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  • MediaSPIP v0.2

    21 juin 2013, par

    MediaSPIP 0.2 est la première version de MediaSPIP stable.
    Sa date de sortie officielle est le 21 juin 2013 et est annoncée ici.
    Le fichier zip ici présent contient uniquement les sources de MediaSPIP en version standalone.
    Comme pour la version précédente, il est nécessaire d’installer manuellement l’ensemble des dépendances logicielles sur le serveur.
    Si vous souhaitez utiliser cette archive pour une installation en mode ferme, il vous faudra également procéder à d’autres modifications (...)

  • Mise à disposition des fichiers

    14 avril 2011, par

    Par défaut, lors de son initialisation, MediaSPIP ne permet pas aux visiteurs de télécharger les fichiers qu’ils soient originaux ou le résultat de leur transformation ou encodage. Il permet uniquement de les visualiser.
    Cependant, il est possible et facile d’autoriser les visiteurs à avoir accès à ces documents et ce sous différentes formes.
    Tout cela se passe dans la page de configuration du squelette. Il vous faut aller dans l’espace d’administration du canal, et choisir dans la navigation (...)

  • MediaSPIP version 0.1 Beta

    16 avril 2011, par

    MediaSPIP 0.1 beta est la première version de MediaSPIP décrétée comme "utilisable".
    Le fichier zip ici présent contient uniquement les sources de MediaSPIP en version standalone.
    Pour avoir une installation fonctionnelle, il est nécessaire d’installer manuellement l’ensemble des dépendances logicielles sur le serveur.
    Si vous souhaitez utiliser cette archive pour une installation en mode ferme, il vous faudra également procéder à d’autres modifications (...)

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  • 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.

  • Is Google Analytics Accurate ? 6 Important Caveats

    8 novembre 2022, par Erin

    It’s no secret that accurate website analytics is crucial for growing your online business — and Google Analytics is often the go-to source for insights. 

    But is Google Analytics data accurate ? Can you fully trust the provided numbers ? Here’s a detailed explainer.

    How Accurate is Google Analytics ? A Data-Backed Answer 

    When properly configured, Google Analytics (Universal Analytics and Google Analytics 4) is moderately accurate for global traffic collection. That said : Google Analytics doesn’t accurately report European traffic. 

    According to GDPR provisions, sites using GA products must display a cookie consent banner. This consent is required to collect third-party cookies — a tracking mechanism for identifying users across web properties.

    Google Analytics (GA) cannot process data about the user’s visit if they rejected cookies. In such cases, your analytics reports will be incomplete.

    Cookie rejection refers to visitors declining or blocking cookies from ever being collected by a specific website (or within their browser). It immediately affects the accuracy of all metrics in Google Analytics.

    Google Analytics is not accurate in locations where cookie consent to tracking is legally required. Most consumers don’t like disruptive cookie banners or harbour concerns about their privacy — and chose to reject tracking. 

    This leaves businesses with incomplete data, which, in turn, results in : 

    • Lower traffic counts as you’re not collecting 100% of the visitor data. 
    • Loss of website optimisation capabilities. You can’t make data-backed decisions due to inconsistent reporting

    For the above reasons, many companies now consider cookieless website tracking apps that don’t require consent screen displays. 

    Why is Google Analytics Not Accurate ? 6 Causes and Solutions 

    A high rejection rate of cookie banners is the main reason for inaccurate Google Analytics reporting. In addition, your account settings can also hinder Google Analytics’ accuracy.

    If your analytics data looks wonky, check for these six Google Analytics accuracy problems. 

    You Need to Secure Consent to Cookies Collection 

    To be GDPR-compliant, you must display a cookie consent screen to all European users. Likewise, other jurisdictions and industries require similar measures for user data collection. 

    This is a nuisance for many businesses since cookie rejection undermines their remarketing capabilities. Hence, some try to maximise cookie acceptance rates with dark patterns. For example : hide the option to decline tracking or make the texts too small. 

