Web Analytics — What Data to Track and How to Use It
Web analytics is not about collecting data — it's about making decisions based on it. Most companies collect terabytes of data and do nothing with them. The key is knowing which data to track, how to interpret it, and what actions to take.
You Have Data. You Don't Have Information.
Google Analytics is installed on 85% of business websites. But 90% of those companies open it once a quarter, look at the number of visits, and close it. That's like having an atomic clock and using it only to check whether it's day or night. We see this at the start of almost every audit we run: a GA4 account exists, has been collecting data for months or years — and nobody has ever looked past the first screen after logging in.
Data without context is useless. "10,000 visits per month" — is that good or bad? It depends. How many conversions? Where does the traffic come from? Is it growing or declining? How much does one visitor cost you? How much is one customer worth?
Web analytics is not reporting. It's a decision-making system that tells you: what to spend the next $1,000 on, what to fix on your site, which content to create, and which channels to drop.
Google Analytics 4 — The Foundation of Analytics
Google Analytics 4 (GA4) is the current version of Google's analytics system. If you still have Universal Analytics — it stopped working in July 2024. GA4 works differently: instead of pageviews and sessions, it's based on events.
The Configuration You Must Have
Before you start analyzing data, make sure you're collecting the right data:
1. Conversion tracking (most important). GA4 without configured conversions is like an odometer without a destination. Set up:
- Contact form submission → conversion
- Phone number click → conversion
- Email address click → conversion
- Price list/proposal download → conversion
- Newsletter signup → conversion
2. Enhanced Measurement. GA4 automatically tracks: scrolls, outbound link clicks, site search, video engagement. Enable this in your data stream settings.
3. Google Tag Manager. Instead of pasting scripts directly into your code, manage them through GTM. Easier management, fewer errors, faster deployment of changes.
4. Connection with Google Search Console. GA4 + GSC = the full picture. GA4 tells you what users do on your site. GSC tells you how they found you.
10 Metrics That Actually Matter
Not all metrics are equal, and in the analytics audits we run for clients, we see the same trap again and again: dashboards full of charts, none of which answer the question "so what do we do about it now." Here are 10 you should track — and what to do with them.
Business Metrics (Most Important)
1. Conversion Rate
What it is: The percentage of visitors who completed a desired action (form, phone call, purchase).
| Page Type | Average Conversion | Good Conversion |
|---|---|---|
| Landing page | 2-5% | 8-15% |
| Service page | 1-3% | 5-8% |
| Blog → lead | 0.5-1% | 2-5% |
| E-commerce | 1-3% | 4-8% |
What to do with this metric: If conversion is below average — the problem is on the site (UX, CTA, form, content). Read the article on UX and conversions. If it's above average — scale traffic (more SEO, more campaigns).
2. Cost Per Lead (CPL)
What it is: How much it costs you to acquire one contact.
Formula: Total marketing spend / Number of leads
What to do: Compare CPL with customer lifetime value (LTV). That comparison sounds obvious until you actually try to make it — surprisingly few companies have their customer LTV written down anywhere, so CPL just floats in a vacuum. If a customer is worth $5,000, and CPL is $120 — scale. If CPL is $1,200 — optimize.
3. Organic Traffic Value
What it is: How much you'd have to spend on Google Ads to get the same traffic. Calculate by multiplying organic clicks by the average CPC in your industry.
What to do: This is the SEO ROI metric. If your organic traffic is worth $3,500/month in Ads equivalent, and you invest $1,200/month in SEO — your ROI is 200%.
Traffic Metrics
4. Organic Traffic (Trend)
Don't look at the absolute number. Look at the trend. Traffic growing 10-15% monthly? The system is working. Dropped by 30%? Something broke — Google update, technical issues, lost backlinks.
5. Traffic Sources
Where visitors come from:
| Source | What It Means | Benchmark (B2B) |
|---|---|---|
| Organic Search | SEO is working | 40-60% |
| Direct | Brand recognition | 15-25% |
| Referral | Backlinks, PR, partners | 5-15% |
| Social | Social media marketing | 5-10% |
| Paid Search | Google Ads | 10-30% |
| Newsletter | 5-10% |
What to do: If 80%+ of traffic comes from one source — you have a diversification problem. If Google changes its algorithm or you turn off Ads — you lose most of your traffic. This is one of the first charts we look at in an audit — it shows how fragile the whole business is before we've looked at anything else.
Engagement Metrics
6. Engaged Sessions Rate
GA4 measures "engaged sessions" — sessions longer than 10 seconds, with a conversion, or with 2+ pageviews. This is a better metric than the old bounce rate.
Goal: Above 60%. Below 40% = the site doesn't engage, the content doesn't match user needs.
7. Average Engagement Time
How much time users actually spend on the site (actively, not in the background).
Goal: 1-3 min on service pages, 3-5 min on blog articles. Below 30 seconds = content doesn't hit the mark.
8. Pages Per Session
How many pages the average user visits.
Goal: 2-4 pages. If the user visits only 1 page — you're missing internal links, related content, or CTAs encouraging further exploration.
SEO Metrics (Google Search Console)
9. Keywords in Top 10
How many keywords rank in the top 10 Google results. This is a better indicator than "ranking for one keyword" — and in our entity-first view of SEO, it's also the first signal that Google is starting to treat your domain as a source on the topic, not just another result to re-sort.
Goal: 10-20% growth month over month. Monitor which keywords enter the top 10 and which drop out.
10. Organic CTR
What percentage of people who see your page in Google results click on it.
| Position | Average CTR | Good CTR |
|---|---|---|
| #1 | 27% | 35%+ |
| #2 | 15% | 20%+ |
| #3 | 11% | 15%+ |
| #4-10 | 2-8% | 8%+ |
Low CTR with a good position = a problem with meta tags. Rewrite the title tag and meta description — it's a quick way to get more traffic without changing your position.
