16 Key Website Metrics to Track with Benchmarks

Staring at a bunch of numbers on a dashboard is not a strategy in and of itself. Most analytics platforms include 50+ or more default metrics to track, and most of them are not going to help you grow your website in any way. If you are going through a list of website KPIs and website statistics to track on your website, then you should be tracking signals that explain growth for your website.

This post includes the 16 must-track website metrics for growth in the order of the website funnel and includes the plain-English definition and industry benchmarks for each of the website statistics to track. In addition to the website traffic benchmarks for each of the website metrics to track, for each of the website metrics to track for your website, we will cover how to track each of the website statistics in GA4 and Lucky Orange. These 16 must-track website metrics are the right website metrics to track for your website in order to be interventions, as opposed to simply more metrics to track if you are currently treating pageviews as a success metric.

Here’s what you will find in this post for each of the 16 must-track website metrics to grow your website:

• The plain-English definition for each of the 16 must-track website metrics

• The industry benchmarks for each of the website statistics to track (including website traffic benchmarks by industry)

• A full treatment of the engagement metrics to track for your website – the category of website KPIs that most teams undertrack

• The B2B-specific benchmarks for each of the website metrics to track – because the typical success metrics for website statistics to track for B2B websites are not going to apply to your website’s online audience

• How to track each of the 16 must-track website metrics in GA4 and Lucky Orange.

Website Metrics Misexplained in 99% of Website Performance Articles

In web analytics, website metrics (or web metrics) are quantifiable signals (measures) to determine the following issues on a website:

• How visitors are finding a website.

• What visitors are doing on a website once they have found it.

• How often the things visitors do on a website result in revenue.

These signals are also referred to as KPIs (Key Performance Indicators) for a website. Most “top metrics” lists, which attempt to present the most important web metrics, are completely useless. The reason is simple: First, they mix so-called vanity metrics with diagnostic metrics. The result is a long list of things to do but without any added value. Second, there are already too many web metrics in existence.

The following 16 web metrics are presented grouped by four diagnostic areas: acquisition, engagement, conversion, and revenue. By following these metrics in sequence, it is possible to immediately see where a website’s funnel leaks. Avoid useless industry benchmarks for web analytics by knowing when to apply them and when not to.

Part 1 — Acquisition Metrics

There are three key metrics to understand where your visitors are coming from, and whether those channels are bringing the right people to your website. Use these to measure website visits by source and qualify your traffic.

1. Traffic Sources

What it is: A report that shows you the traffic coming to your website from organic search, direct, referral, paid, email, social, etc.

Why it matters: Channel mix tells you where your funnel starts and whether it’s healthy. If organic search drives 60% of visits but 10% of revenue, then your traffic is either poorly qualified or your content is not converting well. Also, if paid is your only lever for growth, then one budget cut and your pipeline will stall.

The 2025 industry average split for all channels is 53% organic, 25% direct, 13% referral, 5% paid, 4% social.

• Healthy B2B will have organic above 40% of total visits.

• High-growth ecommerce will have paid at 25–35% during acquisition phases.

• Social will have social above 10%, but this is rare unless community is a core channel for you.

How to track it:

• GA4: Reports → Acquisition → Traffic acquisition. Use the dimension of Source/medium over the last 30 days.

• Lucky Orange: Dashboard → Traffic Sources. Filter by UTM campaign in the URL to see which specific ads or email sends are driving qualified sessions to your site.

Quick win: Find your worst channel and audit the landing page(s) for that channel for message match before you add any more budget.

2. Organic Click-Through Rate (CTR)

What it is: The % of Google impressions that click through to your website. Measured per keyword and per URL in Search Console.

Why it matters: CTR is the biggest lever between ranking and traffic. A page ranking #4 with a 3% CTR will get fewer visits than a page at #6 with an 8% CTR and a sharper title. With AI Overviews that are now compressing the visible SERP to 3–4 listings per category, every click you earn is worth more, and every weak title is costing you disproportionately to previous years.

• Position 1: ~28–39% CTR depending on query type.

• Position 3: ~10–13% CTR.

• Position 6: ~3–5% CTR.

• Branded queries run significantly higher at every position.

How to track it:

• GA4: Connect Search Console to your GA4 property, then Acquisition → Search Console → Queries to see the CTR for each keyword.

