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Richard Stallman et le logiciel libre
19 octobre 2011, par kent1
Mis à jour : Mai 2013
Langue : français
Type : Texte
Tags : opensource, stallman, biographie, livre, framasoft
Autres articles (41)
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La file d’attente de SPIPmotion
28 novembre 2010, par kent1Une file d’attente stockée dans la base de donnée
Lors de son installation, SPIPmotion crée une nouvelle table dans la base de donnée intitulée spip_spipmotion_attentes.
Cette nouvelle table est constituée des champs suivants : id_spipmotion_attente, l’identifiant numérique unique de la tâche à traiter ; id_document, l’identifiant numérique du document original à encoder ; id_objet l’identifiant unique de l’objet auquel le document encodé devra être attaché automatiquement ; objet, le type d’objet auquel (...) -
Publier sur MédiaSpip
13 juin 2013Puis-je poster des contenus à partir d’une tablette Ipad ?
Oui, si votre Médiaspip installé est à la version 0.2 ou supérieure. Contacter au besoin l’administrateur de votre MédiaSpip pour le savoir -
Use, discuss, criticize
13 avril 2011, par kent1Talk 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.
Sur d’autres sites (4112)
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Google Optimize vs Matomo A/B Testing : Everything You Need to Know
17 mars 2023, par Erin — Analytics TipsGoogle Optimize is a popular A/B testing tool marketers use to validate the performance of different marketing assets, website design elements and promotional offers.
But by September 2023, Google will sunset both free and paid versions of the Optimize product.
If you’re searching for an equally robust, but GDPR compliant, privacy-friendly alternative to Google Optimize, have a look at Matomo A/B Testing.
Integrated with our analytics platform and conversion rate optimisation (CRO) tools, Matomo allows you to run A/B and A/B/n tests without any usage caps or compromises in user privacy.
Disclaimer : Please note that the information provided in this blog post is for general informational purposes only and is not intended to provide legal advice. Every situation is unique and requires a specific legal analysis. If you have any questions regarding the legal implications of any matter, please consult with your legal team or seek advice from a qualified legal professional.
Google Optimize vs Matomo : Key Capabilities Compared
This guide shows how Matomo A/B testing stacks against Google Optimize in terms of features, reporting, integrations and pricing.
Supported Platforms
Google Optimize supports experiments for dynamic websites and single-page mobile apps only.
If you want to run split tests in mobile apps, you’ll have to do so via Firebase — Google’s app development platform. It also has a free tier but paid usage-based subscription kicks in after your product(s) reaches a certain usage threshold.
Google Optimize also doesn’t support CRO experiments for web or desktop applications, email campaigns or paid ad campaigns.Matomo A/B Testing, in contrast, allows you to run experiments in virtually every channel. We have three installation options — using JavaScript, server-side technology, or our mobile tracking SDK. These allow you to run split tests in any type of web or mobile app (including games), a desktop product, or on your website. Also, you can do different email marketing tests (e.g., compare subject line variants).
A/B Testing
A/B testing (split testing) is the core feature of both products. Marketers use A/B testing to determine which creative elements such as website microcopy, button placements and banner versions, resonate better with target audiences.
You can benchmark different versions against one another to determine which variation resonates more with users. Or you can test an A version against B, C, D and beyond. This is called A/B/n testing.
Both Matomo A/B testing and Google Optimize let you test either separate page elements or two completely different landing page designs, using redirect tests. You can show different variants to different user groups (aka apply targeting criteria). For example, activate tests only for certain device types, locations or types of on-site behaviour.
The advantage of Matomo is that we don’t limit the number of concurrent experiments you can run. With Google Optimize, you’re limited to 5 simultaneous experiments. Likewise,
Matomo lets you select an unlimited number of experiment objectives, whereas Google caps the maximum choice to 3 predefined options per experiment.
Objectives are criteria the underlying statistical model will use to determine the best-performing version. Typically, marketers use metrics such as page views, session duration, bounce rate or generated revenue as conversion goals.
Multivariate testing (MVT)
Multivariate testing (MVT) allows you to “pack” several A/B tests into one active experiment. In other words : You create a stack of variants to determine which combination drives the best marketing outcomes.
For example, an MVT experiment can include five versions of a web page, where each has a different slogan, product image, call-to-action, etc. Visitors are then served with a different variation. The tracking code collects data on their behaviours and desired outcomes (objectives) and reports the results.
