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  • Submit enhancements and plugins

    13 avril 2011

    If you have developed a new extension to add one or more useful features to MediaSPIP, let us know and its integration into the core MedisSPIP functionality will be considered.
    You can use the development discussion list to request for help with creating a plugin. As MediaSPIP is based on SPIP - or you can use the SPIP discussion list SPIP-Zone.

  • Use, discuss, criticize

    13 avril 2011, par

    Talk to people directly involved in MediaSPIP’s development, or to people around you who could use MediaSPIP to share, enhance or develop their creative projects.
    The bigger the community, the more MediaSPIP’s potential will be explored and the faster the software will evolve.
    A discussion list is available for all exchanges between users.

  • MediaSPIP Player : problèmes potentiels

    22 février 2011, par

    Le lecteur ne fonctionne pas sur Internet Explorer
    Sur Internet Explorer (8 et 7 au moins), le plugin utilise le lecteur Flash flowplayer pour lire vidéos et son. Si le lecteur ne semble pas fonctionner, cela peut venir de la configuration du mod_deflate d’Apache.
    Si dans la configuration de ce module Apache vous avez une ligne qui ressemble à la suivante, essayez de la supprimer ou de la commenter pour voir si le lecteur fonctionne correctement : /** * GeSHi (C) 2004 - 2007 Nigel McNie, (...)

Sur d’autres sites (11021)

  • Cohort Analysis 101 : How-To, Examples & Top Tools

    13 novembre 2023, par Erin — Analytics Tips

    Imagine that a farmer is trying to figure out why certain hens are laying large brown eggs and others are laying average-sized white eggs.

    The farmer decides to group the hens into cohorts based on what kind of eggs they lay to make it easier to detect patterns in their day-to-day lives. After careful observation and analysis, she discovered that the hens laying big brown eggs ate more than the roost’s other hens.

    With this cohort analysis, the farmer deduced that a hen’s body weight directly corresponds to egg size. She can now develop a strategy to increase the body weight of her hens to sell more large brown eggs, which are very popular at the weekly farmers’ market.

    Cohort analysis has a myriad of applications in the world of web analytics. Like our farmer, you can use it to better understand user behaviour and reap the benefits of your efforts. This article will discuss the best practices for conducting an effective cohort analysis and compare the top cohort analysis tools for 2024. 

    What is cohort analysis ?

    By definition, cohort analysis refers to a technique where users are grouped based on shared characteristics or behaviours and then examined over a specified period.

    Think of it as a marketing superpower, enabling you to comprehend user behaviours, craft personalised campaigns and allocate resources wisely, ultimately resulting in improved performance and better ROI.

    Why does cohort analysis matter ?

    In web analytics, a cohort is a group of users who share a certain behaviour or characteristic. The goal of cohort analysis is to uncover patterns and compare the performance and behaviour of different cohorts over time.

    An example of a cohort is a group of users who made their first purchase during the holidays. By analysing this cohort, you could learn more about their behaviour and buying patterns. You may discover that this cohort is more likely to buy specific product categories as holiday gifts — you can then tailor future holiday marketing campaigns to include these categories. 

    Types of cohort analysis

    There are a few different types of notable cohorts : 

    1. Time-based cohorts are groups of users categorised by a specific time. The example of the farmer we went over at the beginning of this section is a great example of a time-based cohort.
    2. Acquisition cohorts are users acquired during a specific time frame, event or marketing channel. Analysing these cohorts can help you determine the value of different acquisition methods. 
    3. Behavioural cohorts consist of users who show similar patterns of behaviour. Examples include frequent purchases with your mobile app or digital content engagement. 
    4. Demographic cohorts share common demographic characteristics like age, gender, education level and income. 
    5. Churn cohorts are buyers who have cancelled a subscription/stopped using your service within a specific time frame. Analysing churn cohorts can help you understand why customers leave.
    6. Geographic cohorts are pretty self-explanatory — you can use them to tailor your marketing efforts to specific regions. 
    7. Customer journey cohorts are based on the buyer lifecycle — from acquisition to adoption to retention. 
    8. Product usage cohorts are buyers who use your product/service specifically (think basic users, power users or occasional users). 

