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  • Web Analytics Reports : 10 Key Types and How to Use Them

    29 janvier 2024, par Erin

    You can’t optimise your website to drive better results if you don’t know how visitors are engaging with your site.

    But how do you correctly analyse data and identify patterns ? With the right platform, you can use a wide range of web analytics reports to dive deep into the data.

    In this article, we’ll discuss what website analytics reports are, different types, why you need them, and how to use reports to find the insights you need.

    What is web analytics ?

    Website analytics is the process of gathering, processing, and analysing data that shows what users are doing when they visit your website. 

    You typically achieve this with web analytics tools by adding a tracking code that shares data with the analytics platform when someone visits the site.

    Illustration of how website analytics works

    The visitors trigger the tracking code, which collects data on how they act while on your site and then sends that information to the analytics platform. You can then see the data in your analytics solution and create reports based on this data.

    While there are a lot of web analytics solutions available, this article will specifically demonstrate reports using Matomo.

    What are web analytics reports ?

    Web analytics reports are analyses that focus on specific data points within your analytics platform. 

    For example, this channel report in Matomo shows the top referring channels of a website.

    Channel types report in Matomo analytics

    Your marketing team can use this report to determine which channels drive the best results. In the example above, organic search drives almost double the visits and actions of social campaigns. 

    If you’re investing the same amount of money, you’d want to move more of your budget from social to search.

    Why you need to get familiar with specific web analytics reports

    The default web analytics dashboard offers an overview of high-level trends in performance. However, it usually does not give you specific insights that can help you optimise your marketing campaigns.

    For example, you can see that your conversions are down month over month. But, at a glance, you do not understand why that is.

    To understand why, you need to go granular and wider — looking into qualifying data that separates different types of visitors from each other.

    Gartner predicts that 70% of organisations will focus on “small and wide” data by 2025 over “big data.” Most companies lack the data volume to simply let big data and algorithms handle the optimising.

    What you can do instead is dive deep into each visitor. Figure out how they engage with your site, and then you can adjust your campaigns and page content accordingly.

    Common types of web analytics reports

    There are dozens of different web analytics reports, but they usually fall into four separate categories :

    Diagram that illustrates the main types of web analytics reports
    • Referral sources : These reports show where your visitors come from. They range from channel reports — search, social media — to specific campaigns and ads.
    • Engagement (on-site actions) : These reports dive into what visitors are doing on your site. They break down clicks, scrolling, completed conversion goals, and more.
    • E-commerce performance : These reports show the performance of your e-commerce store. They’ll help you dive into the sales of individual products, trends in cart abandonment and more.
    • Demographics : These reports help you understand more about your visitors — where they’re visiting from, their browser language, device, and more.

    You can even combine insights across all four using audience segmentation and custom reports. (We’ll cover this in more detail later.)

    How to use 10 important website analytics reports

    The first step is to install the website analytics code on your website. (We include more detailed information in our guide on how to track website visitors.)

    Then, you need to wait until you have a few days (or, if you have limited traffic, a few weeks) of data. Without sufficient website visitor data, none of the reports will be meaningful.

    Visitor Overview report

    First, let’s take a look at the Visitor Overview report. It’s a general report that breaks down the visits over a given time period.

    Visitor overview report in Matomo

    What this report shows :

    • Trends in unique visits month over month
    • Basic engagement trends like the average visit length and bounce rate
    • The number of actions taken per page

    In general, this report is more of a high-level indicator you can use to explore certain areas more thoroughly. For example, if most of your traffic comes from organic traffic or social media, you can dive deeper into those channels.

    Try Matomo for Free

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    Location report

    Next up, we have the most basic type of demographic report — the Location report. It shows where your visitors tend to access your website from.

    Location report in Matomo

    What this report shows :

    • The country, state or city your visitors access your website from

    This report is most useful for identifying regional trends. You may notice that your site is growing in popularity in a country. You can take advantage of this by creating a regional campaign to double down on a high performing audience.

    Device report

    Next, we have the Device report, which breaks down your visitors’ devices.