• Lucky Orange: Cross-reference your top-traffic pages in Lucky Orange with their Search Console CTR data to find high engagement but underperforming click volume for a given rank.

Quick win: Audit the title tags on your top 10 organic pages. Make sure the primary keyword for the given page is in the first 40 characters of the title tag. Test one at a time and track the change in CTR in Search Console over 4 weeks.

3. New vs. Returning Visitors

What it is: A ratio of new visitors to returning visitors to your website, tracked over any date range as a single ratio.

Why it matters: New visitors to your website measure acquisition health. Returning visitors to your website measure loyalty, retention, and the quality of the first impression that new visitors get from your brand. A site with 95% new visitors is burning acquisition budget and getting no equity built up in return. A site with 95% returning visitors is not growing.

• Early-stage SaaS will have 85–90% new visitors while building awareness.

• Mature B2B blog will have 65–80% new with a strong returning cohort that converts at 2–3x the rate of the first-timers.

• Ecommerce will typically have 70–80% new visitors, with returning visitors driving disproportionate revenue.

The Databox benchmark for B2B companies at median is ~3,000 monthly new visitors. For B2C companies at median is ~6,000 monthly new visitors.

How to track it:

• GA4: Reports → Retention → New vs. returning users.

• Lucky Orange: Dashboard → Traffic Sources. Use the toggle to switch between New vs. Returning visitors. Use UTM source to segment by acquisition channel to measure efficiency.

Quick win: If your returning visitor ratio is below 15%, then you have a retention problem. Do you have email capture, retargeting, content subscription, etc., in place already? If not, then that is your quick win.

Part 2 — Website Engagement Metrics

Website engagement metrics are the most undertracked section of website analytics, yet they provide the best indicator of whether or not your traffic will convert.

I recommend you track the following core metrics for website engagement:

4. Engagement Rate

What it is: GA4’s measure of “Bounce Rate” that takes into account the length of time a user stayed on your site, as well as any conversion events and the number of page views they made during their session. It is also measurable on a per-landing-page basis, showing you which content is engaging your visitors best and which is not.

Why it matters: As a metric, bounce rate was easy to manipulate and often led to incorrect assumptions about user behavior. Engagement rate provides a far more accurate insight. For example, someone who reads half of a long blog post before exiting is considered to be engaged even if they didn’t go on to convert. This metric also highlights which pages of your site are leaking the most visitors, allowing for the greatest area for improvement.

Benchmarks:

• Blog & content sites: 55%–70% engagement rate

• SaaS product pages: 45%–60%

• Ecommerce category pages: 40%–55%

How to track it:

• GA4: Reports > Engagement > Landing page. Add the “Engagement rate” column and sort by sessions in descending order to first see the worst-performing pages.

• Lucky Orange: Short sessions (less than 30 seconds) in session recordings can highlight where on your site your visitors are dropping off. Compare to scroll depth in heatmaps to gain further insight.

5. Average Session Duration and Pages Per Session

What it is: A measure of how long, on average, your visitors stay on your site, as well as how many pages they visit on average per session. These two metrics are best used in conjunction with each other. For example, a session of 8 minutes on a single page is far less engaging than a session of 6 minutes that spans 3 separate pages.

Why it matters: For sites heavy in content, such as blogs, these metrics will provide insight into whether or not your internal linking and overall content depth is sufficient to keep visitors engaged for longer. For SaaS companies, average session duration on pricing pages and feature pages in particular can be used as a leading indicator for trials.

Benchmarks — website engagement KPIs by site type:

• B2B SaaS: 2–3 min average session length & 2.5–3.5 pages/session

• Ecommerce: 3–4 min average session length & 4–6 pages/session

• Content/blog sites: 2–4 min average session length & 1.8–2.5 pages/session

How to track it:

• GA4: Reports > Engagement > Overview for the site-wide averages. Then drill down into individual pages within Reports > Engagement > Landing page.

• Lucky Orange: Dashboard > Pages. The “Engaged sessions” column in particular highlights which individual pages are doing best at holding visitors’ attention as opposed to simply attracting them in the first place.

6. Scroll Depth

What it is: A measure of how far down individual pages your visitors scroll on average, typically reported at 25%, 50%, 75% and 100% thresholds.