    Best practices for conducting a cohort analysis 

    So, you’ve decided you want to understand your user base better but don’t know how to go about it. Perhaps you want to reduce churn and create a more engaging user experience. In this section, we’ll walk you through the dos and don’ts of conducting an effective cohort analysis. Remember that you should tailor your cohort analysis strategy for organisation-specific goals.

    A line graph depicting product usage cohort data with a blue line for new users and a green line for power users.

    1. Preparing for cohort analysis : 

      • First, define specific goals you want your cohort analysis to achieve. Examples include improving conversion rates or reducing churn.
      • Choosing the right time frame will help you compare short-term vs. long-term data trends. 

    2. Creating effective cohorts : 

      • Define your segmentation criteria — anything from demographics to location, purchase history or user engagement level. Narrowing in on your specific segments will make your cohort analysis more precise. 
      • It’s important to find a balance between cohort size and similarity. If your cohort is too small and diverse, you won’t be able to find specific behavioural patterns.

    3. Performing cohort analysis :

        • Study retention rates across cohorts to identify patterns in user behaviour and engagement over time. Pay special attention to cohorts with high retention or churn rates. 
        • Analysing cohorts can reveal interesting behavioural insights — how do specific cohorts interact with your website ? Do they have certain preferences ? Why ? 

    4. Visualising and interpreting data :

      • Visualising your findings can be a great way to reveal patterns. Line charts can help you spot trends, while bar charts can help you compare cohorts.
      • Guide your analytics team on how to interpret patterns in cohort data. Watch for sudden drops or spikes and what they could mean. 

    5. Continue improving :

      • User behaviour is constantly evolving, so be adaptable. Continuous tracking of user behaviour will help keep your strategies up to date. 
      • Encourage iterative analysis optimisation based on your findings. 
    wrench trying to hammer in a nail, and a hammer trying to screw in a screw to a piece of wood

    The top cohort analysis tools for 2024

    In this section, we’ll go over the best cohort analysis tools for 2024, including their key features, cohort analysis dashboards, cost and pros and cons.

    1. Matomo

    A screenshot of a cohorts graph in Matomo

    Matomo is an open-source, GDPR-compliant web analytics solution that offers cohort analysis as a standard feature in Matomo Cloud and is available as a plugin for Matomo On-Premise. Pairing traditional web analytics with cohort analysis will help you gain even deeper insights into understanding user behaviour over time. 

    You can use the data you get from web analytics to identify patterns in user behaviour and target your marketing strategies to specific cohorts. 

    Key features

    • Matomo offers a cohorts table that lets you compare cohorts side-by-side, and it comes with a time series.
      • All core session and conversion metrics are also available in the Cohorts report.
    • Create custom segments based on demographics, geography, referral sources, acquisition date, device types or user behaviour. 
    • Matomo provides retention analysis so you can track how many users from a specific cohort return to your website and when. 
    • Flexibly analyse your cohorts with custom reports. Customise your reports by combining metrics and dimensions specific to different cohorts. 
    • Create cohorts based on events or interactions with your website. 
    • Intuitive, colour-coded data visualisation, so you can easily spot patterns.

    Pros

    • No setup is needed if you use the JavaScript tracker
    • You can fetch cohort without any limit
    • 100% accurate data, no AI or Machine Learning data filling, and without the use of data sampling

    Cons

    • Matomo On-Premise (self-hosted) is free, but advanced features come with additional charges
    • Servers and technical know-how are required for Matomo On-Premise. Alternatively, for those not ready for self-hosting, Matomo Cloud presents a more accessible option and starts at $19 per month.

    Price : 

    • Matomo Cloud : 21-day free trial, then starts at $19 per month (includes Cohorts).
    • Matomo On-Premise : Free to self-host ; Cohorts plugin : 30-day free trial, then $99 per year.

