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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
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Stereo master soundtrack
17 octobre 2011, par kent1
Mis à jour : Octobre 2011
Langue : English
Type : Audio
Tags : creative commons, audio, Elephant dreams, soundtrack, flac
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Elephants Dream - Cover of the soundtrack
17 octobre 2011, par kent1
Mis à jour : Octobre 2011
Langue : English
Type : Image
Tags : image, Elephant dreams, soundtrack
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#7 Ambience
16 octobre 2011, par kent1
Mis à jour : Juin 2015
Langue : English
Type : Audio
Tags : creative commons, Musique, mp3, Elephant dreams, soundtrack
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#6 Teaser Music
16 octobre 2011, par kent1
Mis à jour : Février 2013
Langue : English
Type : Audio
Tags : creative commons, Musique, mp3, Elephant dreams, soundtrack
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#5 End Title
16 octobre 2011, par kent1
Mis à jour : Février 2013
Langue : English
Type : Audio
Tags : creative commons, Musique, mp3, Elephant dreams, soundtrack
Autres articles (60)
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Les formats acceptés
28 janvier 2010, par kent1Les commandes suivantes permettent d’avoir des informations sur les formats et codecs gérés par l’installation local de ffmpeg :
ffmpeg -codecs ffmpeg -formats
Les format videos acceptés en entrée
Cette liste est non exhaustive, elle met en exergue les principaux formats utilisés : h264 : H.264 / AVC / MPEG-4 AVC / MPEG-4 part 10 m4v : raw MPEG-4 video format flv : Flash Video (FLV) / Sorenson Spark / Sorenson H.263 Theora wmv :
Les formats vidéos de sortie possibles
Dans un premier temps on (...) -
Encoding and processing into web-friendly formats
13 avril 2011, par kent1MediaSPIP automatically converts uploaded files to internet-compatible formats.
Video files are encoded in MP4, Ogv and WebM (supported by HTML5) and MP4 (supported by Flash).
Audio files are encoded in MP3 and Ogg (supported by HTML5) and MP3 (supported by Flash).
Where possible, text is analyzed in order to retrieve the data needed for search engine detection, and then exported as a series of image files.
All uploaded files are stored online in their original format, so you can (...) -
Supporting all media types
13 avril 2011, par kent1Unlike most software and media-sharing platforms, MediaSPIP aims to manage as many different media types as possible. The following are just a few examples from an ever-expanding list of supported formats : images : png, gif, jpg, bmp and more audio : MP3, Ogg, Wav and more video : AVI, MP4, OGV, mpg, mov, wmv and more text, code and other data : OpenOffice, Microsoft Office (Word, PowerPoint, Excel), web (html, CSS), LaTeX, Google Earth and (...)
Sur d’autres sites (2858)
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10 Key Google Analytics Limitations You Should Be Aware Of
9 mai 2022, par ErinGoogle Analytics (GA) is the biggest player in the web analytics space. But is it as “universal” as its brand name suggests ?
Over the years users have pointed out a number of major Google Analytics limitations. Many of these are even more visible in Google Analytics 4.
Introduced in 2020, Google Analytics 4 (GA4) has been sceptically received. As the sunset date of 1st, July 2023 for the current version, Google Universal Analytics (UA), approaches, the dismay grows stronger.
To the point where people are pleading with others to intervene :
Source : Chris Tweten via Twitter Main limitations of Google Analytics
Google Analytics 4 is advertised as a more privacy-centred, comprehensive and “intelligent” web analytics platform.
According to Google, the newest version touts :
- Machine learning at its core provides better segmentation and fast-track access to granular insights
- Privacy-by-design controls, addressing restrictions on cookies and new regulatory demands
- More complete understanding of customer journeys across channels and devices
Some of these claims hold true. Others crumble upon a deeper investigation. Newly advertised Google Analytics capabilities such as ‘custom events’, ‘predictive insights’ and ‘privacy consent mode’ only have marginal improvements.
Complex setup, poor UI and lack of support with migration also leave many other users frustrated with GA4.
Source : Alexander Stoffel via Twitter Let’s unpack all the current (and legacy) limitations of Google Analytics you should account for.
1. No Historical Data Imports
Google rushed users to migrate from Universal Analytics to Google Analytics 4. But they overlooked one important precondition — backwards compatibility.
You have no way to import data from Google Universal Analytics to Google Analytics 4.
Historical records are essential for analysing growth trends and creating benchmarks for new marketing campaigns. Effectively, you are cut short from past insights — and forced to start strategising from scratch.
At present, Google offers two feeble solutions :
- Run data collection in parallel and have separate reporting for GA4 and UA until the latter is shut down. Then your UA records are gone.
- For Ecommerce data, manually duplicate events from UA at a new GA4 property while trying to figure out the new event names and parameters.
