Landing Page Monitoring: Key Metrics Every Marketer Should Track

A poorly performing landing page doesn't announce itself. Visitors arrive, scroll halfway down, and leave without converting, but you won't know why without tracking the right data. 82.2% of landing pages require optimization, yet most marketers monitor vanity metrics like raw traffic while missing the signals that actually predict revenue.

When you track how visitors interact with your page, where they drop off, and which traffic sources convert, you stop guessing and start making decisions backed by evidence.

This guide covers the key landing page metrics that reveal whether your landing page works, where visitors lose interest, and what technical factors kill conversions before visitors even see your offer.​​​​​​​​​​​​​​​​

Key Takeaways

• Conversion rate connects directly to revenue

Pages with higher conversion rates generate the same leads from less traffic, which means lower ad spend for identical results.

• Traffic source quality matters more than volume

Different channels bring different visitor intent, so comparing conversion rates across sources reveals which channels waste budget on low-quality traffic.

• Technical performance kills conversions before visitors see your offer

Slow load speeds and mobile layout issues cause visitors to abandon pages before they even read your content or see your call to action.

• Codesi eliminates monitoring headaches from the start

Pages load fast automatically and work correctly across devices without manual optimization, so your metrics start strong instead of revealing problems that need fixing.

What Are Landing Page Metrics, and Why Do They Matter?

Landing page metrics are data points that measure how visitors interact with your page, which elements drive action, and which create friction.

Without metrics, you can only work with assumptions. You might think your headline works or your form is simple, but visitor behavior often proves otherwise:

• A high bounce rate means visitors leave immediately.
• Low scroll depth means they never reach your call to action.
• Poor conversion rates mean something between arrival and action fails.

Metrics reveal these problems—and possible solutions. When 60% of mobile visitors abandon your page within three seconds, load speed needs fixing. When organic traffic converts at 8% but paid traffic converts at 2%, your ad messaging doesn't match the page content.

Core Conversion Metrics

These metrics measure whether your landing page turns visitors into customers. They reveal how many people convert, how much each conversion costs, and where potential conversions fall apart.

Conversion Rate

Conversion rate measures the percentage of visitors who complete your desired action. Calculate it by dividing total conversions by total visitors, then multiplying that number by 100. So, a landing page with 50 conversions from 2,000 visitors has a 2.5% conversion rate.

This metric matters because it is directly connected to revenue. A page with 1,000 visitors and a 5% conversion rate generates 50 leads. A page with 5,000 visitors and a 1% conversion rate also generates 50 leads but costs five times more in ad spend.

You can track conversion rate in Google Analytics 4 by setting up key events. Navigate to Reports > Engagement > Events, then mark your conversion action as a key event.

Cost Per Conversion

Cost per conversion reveals how much you spend to acquire each lead or sale. Divide your total ad spend by the number of conversions. If you spend $500 on ads and generate 25 conversions, your cost per conversion is $20.

This metric determines campaign profitability. Comparing cost per conversion across traffic sources shows which channels deliver the best return.

Warning signs include:

• Gradual cost increases (ad fatigue or competition)
• Sudden spikes (immediate problems)
• Costs exceeding customer lifetime value (losing money)

Form Abandonment Rate

Form abandonment rate tracks the percentage of visitors who start your form but leave before submitting. Calculate it by dividing the incomplete form starts by the total form starts, then multiplying that number by 100.

Common causes of form abandonment include:

• Too many form fields
• Invasive required fields
• Unclear error messages

Track this using Hotjar, Microsoft Clarity, or Google Tag Manager. Set up event tracking for form field clicks and form submissions to calculate the gap between starts and completions.​​​​​​​​​​​​​​​​

Traffic and Engagement Metrics

These metrics show where visitors come from, how they interact with your content, and whether they stay long enough to convert.

Traffic Sources

Traffic sources indicate where your visitors come from: organic search, paid ads, referrals, social media, or direct visits. Each source behaves differently and converts at different rates.

Tracking sources reveals which channels drive quality traffic. Organic visitors might convert at 8% while paid social converts at 2%. This gap indicates that your ad targeting needs refinement or that your organic content attracts higher-quality visitors.

Key insights from source data:

• Highest converting channels (prioritize budget here)
• Lowest converting channels (fix messaging or pause spending)
• Traffic volume vs. conversion quality (1,000 low-quality visits lose to 100 high-quality visits)

Access traffic source data in Google Analytics 4 under Reports > Acquisition > Traffic Acquisition. Filter by landing page to see which sources send visitors to specific pages.

Bounce Rate

Bounce rate measures the percentage of visitors who leave without interacting with your page. A visitor who lands on your page and exits within seconds without clicking, scrolling, or filling out forms counts as a bounce.

High bounce rates signal immediate problems, such as:

• Visitors expected something different based on your ad or search result.
• Your page loads too slowly.
• The content doesn't match their intent.

Each scenario requires a different fix.

You can track bounce rate in GA4 under Reports > Engagement > Pages and Screens. Compare rates across traffic sources to identify messaging mismatches.

Average Time on Page

Average time on page measures how much time visitors spend reading your content. Longer periods typically indicate higher engagement, though context matters; a simple signup page should convert quickly, while a detailed product comparison requires more reading time.