    2. Mixpanel

    Mixpanel is a product analytics tool designed to help teams better understand user behaviour. It is especially well-suited for analysing user behaviour on iOS and Android apps. It offers various cohort analytics features that can be used to identify patterns and engage your users. 

    Key features

    • Create cohorts based on criteria such as sign-up date, first purchase date, referral source, geographic location, device type or another custom event/property. 
    • Compare how different cohorts engage with your app with Mixpanel’s comparative analysis features.
    • Create interactive dashboards, charts and graphs to visualise data.
    • Mixpanel provides retention analysis tools to see how often users return to your product over time. 
    • Send targeted messages and notifications to specific cohorts to encourage user engagement, announce new features, etc. 
    • Track and analyse user behaviours within cohorts — understand how different types of users engage with your product.

    Pros

    • Easily export cohort analysis data for further analysis
    • Combined with Mixpanel reports, cohorts can be a powerful tool for improving your product

    Cons

    • With the free Mixpanel plan, you can’t save cohorts for future use
    • Enterprise-level pricing is expensive
    • Time-consuming cohort creation process

    Price : Free basic version. The growth version starts at £16/month.

    3. Amplitude

    A screenshot of a cohorts graph in Amplitude

    Amplitude is another product analytics solution that can help businesses track user interactions across digital platforms. Amplitude offers a standard toolkit for in-depth cohort analysis.

    Key features

    • Create cohorts based on criteria such as sign-up date, first purchase date, referral source, geographic location, device type or another custom event/property. 
    • Conduct behavioural, time-based and retention analyses.
    • Create custom reports with custom data.
    • Segment cohorts further based on additional criteria and compare multiple cohorts side-by-side.

    Pros

    • Highly customisable and flexible
    • Quick and simple setup

    Cons

    • Steep learning curve — requires significant training 
    • Slow loading speed
    • High price point compared to other tools

    Price : Free basic version. Plus version starts at £40/month (billed annually).

    4. Kissmetrics

    A screenshot of a cohorts graph in Kissmetrics

    Kissmetrics is a customer engagement automation platform that offers powerful analytics features. Kissmetrics provides behavioural analytics, segmentation and email campaign automation. 

    Key features

    • Create cohorts based on demographics, user behaviour, referral sources, events and specific time frames.
    • The user path tool provides path visualisation so you can identify common paths users take and spot abandonment points. 
    • Create and optimise conversion funnels.
    • Customise events, user properties, funnels, segments, cohorts and more.

    Pros

    • Powerful data visualisation options
    • Highly customisable

    Cons

    • Difficult to install
    • Not well-suited for small businesses
    • Limited integration with other tools

    Price : Starting at £21/month for 10k events (billed monthly).

    Improve your cohort analysis with Matomo

    When choosing a cohort analysis tool, consider factors such as the tool’s ease of integration with your existing systems, data accuracy, the flexibility it offers in defining cohorts, the comprehensiveness of reporting features, and its scalability to accommodate the growth of your data and analysis needs over time. Moreover, it’s essential to confirm GDPR compliance to uphold rigorous privacy standards. 

    If you’re ready to understand your user’s behaviour, take Matomo for a test drive. Paired with web analytics, this powerful combination can advance your marketing efforts. Start your 21-day free trial today — no credit card required.

  • A Comprehensive Guide to Robust Digital Marketing Analytics

    30 octobre 2023, par Erin

    First impressions are everything. This is not only true for dating and job interviews but also for your digital marketing strategy. Like a poorly planned resume getting tossed in the “no thank you” pile, 38% of visitors to your website will stop engaging with your content if they find the layout unpleasant. Thankfully, digital marketers can access data that can be harnessed to optimise websites and turn those “no thank you’s” into “absolutely’s.”

    So, how can we transform raw data into valuable insights that pay off ? The key is web analytics tools that can help you make sense of it all while collecting data ethically. In this article, we’ll equip you with ways to take your digital marketing strategy to the next level with the power of web analytics.

    What are the different types of digital marketing analytics ?

