
- [Monthly Active Users (MAU)](https://www.productgrowth.blog/calculators/monthly-active-users-mau) — MAU counts the unique people who take a meaningful action in your product in a month. Get your MAU, its growth rate, and how that compares by industry.
- [Monthly Recurring Revenue (MRR)](https://www.productgrowth.blog/calculators/monthly-recurring-revenue-mrr) — MRR is new plus expansion minus churned recurring revenue. Run your own numbers, then check month-over-month growth against benchmarks by industry.
- [Net Promoter Score (NPS)](https://www.productgrowth.blog/calculators/net-promoter-score-nps) — NPS is promoters minus detractors on a 0 to 10 recommend question, scored from -100 to 100. Calculate yours, then check it against benchmarks by industry.
- [Expansion Revenue](https://www.productgrowth.blog/calculators/net-revenue-retention) — Expansion revenue is what existing customers add through upgrades, seats and usage. Calculate it, then judge it against net revenue retention benchmarks.
- [Product Qualified Lead (PQL)](https://www.productgrowth.blog/calculators/product-qualified-lead-pql) — PQL rate is product-qualified leads divided by total signups. Run the calculator, get the formula and a worked example, plus PQL benchmarks by industry.
- [UTM (Urchin Tracking Module)](https://www.productgrowth.blog/tools/utm-urchin-tracking-module) — UTM parameters are tags on a link so analytics can attribute a visit to a source, medium and campaign. Build a tagged URL, then read the naming conventions.
- [Customer Lifetime Value (LTV)](https://www.productgrowth.blog/calculators/customer-lifetime-value-ltv) — LTV is the total gross profit one customer generates before they churn. Run the formula, see a worked example, and compare against benchmarks by industry.
- [Activation Rate](https://www.productgrowth.blog/calculators/activation-rate) — Activation rate is the share of new signups who reach your first value moment. Run your own numbers, get the formula, and see benchmarks by industry.
- [Retention Rate](https://www.productgrowth.blog/calculators/retention-rate) — Customer retention rate is the share of a fixed starting cohort still active at period end. Calculate it with stable IDs and compare that cohort over time.
- [Website Traffic](https://www.productgrowth.blog/calculators/website-traffic) — Turn monthly visitors into leads, customers and revenue using your funnel rates. The number that matters is visitor-to-customer, scored across seven industries.
- [Conversion Rate](https://www.productgrowth.blog/calculators/conversion-rate) — Conversion rate is conversions divided by visitors, times 100. Run your own numbers against real visitor-to-signup benchmarks across seven industries.
- [Cost Per Lead (CPL)](https://www.productgrowth.blog/calculators/cost-per-lead-cpl) — Cost per lead is total marketing spend divided by the leads it generated. Run the calculator, get the formula and a worked example, plus CPL benchmarks.
- [Customer Acquisition Cost (CAC)](https://www.productgrowth.blog/calculators/customer-acquisition-cost-cac) — CAC is total sales and marketing spend divided by the new customers it won. Run the calculator, get the formula, and see CAC benchmarks by industry.
- [The PLG Framework: Your hands-on Guide to Product-Led Growth](https://www.productgrowth.blog/p/the-plg-framework-your-hands-on-guide) (Jun 3, 2024) — A hands-on product-led growth framework: the five stages, the team behind them, the experiment engine, and ten PLG companies with the mechanism shown.
- [Measuring Success in Product-Led Growth](https://www.productgrowth.blog/p/measuring-success-in-product-led-growth) (Jul 10, 2023) — Which numbers actually tell you a product-led motion is working, which ones flatter it, and how the teams that got it right chose between them.
- [User Behavior Analytics: A Guide to Understanding and Optimizing Customer Journeys](https://www.productgrowth.blog/p/user-behavior-analytics-a-guide-to-understanding-and-optimizing-customer-journeys) (Jul 3, 2023) — What to track when you want to know why users drop off: the metrics that matter, the tools worth setting up, and how to turn a session recording into a fix.
- [Utilizing Customer Journeys, User Research, and Data Metrics for Product Growth Success](https://www.productgrowth.blog/p/utilizing-customer-journeys-user-research-and-data-metrics-for-product-growth-success) (Jun 10, 2023) — Product growth follows from understanding the journey customers actually take. How to map it with user research, and the metrics that keep the map honest.
- [Benchmarking and Prioritization in Product Growth](https://www.productgrowth.blog/p/benchmarking-and-prioritization-in-product-growth) (Jun 3, 2023) — How to benchmark a product metric against something meaningful, and how to decide which growth work to do first when everything looks equally urgent.
- [A Comprehensive Guide to Data-Driven Product Growth Strategies and Cross-Functional Collaboration](https://www.productgrowth.blog/p/a-comprehensive-guide-to-data-driven-product-growth-strategies-and-cross-functional-collaboration) (May 27, 2023) — How to run product growth from data rather than opinion, and how to get product, marketing and engineering pulling on the same numbers instead of separate ones.
- [Product Growth: Leveraging Product Metrics, Cohorts, and Counter-Metrics for Sustainable Success](https://www.productgrowth.blog/p/product-growth-leveraging-product-metrics-cohorts-and-counter-metrics-for-sustainable-success) (May 20, 2023) — Which product metrics to trust, how cohorts expose what averages hide, and why every growth metric needs a counter-metric to stop it being gamed.
- [How to Effectively Use Data Analysis to Interpret User and Customer Behavior?](https://www.productgrowth.blog/p/how-to-effectively-use-data-analysis-to-interpret-user-and-customer-behavior) (May 13, 2023) — How to read customer behaviour from your own data: which analyses answer which question, where predictive models help, and where they quietly mislead.
- [What is User Behavior Analysis? 4 Essential Methods and 1 Secret Weapon to Outshine Your Competition](https://www.productgrowth.blog/p/what-is-user-behavior-analysis-4-essential-methods-and-1-secret-weapon-to-outshine-your-competition) (Apr 1, 2023) — Four methods for reading what users do on your site, plus the one most teams skip. How to spot technical faults and growth openings in the same pass.
- [User Behaviour Tracking: How Understanding User Behaviour drives the growth of your Product.](https://www.productgrowth.blog/p/user-behaviour-tracking-how-understanding-user-behaviour-drives-the-growth-of-your-product) (Oct 19, 2022) — How to track user behaviour without drowning in dashboards: the funnel metrics worth watching, and how to turn Analytics and Hotjar data into an actual change.
- [A/B testing a product feature - Straight Forward](https://www.productgrowth.blog/p/a-b-testing-a-product-feature-straight-forward) (Jun 18, 2022) — A product marketer's rules for A/B tests that hold up: one clear hypothesis, one variable at a time, a sample big enough to trust, and the biases that fool you.

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