    Device report in Matomo analytics

    What this report shows :

    • Overall device types used by your visitors
    • Specific device models used

    Today, most websites are responsive or use mobile-first design. So, just seeing that many people access your site through smartphones probably isn’t all that surprising.

    But you should ensure your responsive design doesn’t break down on popular devices. The design may not work effectively because many phones have different screen resolutions. 

    Users Flow report

    The Users Flow report dives deeper into visitor engagement — how your visitors act on your site. It shows common landing pages — the first page visitors land on — and how they usually navigate your site from there.

    Users flow report in Matomo analytics

    What this report shows :

    • Popular landing pages
    • How your visitors most commonly navigate your site

    You can use this report to determine which intermediary pages are crucial to keeping visitors engaged. For example, you can prioritise optimisation and rewriting for case study pages that don’t get a lot of direct search or campaign traffic.

    Improving this flow can improve conversion rates and the impact of your marketing efforts.

    Try Matomo for Free

    Get the web insights you need, without compromising data accuracy.

    No credit card required

    Exit Pages report

    The Exit Pages report complements the Users Flow report well. It highlights the most common pages visitors leave your website from.

    Exit pages report in Matomo analytics

    What this report shows :

    • The most common exit pages on your website
    • The exit rates of these pages

    Pages with high exit rates fall into two categories. The first are pages where it makes sense that visitors leave, like a post-purchase thank-you page. The second are pages where you’d want your visitors to stay and keep flowing down the funnel. When the rates are unusually high on product pages, category pages, or case study pages, you may have found a problem.

    By combining insights from the Users Flow and Exit Pages reports, you can find valuable candidates for optimisation. This is a key aspect of effective conversion rate optimisation.

    Traffic Acquisition Channel report

    The Acquisition Channels report highlights the channels that drive the most visitors to your site.

    Acquisition report in Matomo analytics

    What this report shows :

    • Top referring traffic sources by channel type
    • The average time on site, bounce rates, and actions taken by the source

    Because of increasingly privacy-sensitive browsers and apps, the best way to reliably track traffic sources is to use campaign tracking URL. Matomo offers an easy-to-use campaign tracking URL builder to simplify this process.

    Search Engines and Keywords report

    The Search Engines and Keywords report shows which keywords are driving the most organic search traffic and from what search engines.

    Search engine keyword report in Matomo analytics

    What this report shows :

    • Search engine keywords that drive traffic
    • The different search engines that refer visitors

    One of the best ways to use this report is to identify low-hanging fruit. You want to find keywords driving some traffic where your page isn’t ranked in the top three results. If the keyword has high traffic potential, you should then work to optimise that page to rank higher and get more traffic. This technique is an efficient way to improve your SEO performance.

    Ecommerce Products report

    If you sell products directly on your website, the Ecommerce Products report is a lifesaver. It shows you exactly how all your products are performing.

    Ecommerce product report in Matomo analytics

    What this report shows :

    • How your products are selling
    • The average sale price (with coupons) and quantity

    This report could help an online retailer identify top-selling items, adjust pricing based on average sale prices, and strategically allocate resources to promote or restock high-performing products for maximum profitability.

    Try Matomo for Free

    Get the web insights you need, without compromising data accuracy.

    No credit card required

    Ecommerce Log report

    If you want to explore every single ecommerce interaction, the Ecommerce Log report is for you. It breaks down the actions of visitors who add products to their cart in real time.

    Ecommerce log report in Matomo analytics

    What this report shows :

    • The full journey of completed purchases and abandoned carts
    • The exact actions your potential customers take and how long their journeys last

    If you suspect that the user experience of your online store isn’t perfect, this report helps you confirm or deny that suspicion. By closely examining individual interactions, you can identify common exit pages or other issues.

  • CRO Audit : Increase Your Conversions in 10 Simple Steps

    25 mars 2024, par Erin

    You have two options if you’re unhappy with your website’s conversion rates.

    The first is to implement a couple of random tactics you heard on that marketing podcast, which worked for a business completely unrelated to yours. 

    The other is to take a more systematic, measured approach. An approach that finds specific problems with the pages on your site and fixes them one by one. 

    You’re choosing the second option, right ?

