Last Updated: 2026-03-24
Most ecommerce content covers metrics at the product page or BFCM campaign level. Popular numbers like CAC and conversion rate get plenty of attention—but they don't cover the full picture.
The truth is, landing page analytics span a much wider set of data points, and understanding how they connect is what separates brands that guess from brands that grow.
Here's a breakdown of every key metric that brands should track for their store pages—plus the common mistakes to avoid and how to actually move the numbers.
Takeaways
Landing page analytics cover far more than conversion rate—metrics like bounce rate, page speed, and revenue per session reveal where your funnel leaks and where to double down.
These metrics are deeply interconnected: improving average order value lifts customer lifetime value, which strengthens your LTV to CAC ratio without spending another dollar on ads.
The fastest path to stronger landing page analytics is building on a platform optimized for speed, conversions, and search presence from the start.
{{get-started="/components"}}
Landing Page Analytics: What Every Brand Should Know
Here are the 10 landing page analytics that every brand should understand, track, and optimize. Each one tells a different part of the story—and together, they paint a complete picture of your store's health.
1. Conversion Rate (CVR)
How it's calculated: Conversions ÷ unique visitors × 100.
Conversion rate tells you what percentage of visitors complete a desired action—usually a purchase. As of the end of 2025, global average sits between 2–5%, though it varies widely by industry and price point.
To improve CVR, focus on headline clarity, CTA placement, social proof, and [page load speed](https://www.replo.app/blog/page-speed-optimization).
Keep in mind that CVR and AOV often move inversely: raising your free-shipping threshold might boost order size, but reduce the number of conversions.
2. Average Order Value (AOV)
How it's calculated: Total revenue ÷ total orders.
AOV measures the typical spend per transaction. Lifting AOV means extracting more revenue from the same traffic, which protects margins when acquisition costs climb.
Tactics that move AOV include product bundling, tiered discounts, upsells, and cross-sells. Higher AOV directly feeds into a stronger customer lifetime value, so every dollar added to the cart compounds over time.
3. Customer Lifetime Value (LTV)
How it's calculated: Average order value × purchase frequency × average customer lifespan.
LTV captures the total revenue a customer generates over their entire relationship with the brand. Higher AOV and more frequent repeat purchases both push this number up.
To lift LTV on your landing pages, consider subscription offers, loyalty rewards, and personalized recommendations. LTV is one half of the critical LTV to CAC ratio; the higher LTV climbs relative to acquisition cost, the more profitably a brand scales.
4. Customer Acquisition Cost (CAC)
How it's calculated: Total marketing and sales expenses ÷ new customers acquired.
CAC represents the cost to bring in each new customer. When combined with LTV, it forms the LTV to CAC ratio—an ideal ratio of 3:1 or higher indicates an efficiently scaling business.
Landing page levers that reduce CAC include faster page speeds (which improve ad quality scores), stronger message match between ads and landing pages, and higher conversion rates that squeeze more customers from the same ad spend.
5. Bounce Rate
How it's calculated: Single-page sessions ÷ total sessions × 100.
Bounce rate measures the percentage of visitors who leave without interacting. A SEMRush study found that bounce rates can nearly triple when page load time exceeds three seconds.
High bounce often signals a mismatch between ad creative and landing page content, slow load times, or confusing above-the-fold layouts. Fixing bounce rate has a cascading positive effect: fewer bounces mean more visitors flowing into your conversion funnel, which lifts CVR and lowers effective CAC.
6. Page Load Speed
How it's calculated: Measured via Core Web Vitals—LCP (Largest Contentful Paint), INP (Interaction to Next Paint), and CLS (Cumulative Layout Shift).
According to Google's Web Vitals guidelines, LCP should land at or below 2.5 seconds, INP around 200 milliseconds, and CLS under 0.1. Slow pages directly suppress every other metric on this list—higher bounce, lower CVR, and wasted ad spend.
Learn more about how to improve your page loading speeds in our full guide on page speed.
Compress images to WebP or AVIF, defer non-critical scripts, and lazy load below-the-fold media. Speed is one of the highest-leverage improvements a brand can make.
7. Revenue Per Session (RPS)
How it's calculated: Total revenue ÷ total sessions.
RPS combines conversion rate and AOV into a single efficiency metric. It tells you how much revenue each visit generates on average—regardless of whether that visit converts.
This metric is especially useful for comparing landing page variants in A/B tests. A variant might have a lower CVR but higher AOV, resulting in better RPS overall.
8. Cart Abandonment Rate
How it's calculated: (Carts created − completed purchases) ÷ carts created × 100.
Cart abandonment reveals how many shoppers add items but never check out. The Baymard Institute reports an average cart abandonment rate of roughly 70% across ecommerce.