    Cookie consent banner examples
    Banner on the left doesn’t provide an evident option to reject all cookies and nudges the user to accept tracking. Banner on the right does a better job explaining the purpose of data collection and offers a straightforward yes/no selection

    Sadly, not everyone’s treating users with respect. A joint study by German and American researchers found that only 11% of US websites (from a sample of 5,000+) use GDPR-compliant cookie banners.

    As a result, many users aren’t aware of the background data collection to which they have (or have not) given consent. Another analysis of 200,000 cookies discovered that 70% of third-party marketing cookies transfer user data outside of the EU — a practice in breach of GDPR.

    Naturally, data regulators and activities are after this issue. In April 2022, Google was pressured to introduce a ‘reject all’ cookies button to all of its products (a €150 million compliance fine likely helped with that). Whereas, noyb has lodged over 220 complaints against individual websites with deceptive cookie consent banners.

    The takeaway ? Messing up with the cookie consent mechanism can get you in legal trouble. Don’t use sneaky banners as there are better ways to collect website traffic statistics. 

    Solution : Try Matomo GDPR-Friendly Analytics 

    Fill in the gaps in your traffic analytics with Matomo – a fully GDPR-compliant product that doesn’t rely on third-party cookies for tracking web visitors. Because of how it is designed, the French data protection authority (CNIL) confirmed that Matomo can be used to collect data without tracking consent.

    With Matomo, you can track website users without asking for cookie consent. And when you do, we supply you with a compact, compliant, non-disruptive cookie banner design. 

    Your Google Tag Isn’t Embedded Correctly 

    Google Tag (gtag.js) is a web tracking script that sends data to your Google Analytics, Google Ads and Google Marketing Platform.

    A corrupted gtag.js installation can create two accuracy issues : 

    • Duplicate page tracking 
    • Missing script installation 

    Is there a way to tell if you’re affected ?

    Yes. You may have duplicate scripts installed if you have a very low bounce rate on most website pages (below 15% – 20%). The above can happen if you’re using a WordPress GA plugin and additionally embed gtag.js straight in your website code. 

    A tell-tale sign of a missing script on some pages is low/no traffic stats. Google alerts you about this with a banner : 

    Google Analytics alerts

    Solution : Use Available Troubleshooting Tools 

    Use Google Analytics Debugger extension to analyse pages with low bounce rates. Use the search bar to locate duplicate code-tracking elements. 

    Alternatively, you can use Google Tag Assistant for diagnosing snippet install and troubleshooting issues on individual pages. 

    If the above didn’t work, re-install your analytics script

    Machine Learning and Blended Data Are Applied

    Google Analytics 4 (GA4) relies a lot on machine learning and algorithmic predictions.

    By applying Google’s advanced machine learning models, the new Analytics can automatically alert you to significant trends in your data. [...] For example, it calculates churn probability so you can more efficiently invest in retaining customers.

    On the surface, the above sounds exciting. In practice, Google’s application of predictive algorithms means you’re not seeing actual data. 

    To offer a variation of cookieless tracking, Google algorithms close the gaps in reporting by creating models (i.e., data-backed predictions) instead of reporting on actual user behaviours. Therefore, your GA4 numbers may not be accurate.

    For bigger web properties (think websites with 1+ million users), Google also relies on data sampling — a practice of extrapolating data analytics, based on a data subset, rather than the entire dataset. Once again, this can lead to inconsistencies in reporting with some numbers (e.g., average conversion rates) being inflated or downplayed. 

    Solution : Try an Alternative Website Analytics App 

    Unlike GA4, Matomo reports consist of 100% unsampled data. All the aggregated reporting you see is based on real user data (not guesstimation). 

    Moreover, you can migrate from Universal Analytics (UA) to Matomo without losing access to your historical records. GA4 doesn’t yet have any backward compatibility.

    Spam and Bot Traffic Isn’t Filtered Out 

    Surprise ! 42% of all Internet traffic is generated by bots, of which 27.7% are bad ones.

    Good bots (aka crawlers) do essential web “housekeeping” tasks like indexing web pages. Bad bots distribute malware, spam contact forms, hack user accounts and do other nasty stuff. 