Why it matters: While you can gain insight into the length of time that your visitors are staying on individual pages (time on page), this does not provide any information about where on the page they actually stopped. Therefore, scroll depth is an incredibly powerful diagnostic metric. For example, if just 70% of visitors are making it to the 40% scroll threshold on a given page, then everything below that point on the page is effectively invisible to your visitors. In particular, this means that any CTAs you have placed below this threshold will also never be seen by those same visitors. Scroll depth therefore provides insight into whether the overall structure of your content is sufficient to hold your audience’s attention, or whether you’re simply burying your best material too far down long pages.

Benchmarks:

• A healthy blog post should see 50%+ of visitors scroll to the 50% mark

• If less than 30% of visitors make it to the 50% mark then either the hook at the top of the post isn’t working or the page is loading slowly on mobile devices.

• CTAs placed above the 60% scroll threshold on average outperform those placed at the end of posts by a significant margin.

How to track it:

• GA4: Custom events > Scroll. As scroll tracks by default at 90% of the page being scrolled, adjust the threshold in the GTM tag as required to hit the 25%, 50%, 75% & 100% thresholds in particular.

• Lucky Orange: Heatmaps > Scroll maps. Select any URL to view a complete scroll depth distribution for that page. Use the filter by device type to also compare scroll behavior on mobile devices to that on desktop devices. Scroll behavior on mobile devices is, on average, 15–25 percentage points lower than on desktop for any given page.

7. Top Pages

What it is: A list of the highest trafficked URLs on your site, typically in the order of most sessions first.

Why it matters: As traffic follows the Pareto principle, a small set of high-traffic pages will account for the vast majority of sessions on your site. As such, any optimizations made to individual pages will have a greater impact on your site’s overall performance than just about any other change you make. In terms of benchmarks, high-performing SaaS blog sites see 70%–80% of their total sessions concentrated within their top 10 URLs. If your own top 10 pages only account for less than 50% of your total site traffic then either your content is being distributed extremely evenly across a large number of individual pieces or is suffering from a dilution effect. Either way, it is highly unlikely to be driving the level of performance that sites with highly concentrated traffic distributions are.

How to track it:

• GA4: Reports > Engagement > Landing page. Sort by “Sessions” in descending order to highlight worst-performing pages first.

• Lucky Orange: Dashboard > Top Pages. Sort by “Engaged sessions” in descending order to view individual pages by engagement performance instead.

Quick win: Add a CTA and two relevant internal links in the middle of long top-performing pages to instantly improve conversion rates on already high-performing traffic without having to change any acquisition channels.

Part 3 — Conversion Metrics

8. Conversion Rate

What it is: The percentage of visitors who complete a defined goal — trial signup, purchase, demo request, form fill, or any other action that maps to revenue.

Why it matters: Conversion rate is the multiplier on all your acquisition work. A 0.5-point lift on a page seeing 10,000 monthly visits is 50 additional customers without a single extra ad dollar. It also directly affects CAC and ROAS — a higher conversion rate means every channel gets cheaper.

Benchmarks:

• Ecommerce checkout: 2.5--3% average, 5--10% for top performers

• SaaS visitor-to-trial: 2--5%, elite teams break 10%

• Landing pages across industries: ~5.9% median

• SaaS trial-to-paid: 18--29% depending on onboarding quality

How to track it:

• GA4: Admin → Events → mark key events as Conversions. Reports → Conversions paired with Session source/medium to find which channels convert cheapest.

• Lucky Orange: Goals → create a URL destination or click goal → Dashboard → Goal Funnel to watch step-by-step drop-off.

Quick win: Strip navigation from your highest-traffic landing page. Removing the escape routes from a page that's already converting is one of the fastest 10--20% relative lift moves available.

9. Cart Abandonment Rate

What it is: The share of shoppers who add items to a cart but don't complete the purchase. The inverse of checkout conversion rate.

Why it matters: The global average is roughly 70% abandonment. At a $100 AOV and 10,000 monthly cart additions, moving from 70% to 65% abandonment adds $50,000 in monthly revenue without touching acquisition. It's the highest-leverage number in ecommerce.

Benchmarks:

• Global average: 68--72%

• Mobile: 85%+ (mobile checkout friction is consistently worse)

• Best-in-class ecommerce: 55--60%

How to track it:

• GA4: Set up a funnel from add_to_cart → begin_checkout → purchase events. The drop between steps is your abandonment rate.