This metric reveals content effectiveness. For example, visitors spending 10 seconds on a 2,000-word page aren't reading it; they're scanning, getting confused, or losing interest.

Also, compare the time spent on the page across devices. Mobile visitors often spend less time due to smaller screens and environment-related distractions, while desktop visitors typically engage longer.

Scroll Depth

Scroll depth tracks how far down the page visitors scroll before leaving. It shows whether visitors see your call to action, testimonials, or key benefits positioned lower on the page.

A page where 70% of visitors never scroll past the first screen means most people miss your conversion elements. In this case, you should either move critical content higher or improve your opening to encourage scrolling.

Scroll depth reveals the following:

• Content drop-off points (where visitors lose interest)
• CTA visibility (whether visitors reach conversion elements)
• Mobile vs. desktop behavior (mobile users often scroll less)

Track scroll depth using Google Tag Manager or heatmap tools like Hotjar and Microsoft Clarity.

Technical Performance Metrics

These metrics measure how well your landing page functions. Technical issues kill conversions before visitors even see your offer.

Page Load Speed

Page load speed measures how long your landing page takes to become fully interactive. Every second of delay costs conversions. Pages that load in under two seconds convert significantly better than pages that take five seconds or more.

Google's research shows that 53% of mobile visitors abandon pages that take longer than three seconds to load. This means that any delay in page response can reduce conversions.

Core Web Vitals to monitor:

• Largest Contentful Paint (LCP): Measures loading performance, which should occur within 2.5 seconds
• First Input Delay (FID): Measures interactivity, which should be less than 100 milliseconds
• Cumulative Layout Shift (CLS): Measures visual stability, which should be less than 0.1

You can test your page speed using Google PageSpeed Insights. Enter your landing page URL and the tool will show scores for both mobile and desktop, plus specific recommendations for improvement.

Here are quick fixes that improve load speed:

• Compress images to reduce file sizes
• Enable browser caching
• Minimize CSS and JavaScript files
• Use a content delivery network (CDN)

Mobile vs. Desktop Performance

Mobile and desktop visitors behave differently and face different technical challenges. Mobile pages often load more slowly due to cellular connections. Smaller screens also make forms harder to complete, and touch interfaces require larger tap targets than mouse clicks.

Compare conversion rates between devices in Google Analytics 4 under Reports > Tech > Tech Details. A significant gap between mobile and desktop conversions indicates device-specific problems.

Common mobile performance issues are:

• Buttons are too small for touch accuracy
• Forms requiring excessive typing on small keyboards
• Images not optimized for mobile screen sizes
• Pop-ups covering entire mobile screens

Test your landing page on actual mobile devices, not just browser developer tools. Real devices reveal problems that desktop testing misses, such as tap target sizes that seem fine in simulation but frustrate users in reality.

Best Practices for Landing Page Monitoring

Tracking metrics is one thing, but using them effectively requires discipline and consistency. The following practices help you extract actionable insights:

• Set clear goals before you launch: Define what success looks like with specific targets. "Increase conversion rate from 2.3% to 4% within 60 days" beats vague goals like "improve conversions." Specific targets create accountability and show whether changes work.
• Monitor in real time during launch: Check metrics hourly during the first 24 hours. Technical issues and broken forms surface immediately with real traffic, and catching a broken form within two hours can save you many conversions.
• Compare performance across traffic sources: Organic search, paid ads, and social media each bring different visitor intent. A 3% overall conversion rate might hide that organic converts at 6% while paid social converts at 1%. Split your budget toward channels that actually convert.
• Track trends, not snapshots: A single day's metrics reveal little, and Monday traffic behaves differently from Friday traffic. Track performance over weeks and months to identify real patterns versus temporary fluctuations.
• Ignore vanity metrics: Page views feel good, but they don't predict revenue. A page with 10,000 views and 1% conversion rate generates 100 leads. A page with 2,000 views and 6% conversion rate generates 120 leads with 80% less traffic. Focus on conversion rate and cost per conversion.
• Test one variable at a time: Changing your headline, form length, and button color simultaneously makes it impossible to know what drove results. Test headline variations first, then button placement, then form fields. Sequential testing produces reliable insights.
• Filter out bot traffic: Automated bots inflate traffic numbers and distort metrics. Enable bot filtering in Google Analytics 4 under Admin > Data Settings > Data Filters to get accurate visitor data.

Building Landing Pages That Are Easy to Monitor with Codesi

Monitoring reveals problems, but the best solution is building landing pages that perform well from the start. Codesi generates landing pages that are already optimized for speed and conversions, so your metrics start strong instead of requiring weeks of fixes.

Here's what Codesi does for you:

• Pages load in under two seconds because the AI automatically handles image compression and code cleanup.
• You launch with strong Core Web Vitals scores without spending time troubleshooting performance issues or learning technical optimization.
• The platform generates custom logos and AI images that fit your brand, eliminating the need to source visuals separately.
• Mobile and desktop versions work correctly from the start, with forms that use proper field sizes for touch screens and buttons that meet minimum tap requirements.
• Content stays in place while visitors click, rather than shifting unexpectedly.

The time savings compound across both building and optimizing. You can skip the hours spent manually adjusting images, testing layouts across devices, and diagnosing why mobile visitors bounce at higher rates than desktop users.

Ready to build landing pages that convert from day one?

Try Codesi for free and generate your first optimized page in under three minutes.