MVT saves marketers time as it’s a great alternative to doing separate A/B tests for each variable. Both Matomo and Google Optimize support this feature. However, Google Optimize caps the number of possible combinations at 16, whereas Matomo has no limits.
Redirect Tests
Redirect tests, also known as split URL tests, allow you to serve two entirely different web page versions to users and compare their performance. This option comes in handy when you’re redesigning your website or want to test a localised page version in a new market.
Also, redirect tests are a great way to validate the performance of bottom-of-the-funnel (BoFU) pages as a checkout page (for eCommerce websites), a pricing page (for SaaS apps) or a contact/booking form (for a B2B service businesses).
You can do split URL tests with Google Optimize and Matomo A/B Testing.
Experiment Design
Google Optimize provides a visual editor for making simple page changes to your website (e.g., changing button colour or adding several headline variations). You can then preview the changes before publishing an experiment. For more complex experiments (e.g., testing different page block sequences), you’ll have to codify experiments using custom JavaScript, HTML and CSS.
In Matomo, all A/B tests are configured on the server-side (i.e., by editing your website’s raw HTML) or client-side via JavaScript. Afterwards, you use the Matomo interface to start or schedule an experiment, set objectives and view reports.
Experiment Configuration
Marketers know how complex customer journeys can be. Multiple factors — from location and device to time of the day and discount size — can impact your conversion rates. That’s why a great CRO app allows you to configure multiple tracking conditions.
Matomo A/B testing comes with granular controls. First of all, you can decide which percentage of total web visitors participate in any given experiment. By default, the number is set to 100%, but you can change it to any other option.
Likewise, you can change which percentage of traffic each variant gets in an experiment. For example, your original version can get 30% of traffic, while options A and B receive 40% each. We also allow users to specify custom parameters for experiment participation. You can only show your variants to people in specific geo-location or returning visitors only.
Finally, you can select any type of meaningful objective to evaluate each variant’s performance. With Matomo, you can either use standard website analytics metrics (e.g., total page views, bounce rate, CTR, visit direction, etc) or custom goals (e.g., form click, asset download, eCommerce order, etc).
In other words : You’re in charge of deciding on your campaign targeting criteria, duration and evaluation objectives.
A free Google Optimize account comes with three main types of user targeting options :
- Geo-targeting at city, region, metro and country levels.
- Technology targeting by browser, OS or device type, first-party cookie, etc.
- Behavioural targeting based on metrics like “time since first arrival” and “page referrer” (referral traffic source).
Users can also configure other types of tracking scenarios (for example to only serve tests to signed-in users), using condition-based rules.
Reporting
Both Matomo and Google Optimize use different statistical models to evaluate which variation performs best.
Matomo relies on statistical hypothesis testing, which we use to count unique visitors and report on conversion rates. We analyse all user data (with no data sampling applied), meaning you get accurate reporting, based on first-hand data, rather than deductions. For that reason, we ask users to avoid drawing conclusions before their experiment participation numbers reach a statistically significant result. Typically, we recommend running an experiment for at least several business cycles to get a comprehensive report.
Google Optimize, in turn, uses Bayesian inference — a statistical method, which relies on a random sample of users to compare the performance rates of each creative against one another. While a Bayesian model generates CRO reports faster and at a bigger scale, it’s based on inferences.
Model developers need to have the necessary skills to translate subjective prior beliefs about the probability of a certain event into a mathematical formula. Since Google Optimize is a proprietary tool, you cannot audit the underlying model design and verify its accuracy. In other words, you trust that it was created with the right judgement.
In comparison, Matomo started as an open-source project, and our source code can be audited independently by anyone at any time.
Another reporting difference to mind is the reporting delays. Matomo Cloud generates A/B reports within 6 hours and in only 1 hour for Matomo On-Premise. Google Optimize, in turn, requires 12 hours from the first experiment setup to start reporting on results.
When you configure a test experiment and want to quickly verify that everything is set up correctly, this can be an inconvenience.
User Privacy & GDPR Compliance
Google Optimize works in conjunction with Google Analytics, which isn’t GDPR compliant.
For all website traffic from the EU, you’re therefore obliged to show a cookie consent banner. The kicker, however, is that you can only show an Optimize experiment after the user gives consent to tracking. If the user doesn’t, they will only see an original page version. Considering that almost 40% of global consumers reject cookie consent banners, this can significantly affect your results.
This renders Google Optimize mostly useless in the EU since it would only allow you to run tests with a fraction ( 60%) of EU traffic — and even less if you apply any extra targeting criteria.