    Good, then let’s explain what a conversion rate optimisation audit is and how you can complete one using our step-by-step process.

    What is a CRO audit ?

    A conversion rate optimisation audit (CRO audit) systematically evaluates your website. It identifies opportunities to enhance your website’s performance and improve conversion rates. 

    During the audit, you’ll analyse your website’s entire customer journey, collect valuable user behaviour data and cross reference that with web analytics to find site elements (forms, calls-to-actions, etc.) that you can optimise.

    What is a CRO audit

    It’s one (and usually the first) part of a wider CRO strategy. 

    For example, an online retailer might run a CRO audit to discover why cart abandonment rates are high. The audit may throw up several potential problems (like a confusing checkout form and poor navigation), which the retailer can then spend time optimising using A/B tests

    Why run a CRO audit ?

    A CRO audit can be a lot of work, but it’s well worth the effort. Here are the benefits you can expect from running one.

    Generate targeted and relevant insights

    You’ve probably already tested some “best practice” conversion rate optimisations, like changing the colour of your CTA button, adding social proof or highlighting benefits to your headlines. 

    These are great, but they aren’t tailored to your audience. Running a CRO audit will ensure you find (and rectify) the conversion bottlenecks and barriers that impact your users, not someone else’s.

    Improve conversion rates

    Ultimately, CRO audits are about improving conversion rates and increasing revenue. Finding and eliminating barriers to conversion makes it much more likely that users will convert. 

    But that’s not all. CRO audits also improve the user experience and customer satisfaction. The audit process will help you understand how users behave on your website, allowing you to create a more user-friendly customer experience. 

    A 10-step process for running your first CRO audit 

    Want to conduct your first CRO audit ? Follow the ten-step process we outline below :

    A 10-step process for running your first CRO audit

    1. Define your goals

    Start your CRO audit by setting conversion goals that marry with the wider goals of your business. The more clearly you define your goals, the easier it will be to evaluate your website for opportunities. 

    Your goals could include :

    • Booking more trials
    • Getting more email subscribers
    • Reducing cart abandonments

    You should also define the specific actions users need to take for you to achieve these goals. For example, users will have to click on your call-to-action and complete a form to book more trials. On the other hand, reducing cart abandonments requires users to add items to their cart and click through all of the forms during the checkout process. 

    If you’re unsure where to start, we recommend reading our CRO statistics roundup to see how your site compares to industry averages for metrics like conversion and click-through rates. 

    You’ll also want to ensure you track these conversion goals in your web analytics software. In Matomo, it only takes a few minutes to set up a new conversion goal, and the goals dashboard makes it easy to see your performance at a glance. 

    Try Matomo for Free

    Get the web insights you need, without compromising data accuracy.

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    2. Review your analytics

    With your goals in mind, the next step is to dive into your website analytics and identify pages that need improvement.

    Consider the following conversion metrics when analysing pages :

    • Conversion rate
    • Average time on page
    • Average order value
    • Click-through rate

    Ensure you’re analysing metrics aligning with the goals you set in step one. Average order value could be a great metric to track if you want to reduce cart abandonments, for example, but it’s unsuitable to get more email subscribers.

    3. Research the user experience

    Next, you’ll want to gather user experience data to better understand how potential customers use your website and why they aren’t converting as often as you’d like. 

    You can use several tools for user behaviour analysis, but we recommend heatmaps and session recordings.

    Heatmaps visually represent how users click, move and scroll your website. It will show where visitors place their attention and which page elements are ignored. 

    Take a look at this example below from our website. As you can see, the navigation, headline and CTA get the most attention. If we weren’t seeing as many conversions as we liked and our CTAs were getting ignored, that might be a sign to change their colour or placement. 

    Screenshot of Matomo heatmap feature

    Session recordings capture the actions users take as they browse your website. They let you watch a video playback of how visitors behave, capturing clicks and scrolls so you can see each visitor’s steps in order. 

    Session recordings will show you how users navigate and where they drop off. 

    4. Analyse your forms

    Whether your forms are too confusing or too long, there are plenty of reasons for users to abandon your forms. 

