Everything, by topic.
Blog posts, guides and metric pages in one place — pick a tag to see everything we have on it.
Server-side vs client-side tracking, explained without jargon
Almost every analytics tool works the same way: a script in the visitor's browser reports back what happened. Server-side tracking moves that reporting to a computer you control — which is why ad blockers can't stop it, and why it costs real money to set up. Here's how both work, what switching actually recovers, and when it's worth it.
Cookieless analytics: how counting without cookies actually works
'Cookieless' is a single label covering at least three different techniques, and they trade away different things — mostly the ability to recognize a visitor who comes back tomorrow. Here's how each approach counts people, why cookieless tools often show more traffic than Google Analytics, and where the no-banner-needed claims actually stand in 2026.
Session replay lawsuits, explained for site owners
Thousands of websites have received wiretapping lawsuits or demand letters for running session replay and tracking pixels — under a California law written in 1967. Most of them could have avoided it with one change: nothing records until the visitor clicks Accept. Here's what the lawsuits actually claim, what the courts have decided so far, and what to check on your own site.
Dark traffic: the visitors your analytics can't see
Ad blockers stop the analytics script for roughly a third of the web. Privacy browsers strip referrers and cap cookies. Consent banners never get an answer from half of desktop visitors. And most private shares arrive with no referrer at all, landing in Direct. Your dashboard shows a sample, not the universe.
Why your analytics numbers never match: GA4 vs ads platforms
Your Google Ads campaign reports 150 conversions. GA4 reports 80. The gap exists because each system answers a different question and counts conversions by different rules — attribution windows, view-through credit, modeled conversions, click dates. Here's why, and which number to use for what.
Identify website visitors: from anonymous visit to customer profile
Strangers can't be unmasked — legitimate analytics doesn't identify people who haven't identified themselves. But your own users are different: choose to recognize them at signup, and their entire anonymous pre-signup history merges into a named profile. Here's what that makes possible.
What's a good conversion rate? Benchmarks by industry and traffic source
Around 2% for an online store, 3–6% for a lead-gen site, and 6%+ for a dedicated landing page — the 'average conversion rate' depends entirely on what's being counted. Here are the 2026 numbers from sources that publish their methodology, and how to read them without fooling yourself.
What counts as a “session”? Every tool defines it differently
Most analytics tools end a session after 30 minutes of inactivity — but GA4 stopped splitting sessions at midnight, Matomo still does, Fathom uses a 24-hour window, and some privacy tools don't count sessions at all. Same traffic, different numbers, and almost nobody discloses which rules they're playing by.
Average session duration is lying to you
The last page of every visit contributes zero seconds, bounces drag the average toward nothing, and whether the clock keeps running while a tab sits in the background depends on which tool you ask. Here's how the number is actually computed, why it fell when you switched to GA4, and what to look at instead.
What is web analytics? A plain-English guide
You add one small script to your site and it starts counting: how many people visited, which search or link brought them, and whether any of them signed up. This guide explains how that works, what the terms on the dashboard mean, and how much to trust the numbers.
Why did my traffic drop? A step-by-step diagnosis
Most traffic drops have one of five causes: broken tracking, seasonality, a channel-specific problem, a Google update, or AI Overviews eating your clicks. Check them in that order — the common causes are also the fastest to rule out.
How to track website conversions
A conversion is just the action you want a visitor to take. Which action it is, is your call — and the choice decides everything the number is worth.
How to check website traffic — for your site or any site
Checking your own site takes one snippet and two minutes for exact numbers. Checking someone else's takes an estimator and a grain of salt. Both routes, free — and the accuracy data the tool pages don't mention.
How accurate are website traffic checkers?
Screaming Frog compared estimators against real analytics on 25 sites: Semrush ran about 42% low, Ahrefs 36%, and SimilarWeb averaged closest with the wildest variance. Where the numbers come from, and when to trust them.
Why do different analytics tools show different numbers?
Run two analytics tools on one site and they'll disagree by 10–30% — with both correct by their own rules. The six causes of the gap, which number sits closest to the truth, and how to work with it.
What's a good amount of traffic for a website?
A consultancy can thrive on 300 visits a month while a content site starves on 50,000. The benchmark worth having comes from your own numbers: monthly goal divided by conversion rate.
Who is visiting my website? What you can (and can't) see
No tool will hand you the names of anonymous visitors — anyone promising that is selling trouble. What you can see: sources, journeys, company names on B2B traffic, and everything, once someone signs up.
I just launched my product. What should I track first?
Launch week needs five numbers, and most analytics tools ship with forty. Visitors, sources, one action, signups and one activation signal — in that order. Everything else can wait for month two.
The only 5 metrics to check every morning
A morning check should take three minutes, not a dashboard safari. Five numbers with yesterday's baseline attached — and the popular ones that deliberately aren't on the list.