• Lucky Orange: Build a Goal Funnel from add-to-cart through the thank-you page. Session recordings filtered to "added to cart but didn't purchase" show you exactly where the friction is — shipping cost reveal, form fields, trust signal gaps.

10. Click-Through Rate on CTAs

What it is: The percentage of page visitors who click your primary call-to-action — a trial button, demo request, add-to-cart, or any other conversion trigger on the page.

Why it matters: A page can have strong engagement metrics and a poor CTA clickthrough rate. That gap tells you the content is working but the offer, placement, or copy is failing. CTA clickthrough rate is the diagnostic between intent and action.

Benchmarks:

• Primary CTA on a SaaS pricing page: 3--8%

• Mid-post blog CTA: 0.5--2%

• Hero section CTA on a landing page: 4--12% for high-intent traffic

How to track it:

• Lucky Orange: Heatmaps → Clicks. Shows exactly where on the page visitors are clicking — and where they're not. Compare click concentration vs. your CTA placement.

• GA4: Tag CTA clicks as custom events. Report on click rate per page to find underperforming offers.

Part 4 — Revenue and Retention Metrics

11. Revenue Per Visitor (RPV)

What it is: Revenue Per Visitor is calculated by dividing total revenue by the total number of visitors over a time frame.

Why it matters: It is one of the most critical metrics to tie together the volume of visitors with revenue generated from those visitors. Essentially, it allows you to compare channels, campaigns, and time frames by a single number and understand relative performance. For example, a channel that sends 500 visitors at $4.00 RPV is performing far better than a channel that sends 2,000 visitors at $0.80 RPV. RPV also clearly highlights whether an increase in conversion rate is actually an improvement or if it has simply led to a change in the type of visitors coming to your site.

12. Customer Lifetime Value (LTV)

What it is: The Customer Lifetime Value (LTV) is the total amount of money a customer is expected to generate for a business over a period of time. This would be calculated as total revenue from a customer less the cost of acquiring them.

Why it matters: The purpose of the Customer Lifetime Value is to clearly indicate how much you can spend to acquire a customer and still remain profitable. What may initially appear to be positive conversion rates could actually result in significant losses if the LTV is very low compared to higher-value customers. Customer Lifetime Value also acts as a benchmark for tracking retention over time. If retention remains constant or decreases, it generally indicates a problem with the product or with the business’s onboarding process.

13. Return on Ad Spend (ROAS)

What it is: Return on Ad Spend (ROAS) is the revenue generated from an ad divided by the cost of the ad, then multiplied by 100 to get a percentage.

Why it matters: It is a key efficiency metric for paid channels, enabling you to determine which campaigns to continue investing in and which are generating returns that are insufficient to continue running. For example, a campaign with a ROAS of 400% is generating enough return to be profitable, while a campaign with a ROAS of 100% is break-even.

Benchmarks:

• Ecommerce: 3-5x ROAS is typical for most product categories and considered break-even to profitable.

• SaaS: Less relevant than CAC:LTV ratio but can be used together to provide further context.

Part 5 — Technical and UX Metrics

14. Page Load Speed and Core Web Vitals

What it is: Page Load Speed and Core Web Vitals are measures of how fast your pages load and how well they render. Google tracks the three Core Web Vitals metrics – Largest Contentful Paint (LCP), Cumulative Layout Shift (CLS), and Interaction to Next Paint (INP) – to give you a better idea of how fast your website is loading and how well it is performing for users.

Why it matters: Because Page Load Speed is a ranking factor, it directly affects your Google rankings and, consequently, your revenue. According to studies, a 1-second delay in page load reduces conversions by 7% on average. This means that every second of delay costs you money. And, as you know, pages that take longer than 2.5 seconds to LCP are considered to be performing poorly. Also, remember that all the work that your team is doing to increase conversions on your site will be largely in vain if your pages take too long to load. So, you need to make sure that your site is loading fast enough to pass the Core Web Vitals benchmarks.

Benchmarks:

• LCP: < 2.5s (good), 2.5s – 4.0s (needs improvement), > 4.0s (poor)

• INP: < 200ms (good)

• CLS: < 0.1 (good)

How to track it: You can check your Core Web Vitals in Google PageSpeed Insights and in Search Console → Core Web Vitals report.