    A lot of such spam bots are designed specifically for web analytics apps. The goal ? Flood your dashboard with bogus data in hopes of getting some return action from your side. 

    Types of Google Analytics Spam :

    • Referral spam. Spambots hijack the referrer, displayed in your GA referral traffic report to indicate a page visit from some random website (which didn’t actually occur). 
    • Event spam. Bots generate fake events with free language entries enticing you to visit their website. 
    • Ghost traffic spam. Malicious parties can also inject fake pageviews, containing URLs that they want you to click. 

    Obviously, such spammy entities distort the real website analytics numbers. 

    Solution : Set Up Bot/Spam Filters 

    Google Analytics 4 has automatic filtering of bot traffic enabled for all tracked Web and App properties. 

    But if you’re using Universal Analytics, you’ll have to manually configure spam filtering. First, create a new view and then set up a custom filter. Program it to exclude :

    • Filter Field : Request URI
    • Filter Pattern : Bot traffic URL

    Once you’ve configured everything, validate the results using Verify this filter feature. Then repeat the process for other fishy URLs, hostnames and IP addresses. 

    You Don’t Filter Internal Traffic 

    Your team(s) spend a lot of time on your website — and their sporadic behaviours can impair your traffic counts and other website metrics.

    To keep your data “employee-free”, exclude traffic from : 

    • Your corporate IPs addresses 
    • Known personal IPs of employees (for remote workers) 

    If you also have a separate stage version of your website, you should also filter out all traffic coming from it. Your developers, contractors and marketing people spend a lot of time fiddling with your website. This can cause a big discrepancy in average time on page and engagement rates. 

    Solution : Set Internal Traffic Filters 

    Google provides instructions for excluding internal traffic from your reports using IPv4/IPv6 address filters. 

    Google Analytics IP filters

    Session Timeouts After 30 Minutes 

    After 30 minutes of inactivity, Google Analytics tracking sessions start over. Inactivity means no recorded interaction hits during this time. 

    Session timeouts can be a problem for some websites as users often pin a tab to check it back later. Because of this, you can count the same user twice or more — and this leads to skewed reporting. 

    Solution : Programme Custom Timeout Sessions

    You can codify custom cookie timeout sessions with the following code snippets : 

    Final Thoughts 

    Thanks to its scale and longevity, Google Analytics has some strong sides, but its data accuracy isn’t 100% perfect.

    The inability to capture analytics data from users who don’t consent to cookie tracking and data sampling applied to bigger web properties may be a deal-breaker for your business. 

    If that’s the case, try Matomo — a GDPR-compliant, accurate web analytics solution. Start your 21-day free trial now. No credit card required.

  • A Beginner’s Guide to Omnichannel Analytics

    14 avril 2024, par Erin

    Linear customer journeys are as obsolete as dial-up internet and floppy disks. As a marketing manager, you know better than anyone that customers interact with your brand hundreds of times across dozens of channels before purchasing. That can make tracking them a nightmare unless you build an omnichannel analytics solution. 

    Alas, if only it were that simple. 

    Unfortunately, it’s not enough to collect data on your customers’ complex journeys just by buying an omnichannel platform. You need to generate actionable insights by using marketing attribution to tie channels to conversions. 

    This article will explain how to build a useful omnichannel analytics solution that lets you understand and improve the customer journey.

    What is omnichannel analytics ?

    Omnichannel analytics collects and analyses customer data from every touchpoint and device. The goal is to collect all this omnichannel data in one place, creating a single, real-time, unified view of your customer’s journey.

    What is omnichannel analytics

    Unfortunately, most businesses haven’t achieved this yet. As Karen Lellouche Tordjman and Marco Bertini say :

    “Despite all the buzz around the concept of omnichannel, most companies still view customer journeys as a linear sequence of standardised touchpoints within a given channel. But the future of customer engagement transforms touchpoints from nodes along a predefined distribution path to full-blown portals that can serve as points of sale or pathways to many other digital and virtual interactions. They link to chatbots, kiosks, robo-advisors, and other tools that customers — especially younger ones — want to engage with.”