Session replay, explained (with examples)
A session recording is a reconstruction, not a video — a distinction that decides what it can show, what it must hide, and why it costs so little to run. How replay works, three real failure patterns, and the workflow that keeps it from eating afternoons.
Heatmaps vs. session replay: what's the difference?
One shows a thousand visitors on a single page, the other shows one visitor across a whole visit. When each is the right tool — and the specific ways each one lies.
Best Hotjar alternatives (2026)
Hotjar is being folded into Contentsquare, and a lot of teams are shopping. The alternatives compared in plain language — what each one is for, and where the catches are.
What events to track on your website
There's one event worth more than all the rest: the action that predicts whether a new user sticks around. Here's how to find it — and the short list of others actually worth tracking.
Traffic sources: direct vs. organic vs. referral vs. paid
Four buckets decide where your visitors 'came from' — and the biggest one is a catch-all for traffic the tool couldn't identify. What each source really means, why 'direct' misleads, and why the top source of visits is rarely the top source of revenue.
Nobody signed up. Here's what to check first
Zero sign-ups after a launch rarely means the idea flopped — usually it's a broken form, an invisible offer, or a vague pitch. The order to check them in, before you touch the product.
How to see where users get stuck on your website
Session recordings and heatmaps turn a drop-off number into a video of the exact moment someone gave up. The four friction patterns to look for, and the four-step workflow for finding yours.
A simple Google Analytics alternative that shows revenue
GA4 can answer almost any question — after a property, a data stream, a tag manager, and a weekend. Here's what a simpler tool needs to cover, and where the trade actually sits.
Checkout abandonment rate: benchmarks and how to reduce it
Roughly seven in ten started checkouts never finish. What counts as normal, how to find your leak, and which fixes actually move the number.
What is a good bounce rate?
Under 40% is good, over 70% is a flag — except for blogs, landing pages, and every other case where it isn't. What the number means and when to ignore it.
UTM parameters: a practical guide
Five little tags decide whether 'is my marketing working?' has an answer. How UTMs work, the naming rules that keep data clean, and the one place never to use them.
Page views vs. visits vs. unique visitors
One person, two coffee breaks and seven pages is 1 visitor, 2 visits and 7 pageviews. Which number to quote, when, and why no two tools ever agree.
Lovable's built-in analytics: what it tracks and where it stops
Lovable ships a traffic dashboard with every published app. It answers 'did people come?' well — and goes quiet the moment you ask what they did.
Replit's built-in analytics: what it tracks and where it stops
Replit ships genuinely good infrastructure telemetry with every published app — requests, uptime, CPU. The catch: a request isn't a person, and none of it says what users actually did.
How to calculate churn rate
The exact formulas for customer churn, revenue churn, net revenue churn and NRR — each with a worked example, and the annualising trap to avoid.
Annual churn rate: formula and monthly conversion
Annual churn isn't monthly × 12. The compounding formula in both directions, a conversion table, and when to measure directly instead.
Annual Contract Value (ACV)
The yearly value of a customer contract — the ACV formula, how it differs from ARR, and what it tells you about your motion.
SaaS Magic Number
How much new revenue each sales and marketing dollar buys — the magic number formula and the thresholds that matter.
Burn Rate & Burn Multiple
How much cash you burn for every dollar of net new ARR — the capital-efficiency metric investors now ask for first.
Renewal Rate
The share of contracts that renew when they come up — how renewal rate differs from retention, and what to count.
Bookings vs Billings vs Revenue
One signed deal produces three different numbers — what bookings, billings and revenue each measure and when to use which.
ARPA vs ARPU vs ASP
Three per-something revenue averages that get mixed up constantly — what each one divides by, and when to use which.
LTV vs CAC
Customer lifetime value against acquisition cost — how the two halves of unit economics relate, and how to compare them honestly.
CMRR (Committed MRR)
MRR adjusted for what you already know is coming — signed contracts not yet live, and churn already given notice.
SaaS Gross Margin
The share of revenue left after the cost of serving it — why gross margin sits underneath LTV, payback and Rule of 40.
DAU/MAU (Stickiness Ratio)
The share of monthly active users who show up daily — how to read stickiness, and what counts as good for SaaS.
NDR vs NRR
Net dollar retention and net revenue retention — two names, one metric. Where each is used and what to check before comparing.
ACV vs ARR
Contract value versus company run-rate — what each measures, how they relate, and the reporting traps between them.
ARR per Employee
Revenue divided by headcount — the one-line productivity test investors run on every SaaS company, and what counts as good.
How to calculate NRR from Stripe data
A step-by-step method for computing net revenue retention from Stripe subscriptions — and the traps that skew it.
Why your Stripe MRR is wrong
Stripe's MRR and your real MRR can quietly disagree — where the definitional gaps are in 2026, and how to build a number you can trust.