In comparison, Matomo is fully GDPR compliant. Therefore, our users are legally exempt from displaying cookie-consent banners in most EU markets (with Germany and the UK being an exception). Since Matomo A/B testing is part of Matomo web analytics, you don’t have to worry about GDPR compliance or breaches in user privacy.
Digital Experience Intelligence
You can get comprehensive statistical data on variants’ performance with Google Optimize. But you don’t get further insights on why some tests are more successful than others.
Matomo enables you to collect more insights with two extra features :
- User session recordings : Monitor how users behave on different page versions. Observe clicks, mouse movements, scrolls, page changes, and form interactions to better understand the users’ cumulative digital experience.
- Heatmaps : Determine which elements attract the most users’ attention to fine-tune your split tests. With a standard CRO tool, you only assume that a certain page element does matter for most users. A heatmap can help you determine for sure.
Both of these features are bundled into your Matomo Cloud subscription.
Integrations
Both Matomo and Google Optimize integrate with multiple other tools.
Google Optimize has native integrations with other products in the marketing family — GA, Google Ads, Google Tag Manager, Google BigQuery, Accelerated Mobile Pages (AMP), and Firebase. Separately, other popular marketing apps have created custom connectors for integrating Google Optimize data.
Matomo A/B Testing, in turn, can be combined with other web analytics and CRO features such as Funnels, Multi-Channel Attribution, Tag Manager, Form Analytics, Heatmaps, Session Recording, and more !
You can also conveniently export your website analytics or CRO data using Matomo Analytics API to analyse it in another app.
Pricing
Google Optimize is a free tool but has usage caps. If you want to schedule more than 5 concurrent experiments or test more than 16 variants at once, you’ll have to upgrade to Optimize 360. Optimize 360 prices aren’t listed publicly but are said to be closer to six figures per year.
Matomo A/B Testing is available with every Cloud subscription (starting from €19) and Matomo On-Premise users can also get A/B Testing as a plugin (starting from €199/year). In each case, there are no caps or data limits.
Google Optimize vs Matomo A/B Testing : Comparison Table
Features/capabilities Google Optimize Matomo A/B test Supported channels Web Web, mobile, email, digital campaigns A/B testing Multivariate testing (MVT) Split URL tests Web analytics integration Native with UA/GA4 Native with Matomo
You can also migrate historical UA (GA3) data to MatomoAudience segmentation Basic Advanced Geo-targeting Technology targeting Behavioural targeting Basic Advanced Reporting model Bayesian analysis Statistical hypothesis testing Report availability Within 12 hours after setup 6 hours for Matomo Cloud
1 hour for Matomo On-PremiseHeatmaps
Included with Matomo CloudSession recordings
Included with Matomo CloudGDPR compliance Support Self-help desk on a free tier Self-help guides, user forum, email Price Free limited tier From €19 for Cloud subscription
From €199/year as plugin for On-PremiseFinal Thoughts : Who Benefits the Most From an A/B Testing Tool ?
Split testing is an excellent method for validating various assumptions about your target customers.
With A/B testing tools you get a data-backed answer to research hypotheses such as “How different pricing affects purchases ?”, “What contact button placement generates more clicks ?”, “Which registration form performs best with new app subscribers ?” and more.
Such insights can be game-changing when you’re trying to improve your demand-generation efforts or conversion rates at the BoFu stage. But to get meaningful results from CRO tests, you need to select measurable, representative objectives.
For example, split testing different pricing strategies for low-priced, frequently purchased products makes sense as you can run an experiment for a couple of weeks to get a statistically relevant sample.
But if you’re in a B2B SaaS product, where the average sales cycle takes weeks (or months) to finalise and things like “time-sensitive discounts” or “one-time promos” don’t really work, getting adequate CRO data will be harder.
To see tangible results from CRO, you’ll need to spend more time on test ideation than implementation. Your team needs to figure out : which elements to test, in what order, and why.
Effective CRO tests are designed for a specific part of the funnel and assume that you’re capable of effectively identifying and tracking conversions (goals) at the selected stage. This alone can be a complex task since not all customer journeys are alike. For SaaS websites, using a goal like “free trial account registration” can be a good starting point.
A good test also produces a meaningful difference between the proposed variant and the original version. As Nima Yassini, Partner at Deloitte Digital, rightfully argues :
“I see people experimenting with the goal of creating an uplift. There’s nothing wrong with that, but if you’re only looking to get wins you will be crushed when the first few tests fail. The industry average says that only one in five to seven tests win, so you need to be prepared to lose most of the time”.