• Lucky Orange: By recording sessions on slow-loading pages, you can see for yourself what users do during the time that the page is loading. You will be able to spot the rage clicks, early exits, and scroll hesitation that occur when pages take too long to load.

15. User Demographics

What it is: A breakdown of your visitors by age, gender, location, device, and language.

Why it matters: The demographics of the people visiting your website or app will confirm whether or not the people who are visiting your site are the people you were building it for in the first place. If a SaaS platform for VP-level buyers is getting 70% 18–24 year old traffic, then you have a targeting problem, not an optimization problem. And, as mentioned before, the demographics of your device-using visitors will directly inform your CRO priorities. For example, if 60% of your traffic is coming from mobile but your mobile conversion rate is 40% below that of desktop, then your highest-leverage fix is going to be to improve the mobile experience.

Benchmarks:

• Enterprise SaaS: 60%+ male, 35–44 largest cohort

• DTC/Ecommerce: Very variable by category. The key is to compare the demographics of the actual audience to the demographics of the intended audience.

How to track it: In GA4, this can be found in the Reports > User section under Demographic details. You will also need to enable Google Signals to get the age and gender data.

• Lucky Orange: In the Visitors report, you can filter by location or device type and then save that as a Segment. You can then apply that same filter to your recordings and heatmaps to see how users of different demographics interact with your site.

Website Benchmarks by Industry

Of course, these are just rough guidelines. To set meaningful targets, you need to compare your numbers against the right industry benchmarks for web analytics. Below, you can find the same set of metrics for 4 site types, i.e., B2B SaaS, Ecommerce, Content/Media, and Professional Services. I’ve used these to create a rough guide to website metrics and corresponding benchmarks, which I hope you’ll treat as a baseline rather than a set of hard and fast rules.

Sources: Clear Digital, Hike SEO, Databox, Hinge Marketing, MetricHQ, Opensend, Klipfolio, Dataflo, Adffect, Oberlo, Siege Media, Littledata

Website traffic benchmarks by industry: As traffic volume is one of the most important web metrics, Similarweb’s industry benchmarks by industry and company size are the most reliable public data to refer to when you want to compare your numbers to those of your peers. Don’t compare a 10-person SaaS startup to Salesforce on absolute traffic numbers, for instance.

New vs. returning visitors: The right split of new to returning visitors depends on your growth stage. Early-growth companies should aim for 80–90% new, while mature companies with strong content and email programs can aim for 65–75% new. This is because the returning cohort converts at a rate of 2–3 times that of the first-timers and is therefore extremely valuable to protect.

B2B Website Metrics: What's Different

Standard website metrics benchmarks are based on consumer and e-commerce data. Many B2B organizations, especially those with long sales cycles or with enterprise buyers, operate in a very different context, and thus B2B website metrics can diverge quite significantly from these consumer norms.

Don’t expect your B2B website to have the same kind of high traffic as a consumer-facing site. But just because your website does not get a lot of traffic does not mean that it is failing. In fact, the traffic that your B2B website does get is likely to be of higher intent than that of a typical consumer-facing site.

This is because B2B organizations typically have much longer sales cycles than their consumer counterparts. For this reason, it is better to measure the engagement that your website visitors have with your pricing pages and feature pages in greater depth.

Why?

• Because it is on these types of pages that buying signals are more likely to be converted into leads.

Other key metrics that you should pay close attention to on your B2B website include:

• The rate at which returning visitors from target accounts convert into leads

• The level of content depth that returning visitors from these accounts engage with on your website

Are they going deeper into your product content, or are they merely returning to the same awareness-stage pages that they visited on previous occasions?

How to Measure Website Success: A Simple Framework

In order to measure website success, we track 16 different data points in the full website funnel. However, not all of them have to be measured on a weekly basis. Below is a list of the 16 data points that we use, prioritized by the frequency of measurement.

Weekly: Conversion rate, engagement rate, top pages (traffic and engaged sessions), cart abandonment (ecommerce) abandonment rate.

Monthly: Traffic source mix, new sessions vs. returning users, average revenue per visitor (RPV) by channel, Core Web Vitals, keyword rankings for primary pages on website.

Quarterly: Average lifetime value (LTV) trends, return on ad spend (ROAS) by campaign, demographic alignment, full-funnel website benchmarks.