    Digital marketing analytics are like a cipher into the complex behaviour of your buyers. Digital marketing analytics help collect, analyse and interpret data from any touchpoint you interact with your buyers online. Whether you’re trying to gauge the effectiveness of a new email marketing campaign or improve your mobile app layout, there’s a way for you to make use of the insights you gain. 

    As we go through the eight commonly known types of digital marketing analytics, please note we’ll primarily focus on what falls under the umbrella of web analytics. 

    1. Web analytics help you better understand how users interact with your website. Good web analytics tools will help you understand user behaviour while securely handling user data. 
    2. Learn more about the effectiveness of your organisation’s social media platforms with social media analytics. Social media analytics include user engagement, post reach and audience demographics. 
    3. Email marketing analytics help you see how email campaigns are being engaged with.
    4. Search engine optimisation (SEO) analytics help you understand your website’s visibility in search engine results pages (SERPs). 
    5. Pay-per-click (PPC) analytics measure the performance of paid advertising campaigns.
    6. Content marketing analytics focus on how your content is performing with your audience. 
    7. Customer analytics helps organisations identify and examine buyer behaviour to retain the biggest spenders. 
    8. Mobile app analytics track user interactions within mobile applications. 

    Choosing which digital marketing analytics tools are the best fit for your organisation is not an easy task. When making these decisions, it’s critical to remember the ethical implications of data collection. Although data insights can be invaluable to your organisation, they won’t be of much use if you lose the trust of your users. 

    Tips and best practices for developing robust digital marketing analytics 

    So, what separates top-notch, robust digital marketing analytics from the rest ? We’ve already touched on it, but a big part involves respecting user privacy and ethically handling data. Data security should be on your list of priorities, alongside conversion rate optimisation when developing a digital marketing strategy. In this section, we will examine best practices for using digital marketing analytics while retaining user trust.

    Lightbulb with a target in the center being struck by arrows

    Clear objectives

    Before comparing digital marketing analytics tools, you should define clear and measurable goals. Try asking yourself what you need your digital marketing analytics strategy to accomplish. Do you want to improve conversion rates while remaining data compliant ? Maybe you’ve noticed users are not engaging with your platform and want to fix that. Save yourself time and energy by focusing on the most relevant pain points and areas of improvement.

    Choose the right tools for the job

    Don’t just base your decision on what other people tell you. Take the tool for a test drive — free trials allow you to test features and user interfaces and learn more about the platform before committing. When choosing digital marketing analytics tools, look for ones that ensure compliance with privacy laws like GDPR.

    Don’t overlook data compliance

    GDPR ensures organisations prioritise data protection and privacy. You could be fined up to €20 million, or 4% of the previous year’s revenue for violations. Without data compliance practices, you can say goodbye to the time and money spent on digital marketing strategies. 

    Don’t sacrifice data quality and accuracy

    Inaccurate and low-quality data can taint your analysis, making it hard to glean valuable insights from your digital marketing analytics efforts. Regularly audit and clean your data to remove inaccuracies and inconsistencies. Address data discrepancies promptly to maintain the integrity of your analytics. Data validation measures also help to filter out inaccurate data.

    Communicate your findings

    Having insights is one thing ; effectively communicating complex data findings is just as important. Customise dashboards to display key metrics aligned with your objectives. Make sure to automate reports, allowing stakeholders to stay updated without manual intervention. 

    Understand the user journey

    To optimise your conversion rates, you need to understand the user journey. Start by analysing visitors interactions with your website — this will help you identify conversion bottlenecks in your sales or lead generation processes. Implement A/B testing for landing page optimisation, refining elements like call-to-action buttons or copy, and leverage Form Analytics to make informed, data-driven improvements to your forms.

    Continuous improvement

    Learn from the data insights you gain, and iterate your marketing strategies based on the findings. Stay updated with evolving web analytics trends and technologies to leverage new growth opportunities.