    But how many forms are they abandoning exactly and which forms are there ?

    That’s what form analysis is for. 

    Running a form analysis will highlight which forms need work and reveal whether forms could be contributing to a page’s poor conversion rate. It’s how Concrete CMS tripled its leads in just a few days.

    Matomo’s Form Analytics feature makes running form analysis easy.

    A screenshot of Matomo's form analysis dashboard

    Just open up the forms dashboard to get a snapshot of your forms’ key metrics, including average hesitation time, starter rate and submission rates. 

    Try Matomo for Free

    Get the web insights you need, without compromising data accuracy.

    No credit card required

    5. Analyse your conversion funnel

    Next, analyse the conversion funnel to see if there’s an obvious bottleneck or several pages where visitors abandon your desired action. Common conversion abandonment points are shopping carts and forms.

    A website conversion funnel

    For example, you could find there is a drop-off in conversions between checking out and making a purchase or between booking a demo and signing up for a subscription. Understanding where these drop-offs occur lets you dig deeper and make targeted improvements.

    Don’t worry if you’ve got a very long funnel. Start at the bottom and work backward. Problems with the pages at the very end of your funnel tasked with converting customers (landing pages, checkout pages, etc.) will have the biggest impact on your conversion rate. So, it makes sense to start there. 

    6. Analyse campaigns and traffic sources (marketing attribution)

    It’s now time to analyse traffic quality to ensure you’re powering your conversion optimisation efforts with the best traffic possible. 

    This can also help you find your best customers so you can focus on acquiring more of them and tailoring your optimisation efforts to their preferences. 

    Run a marketing attribution report to see which traffic sources generate the most conversions and have the highest conversion rates. 

    Matomo comparing linear, first click, and last click attribution models in the marketing attribution dashboard

    Using marketing attribution is crucial here because it gives a fuller picture of how customers move through their journey, recognising the impact of various touchpoints in making a decision, unlike last-click attribution, which only credits the final touchpoint before a conversion.

    7. Use surveys and other qualitative data sources

    Increase the amount of qualitative data you have access to by speaking directly to customers. Surveys, interviews and other user feedback methods add depth and context to your user behaviour research.

    Sure, you aren’t getting feedback from hundreds of customers like you do with heatmaps or session recordings, but the information can sometimes be much richer. Users will often tell you outright why they didn’t take a specific action in a survey response (or what convinced them to convert). 

    Running surveys is now even easier in Matomo, thanks to the Matomo Surveys third-party plugin. This lets you add a customisable survey popup to your site, the data from which is automatically added to Matomo and can be combined with Matomo segments.

    8. Develop a conversion hypothesis

    Using all of the insights you’ve gathered up to this point, you can now hypothesise what’s wrong and how you can fix it. 

    Here’s a template you can use :

    Conversion Hypothesis Template

    This could end up looking something like the following :

    Based on evidence gathered from web analytics and heatmaps, moving our signup form above the fold will fix our lack of free trial signups, improving signups by 50%.

    A hypothesis recorded in Matomo

    Make sure you write your hypothesis down somewhere. Matomo lets you document your hypothesis when creating an A/B test, so it’s easy to reflect on when the test finishes. 

    9. Run A/B tests

    Now, it’s time to put your theory into practice by running an A/B test.

    Create an experiment using a platform like Matomo that creates two different versions of your page : the original and one with the change you mentioned in your hypothesis. 

    There’s no set time for you to run an A/B test. Just keep running it until the outcome is statistically significant. This is something your A/B testing platform should do automatically. 

    A statistically significant result means it would be very unlikely the outcome doesn’t happen in the long term.

    A screenshot of an A/B test

    As you can see in the image above, the wide header variation has significantly outperformed both the original and the other variation. So we can be pretty confident about making the change permanent. 

    If the outcome of your A/B test also validates your conversion hypothesis, you can implement the change. If not, analyse the data, brainstorm another hypothesis and run another A/B test. 

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    10. Monitor and iterate

    You need to develop a culture of continuous improvement to succeed with conversion rate optimisation. That means constantly monitoring your conversion goals and running tests to improve your metrics. 