In many cases, CRO tests don’t provide the data you expected (e.g., people equally click the blue and green buttons). In this case, you need to start building your hypothesis from scratch.
At the same time, it’s easy to get caught up in optimising for “vanity metrics” — such that look good in the report, but don’t quite match your marketing objectives. For example, better email headline variations can improve your email open rates. But if users don’t proceed to engage with the email content (e.g. click-through to your website or use a provided discount code), your efforts are still falling short.
That’s why developing a baseline strategy is important before committing to an A/B testing tool. Google Optimize appealed to many users because it’s free and allows you to test your split test strategy cost-effectively.
With its upcoming depreciation, many marketers are very committed to a more expensive A/B tool (especially when they’re not fully sure about their CRO strategy and its results).
Matomo A/B testing is a cost-effective, GDPR-compliant alternative to Google Optimize with a low learning curve and extra competitive features.
Discover if Matomo A/B Testing is the ideal Google Optimize alternative for your organization with our free 21-day trial. No credit card required.
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CRO Program : Best Practices and KPIs to Track [2024]
8 mai 2024, par ErinDriving traffic to your website is only one part of the equation ; the second part is getting those visitors to convert by completing a desired action — creating an account, signing up for a newsletter or completing a purchase.
But if you fail to optimise your website for conversions, you’ll have a hard time guiding visitors further down the funnel and turning them into customers.
That’s where a CRO program (or conversion rate optimisation) can help.
This article will cover conversion rate optimisation best practices and outline key metrics and KPIs to start tracking to see an improvement in your conversion rates.
What is a CRO program ?
In the simplest terms, a CRO program — also called a CRO plan — is a digital marketing strategy. It focuses on implementing different tactics that can lead to an increase in conversion rate and maximising revenue.
One thing to remember is that the definition of “conversion” varies from business to business. The most obvious type of conversion would be a financial transaction or a completed form — but it comes down to what you consider a valuable action.
Many different actions can count as conversions, depending on your marketing goals.
Besides making a purchase, other common examples of key conversion moments include creating a new account, signing up for a free trial, booking a demo and subscribing to an email newsletter.
Another thing worth noting is that while the average conversion rate on e-commerce websites is 3.76%, it might fluctuate across different industries and device types. Case in point — desktop devices have higher conversion rates than mobile devices, clocking in at 4.79% and 3.32%, respectively.
So, in addition to defining your key conversion moments, you should also go over conversion insights relevant to your specific industry.
The importance of conversion rate optimisation
You’d be right to assume that the ultimate goal of a conversion rate optimisation process is to drive revenue through higher conversion rates — but don’t focus solely on the numbers. The core principle of a CRO program is improving the customer experience. Once you’ve achieved that, the increase in conversion rate will follow.
According to a recent report, global conversion rate optimisation (CRO) software sales are expected to reach $3.7 billion by 2032 — up from $1.1 billion in 2021.
This growth indicates the increasing interest in strategies and tools that can help optimise the conversion funnel. Businesses are looking for ways to keep potential customers engaged and improve the average conversion rate — without necessarily increasing their spending.
Here are a few reasons why a CRO program deserves a spot in your broader digital marketing strategies :
- It can lower your cost per acquisition (CPA) : A CRO program is about optimising your conversion funnel by leveraging existing assets and website traffic rather than increasing your spending — which lowers the costs of acquiring new customers and, in turn, drives ROI.
- It can maximise customer lifetime value (CLV) : If you can turn one-time buyers into repeat customers, you’ll be one step closer to building a loyal user base and increasing your CLV.
- It can lead to increased sales and boost your revenue : Higher conversion rates typically mean higher revenue ; that’s arguably the most obvious benefit of implementing a CRO program.
- It improves the overall user experience : The goal is to make your site more accessible, easier to navigate and more engaging. Delivering the experience people want — and expect — when navigating your website is one of the core principles of a CRO program.
- It helps you to get to know your customers better : You can’t meet your customers’ needs without taking the time to know them, create user personas and understand their preferences, pain points and conversion barriers they may be facing.
Conversion optimisation gives you a competitive edge in revenue and brand reputation.
5 CRO best practices
Here are five conversion rate optimisation strategies and best practices that can make a real difference in the customer experience — and drive potential conversions.
Create a CRO roadmap in advance
First and foremost, you’ll need a well-defined “game plan” that aligns with and reflects your conversion goals.