Measuring website success is not about having more and more metrics. In the end, you want to have fewer metrics that you can act upon. Choose one number for each funnel stage, set a target, and run an experiment to reach the target. Measuring, diagnosing, fixing, and measuring again.

When it comes to B2B websites, there are a few metrics that should be given more weight.

First, as with any site, lead conversion rate is key. Next, time on high-intent pages (like pricing, features, or case studies) is also very important to track, as well as return visit frequency. Also, because B2B buyers are low volume / high intent, it can be very powerful to track account-level engagement—i.e., multiple stakeholders from the same company visiting your site across multiple sessions.

What are good website traffic benchmarks?

Well, first off, it really depends on the industry and the stage of the company. A more useful benchmark to track than raw traffic volume is your conversion rate relative to your channel mix. For example, organic traffic should convert at around 1–3% for SaaS companies and 2–4% for e-commerce companies. If you are not hitting these numbers, even with decent traffic, the problem is on-site, not acquisition. There are many resources available to look up absolute traffic benchmarks by vertical, including annual industry reports published by Similarweb and Databox that are updated more regularly and are therefore more accurate than generic averages found elsewhere on the web.

In the world of web analytics, the term “website metrics” is often used interchangeably with “web analytics metrics”.

However, there is a subtle difference between the terms. By “website metrics” I am referring to individual data points that can be tracked on a website (such as bounce rate, session duration, conversion rate, etc.). By “web analytics metrics” I am referring to the same individual data points in the context of a web analytics platform (i.e., tracked, segmented, and reported on over time using the analytics tool). The distinction is mostly relevant for tool selection rather than for how you use the data to drive your growth strategy.

In order to track the metrics mentioned above for your website, you will need a few different tools.

For quantitative traffic and conversion data, you will need web analytics software such as GA4. For organic search performance, you will need Google Search Console. And for qualitative behavioral data (such as heatmaps, session recordings, and funnel visualizations), you will need a behavioral analytics tool such as Lucky Orange.

In terms of actually using the data to drive your growth, the GA4 + Lucky Orange combination covers about 95% of what most growth teams need. And because Lucky Orange has direct GA4 integration, you can easily move from looking at “what’s happening” in GA4 to watching recordings of individual sessions in Lucky Orange in order to determine “why” and inform your growth strategy.

Start Seeing the "Why" Behind Your Metrics

GA4 is just going to tell you that a page has a 72% abandonment rate. Lucky Orange is going to show you the exact moment that your visitors hit that unexpected shipping cost and close the tab.

Start your free 14-day Lucky Orange trial → No credit card required. Most teams have their first “aha” moment within 10 minutes of installing.

Related reading:

• What Is a Good Conversion Rate? (With Benchmarks by Industry)

• CRO Tools: The Stack That Actually Moves Conversion Rate

• Landing Page Optimization: The Practitioner’s Guide

• Session Replay vs. Heatmaps: When to Use Each

Q&A

Question: If you only had to track 5 metrics in Google Analytics to get a sense of your website’s performance, how would you choose them, and how often would you check them out?

I’d choose to track five key metrics for the acquisition, engagement, conversion, and retention of visitors on your website.

For acquisition, I would track conversion rate, engagement rate, traffic source mix, new vs. returning visitor split, and page load speed.

For weekly reviews of your site’s performance, I would look at your conversion rate, engagement rate, your top pages, and your cart abandonment rate if you’re running an ecommerce site.

For your monthly reviews of your site’s performance, you should look at the traffic source mix, new vs. returning visitor split, revenue per visitor by channel, Core Web Vitals, and your priority keyword rankings.

Finally, for your quarterly site reviews, you can look at LTV trends, ROAS by campaign, demographic alignment, and a full-funnel benchmark to compare your site’s performance to that of your competitors.

The metrics that control acquisition quality, on-site behavior, and technical performance of your site.

Question: What are the fastest wins to improve performance across the entire funnel?

Short answer:

• Acquisition/SEO: Write titles for your top 10 organic pages so that the primary keyword for the page is within the first ~40 characters, and then track CTR lift in Search Console over the 4 weeks after the change.

• Channel quality: Fix the landing page message match for your weakest channel before adding budget to it.

• Engagement: Add a mid-page CTA and two contextual internal links on each of your top-10 pages.