    Why you need web analytics to support your digital marketing analytics toolbox

    You wouldn’t set out on a roadtrip without a map, right ? Digital marketing analytics without insights into how users interact with your website are just as useless. Used ethically, web analytics tools can be an invaluable addition to your digital marketing analytics toolbox. 

    The data collected via web analytics reveals user interactions with your website. These could include anything from how long visitors stay on your page to their actions while browsing your website. Web analytics tools help you gather and understand this data so you can better understand buyer preferences. It’s like a domino effect : the more you understand your buyers and user behaviour, the better you can assess the effectiveness of your digital content and campaigns. 

    Web analytics reveal user behaviour, highlighting navigation patterns and drop-off points. Understanding these patterns helps you refine website layout and content, improving engagement and conversions for a seamless user experience.

    Magnifying glass examining various screens that contain data

    Concrete CMS harnessed the power of web analytics, specifically Form Analytics, to uncover a crucial insight within their user onboarding process. Their data revealed a significant issue : the “address” input field was causing visitors to drop off and not complete the form, severely impacting the overall onboarding experience and conversion rate.

    Armed with these insights, Concrete CMS made targeted optimisations to the form, resulting in a substantial transformation. By addressing the specific issue identified through Form Analytics, they achieved an impressive outcome – a threefold increase in lead generation.

    This case is a great example of how web analytics can uncover customer needs and preferences and positively impact conversion rates. 

    Ethical implications of digital marketing analytics

    As we’ve touched on, digital marketing analytics are a powerful tool to help better understand online user behaviour. With great power comes great responsibility, however, and it’s a legal and ethical obligation for organisations to protect individual privacy rights. Let’s get into the benefits of practising ethical digital marketing analytics and the potential risks of not respecting user privacy : 

    • If someone uses your digital platform and then opens their email one day to find it filled with random targeted ad campaigns, they won’t be happy. Avoid losing user trust — and facing a potential lawsuit — by informing users what their data will be used for. Give them the option to consent to opt-in or opt-out of letting you use their personal information. If users are also assured you’ll safeguard personal information against unauthorised access, they’ll be more likely to trust you to handle their data securely.
    • Protecting data against breaches means investing in technology that will let you end-to-end encrypt and securely store data. Other important data-security best practices include access control, backing up data regularly and network and physical security of assets.
    • A fine line separates digital marketing analytics and misusing user data — many companies have gotten into big trouble for crossing it. (By big trouble, we mean millions of dollars in fines.) When it comes to digital marketing analytics, you should never cut corners when it comes to user privacy and data security. This balance involves understanding what data can be collected and what should be collected and respecting user boundaries and preferences.

    Learn more 

    We discussed a lot of facets of digital marketing analytics, namely how to develop a robust digital marketing strategy while prioritising data compliance. With Matomo, you can protect user data and respect user privacy while gaining invaluable insights into user behaviour. Save your organisation time and money by investing in a web analytics solution that gives you the best of both worlds. 

    If you’re ready to begin using ethical and robust digital marketing analytics on your website, try Matomo. Start your 21-day free trial now — no credit card required.

  • 5-Step Conversion Rate Optimisation Checklist

    27 octobre 2023, par Erin

    Did you know the average conversion rate across e-commerce businesses in August 2023 was 2.03% ? In the past year, conversion rates have increased by 0.39%.

    Make no mistake. Just because conversion rates are higher this year doesn’t make it any easier to convert visitors.

    Cracking the secrets to improving conversion rates is crucial to running a successful website or business.

    Your site is the digital headquarters all of your marketing efforts funnel toward. With every visitor comes an opportunity to convert them into a lead (or sale).

    Keep reading if you want to improve your lead generation or convert more visitors into customers. In this article, we’ll break down a simple five-step conversion rate optimisation checklist you need to follow to maximise your conversions.

    What is conversion rate optimisation ?

    Before we dive into the steps you need to follow to optimise your conversions, let’s back up and talk conversion rate optimisation.

    Conversion rate optimisation, or CRO for short, is the process of increasing the number of website visitors who take a specific action. 

