“We got 10,000 website visitors this month!” sounds impressive. But if none of them bought anything, who cares?
The website analytics to track are the ones tied to revenue, not the ones that make a report look impressive.
Traffic is a vanity metric. What matters is what visitors do and whether they convert.
At DAMP Marketing, we analyze website data for every client we work with. Here’s what to track beyond traffic numbers—and how to use analytics to actually grow your business.
Why Traffic Numbers Don’t Matter
Scenario A:
- 10,000 visitors
- 1% conversion rate
- 100 customers
- $10,000 revenue
Scenario B:
- 2,000 visitors
- 5% conversion rate
- 100 customers
- $10,000 revenue
Same revenue. Scenario B is far better (80% less traffic needed).
The Analytics That Actually Matter
1. Conversion Rate
(Conversions ÷ Visitors) × 100
This is the money metric.
Targets:
- E-commerce: 2-4%
- Lead gen: 5-15%
- SaaS: 3-5%
- B2B: 2-5%
Track by:
- Traffic source
- Landing page
- Device type
- New vs. returning
2. Traffic Source Quality
Not all traffic is equal.
Example analysis:
| Source | Visitors | Conv Rate | Revenue |
|---|---|---|---|
| Organic | 5,000 | 3% | $15,000 |
| Paid | 3,000 | 2% | $6,000 |
| Social | 2,000 | 0.5% | $1,000 |
Action: 2x organic efforts, reduce social
3. Bounce Rate
% of visitors who leave after one page.
Targets:
- Homepage: 40-60%
- Blog posts: 70-90% (expected)
- Product pages: 20-40%
- Landing pages: 20-40%
High bounce rate signals:
- Poor relevance
- Slow loading
- Bad UX
- Wrong audience
4. Pages Per Session
Average pages viewed per visit.
Targets:
- E-commerce: 3-5 pages
- Blog/content: 2-3 pages
- Service business: 2-4 pages
More pages = More engagement = Higher conversion likelihood
5. Average Session Duration
How long visitors stay.
Targets:
- E-commerce: 2-4 minutes
- Content sites: 3-5 minutes
- B2B: 3-5 minutes
Caveat: Time on page is flawed (last page visit not tracked).
6. Goal Completion Rate
% of visitors completing desired actions.
Goals to track:
- Form submissions
- Phone calls
- Email signups
- Downloads
- Video views
- Account creation
Set up in GA4: Admin → Events, then mark the events that matter as key events.
Behavior Flow Analysis
See the path visitors take through your site.
Location: GA4 → Explore → Path exploration
Insights to find:
- Where visitors drop off
- Popular page sequences
- Dead-end pages
- Conversion paths
Example finding:
“50% of visitors go Homepage → About → Contact → Leave (without converting)”
Action: Add conversion opportunity on About page.
Landing Page Analysis
Which pages drive best results?
GA4: Reports → Engagement → Landing pages
Metrics:
- Entrances (traffic)
- Bounce rate
- Conversion rate
- Revenue
Optimize high-traffic, low-converting pages for biggest impact.
Exit Page Analysis
Where do visitors leave your site?
High exit pages need fixing:
- Add CTAs
- Improve content
- Reduce friction
- Link to other pages
Exception: Thank you/confirmation pages (exits are expected).
Device & Browser Analytics
Performance varies dramatically by device.
Compare:
- Desktop vs. Mobile vs. Tablet
- Chrome vs. Safari vs. Firefox
Example insight:
- Mobile: 70% traffic, 20% conversions
- Desktop: 30% traffic, 80% conversions
Action: Improve mobile experience.
Geographic Analytics
Location: GA4 → User → Demographics
Track:
- Country, state, city
- Conversion rate by location
- Revenue by location
Use for:
- Local businesses: Focus marketing on high-converting areas
- National: Find expansion opportunities
- International: Discover unexpected markets
Time-Based Analytics
When do visitors come and convert?
Day of week:
- B2C peaks: Weekends
- B2B peaks: Tuesday-Thursday
Time of day:
- E-commerce peaks: Evening (8-11pm)
- B2B peaks: Business hours (9am-5pm)
Use for: Ad scheduling, email send times, content publishing
New vs. Returning Visitors
Different behaviors, different strategies.
New visitors:
- Lower conversion rate
- Need education
- Focus: Awareness and trust
Returning visitors:
- Higher conversion rate (3-5x)
- Already interested
- Focus: Conversion and retargeting
Track separately in reports.