Google’s new data collection model is the reason for migration difficulties.
In Google Analytics 4, all analytics hits types — page hits, social hits, app/screen view, etc. — are recorded as events. Respectively, the “‘event’ parameter in GA4 is different from one in Google Universal Analytics as the company explains :
Source : Google This change makes migration tedious — and Google offers little assistance with proper events and custom dimensions set up.
2. Data Collection Limits
If you’ve wrapped your head around new GA4 events, congrats ! You did a great job, but the hassle isn’t over.
You still need to pay attention to new Google Analytics limits on data collection for event parameters and user properties.
Source : Google These apply to :
- Automatically collected events
- Enhanced measurement events
- Recommended events
- Custom events
When it comes to custom events, GA4 also has a limit of 25 custom parameters per event. Even though it seems a lot, it may not be enough for bigger websites.
You can get higher limits by upgrading to Google Analytics 360, but the costs are steep.
3. Limited GDPR Compliance
Google Analytics has a complex history with European GDPR compliance.
A 2020 ruling by the Court of Justice of the European Union (CJEU) invalidated the Privacy Shield framework Google leaned upon. This framework allowed the company to regulate EU-US data transfers of sensitive user data.
But after this loophole was closed, Google faced a heavy series of privacy-related fines :
- French data protection authority, CNIL, ruled that “the transfers to the US of personal data collected through Google Analytics are illegal” — and proceeded to fine Google for a record-setting €150 million at the beginning of 2022.
- Austrian regulators also deemed Google in breach of GDPR requirements and also branded the analytics as illegal.
Other EU-member states might soon proceed with similar rulings. These, in turn, can directly affect Google Analytics users, whose businesses could face brand damage and regulatory fines for non-compliance. In fact, companies cannot select where the collected analytics data will be stored — on European servers or abroad — nor can they obtain this information from Google.
Getting a web analytics platform that allows you to keep data on your own servers or select specific Cloud locations is a great alternative.
Google also has been lax with its cookie consent policy and doesn’t properly inform consumers about data collection, storage or subsequent usage. Google Analytics 4 addresses this issue to an extent.
By default, GA4 relies on first-party cookies, instead of third-party ones — which is a step forward. But the user privacy controls are hard to configure without losing most of the GA4 functionality. Implementing user consent mode to different types of data collection also requires a heavy setup.
4. Strong Reliance on Sampled Data
To compensate for ditching third-party cookies, GA4 more heavily leans on sampled data and machine learning to fill the gaps in reporting.
In GA4 sampling automatically applies when you :
- Perform advanced analysis such as cohort analysis, exploration, segment overlap or funnel analysis with not enough data
- Have over 10,000,000 data rows and generate any type of non-default report
Google also notes that data sampling can occur at lower thresholds when you are trying to get granular insights. If there’s not enough data or because Google thinks it’s too complex to retrieve.
In their words :
Source : Google Data sampling adds “guesswork” to your reports, meaning you can’t be 100% sure of data accuracy. The divergence from actual data depends on the size and quality of sampled data. Again, this isn’t something you can control.
Unlike Google Analytics 4, Matomo applies no data sampling. Your reports are always accurate and fully representative of actual user behaviours.
5. No Proper Data Anonymization
Data anonymization allows you to collect basic analytics about users — visits, clicks, page views — but without personally identifiable information (or PII) such as geo-location, assigns tracking ID or other cookie-based data.
This reduced your ability to :
- Remarket
- Identify repeating visitors
- Do advanced conversion attribution
But you still get basic data from users who ignored or declined consent to data collection.
By default, Google Analytics 4 anonymizes all user IP addresses — an upgrade from UA. However, it still assigned a unique user ID to each user. These count as personal data under GDPR.
For comparison, Matomo provides more advanced privacy controls. You can anonymize :
- Previously tracked raw data
- Visitor IP addresses
- Geo-location information
- User IDs
This can ensure compliance, especially if you operate in a sensitive industry — and delight privacy-mindful users !
6. No Roll-Up Reporting
Getting a bird’s-eye view of all your data is helpful when you need hotkey access to main sites — global traffic volume, user count or percentage of returning visitors.
With Roll-Up Reporting, you can see global-performance metrics for multiple localised properties (.co.nz, .co.uk, .com, etc,) in one screen. Then zoom in on specific localised sites when you need to.
7. Report Processing Latency
The average data processing latency is 24-48 hours with Google Analytics.
Accounts with over 200,000 daily sessions get data refreshes only once a day. So you won’t be seeing the latest data on core metrics. This can be a bummer during one-day promo events like Black Friday or Cyber Monday when real-time information can prove to be game-changing !