A CRO roadmap is a detailed manual that outlines how to implement different elements of your CRO-related efforts. Marketing teams can refer to this step-by-step framework for test planning, prioritisation and resource allocation while optimising their marketing strategy.
While conversion rate optimisation can be a complex process — especially when you don’t know what to tackle first — we’ve found that there are three things you need to consider when setting the foundations of a successful CRO program :
- The “why” behind your website traffic : You’re likely using different online marketing strategies — from SEO to pay-per-click (PPC). So, it’s best to start by gathering channel-specific conversion insights through marketing attribution. Then identify which of these efforts have the biggest impact on your target audience.
- The so-called “conversion blockers” that tell you where and why visitors tend to leave without completing a desired action : Funnel analysis might reveal problematic pages — drop-off points where you tend to lose most of your visitors.
- Your “hooks” : User feedback can be of great help here ; you can learn a lot by simply asking your customers to fill out a quick online survey and tell you what motivated them to take action.
Before working on that “game plan,” perform a pre-test analysis.
Matomo combines web analytics and user behaviour analytics with features like Heatmaps, Session Recordings, Form Analytics, Funnel Analytics, A/B Testing and User Flow. It can give you those initial benchmarks for measuring progress and a potential increase in conversion rate.
Validate your ideas with A/B and multivariate testing
Conversion rate optimisation is an iterative process. So, it shouldn’t come as a surprise that A/B testing variants of page layouts, CTAs, headlines, copy and other elements is a big part of it.
Multivariate and A/B testing allows you to test a wide range of elements across your site and identify what works — and, more importantly, what doesn’t — in terms of driving conversions.
On that note, Matomo’s A/B Testing feature can support your conversion rate optimisation process by identifying variants that perform better based on statistical significance.
Try Matomo for Free
Get the web insights you need, without compromising data accuracy.
Get to know your website visitors
Driving conversions comes down to understanding potential customer’s pain points and needs — and delivering an experience that positions you as the solution and gets them to take action.
Here are a few things that can help you understand your website visitors better :
- Collecting customer feedback through surveys and using it to identify main areas for improvement
- Creating detailed customer personas and optimising your website design and messaging based on your target audience’s pain points, needs and wants
- Using heatmaps — colour-coded data visualisation tools that illustrate user interactions — and scroll maps to get a comprehensive overview of online sessions and identify the most engaging elements and those that stand out as potential conversion barriers
Matomo’s Heatmaps can help you identify the most-clicked elements on the page and show how far users scroll — providing powerful user insights you can use to optimise these pages.
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Get the web insights you need, without compromising data accuracy.
Remove friction points
As we previously discussed, identifying friction points and barriers to conversion — issues that prevent visitors from converting — is one of the crucial aspects of developing a CRO plan.
Many different “conversion blockers” are worth looking into, including :
- Lengthy or otherwise complex checkout processes
- No guest checkout feature
- Device type, browser and OS compatibility issues
- Slow site speed and other technical issues
- Lack of free shipping and limited payment methods
- Absence of social proof (customer reviews and testimonials) and trust badges
Once you’ve identified what’s slowing down or completely discouraging users from reaching key conversion moments, take the time to address it.
Switch to text-based CTAs
Calls-to-action (CTAs) play a crucial role in guiding customers from interest to action. However, sometimes they fail to do their job — encouraging website visitors to proceed to the next step — effectively.
The most obvious reason is that your CTAs aren’t visually engaging or clear enough. In that case, you can try using action-oriented language and stronger visual elements and aligning the CTA copy with the context of the page.
But more often than not, the issue comes down to a phenomenon called “banner blindness” — the tendency of website visitors to ignore (either intentionally or unintentionally) elements on a page that resemble banner ads.
And if that’s what’s preventing visitors from converting, consider switching to text-based CTAs.
Conversion rate optimisation metrics and KPIs
At this point, you should know the outcomes you hope to achieve. Your next step should be to figure out how you’re going to measure and analyse results — and identify the changes that made the most impact on your conversion funnel.
After all, your CRO action plan should be based on data — assumptions and “gut feelings” will rarely lead to a notable increase in conversion rates.
That brings us to key performance indicators (KPIs) :
Tracking CRO metrics and website KPIs can help you understand the customer’s journey and path to purchase, identify opportunities for improving the user experience (UX) and determine how to optimise conversions.
That said, you shouldn’t try to track every metric in the book ; think about your ultimate goal and identify the metrics and KPIs most relevant to your business.