• Conversion: Remove top navigation from your highest-traffic landing page to get a 10-20% relative conversion lift.

• Retention: If returning visitors make up <15% of your visitors, add email capture/retargeting/subscription flows to the funnels where they are appropriate.

• Content structure: Move key CTAs above the ~60% scroll mark on your pages, and then use scroll maps to avoid burying offers on your pages in the future.

• Ecommerce friction: Build out an add_to_cart → checkout → purchase funnel, and then use session replays to diagnose issues such as late shipping-cost reveals or form friction that cause “added to cart but didn’t purchase” behavior.

Question: How do you quickly diagnose where the biggest leaks in the funnel are?

Short answer: Use the metrics in sequence:

• Acquisition: Use traffic sources, organic CTR, and new vs. returning to work from the top of the funnel down. Red flags here would be overreliance on a single channel and then very low CTR for high-ranking pages (fix titles and SERP intent match).

• Engagement: Use engagement rate, session duration/pages per session, scroll depth, and top pages to work from the top of the funnel down here as well. Large drops in engagement rate here would indicate weak hooks, slow pages (especially on mobile), and buried CTAs.

• Conversion: Use conversion rate, cart abandonment (ecomm), and CTA click-through rate to work from the top of the funnel down here as well. Good engagement but very low CTA CTR here would indicate an offer/placement/copy problem. Large drop-offs in checkout would indicate friction (shipping reveal, forms, trust).

• Revenue/retention: Use revenue per visitor, LTV, and ROAS to confirm that fixes to leaks earlier in the funnel actually translated into real dollars for your company. Diagnose the same leaks in GA4 (what’s happening) as you would in Lucky Orange (why it’s happening) by building funnels in GA4 and then using heatmaps and session replays in Lucky Orange to diagnose the root cause of issues identified in the funnels.

Question: What are the GA4 benchmarks for engagement that we should aim for? How is engagement rate different from bounce rate in Google Analytics?

Short answer: GA4 engagement is defined as a session that lasts >10s and includes 2+ pageviews or a conversion event. Benchmarks for engagement rate by channel type are 55–70% for blogs, 45–60% for SaaS product pages, and 40–55% for ecommerce category pages. Unlike bounce rate in Google Analytics, engagement rate in GA4 does count sessions that contain meaningful interactions with a page (e.g., reading half a blog post). Use GA4’s Landing Page report to track engagement rate for individual landing pages, and use Lucky Orange’s scroll and recordings features to determine the exact location of large drops in engagement rate on individual pages.

Question: How to interpret B2B benchmarks and which metrics to prioritize.

Short answer: For B2B companies, traffic to a website will typically be lower but more intent-driven than for B2C companies, resulting in longer sessions with fewer pageviews and often multi-session paths to conversion. For this reason, B2B companies should prioritize the following five metrics:

1. Lead conversion rate (forms, demos, trials, etc.) for direct acquisition of leads,

2. Time on pricing/feature/case study pages for indicators of consideration,

3. Return-visit frequency for target accounts for indicators of account engagement over time,

4. Account-level behavior (e.g., behavior from multiple stakeholders from the same company) for understanding company-wide interaction with your website.

Unlike consumer-wide averages for website metrics, the relevant benchmark for B2B companies is whether the returning cohort is growing and engaging more deeply over time.

Question: What are the fastest wins to improve performance across the entire funnel?

Short answer:

• Acquisition/SEO: Write titles for your top 10 organic pages so that the primary keyword for the page is within the first ~40 characters, and then track CTR lift in Search Console over the 4 weeks after the change.

• Channel quality: Fix the landing page message match for your weakest channel before adding budget to it.

• Engagement: Add a mid-page CTA and two contextual internal links on each of your top-10 pages.

• Conversion: Remove top navigation from your highest-traffic landing page for a fast 10–20% relative conversion lift.

• Retention: If returning visitors make up <15% of your visitors, add email capture/retargeting/subscription flows to the funnels where they are appropriate.

• Content structure: Move key CTAs above the ~60% scroll mark on your pages, and then use scroll maps to avoid burying offers on your pages in the future.

• Ecommerce friction: Build out an add_to_cart → checkout → purchase funnel, and then use session replays to diagnose issues such as late shipping-cost reveals or form friction that cause “added to cart but didn’t purchase” behavior.