    However, doing so is more important than ever — especially when consumers have over 300 digital touchpoints, and the average number of touchpoints in the B2B buyer journey is 27.

    Not only that, but customers expect personalised experiences across every platform — that’s the kind you can only create when you have access to omnichannel data.

    A diagram showing how complex customer journeys are

    What might omnichannel analytics look like in practice for an e-commerce store ?

    An online store would integrate data from channels like its website, mobile app, social media accounts, Google Ads and customer service records. This would show how customers find its brand, how they use each channel to interact with it and which channels convert the most customers. 

    This would allow the e-commerce store to tailor marketing channels to customers’ needs. For instance, they could focus social media use on product discovery and customer support. Google Ads campaigns could target the best-converting products. While all this is happening, the store could also ensure every channel looks the same and delivers the same experience. 

    What are the benefits of omnichannel analytics ?

    Why go to all the trouble of creating a comprehensive view of the customer’s experience ? Because you stand to gain some pretty significant benefits when implementing omnichannel analytics.

    What are the benefits of omnichannel analytics?

    Understand the customer journey

    You want to understand how your customers behave, right ? No other method will allow you to fully understand your customer journey the way omnichannel analytics does. 

    It doesn’t matter how customers engage with your brand — whether that’s your website, app, social media profiles or physical stores — omnichannel analytics capture every interaction.

    With this 360-degree view of your customers, it’s easy to understand how they move between channels, where they encounter issues and what bottlenecks prevent them from converting. 

    Deliver better personalisation

    We don’t have to tell you that personalisation matters. But do you know just how important it is ? Since 56% of customers will become repeat buyers after a personalised experience, delivering them as often as possible is critical. 

    Omnichannel analytics helps in your quest for personalisation by highlighting the individual preferences of customer segments. For example, e-commerce stores can use omnichannel analytics to understand how shoppers behave across different devices and tailor their offers accordingly. 

    Upgrade the customer experience

    Omnichannel analytics gives you the insights to improve every aspect of the customer experience. 

    For starters, you can ensure a consistent brand experience across all your top channels by making sure they look and behave the same.

    Then, you can use omnichannel insights to tailor each channel to your customers’ requirements. For example, most people interacting with your brand on social media may seek support. Knowing that you can create dedicated support accounts to assist users. 

    Improve marketing campaigns

    Which marketing campaigns or traffic sources convert the most customers ? How can you improve these campaigns ? Omnichannel analytics has the answers. 

    When you implement omnichannel analytics you automatically track the performance of every marketing channel by attributing each conversion to one or more traffic sources. This lets you see whether Google Ads bring in more customers than your SEO efforts. Or whether social media ads are the most profitable acquisition channel. 

    Armed with this information, you can improve your marketing efforts — either by focusing on your profitable channels or rectifying problems that stop less profitable channels from converting.

    What are the challenges of omnichannel analytics ?

    There are three challenges when implementing an omnichannel analytics solution :

    What are the challenges of omnichannel analytics?
    • Complex customer journeys : Customer journeys aren’t linear and can be incredibly difficult to track. 
    • Regulatory and privacy issues : When you start gathering customer data, you quickly come up against consumer privacy laws. 
    • No underlying goal : There has to be a reason to go to all this effort, but brands don’t always have goals in mind before they start. 

    You can’t do anything about the first challenge. 

    After all, your customer journey will almost never be linear. And isn’t the point of implementing an omnichannel solution to understand these complex journeys in the first place ? Once you set up omnichannel analytics, these journeys will be much easier to decipher. 

    As for the other two :

    Using the right software that respects user privacy and complies with all major privacy laws will avoid regulatory issues. Take Matomo, for instance. Our software was designed with privacy in mind and is configured to follow the strictest privacy laws, such as GDPR. 