    In most cases, this means :

    • Turning more visitors into leads by getting them to join an email list
    • Convincing a visitor to fill out a contact form for a consultation
    • Converting a visitor into a paying customer by purchasing a product

    However, conversion rate optimisation can be used for any action you want someone to take on your site. That could be downloading a free guide, clicking on a specific link, commenting on a blog post or sharing your website with a friend.

    Why following a CRO checklist is important

    Conversion rate optimisation is both a valuable practice and an absolute necessity for any business or marketer. While it can be a bit complex, especially when you start diving into A/B testing, there are a variety of advantages :

    Get the most out of your efforts

    When all is said and done, if you can’t convert the traffic already coming to your site, dumping a ton of time and resources into traffic generation (whether paid or organic) won’t solve your problem.

    Instead, you need to look at the root of the problem : your conversion rate.

    By doubling down on conversions and following a conversion rate optimisation checklist, you’ll get the greatest result for the effort you’re already putting into your site.

    Increase audience size

    To increase your audience size, you need to increase your traffic, right ? Not exactly.

    While your audience may be considered people who have seen your content or follow you on social media, a high-value audience is one you can market to directly on an ongoing basis.

    Your website gives you the playground to convert visitors into high-value audience members. This is done by creating conversion-focused email signup forms and optimising your website for sale conversions.

    Generate more sales

    Boosting sales through CRO is the core objective. By optimising product pages, simplifying the checkout process, and employing persuasive strategies, you can systematically increase your sales and maximise the value of your existing traffic.

    Reduce customer acquisition costs (CAC)

    With conversion optimisation, you can convert a higher percentage of your website visitors into paid customers. Even if you don’t spend more on acquiring new customers, you’ll be able to generate more sales overall. 

    The result is that your customer acquisition costs will drop, allowing you to increase your total acquisitions to your customer base.

    Improve profitability

    While reduced customer acquisition costs mean you can pour more money into customer acquisition at a cheaper rate, you could simply maintain your costs while driving sales, resulting in increased profitability.

    If you can spend the same amount on acquisition but bring in 20% more customers (due to using a CRO checklist), your profit margins will automatically increase.

    5-step CRO checklist

    To double down on conversion rate optimisation, you need to follow a checklist to ensure you don’t miss any major optimisation opportunities.

    The checklist below is designed to help you systematically optimise your website, ensuring you make the most of your traffic by continuously refining its performance.

    1. Forms

    Analysing and optimising your website’s forms is crucial for enhancing conversion rates. Understanding how visitors interact with your forms can uncover pain points and help you streamline the conversion process.

    Ever wonder where your visitors drop off on your forms ? It could be due to lengthy, time-consuming fields or overly complex forms, leading to a frustrating user experience and lower conversion rate. Whatever the reason, you need the right tools to uncover the root of the issue.

    By leveraging Form Analytics, you gain powerful insights into user behaviour and can identify areas where people may encounter difficulties.

    Form Analytics provides the insights to discover :

    • Average time spent on each field : This metric helps you understand where users may be struggling or spending too much time. By optimising these fields, you can streamline the form, reduce user frustration and increase conversions.
    • Identifying drop-off points : Understanding where users drop off provides insights into which form fields may need improvement. Addressing these drop-off points can increase the conversion rate.
    • Unneeded fields with a high blank submission rate : Discovering fields left blank upon submission can highlight areas for simplification. By eliminating unnecessary fields, you can create more concise and user-friendly forms that may entice more visitors to engage with the form.

    Hear first-hand how Concrete CMS achieve 3x more leads with insights from Form Analytics. 

    These data-driven insights empower you to optimise your forms, remove guesswork and settle debates about form design. By fine-tuning and streamlining your forms, you can ensure a smoother path to conversion and maximise your success in converting more visitors.

    Try Matomo for Free

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

    No credit card required

    2. Copywriting

    Another crucial element you need to test is your copywriting. Your copywriting is the foundation of your entire website. It helps communicate to your audience what you have to offer and why they need to take action.