We’ll assume that you’re already tracking macro- and micro-conversions. However, we’ve outlined a few additional key conversion rate optimisation metrics you should keep an eye on to make sure that your CRO program is performing as intended :
- Cost-per-conversion : By measuring how much you spend on each successful conversion — again, completed forms, sign-ups and sales all count as key conversion moments — you’ll be in a better position to assess the cost-effectiveness of your online marketing strategies.
- Starter rate : This metric tells you the number of people who start filling out the form, after seeing it. This metric is particularly important for companies that rely on getting leads from forms.
- Average order value (AOV) : This metric is important for e-commerce sites to understand the value of their transactions. AOV calculates the average monetary value of each order.
That’s not all ; you can also use a web analytics tool like Matomo to gain granular insights into visitors :
- Unique, new and returning visitors : Tracking the number of new and returning visitors your website gets within a given timeframe will help you understand your user base and determine if your content resonates with them. While you want a constant stream of new traffic, don’t overlook the importance of returning visitors ; they’re the foundation of a loyal customer base.
- User flows : By analysing the user flows, you’ll have a visual representation of how visitors use your website, which will help you understand their journey and the specific path they take.
- Bounce rate : This metric tells you how many users viewed a single page on your site and ended up leaving before they took any kind of action. As such, it’s a clear indicator of how good your content, CTAs and website layout are at keeping users engaged.
- Exit rate : Another key metric to track is the exit rate — the percentage of users who drop off at a specific page. High-exit pages usually lack important information and CTAs, cause frustration or otherwise fail to meet users’ expectations. Keep in mind that there’s a difference between bounce rate and exit rate — the latter involves users who viewed at least one other page.
There are many other user engagement metrics you should keep an eye on in addition to the ones mentioned above — including time on-page, actions per visit, scroll depth and traffic source. You’ll find all this information — and more — in Matomo’s Page Analytics Report.
Conclusion
Implementing a CRO program can be a time-consuming and iterative process. However, it’s vital for guiding your marketing efforts and making data-driven decisions that’ll ultimately help you drive growth and reach your business goals.
It’s best to start by identifying where your website visitors come from and what contributes to — or prevents them from — taking further action. But that’s easier said than done. You’ll need to leverage web analytics tools like Matomo to gather powerful user insights and monitor your website’s performance.
As an all-in-one, privacy-friendly web analytics solution, Matomo combines traditional web analytics and advanced behavioural analytics — delivering a consistent experience based on 100% accurate, unsampled data.
Join the 1 million websites that have chosen Matomo as their web analytics platform. Start your 21-day free trial today — and see how Matomo can help you improve your website’s conversion rates. No credit card required.
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21 day free trial. No credit card required.
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10 Matomo Features You Possibly Didn’t Know About
28 octobre 2022, par ErinMost users know Matomo as the privacy-focussed web analytics tool with data accuracy, superior to Google Analytics.
And we’re thrilled to be that — and more !
At Matomo, our underlying product vision is to provide a full stack of accurate, user-friendly and privacy-mindful online marketing tools.
Over the years, we’ve expanded beyond baseline website statistics. Matomo Cloud users also get to benefit from additional powerful tools for audience segmentation, conversion optimisation, advanced event tracking and more.
Here are the top 10 advanced Matomo features you wish you knew about earlier (but won’t stop using now !).
Funnels
At first glance, most customer journeys look sporadic. But every marketer will tell you that there is a method to almost every users’ madness. Or more precisely — there’s a method you can use to guide users towards conversions.
That’s called a customer journey — a schematic set of steps and actions people complete from developing awareness and interest in your solution to consideration and finally conversion.
On average, 8 touchpoints are required to turn a prospect into a customer. Though the number can be significantly bigger in B2B sales and smaller for B2C Ecommerce websites.
With the Funnels feature, you can first map all the on-site touchpoints (desired actions) for different types of customers. Then examine the results you’re getting as prospects move through these checkbox steps.
Funnel reports provide :
- High-level metrics such as “Funnel conversion rate”, “Number of funnel conversions”, “Number of funnel entries”.
- Drilled-down reports for each funnel and each tracked action within it. This way you can track the success rates of each step and estimate their contribution to the cumulative effect.
Segmented funnel reports for specific user cohorts (with Matomo Segmentation enabled).
What makes funnels so fun (pun intended) ? The variety of use cases and configurations !