    Tying omnichannel analytics to marketing attribution will solve the final challenge by giving your omnichannel efforts a goal. When you tie omnichannel analytics to your marketing efforts, you aren’t just getting a 360-degree view of your customer journey for the sake of it. You are getting that view to improve your marketing efforts and increase sales.

    Try Matomo for Free

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

    No credit card required

    How to set up an omnichannel analytics solution

    Want to set up a seamless analytical environment that incorporates data from every possible source ? Follow these five steps :

    Choose one or more analytics providers

    You can use several tools to build an omnichannel analytics solution. These include web and app analytics tools, customer data platforms that centralise first-party data and business intelligence tools (typically used for visualisation). 

    Which tools you use will depend on your goals and your budget — the loftier your ambitions and the higher your budget, the more tools you can use. 

    Ideally, you should use as few tools as possible to capture your data. Most teams won’t need business intelligence platforms, for example. However, you may or may not need both an analytics platform and a customer data platform. Your decision will depend on how many channels your customers use and how well your analytics tool tracks everything.

    If it can capture web and app usage while integrating with third-party platforms like your back-end e-commerce platform, then it’s probably enough.

    Collect accurate data at every touchpoint 

    Your omnichannel analytics efforts hinge on the quantity and quality of data you can collect. You want to gather data from every touchpoint possible and store that data in as few places as possible. That’s why choosing as few tools as possible in the step above is so important. 

    So, where should you start ? Common data sources include :

    • Your website
    • Apps (iOS and Android)
    • Social media profiles
    • ERPs
    • PoS systems

    At the same time, make sure you’re tracking all relevant metrics. Revenue, customer engagement and conversion-focused metrics like conversion rate, dwell time, cart abandonment rate and churn rate are particularly important. 

    Set up marketing attribution

    Setting up marketing attribution (also known as multi-touch attribution) is essential to tie omnichannel data to business goals. It’s the only way to know exactly how valuable each marketing channel is and where each customer comes from. 

    You’ll want to use multi-touch attribution, given you have data from across the customer journey.

    Image of six different attribution models

    Multi-touch attribution models can include (but are not limited to) :

    • Linear : where each touchpoint is given equal weighting
    • Time decay : where touchpoints are more valuable the nearer they are to conversion
    • Position-based : where the first and last touch points are more valuable than all the others. 

    You don’t have to use just one of the models above, however. One of the benefits of using a web analytics tool like Matomo is that you can choose between different attribution models and compare them.

    Try Matomo for Free

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

    No credit card required

    Create reports that help you visualise data

    Dashboards are your friend here. They’ll let you see KPIs at a glance, allowing you to keep track of day-to-day changes in your customer journey. Ideally, you’ll want a platform that lets you customise dashboard widgets so only relevant KPIs are shown. 

    A custom graph created in Matomo

    Setting up standard and custom reports is also important. Custom reports allow you to choose metrics and dimensions that align with your goals. They will also allow you to present your data most meaningfully to your team, increasing the likelihood they act upon insights. 

    Analyse data and take action

    Now that you have customer journey data at your fingertips, it’s time to analyse it. After all, there’s no point in implementing an omnichannel analytics solution if you aren’t going to take action. 

    If you’re unsure where to start, re-read the benefits we listed at the start of this article. You could use your omnichannel insights to improve your marketing campaigns by doubling down on the channels that bring in the best customers.

    Or you could identify (and fix) bottlenecks in the customer journey so customers are less likely to fall out of your funnel between certain channels. 

    Just make sure you take action based on your data alone.

    Make the most of omnichannel analytics with Matomo

    A comprehensive web and app analytics platform is vital to any omnichannel analytics strategy. 

    But not just any solution will do. When privacy regulations impede an omnichannel analytics solution, you need a platform to capture accurate data without breaking privacy laws or your users’ trust. 

    That’s where Matomo comes in. Our privacy-friendly web analytics platform ensures accurate tracking of web traffic while keeping you compliant with even the strictest regulations. Moreover, our range of APIs and SDKs makes it easy to track interactions from all your digital products (website, apps, e-commerce back-ends, etc.) in one place. 

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