On-Site Search Analytics
What are visitors searching for?
Location: GA4 → Events → search
Insights:
- Popular products/topics
- Content gaps
- Confusing navigation
Example:
“200 searches for ‘pricing’ but no pricing page”
Action: Create pricing page.
Form Analytics
Where do visitors drop off in forms?
Tools:
- Hotjar
- Microsoft Clarity (free)
- Google Tag Manager (advanced)
Track:
- Form starts
- Field completion
- Abandonment points
- Submission rate
Every field you remove increases conversions 5-10%.
Page Speed Analytics
GA4: Reports → Engagement → Pages and screens → Page load metrics
Also use:
- Google PageSpeed Insights
- GTmetrix
- WebPageTest
Target: Under 3 seconds load time
Every 1 second delay = 7% conversion drop.
Click Tracking & Heatmaps
See what visitors actually click.
Tools:
- Hotjar
- Crazy Egg
- Microsoft Clarity (free)
Reveals:
- Non-clickable elements people try to click
- Ignored CTAs
- Confusing navigation
- Optimal CTA placement
Session Recording Analytics
Watch real user sessions.
Tools:
- Hotjar
- FullStory
- Microsoft Clarity
Find:
- Usability issues
- Confusing elements
- Error messages
- Rage clicks (clicking repeatedly in frustration)
Watch 10 sessions weekly for insights.
E-commerce Specific Analytics
Product Performance:
- Views per product
- Add-to-cart rate
- Purchase rate
- Revenue per product
Shopping Behavior:
- Cart abandonment rate (target: under 70%)
- Checkout abandonment
- Average order value
- Products per order
Purchase Funnel:
- Product page → Cart → Checkout → Purchase
- Identify drop-off points
Content Performance Analytics
Blog/Content metrics:
- Pageviews
- Time on page
- Scroll depth (% who read full article)
- Social shares
- Conversions from content
Top content drives disproportionate results (80/20 rule).
Update and promote top performers.
Advanced Segments
Create custom segments for deeper analysis:
High-value visitors:
- Spent 3+ minutes AND visited 3+ pages
Qualified leads:
- Visited pricing page OR downloaded resource
Cart abandoners:
- Added to cart but didn’t purchase
Location-specific:
- Visitors from [target city]
Compare segments to overall performance.
The Analytics Dashboard
Weekly dashboard (5 minutes to review):
- Total conversions
- Conversion rate by source
- Top landing pages
- Any major changes (+/- 20%)
Monthly dashboard (30 minutes):
- Traffic trends
- Source performance
- Content performance
- Device/location breakdown
- Goal completion
- Revenue (if e-commerce)
Quarterly deep dive (2 hours):
- Full funnel analysis
- Segment analysis
- Year-over-year comparison
- Strategic recommendations
Common Analytics Mistakes
1. Only tracking traffic
Traffic without conversions is useless.
2. Not setting up goals
Can’t optimize without defining success.
3. Ignoring segments
Aggregate data hides insights.
4. Not connecting to revenue
Marketing must tie to business results.
5. Analysis paralysis
Too many metrics, no action.
Pick 5-7 core metrics. Track ruthlessly. Take action.
Analytics-Driven Decisions
Use data to:
Prioritize content:
Write more of what drives conversions.
Optimize budget:
Spend more on high-converting sources.
Fix UX issues:
Improve high-traffic, low-converting pages.
Refine targeting:
Focus on demographics that convert.
Test hypotheses:
Let data guide A/B tests.
DAMP Marketing’s Analytics Framework
Foundation:
- GA4 installed correctly
- Conversions tracked
- UTM parameters on all campaigns
- E-commerce tracking (if applicable)
Weekly:
- Review conversion rate
- Check traffic sources
- Identify any major anomalies
Monthly:
- Deep dive on top pages
- Source performance analysis
- Device and location insights
Quarterly:
- Strategic review
- Competitor comparison
- Budget reallocation
Final Thoughts
Analytics exist to drive decisions, not to create pretty reports.
Track what matters: Conversions, revenue, customer quality.
Review weekly. Take action monthly. Iterate quarterly.
A business making decisions based on flawed metrics beats one drowning in perfect data but taking no action.
Pick your top 5 metrics. Track them religiously. Ignore the rest.