How to reduce SaaS churn
A working playbook for cutting customer and revenue churn — diagnose the leak, fix onboarding, catch the warning signs, win some back.
What is a good trial-to-paid conversion rate?
Trial conversion benchmarks by signup motion — why freemium at 3% and card-up-front at 40% can be the same quality funnel.
What is a good activation rate?
Activation benchmarks by product complexity — why 30% can be world-class, and the definition trap that makes most comparisons meaningless.
Net Dollar Retention (NDR)
The US name for net revenue retention — what NDR measures, how to calculate it, and what counts as good.
Customer Acquisition Cost (CAC)
What it really costs to win a new customer — the CAC formula, what to include in it, and how to judge the number.
LTV:CAC Ratio
The one number that says whether your growth engine makes money — how to calculate LTV:CAC and what a good ratio looks like.
CAC Payback Period
How many months until a new customer pays back their acquisition cost — the cash-flow metric that keeps growth honest.
Revenue Churn Rate
The share of recurring revenue you lose each month — gross vs net revenue churn, the formulas, and which one to watch.
MRR vs ARR
Monthly and annual recurring revenue are the same number at two time scales — when to use each, and the conversion traps to avoid.
Rule of 40
Growth rate plus profit margin should clear 40 — the formula, why it works, and how to read your score.
Negative Churn
When expansion from existing customers outgrows everything churn takes away — the most valuable state in SaaS, explained.
NRR vs GRR
Net and gross revenue retention answer different questions — what each one hides, and why you need to read them together.
Churn Rate vs Retention Rate
Two sides of the same coin — how churn and retention rates relate, and when each framing serves you better.
What is a good NRR for SaaS?
NRR benchmarks by stage, ACV and motion — where 110% is exceptional, where it's table stakes, and when a great NRR is hiding a problem.
Average SaaS churn rate: benchmarks by segment
What churn rate is normal, what's good, and how the answer changes with deal size — customer and revenue churn benchmarks for SaaS.
Churned Paying Accounts
The logos behind your Churn MRR — the direct offset to new paying accounts.
New Paying Accounts
The logos behind your New MRR — how many customers, not just how many dollars.
Engaged Accounts
The deeply-engaged core of your base — the accounts most likely to renew and expand.
Active Accounts
Accounts still showing up in the product — the usage signal that leads paying-account churn.
Average Revenue Per User (ARPU)
The value of a seat rather than a customer — the sharper lens for seat-based and product-led businesses.
Average Revenue Per Account (ARPA)
The typical monthly value of a customer — a building block for lifetime value, and a mix-shift trap.
Gross-to-Net Spread
The gap between NRR and GRR — exactly how much expansion is doing to lift your retention.
Growth Efficiency Index
How much of every dollar you win actually survives as net growth after churn and contraction.
Expansion to Contraction Count Ratio
The same trade-up story by customer count — how widespread up-tiering is, independent of deal size.
Expansion to Contraction MRR Ratio
Upsell dollars against downgrade dollars — whether your existing base is trading up or down.
Gross Churn Coverage
How many times new MRR covers the revenue you lost to churn — is fresh business outrunning cancellations?
SaaS Quick Ratio
The SaaS quick ratio — dollars gained for every dollar lost, your whole MRR bridge compressed into one number.
Time to Engaged
Signup to the second value milestone — where trying the product turns into relying on it.
Time to Activated
How fast a new signup reaches first value — and why speed to the aha moment decides everything after it.
Trials Started
A stronger intent signal than a raw signup — the bridge between the funnel top and paying customers.
Signups
The top of the funnel — a denominator for every rate below it, and a vanity number on its own.
Expansion Rate
How many of your existing customers are growing — the breadth of expansion, not just the dollars.
Trial-to-Paid Conversion Rate
The share of trials that become paying customers — the sharpest read on whether your trial proves its value.
Median Time to Return
How long the typical churned customer takes to come back — the shape of your win-back opportunity.
Win-back Rate
The share of churned customers who come back — how permanent your churn really is.
Average Company Lifespan
The company-level counterpart to account lifespan — why organisations outlast individual seats.
Average Account Lifespan
How long a paying account is expected to last — churn rate translated into a time horizon.
Realized Customer Lifetime Value
The revenue a customer has actually paid — the factual counterpart to projected cLTV.
Customers Retention Rate
The flip side of churn — and why a reassuringly high monthly rate still compounds into big annual losses.
Average Reactivation Amount
The typical MRR a returning customer comes back on — often different from what they left on.
Average Churn Amount
The typical size of a cancellation — not how many customers you lost, but how big they were.
Average Contraction Amount
The typical size of a downgrade — whether customers are trimming a little or cutting deep.
NRR Cohort
Net revenue retention by acquisition cohort — how each intake of customers holds up as it ages.