    You need to ensure you have a good offer. This isn’t just the product or service you’re putting out there. It’s the complete package. It includes the product, rewards, a unique guarantee, customer service, packaging and promotions.

    Start testing your copy with your headlines. Look at the headers and test different phrases to convert more potential customers into paying customers.

    Here are a few tips to optimise your copy for more conversions :

    • Ensure copy is relevant to your headline and vice versa.
    • Write short words, short sentences and short paragraphs.
    • Use bullets and subheaders to make the copy easy to skim.
    • Don’t focus too heavily on optimising for search engines (SEO). Instead, write for humans.
    • Focus on writing about benefits, not features.
    • Write about how your offer solves the pain points of your audience.

    You can test your copy in several areas once you’ve begun testing your headers – your subheaders, body copy, signup forms and product pages (if you’re e-commerce).

    3. Media : videos and audio

    Next, testing out different media types is crucial. This means incorporating videos and audio into your content.

    Don’t just take a random guess by throwing stuff against the wall, hoping it sticks. Instead, you should use data to develop impactful content.

    Look at your Media Analytics reports in your website analytics solution and see what media people spend the most time on. See what kind of video or audio content already impacts conversions.

    Humans are highly visual. You should craft your content so it’s easy to digest. Instead of covering your website in huge chunks of text, split up your copy with engaging content like videos.

    High-quality videos and audio recordings allow your readers to consume more of your content easily, and help persuade them to take action on your site.

    4. Calls to action (CTA)

    This brings us to our next point : your call to action (CTA).

    Are you trying to convert more prospects into leads ? Want to turn more leads into customers ? Trying to get more email subscribers ? Or do you want to generate more sales every month ?

    You could write the most compelling offer flooded with beautiful images, videos and CRO tactics. But your efforts will go to waste if you don’t include a compelling CTA.

    An example of a CTA

    Here are a few tips to optimise your CTAs :

    • Keep them congruent on a single web page (e.g., don’t sell a hat and a sweater on the same page, as it can be confusing).
    • Place at least one CTA above the fold on your web pages.
    • Include benefits in your CTA. Rather than “Buy Now,” try “Buy Now to Get 30% Off.”
    • It’s better to be clear and concise than too fancy and unique.

    Optimising your call to action isn’t just about your copywriting. It’s also about design. Test different fonts, sizes, and visual elements like borders, icons and background colours.

    5. Web design

    Your site design will impact how well your visitors convert. You could have incredible copywriting, but if your site is laid out poorly, it will drive people away.

    You must ensure your copy and visual content fit your website design well.

    The first place you need to start with your site is your homepage design.

    Your site design consists of the theme or template, colour scheme and other visual elements that can be optimised to improve conversions.

    Here are a few tips to keep in mind when optimising your website design :

    • Use a colour scheme that’s pleasant rather than too distracting or extreme.
    • Ensure your design doesn’t remove the text’s clarity but makes it easier to read.
    • When in doubt, start with black text on a white background (the opposite rarely works).
    • Keep plenty of whitespace in between design elements.
    • When in doubt about font size, start by testing a larger size.
    • Design mobile-first rather than desktop-first.

    Finally, it’s critical to ensure your website is easy to navigate. Good design is all about the user experience. Is it easy to find what they’re looking for ? Simplify steps to reduce the need to click, and your conversions will increase.

    Start optimising your website for conversions

    If you’re looking to get the most out of the traffic on your site by converting more visitors into leads or customers, following this 5-step CRO checklist will help you take steps in the right direction.

    Just remember conversion rate optimisation is an ongoing process. It’s not a one-time deal. To succeed, you need to test quickly, analyse the impact and do more of what’s working and less of what’s not.

    To optimise your website for better conversion rates, you need the right tools that provide accurate data and insights to effectively increase conversions. With Matomo, you gain access to web analytics and CRO features like Form Analytics and Media Analytics, designed to enhance your conversion rate optimisation efforts. 

    Try Matomo free for 21 days and take your conversion rate to the next level. No credit card required.