    While you don’t need to run a conversion audit every month, you should run audits regularly throughout the year.

    How often should you conduct a CRO audit ? 

    You should conduct a CRO audit fairly regularly. 

    We recommend creating a CRO schedule that sees you run a CRO audit every six to 12 months. That will ensure you continue identifying problem pages and keeping your conversion rates competitive. 

    Regular CRO audits will also account for evolving consumer behaviours, changes in your industry and your own business goals, all of which can impact your approach conversion rate optimisation. 

    Run your CRO audit with Matomo

    A CRO audit process is the only way you can identify conversion optimisation methods that will work for your site and your target audience. It’s a methodical, data-backed strategy for making targeted improvements to send conversion rates soaring. 

    There are a lot of steps to complete, but you don’t need dozens of tools to run a CRO audit process. 

    Just one : Matomo.

    Unlike other web analytics platforms, like Google Analytics, Matomo has the built-in tools and plugins to help with every step of the CRO audit process, from web analytics to conversion funnel analysis and A/B testing. With its accurate, unsampled data and privacy-friendly tracking, Matomo is the ideal choice for optimising conversions. 

    Learn how to increase your conversions with Matomo, and start a free 21-day trial today. No credit card required.

  • 7 Ecommerce Metrics to Track and Improve in 2024

    12 avril 2024, par Erin

    You can invest hours into market research, create the best ads you’ve ever seen and fine-tune your budgets. But the only way to really know if your digital marketing campaigns move the needle is to track ecommerce metrics.

    It’s time to put your hopes and gut feelings aside and focus on the data. Ecommerce metrics are key performance indicators that can tell you a lot about the performance of a single campaign, a traffic source or your entire marketing efforts. 

    That’s why it’s essential to understand what ecommerce metrics are, key metrics to track and how to improve them. 

    Ready to do all of the above ? Then, let’s get started.

    What are ecommerce metrics ? 

    An ecommerce metric is any metric that helps you understand the effectiveness of your digital marketing efforts and the extent to which users are taking a desired action. Most ecommerce metrics focus on conversions, which could be anything from making a purchase to subscribing to your email list.

    You need to track ecommerce metrics to understand how well your marketing efforts are working. They are essential to helping you run a cost-effective marketing campaign that delivers a return on investment. 

    For example, tracking ecommerce metrics will help you identify whether your digital marketing campaigns are generating a return on investment or whether they are actually losing money. They also help you identify your most effective campaigns and traffic sources. 

    Ecommerce metrics also help you spot opportunities for improvement both in terms of your marketing campaigns and your site’s UX. 

    For instance, you can use ecommerce metrics to track the impact on revenue of A/B tests on your marketing campaigns. Or you can use them to understand how users interact with your website and what, if anything, you can do to make it more engaging.

    What’s the difference between conversion rate and conversion value ?

    The difference between a conversion rate and a conversion value is that the former is a percentage while the latter is a monetary value. 

    There can be confusion between the terms conversion rate and conversion value. Since conversions are core metrics in ecommerce, it’s worth taking a minute to clarify. 

    Conversion rates measure the percentage of people who take a desired action on your website compared to the total number of visitors. If you have 100 visitors and one of them converts, then your conversion rate is 1%. 

    Here’s the formula for calculating your conversion rate :

    Conversion Rate (%) = (Number of conversions / Total number of visitors) × 100

    Conversion rate formula

    Using the example above :

    Conversion Rate = (1 / 100) × 100 = 1%

    Conversion value is a monetary amount you assign to each conversion. In some cases, this is the price of the product a user purchases. In other conversion events, such as signing up for a free trial, you may wish to assign a hypothetical conversion value. 

    To calculate a hypothetical conversion value, let’s consider that you have estimated the average revenue generated from a paying customer is $300. If the conversion rate from free trial to paying customer is 20%, then the hypothetical conversion value for each free trial signup would be $300 multiplied by 20%, which equals $60. This takes into account the number of free trial users who eventually become paying customers.