Surprise shipping costs, forced account creation, and slow checkout flows that require many form fields (which mean greater user friction) are the most common causes. Simplifying checkout, offering guest checkout, and displaying shipping costs early all help reduce this number—which directly improves CVR and RPS.
9. Click-Through Rate (CTR) On Page
How it's calculated: Clicks on a specific CTA or element ÷ total page views × 100.
On-page CTR measures how effectively individual elements—hero CTAs, product cards, promotional banners—drive engagement. Low CTR on a primary CTA suggests the offer, copy, or button design needs attention.
CTR feeds directly into downstream metrics. More clicks on "Add to Cart" lead to more carts, which increases your opportunity for conversion.
10. Time On Page
How it's calculated: Average duration visitors spend on a single page before navigating away.
Longer time on page generally signals engagement—visitors are reading, scrolling, and evaluating your offer. Very short sessions paired with high bounce indicate the page isn't resonating.
However, extremely long sessions on a checkout page could signal reader confusion. For this particular metric, context matters. Use time on page alongside bounce rate and CTR for a fuller picture on viewer sentiment and interest in your pages.
{{get-started="/components"}}
Landing Page Analytics: What Most Brands Get Wrong
Even brands that track these metrics can misread them. Here are five of the most common mistakes.
1. Optimizing conversion rate in isolation. Chasing CVR without watching AOV can backfire. Aggressive discounting might spike conversions but crush margin and train customers to wait for deals. A good rule of thumb is to always pair CVR improvements with revenue per session analysis.
2. Ignoring mobile versus desktop segmentation. Aggregate analytics hide device-specific friction. Desktop typically converts higher than mobile, but mobile drives the majority of traffic. According to Dynamic Yield, desktop conversion rates tend to outperform mobile by about 0.5-1 percentage points. Brands that don't segment by device miss their biggest optimization opportunities.
3. Treating bounce rate as a vanity metric. Many teams glance at page bounce rate without diagnosing the cause. A high bounce paired with fast page speeds usually means a messaging mismatch. A high bounce with slow speeds means the page never got a fair shot, because the viewer never saw most of the content. The fix is completely different in each case.
4. Measuring page speed once and forgetting about it. Page speed is not a set-and-forget number. New apps, tracking scripts, and seasonal content changes can silently degrade performance. Schedule monthly audits through PageSpeed Insights and log any changes alongside performance shifts.
5. Overlooking how metrics influence each other. Landing page analytics don't exist in vacuums. Faster pages reduce bounce, which lifts CVR, which lowers CAC, which improves LTV to CAC. Brands that optimize one metric at the expense of another end up running in circles. Build a dashboard that tracks all ten metrics together so you can see the ripple effects of every change.
Grow Your Landing Page Analytics With Replo
Building landing pages and store pages on Replo is the most straightforward way to get a higher baseline across all the landing page analytics covered above. Here's why.
Optimized for conversions. Replo is built ecommerce-first, with direct checkout and order management integrations. Pages are designed to move shoppers through the funnel—not just look good.
Describe what you want to build in plain language, and Replo generates high-converting pages that integrate seamlessly with your existing store.
Optimized for page speed. Replo pre-generates pages on an edge network using server-side rendering, which means lower time-to-first-byte, less JavaScript shipped to the browser, and consistently faster load times.
In head-to-head PageSpeed Insights comparisons, Replo-built pages scored roughly 20 points higher than their non-Replo counterparts.
Optimized for search presence. Faster pages and cleaner code improve search rankings, which helps reduce CAC through organic traffic. Replo also supports analytics and pixel integrations so brands can track every metric from one place.
The bottom line: stronger landing page analytics start with a stronger foundation. Get started with Replo to build pages that perform from day one.
Frequently Asked Questions About Landing Page Analytics
What is the most important landing page analytic to track?
There's no single metric that works in isolation. Revenue per session is a strong starting point because it combines conversion rate and average order value into one number—giving you a snapshot of how efficiently each visit generates revenue.
How often should brands review their landing page analytics?
Review weekly during active campaigns and monthly for broader trends. Seasonal moments like BFCM deserve daily checks. Consistent review cadence catches regressions early and keeps optimization efforts on track.
How do landing page analytics differ from overall website analytics?
Landing page analytics focus on single-purpose pages with one primary goal, so metrics like conversion rate and bounce rate carry more weight. Website analytics cover broader navigation patterns, multi-page journeys, and site-wide engagement signals.
Can improving page speed alone lift conversion rates?
Page speed is one of the highest-leverage fixes available. A SEMRush study found bounce rates nearly triple beyond three seconds of load time. Faster pages give every other optimization—better headlines, stronger CTAs, sharper offers—a fair chance to work.
