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Understanding Analytics Metrics

Deep dive into all the metrics Zenovay tracks, what they mean, and how to interpret them for your business.

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Last updated: January 15, 2025

Understanding what each metric means is essential for making data-driven decisions. This guide explains every metric Zenovay tracks and how to interpret them.

Core Metrics

Visitors (Unique Visitors)

What it means: The number of individual people who visited your website in the selected time period.

How it's calculated: Each visitor is identified by a unique identifier. Returning visitors within the same period are only counted once.

Use cases:

  • Measure audience size
  • Track growth over time
  • Compare marketing campaign reach

Unique vs Total

A visitor who returns 5 times is still counted as 1 unique visitor, but generates 5 visits/sessions.

Page Views

What it means: The total number of pages viewed across all visitors.

How it's calculated: Every page load is counted as a page view. If a visitor views the same page twice, it counts as 2 page views.

Use cases:

  • Measure content consumption
  • Identify popular content
  • Track engagement depth

Sessions

What it means: A group of interactions by a visitor within a time window.

How it's calculated: A new session starts when:

  • Visitor arrives for the first time
  • 30+ minutes of inactivity
  • Traffic source changes
  • Day changes (midnight)

Use cases:

  • Understand visit patterns
  • Measure return visits
  • Analyze session depth

Pages per Session

What it means: Average number of pages viewed during a single session.

Formula: Total Page Views ÷ Total Sessions

Benchmarks:

Site TypeGoodAveragePoor
Blog1.5+1.2-1.5<1.2
E-commerce4+3-4<3
SaaS5+3-5<3

Session Duration

What it means: Average time visitors spend on your site per session.

How it's calculated: Time from first to last tracked event in a session.

Important notes:

  • Single-page sessions may show 0:00 duration
  • Only tracked events count
  • Very long sessions may indicate idle tabs

Benchmarks:

Site TypeGoodAveragePoor
Blog2-3 min1-2 min<1 min
E-commerce5+ min3-5 min<3 min
SaaS10+ min5-10 min<5 min

Bounce Rate

What it means: Percentage of sessions where visitors left after viewing only one page.

Formula: Single-Page Sessions ÷ Total Sessions × 100

Interpretation:

  • High bounce rate isn't always bad
  • Blog posts often have high bounce rates (user got their answer)
  • E-commerce checkout pages should have low bounce rates

Benchmarks by industry:

IndustryExpected Range
Retail/E-commerce20-45%
Lead Generation30-55%
Content Sites40-60%
Landing Pages60-90%
Blogs65-90%

Traffic Source Metrics

Source Types

SourceDescriptionExample
DirectNo referrer detectedTyping URL, bookmarks
OrganicSearch engine resultsGoogle, Bing
ReferralLinks from other sitesblog.example.com
SocialSocial media platformsTwitter, LinkedIn
PaidAdvertising campaignsGoogle Ads, Facebook Ads
EmailEmail campaign linksNewsletter clicks

Source Quality Indicators

For each source, evaluate:

  • Volume: Total visitors from source
  • Engagement: Pages/session, duration
  • Conversion: Goal completion rate
  • Value: Revenue or lead quality

Engagement Metrics

Visitor Value Score

What it means: A 1-100 score predicting visitor quality and likelihood to convert.

Factors considered:

  • Time on site
  • Pages viewed
  • Return visits
  • Traffic source quality
  • Engagement signals

Score ranges:

RangeQualityAction
80-100ExcellentHigh priority leads
60-79GoodNurture opportunities
40-59AverageStandard engagement
20-39LowMay need better targeting
1-19Very LowReview traffic sources

Engaged Sessions

Pro Plan

Definition: Sessions where the visitor:

  • Stayed 10+ seconds
  • Viewed 2+ pages
  • Completed any event
  • Scrolled significantly

Scroll Depth

Pro Plan

What it means: How far visitors scroll down your pages.

Measurements:

  • 25% scroll
  • 50% scroll
  • 75% scroll
  • 100% scroll (reached bottom)

Use cases:

  • Identify where readers stop
  • Optimize content placement
  • Improve page layout

Geographic Metrics

Country Data

For each country:

  • Visitor count
  • Session count
  • Engagement metrics
  • Percentage of total

City-Level Data

Pro Plan

More granular geographic breakdown:

  • City name
  • Visitor count
  • Useful for local businesses

Technology Metrics

Device Categories

CategoryDefinition
DesktopComputers and laptops
MobileSmartphones
TabletiPads, Android tablets

Browser Breakdown

  • Chrome, Safari, Firefox, Edge, etc.
  • Browser version (aggregated)
  • Mobile vs desktop versions

Operating System

  • Windows, macOS, iOS, Android, Linux
  • OS version (aggregated)

Screen Resolution

Common resolutions tracked:

  • Desktop: 1920x1080, 1366x768, etc.
  • Mobile: Various dimensions

Time-Based Metrics

Visits by Hour

When visitors arrive (in your timezone):

  • Peak hours
  • Quiet periods
  • Weekday vs weekend patterns

Visits by Day of Week

Traffic patterns by day:

  • Identify high-traffic days
  • Plan content publishing
  • Schedule maintenance

Compare metrics over:

  • Days
  • Weeks
  • Months
  • Custom periods

Page-Level Metrics

Entry Pages

First page visitors land on:

  • Identifies landing pages
  • Shows which content attracts visitors
  • Useful for SEO analysis

Exit Pages

Last page visitors view:

  • May indicate friction points
  • Normal for conversion thank-you pages
  • Review high-traffic exit pages

Page Performance

For each page:

  • Views
  • Unique pageviews
  • Avg. time on page
  • Bounce rate
  • Exit rate

Conversion Metrics

Pro Plan

Goal Completions

Count of goal achievements:

  • Form submissions
  • Purchases
  • Sign-ups
  • Custom events

Conversion Rate

Formula: Goal Completions ÷ Sessions × 100

Benchmarks:

Goal TypeGoodAverage
E-commerce purchase3%+1-3%
Lead form5%+2-5%
Newsletter signup2%+1-2%

Funnel Metrics

Scale Plan
  • Step completion rates
  • Drop-off percentages
  • Funnel conversion rate

Interpreting Your Data

Context Matters

Always consider:

  • Your industry benchmarks
  • Seasonal patterns
  • Marketing activities
  • Technical changes

Focus on:

  • Week-over-week changes
  • Month-over-month growth
  • Year-over-year comparison (if data available)

Segment Your Data

Break down by:

  • Traffic source
  • Device type
  • Geography
  • New vs returning visitors

Common Misinterpretations

"High Bounce Rate = Bad"

Not necessarily. A user who finds their answer quickly and leaves had a successful visit.

"More Page Views = Better"

Not if users can't find what they need. Sometimes fewer pages is better UX.

"Direct Traffic is Mysterious"

Often it's actually:

  • Mobile apps
  • Secure/incognito browsers
  • Email clients stripping referrers
  • Typed URLs and bookmarks

Next Steps

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