    So the formula for hypothetical conversion value looks like this :

    Hypothetical conversion value formula

    Hypothetical conversion value = (Average revenue per paying customer) × (Conversion rate)

    Using the values from our example :

    Hypothetical conversion value = $300 × 20% = $60

    The most important ecommerce metrics and how to track them

    There are dozens of ecommerce metrics you could track, but here are seven of the most important. 

    Conversion rate

    Conversion rate is the percentage of visitors who take a desired action. It is arguably one of the most important ecommerce metrics and a great top-level indicator of the success of your marketing efforts. 

    You can measure the conversion rate of anything, including newsletter signups, ebook downloads, and product purchases, using the following formula :

    Conversion rate

    Conversion rate = (Number of people who took action / Total number of visitors) × 100

    You usually won’t have to manually calculate your conversion rate, though. Almost every web analytics or ad platform will track the conversion rate automatically.

    Matomo, for instance, automatically tracks any conversion you set in the Goals report.

    A screenshot of Matomo's Goals report

    As you can see in the screenshot, your site’s conversions are plotted over a period of time and the conversion rate is tracked below the graph. You can change the time period to see how your conversion rate fluctuates.

    If you want to go even further, track your new visitor conversion rate to see how engaging your site is to first-time visitors. 

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    Cost per acquisition

    Cost per acquisition (CPA) is the average cost of acquiring a new user. You can calculate your overall CPA or you can break CPA down by email campaign, traffic source, or any other criteria. 

    Calculate CPA by dividing your total marketing cost by the number of new users you acquire.

    Cost per acquisition = Total marketing cost / Number of customers acquired

    CPA = Total marketing cost​ / Number of new users acquired 

    So if your Google Ads campaign costs €1,000 and you acquire 100 new users, your CPA is €10 (1000/100=10).

    It’s important to note that CPA is not the same as customer acquisition cost. Customer acquisition cost considers the number of paying customers. CPA looks at the number of users taking a certain action, like subscribing to a newsletter, making a purchase, or signing up for a free trial.

    Cost per acquisition is a direct measure of your marketing efforts’ effectiveness, especially when comparing CPA to average customer spend and return on ad spend. 

    If your CPA is higher than the average customer spend, your marketing campaign is profitable. If not, then you can look at ways to either increase customer spend or decrease your cost per acquisition.

    Customer lifetime value

    Customer lifetime value (CLV) is the average amount of money a customer will spend with your ecommerce brand over their lifetime. 

    Customer value is the total worth of a customer to your brand based on their purchasing behaviour. To calculate it, multiply the average purchase value by the average number of purchases. For instance, if the average purchase value is €50 and customers make 5 purchases on average, the customer value would be €250.

    Use this formula to calculate customer value :

    Customer value = Average purchase value × Average number of purchases

    Customer value = Average purchase value × Average number of purchases

    Then you can calculate customer lifetime value using the following formula :

    Customer lifetime value = Customer value * Average customer lifespan

    CLV = Customer value × Average customer lifespan

    In another example, let’s say you have a software company and customers pay you €500 per year for an annual subscription. If the average customer lifespan is 5 years, then the Customer Lifetime Value (CLV) would be €2,500.

    Customer lifetime value = €500 × 5 = €2,500

    Knowing how much potential customers are likely to spend helps you set accurate marketing budgets and optimise the price of your products. 

    Return on investment

    Return on investment (ROI) is the amount of revenue your marketing efforts generate compared to total spend. 

    It’s usually calculated as a percentage using the following formula :

    Return On Investment = (Revenue / Total Spend) x 100

    ROI = (Revenue / Total spend) × 100

    If you spend €1,000 on a paid ad campaign and your efforts bring in €5,000, then your ROI is 500% (5,000/1,000 × 100).

    With a web analytics tool like Matomo, you can quickly see the revenue generated from each traffic source and you can drill down further to compare different social media channels, search engines, referral websites and campaigns to get more granular view. 

    Revenue by channel in Matomo

    In the example above in Matomo’s Marketing Attribution feature, we can see that social networks are generating the highest amount of revenue in the year. To calculate ROI, we would need to compare the amount of investment to each channel. 