How to Read Data — From Numbers to Decisions
Metrics alone mean nothing without context — that's honestly half our job in every audit: not collecting new data, just making sense of what's already there. Here's the interpretation framework we use:
1. Always Compare with Something
- With the previous month (trend)
- With the same month last year (seasonality)
- With industry benchmarks
- With the goal
"5,000 visits" means nothing. "5,000 visits, up 30% month over month, goal is 6,000" — that's information.
2. Segment Your Data
Global averages hide the truth. Segment by:
- Traffic source — organic traffic has a different bounce rate than ad traffic
- Device — mobile vs desktop (optimize each separately)
- Landing page — blog vs homepage vs landing page
- Location — different regions may behave differently
3. Look for Anomalies
Sudden traffic drop? Sudden bounce rate spike? Conversion drop despite traffic growth? These are signals that something changed. Look for causes:
- Google algorithm update (check core update dates)
- Technical issue (slower site, broken form)
- Seasonality (holidays, end of year)
- Site change (new design, new content)
4. Combine Data from Multiple Sources
GA4 + Search Console + CRM = full picture.
GA4 says: "200 people filled out the form." CRM says: "Of those 200 leads, 15 became customers, value: $75,000." Search Console says: "Those customers found us on keyword X."
Now you know: keyword X generates customers worth $75,000. It's worth investing in more content on that topic. That's the kind of conclusion you'll never see in any single tool on its own — you have to physically put them side by side, and surprisingly few companies ever do.
Analytics Dashboard — What to Check and How Often
Daily (2 min)
- Is the site up (uptime monitoring)
- Traffic vs yesterday (anomalies)
Weekly (15 min)
- Organic traffic (trend)
- Conversions (forms, calls)
- Top landing pages (what generates traffic)
- New keywords in Search Console
Monthly (1h)
- Full report: traffic, conversions, CPL, organic traffic value
- Comparison with previous month and with goal
- Content analysis: what ranks, what doesn't, what needs updating
- Decisions: what to do next month
Quarterly (half day)
- Strategy review: are we heading in the right direction
- ROI analysis by channel
- Next quarter planning
- Competitor review
Analytics Tools — The Stack You Need
| Tool | What It Does | Cost |
|---|---|---|
| Google Analytics 4 | Site analytics | Free |
| Google Search Console | SEO analytics | Free |
| Google Tag Manager | Tag management | Free |
| Microsoft Clarity | Heatmaps, session recordings | Free |
| Google Looker Studio | Dashboards, reports | Free |
| Ahrefs / SEMrush | SEO analytics (backlinks, keywords, competitors) | From $99/mo |
| Hotjar | Heatmaps, surveys, feedback | Free (basic) |
Minimum for every business: GA4 + GSC + GTM + Clarity. All free. All provide data on which you'll base 90% of your decisions.
Common Analytics Mistakes
We see these with a regularity that borders on ritual — in practically every GA4 account we open for the first time during an audit.
1. Measuring Traffic Instead of Conversions
"We have 50,000 visits!" — and zero customers. Traffic without conversions is a vanity metric, and honestly, one of the few things we won't compromise on in a conversation with a client. The only metric that truly matters for a business is conversion — how many visits turn into customers (and how much they're worth). You can have the second-best traffic in your industry and make zero money from it; we've seen it more times than we'd like.
2. No Conversion Tracking
A surprising number of companies don't have form and phone call tracking configured. How do you know marketing is working if you're not measuring results?
3. Analysis Without Segmentation
"Bounce rate 65%" — on which pages? From which source? On which device? Blogs naturally have a higher bounce rate than service pages. Social media traffic has a higher bounce rate than organic. Global averages lie.
4. Making Decisions on Small Samples
"We changed the CTA and conversion increased by 50%!" — on a sample of 20 visits. That's statistical noise, not a trend. The minimum for reliable conclusions is 100+ conversions per variant (in A/B tests).
5. Ignoring Attribution
A customer reads the blog → returns from a newsletter → clicks an ad → contacts you. Which channel "acquired" the customer? In the last-click model — the ad. In reality — all three. GA4 has a data-driven attribution model that tries to give credit to each touchpoint.
Analytics and GDPR — What You Need to Know
Collecting analytics data is subject to GDPR, and it's the section clients would most love to skip — one we still check on every audit, because a mistake here costs more than a missed conversion ever would. Key requirements:
1. Cookie consent banner. You must obtain user consent before loading Google Analytics. You don't just "inform" — you ask for consent. No consent = no tracking.
2. IP anonymization. GA4 anonymizes IP addresses by default (unlike the old Universal Analytics).
3. Privacy policy. You must describe what data you collect, for what purpose, and how long you store it.
4. Data retention. GA4 retains data for 2 months by default. You can change it to 14 months in settings.
5. Server-side tracking. For companies that want more control — GA4 with server-side tagging (via GTM server-side) gives you full control over the data that goes to Google.
Summary
Web analytics is not about collecting data. It's about making better decisions. Every metric should lead to the question "what do we do with this?" — and to a specific action. It's the question we ask ourselves on every report we send a client; if we can't answer it, the chart stays in the drawer.
Set up conversion tracking. Check key metrics weekly. Make decisions based on data, not gut feelings. And remember: the best analytics is the one that leads to action, not the one that produces the prettiest charts. We hold our own analytics to the same rule — and check it more often than some clients check theirs.
Need help setting up analytics or interpreting data? Request a free consultation — we'll configure conversion tracking and show you how to read data to make better marketing decisions.
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