You can build funnels to track conversion rates for :
- Newsletter subscriptions
- Job board applications
- Checkout or payment
- Product landing pages
- Seasonal promo campaigns
…. And pretty much any other page where users must complete a meaningful action. So go test this out.
Form Analytics
On-site forms are a 101 tactic for lead generation. For most service businesses, a “contact request” or a “booking inquiry” submission means a new lead in your pipeline.
That said : the average on-site form conversion rates across industries stand at below 50% :
- Property – 37%
- Telecoms – 40%
- Software — 46.83%
That’s not bad, but it could be better. If only you could figure out why people abandon your forms….
Oh wait, Matomo Form Analytics can supply you with answers. Form Analytics provide real-time information on key form metrics — total views, starter rate, submitter rate, conversions and more.
Separately the average form hesitation time is also provided (in other words, the time a user contemplates if filling in a form is worth the effort). Plus, Matomo also tracks the time spent on form submission.
You can review :
- Top drop-off fields – to understand where you are losing prospects. These fields should either be removed or simplified (e.g., with a dropdown menu) to increase conversions.
- Most corrected-field – this will provide a clear indication of where your prospects are struggling with a form. Providing help text can simplify the process and increase conversions.
- Unesserary fields – with this metric, you’ll know which optional fields your leads aren’t interested in filling in and can remove them to help drive conversions.
With Form Analytics, you’ll be able to boost conversions and create a better on-site experience with accurate user data.
A/B testing
Marketing is both an art and a science. A/B testing (or split testing) helps you statistically verify which creative ideas perform better.
A good conversion rate optimisation (CRO) practice is to test different elements and to do so often to find your top contenders.
What can you split test ? Loads of things :
- Page slogans and call-to-actions
- Button or submission form placements
- Different landing page designs and layouts
- Seasonal promo offers and banners
- Pricing information
- Customer testimonial placements
More times than not, those small changes in page design or copy can lead to a double-digit lift in conversion rates. Accounting software Sage saw a 30% traffic boost after changing the homepage layout, copy and CTAs based on split test data. Depositphotos, in turn, got a 9.32% increase in account registration rate (CR) after testing a timed pop-up registration form.
The wrinkle ? A/B testing software isn’t exactly affordable, with tools averaging $119 – $1,995 per month. Plus, you then have to integrate a third-party tool with your website analytics for proper attribution — and this can get messy.
Matomo saves you the hassle in both cases. An A/B testing tool is part of your Cloud subscription and plays nicely with other features — goal tracking, heatmaps, historic visitor profiles and more.
You can run split tests with Matomo on your websites or mobile apps — and find out if version A, B, C or D is the top performer.
Advertising Conversion Exports
A well-executed search marketing or banner remarketing campaign can drive heaps of traffic to your website. But the big question is : How much of it will convert ?
The AdTech industry has a major problem with proper attribution and, because of it, with ad fraud.
Globally, digital ad fraud will cost advertisers a hefty $8 billion by the end of 2022. That’s when another $74 million in ad budgets get wasted per quarter.
The reasons for ad budget waste may vary, but they often have a common denominator : lack of reliable conversion tracking data.
Matomo helps you get a better sense of how you spend your cents with Advertising Conversion Reports. Unlike other MarTech analytics tools, you don’t need to embed any third-party advertising network trackers into your website or compromise user privacy.
Instead, you can easily export accurate conversion data from Matomo (either manually via a CSV file or automated with an HTTPS link) into your Google Ads, Microsoft Advertising or Yandex Ads for cross-validation. This way you can get an objective view of the performance of different campaigns and optimise your budget allocations accordingly.
Find out more about tracking ad campaigns with Matomo.
Matomo Tag Manager
The marketing technology landscape is close to crossing 10,000 different solutions. Cross-platform advertising trackers and all sorts of customer data management tools comprise the bulk of that growing stack.
Remember : Each new tool embed adds extra “weight” to your web page. More tracking scripts equal slower page loading speed — and more frustration for your users. Likewise, extra embeds often means dialling up the developer (which takes time). Or tinkering with the site code yourself (which can result in errors and still raise the need to call a developer).
With Tag Manager, you can easily generate tags for :
- Custom analytics reports
- Newsletter signups
- Affiliates
- Form submission tracking
- Exit popups and surveys
- Ads and more
With Matomo Tag Manager, you can monitor, update or delete everything from one convenient interface. Finally, you can programme custom triggers — conditions when the tag gets activated — and specify data points (variables) it should collect. The latter is a great choice for staying privacy-focused and excluding any sensitive user information from processing.