Average Expansion Amount
The typical size of an upgrade — whether your expansion comes from many small bumps or a few big ones.
Durable MRR
The revenue still standing a year from now at today's churn — the conservative floor beneath your MRR.
Average New Companies Discount Size
The typical discount per enterprise deal — how much of each company win is bought with price.
Expansion Saturation
The share of customers who have already expanded — a gauge of how much up-tier runway is left.
Average New Accounts Discount Size
How deep your concessions run per deal — not just how often you make them.
Annual Share
The portion of MRR on annual contracts — the quietest lever on how durable your revenue is.
Discounted New Companies
The company-level view of discount-driven acquisition — fewer, larger, more negotiated.
Paying Customers Movements
The MRR movements counted in customers instead of dollars — how widespread each change really is.
Discounted New Accounts
How many new customers were won with a price concession — the scale of discount-dependent acquisition.
Paying Accounts
The count of customers actually paying you — the simplest measure of how big your base really is.
Reactivation Share of Gross Adds
How much of your new revenue is really returning customers — good news that can hide a churn problem.
Discounted First Payment Rate
How often you need a discount to close — price doing work your value proposition should.
Annual Recurring Revenue (ARR)
Your recurring revenue at annual scale — the same book as MRR, in the unit boards and investors think in.
Average Sales Price (ASP)
The typical New MRR a new customer brings — and the clearest read on whether you're moving up-market.
Discount Value
The up-front discount used to win new customers — acquisition spend hiding inside your pricing.
MRR Growth Rate
The percentage change in recurring revenue period over period — the number investors instinctively annualise.
Net New Revenue
The bottom line of your MRR movements — how much recurring revenue you actually added or lost this period.
MRR Discount Amount
The revenue you chose not to collect — the mirror image of MRR, and just as worth measuring.
Monthly Recurring Revenue (MRR)
The predictable subscription revenue that repeats every month — the number every other SaaS metric is built on.
Activation rate
Why the percentage of users who reach value matters more than total signups.
Dispute Rate
Chargebacks as a share of billings — one of the few metrics with a hard operational ceiling.
Gross Revenue Retention (GRR)
Your revenue floor — how much of the existing base survives churn and contraction, before any expansion.
Customer Churn Rate
The difference between logo churn and revenue churn — and why the headline number rarely tells the full story.
Refund Rate
The share of billed revenue you hand back — a direct measure of post-sale friction.
MRR Movements
The five forces behind every change in recurring revenue — and how they bridge starting MRR to ending MRR.
Customer Lifetime Value (cLTV)
The true value of a customer relationship and why most SaaS teams overstate it.
Reactivation MRR
The recurring revenue from customers who cancelled and came back — a good sign, but never the main growth engine.
Contraction Velocity
How quickly new customers shrink or leave — the early-warning mirror of expansion velocity.
Churn MRR
The recurring revenue you lose when customers cancel outright — the single biggest threat to growth.
Net Revenue Retention (NRR)
The single number investors care most about — whether your existing customers grow on their own, even before a single new logo.
New MRR
The recurring revenue from first-time customers — the cleanest read on whether acquisition is working.
Expansion Velocity
How quickly new customers expand — fast up-tiering is product-market fit you can see in weeks.
Contraction MRR
The revenue you lose when customers downgrade instead of leaving — and why it is an early warning for churn.
Growth Volatility
How much your growth rate bounces around — predictability, which markets reward on its own.
Expansion MRR
Measure upsells, cross-sells and add-ons in a way that ties directly to net dollar retention.
Growth Acceleration
The change in the growth rate itself — where a stalling business shows its hand first.
Months to Double
At the current rate, how long until MRR doubles — momentum as a timeline anyone can grasp.
Conversion Rate
Why signup-to-paid conversion is meaningless without cohort context — and the definition we recommend.
Smoothed MRR Growth Rate (L3M)
Growth with the noise removed — a three-month average that shows the trend, not the wobble.
Annualized Growth Rate
Your latest monthly growth compounded across a year — the pace investors actually benchmark.
Zombie Revenue
The most fragile MRR you have — real today, attached to customers who have stopped using the product.
Contraction Before Cancellation
The death spiral in numbers — accounts that trim their plan, then cancel entirely soon after.
Logo vs Dollar Churn Gap
In one number, whether the customers you lose are bigger or smaller than your average.
Churn Acceleration
The second derivative of churn — whether your churn rate is quietly speeding up before the level alarms anyone.
Paying Dormant Accounts
Billed today, gone tomorrow — customers who still pay but have quietly stopped using the product.
Single-Active-User Account Count
How many of your accounts are a single point of failure — the backlog for multi-user conversion.
Single-Active-User MRR Share
The slice of revenue riding on one person — MRR that is a single departure away from churning.
Average Active Users Per Account
The stickiness metric hiding in plain sight — why multiplayer accounts retain and expand far better.