    Let’s say we invested $1,000 per year in search engine optimisation and content marketing, the return on investment (ROI) stands at approximately 2576%, based on a revenue of $26,763.48 per year. 

    Conversely, for organic social media campaigns, where $5,000 was invested and revenue amounted to $71,180.22 per year, the ROI is approximately 1323%. 

    Despite differences in revenue generation, both channels exhibit significant returns on investment, with SEO and content marketing demonstrating a much higher ROI compared to organic social media campaigns. 

    With that in mind, we might want to consider shifting our marketing budget to focus more on search engine optimisation and content marketing as it’s a greater return on investment.

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    Return on ad spend

    Return on ad spend (ROAS) is similar to return on investment, but it measures the profitability of a specific ad or campaign.

    Calculate ROAS using the following formula :

    Return on ad Spend = revenue / ad cost

    ROAS = Revenue / Ad cost 

    A positive ROAS means you are making money. If you generate €3 for every €1 you spend on advertising, for example, there’s no reason to turn off that campaign. If you only make €1 for every €2 you spend, however, then you need to shut down the campaign or optimise it. 

    Bounce rate

    Bounce rate is the percentage of visitors who leave your site without taking another action. Calculate it using the following formula :

    Bounce rate = (Number of visitors who bounce / Total number of visitors) * 100

    Bounce rate = (Number of visitors who bounce / Total number of visitors) × 100

    Some portion of users will always leave your site immediately, but you should aim to make your bounce rate as low as possible. After all, every customer that bounces is a missed opportunity that you may never get again. 

    You can check the bounce rate for each one of your site’s pages using Matomo’s page analytics report. Web analytics tools like Google Analytics can track bounce rates for online stores also. 

    A screenshot of Matomo's page view report A screenshot of Matomo's page view report

    Bounce rate is calculated automatically. You can sort the list of pages by bounce rate allowing you to prioritise your optimisation efforts. 

    Don’t stop there, though. Explore bounce rate further by comparing your mobile bounce rate vs. desktop bounce rate by segmenting your traffic. This will highlight whether your mobile site needs improving. 

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    Click-through rate

    Your clickthrough rate (CTR) tells you the number of people who click on your ads as a percentage of total impressions. You can calculate it by dividing the number of clicks your ad gets by the total number of times people see it. 

    So the formula looks like this :

    Click-through Rate = (Number of clicks / Total impressions) × 100

    CTR (%) = (Number of clicks / Total impressions​) × 100

    If an ad gets 1,000 impressions and 10 people click on it, then the CTR will be 10/1,000 × 100 = 1%

    You don’t usually need to calculate your clickthrough rate manually, however. Most ad platforms like Google Ads will automatically calculate CTR.

    What is considered a good ecommerce sales conversion rate ?

    This question is so broad it’s almost impossible to answer. The thing is, sales conversion rates vary massively depending on the conversion event and the industry. A good conversion rate in one industry might be terrible in another. 

    That being said, research shows that the average website conversion rate across all industries is 2.35%. Of course, some websites convert much better than this. The same study found that the top 25% of websites across all industries have a conversion rate of 5.31% or higher. 

    How can you improve your conversion rate ?

    Ecommerce metrics don’t just let you track your campaign’s ROI, they help you identify ways to improve your campaign. 

    Use these five tips to start improving your marketing campaign’s conversion rates today :

    Run A/B tests

    The most effective way to improve almost all of the ecommerce metrics you track is to test, test, and test again.

    A/B testing or multivariate testing compares two different versions of the same content, such as a landing page or blog post. Seeing which version performs better can help you squeeze as many conversions as possible from your website and ad campaigns. But only if you test as many things as possible. This should include :

    • Ad placement
    • Ad copy
    • CTAs
    • Headlines
    • Straplines
    • Colours
    • Design

    To create and analyse tests and their results effectively, you’ll need either an A/B testing platform or a web analytics solution like Matomo, which offers one out of the box.

    A/B testing in Matomo analytics

    Matomo’s A/B Testing feature makes it easy to create and track tests over time, breaking down each test’s variations by the metrics that matter. It automatically calculates statistical significance, too, meaning you can be sure you’re making a change for the better. 

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