With our tag management system (TMS), no rogue tags will mess up your analytics or conversion tracking.
Session recordings
User experience (UX) plays a pivotal role in your conversion rates.
A five-year McKinsey study of 300 publicly listed companies found that companies with strong design practices have 32 percentage points higher revenue growth than their peers.
But what makes up a great website design and browsing experience ? Veteran UX designers name seven qualities :
Source : Semantic Studios To figure out if your website meets all these criteria, you can use Session Recording — a tool for recording how users interact with your website.
By observing clicks, mouse moves, scrolls and form interactions you can determine problematic website design areas such as poor header navigation, subpar button placements or “boring” blocks of text.
Such observational studies are a huge part of the UX research process because they provide unbiased data on interaction. Or as Nielsen Norman Group puts it :
“The way to get user data boils down to the basic rules of usability :
- Watch what people actually do.
- Do not believe what people say they do.
- Definitely don’t believe what people predict they may do in the future.”
Most user behaviour analytics tools sell such functionality for a fee. With Matomo Cloud, this feature is included in your subscription.
Heatmaps
While Session Replays provide qualitative insights, Heatmaps supply you with first-hand qualitative insights. Instead of individual user browsing sessions, you get consolidated data on where they click and how they scroll through your website.
Heatmaps are another favourite among UX designers and their CRO peers because you can :
- Validate earlier design decisions around information architecture, page layout, button placements and so on.
- Develop new design hypotheses based on stats and then translate them into website design improvements.
- Identify distractive no-click elements that confuse users and remove them to improve conversions.
- Locate problematic user interface (UI) areas on specific devices or operating systems and improve them for a seamless experience.
To get even more granular results, you can apply up to 100 Matomo segments to drill down on specific user groups, geographies or devices.
This way you can make data-based decisions for A/B testing, updating or redesigning your website pages.
Custom Alerts
When it comes to your website, you don’t want to miss anything big — be it your biggest sales day or a sudden nosedive in traffic.
That’s when Custom Alerts come in handy.
With a few clicks, you can set up email or text-based alerts about important website metrics. Once you hit that metric, Matomo will send a ping.
You can also set different types of Custom Alerts for your teams. For example, your website administrator can get alerted about critical technical performance issues such as a sudden spike in traffic. It can indicate a DDoS attack (in the worst case) — and timely resolution is crucial here. Or suggest that your website is going viral and you might need to provision extra computing resources to ensure optimal site performance.
Your sales team, in turn, can get alerted about new form submissions, so that they can quickly move on to lead scoring and subsequent follow-ups.
Use cases are plentiful with this feature.
Custom Dashboards and Reports
Did you know you can get a personalised view of the main Matomo dashboards ?
By design, we made different website stats available as separate widgets. Hence, you can cherry-pick which stats get a prominent spot. Moreover, you can create and embed custom widgets into your Matomo dashboard to display third-party insights (e.g., POS data).
Set up custom dashboard views for different teams, business stakeholders or clients to keep them in the loop on relevant website metrics.
Custom Reports feature, in turn, lets you slice and dice your traffic analytics the way you please. You can combine up to three different data dimensions per report and then add any number of supported metrics to get a personalised analytics report.
For example, to zoom in on your website performance in a specific target market you can apply “location” (e.g., Germany) and “action type” (e.g., app downloads) dimensions and then get segmented data on metrics such as total visits, conversion rates, revenue and more.
Get to know even more ways to customise Matomo deployment.
Roll Up Report
Need to get aggregated traffic analytics from multiple web properties, but not ready to pay $150K per year for Google Analytics 360 for that ?
We’ve got you with Roll-Up Reporting. You can get a 360-degree view into important KPIs like global revenue, conversion rates or form performance across multiple websites, online stores, mobile apps and even Intranet properties.
Setting up this feature takes minutes, but saves you hours on manually exporting and cross-mapping data from different web analytics tools.
Channel all those saved hours into more productive things like increasing your conversion rates or boosting user engagement.
Avoid Marketing Tool Sprawl with Matomo
With Matomo as your website analytics and conversion optimisation app, you don’t need to switch between different systems, interfaces or have multiple tracking codes embedded on your site.
And you don’t need to cultivate a disparate (and expensive !) MarTech tool stack — and then figure out if each of your tools is compliant with global privacy laws.
All the tools you need are conveniently housed under one roof.
Want to learn more about Matomo features ? Check out product training videos next !
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