Matomo processes data with lower latency even for high-traffic websites. Currently, we have 6-24 hour latency for cloud deployments. On-premises web analytics can be refreshed even faster — within an hour or instantly, depending on the traffic volumes.
8. No Native Conversion Optimisation Features
Google Analytics users have to use third-party tools to get deeper insights like how people are interacting with your webpage or call-to-action.
You can use the free Google Optimize tool, but it comes with limits :
- No segmentation is available
- Only 10 simultaneous running experiments allowed
There isn’t a native integration between Google Optimize and Google Analytics 4. Instead, you have to manually link an Optimize Container to an analytics account. Also, you can’t select experiment dimensions in Google Analytics reports.
What’s more, Google Optimize is a basic CRO tool, best suited for split testing (A/B testing) of copy, visuals, URLs and page layouts. If you want to get more advanced data, you need to pay for extra tools.
Matomo comes with a native set of built-in conversion optimization features :
- Heatmaps
- User session recording
- Sales funnel analysis
- A/B testing
- Form submission analytics
A/B test hypothesis testing on Matomo 9. Deprecated Annotations
Annotations come in handy when you need to provide extra context to other team members. For example, point out unusual traffic spikes or highlight a leak in the sales funnel.
This feature was available in Universal Analytics but is now gone in Google Analytics 4. But you can still quickly capture, comment and share knowledge with your team in Matomo.
You can add annotations to any graph that shows statistics over time including visitor reports, funnel analysis charts or running A/B tests.
10. No White Label Option
This might be a minor limitation of Google Analytics, but a tangible one for agency owners.
Offering an on-brand, embedded web analytics platform can elevate your customer experience. But white label analytics were never a thing with Google Analytics, unlike Matomo.
Wrap Up
Google set a high bar for web analytics. But Google Analytics inherent limitations around privacy, reporting and deployment options prompt more users to consider Google Analytics alternatives, like Matomo.
With Matomo, you can easily migrate your historical data records and store customer data locally or in a designated cloud location. We operate by a 100% unsampled data principle and provide an array of privacy controls for advanced compliance.
Start your 21-day free trial (no credit card required) to see how Matomo compares to Google Analytics !
21 day free 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.
Try Matomo for Free
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.
Try Matomo for Free
21 day free trial. No credit card required.
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Top 5 Customer Segmentation Software in 2024
12 mars 2024, par ErinIn marketing, we all know the importance of reaching the right customer with the right message at the right time. That’s how you cut through the noise.
For that, you need data on your customers — even though gathering the data is not enough. You can have all the data worldwide, but that raises an ethical responsibility and the need to make sense of it.
Enter customer segmentation software — the answer to delivering personalised customer experiences at scale.
This article lists some of the best customer segmentation tools currently in the market.
We’ll also go over the benefits of using such tools and how you can choose the best one for your business.
Let’s get started !
What is customer segmentation software ?
Customer segmentation software is a tool that helps businesses analyse customer data and group them based on common characteristics like age, income, and buying habits.
The main goal of customer segmentation is to gain deeper insights into customer behaviours and preferences. This helps create targeted marketing and product strategies that fit each group and makes it easier to predict how customers will behave in the future.
Benefits of a customer segmentation software
Understanding your customers is the cornerstone of effective marketing, and customer segmentation software plays a pivotal role in this endeavour.
You can deliver more targeted and relevant marketing campaigns by dividing your audience into distinct groups based on shared characteristics.
Specifically, here are the main benefits of using customer segmentation tools :
- Understand your audience better : The software helps businesses group customers with common traits to better understand their preferences and behaviour.
- Make data-driven decisions : Base your business and marketing decisions on data analytics.
- Aid product development : Insights from segmentation analytics can guide the creation of products that meet specific customer group needs.
- Allocate your resources efficiently : Focusing on the customer segments that generate the most revenue leads to more effective and strategic use of your marketing resources.
Best customer segmentation software in 2024
In this section, we go over the top customer segmentation tools in 2024.
We’ll look at these tools’ key features and pros and cons.
1. Matomo
Matomo is a comprehensive web analytics tool that merges traditional web analytics, such as tracking pageviews and visitor bounce rates, with more advanced web analytics features for tracking user behaviour.
With robust segmentation features, users can filter website traffic based on criteria such as location and device type, enabling them to analyse specific visitor groups and their behaviour. Users can create custom segments to analyse specific groups of visitors and their behaviour.
Presenting as the ethical alternative to Google Analytics, Matomo emphasises transparency, 100% accurate data, and compliance with privacy laws.
Key features
- Heatmaps and Session Recordings : Matomo provides tools that allow businesses to understand website user interactions visually. This insight is crucial for optimising user experience and increasing conversions.
- Form Analytics : This feature in Matomo tracks how users interact with website forms, helping businesses understand user behaviour in detail and improve form design and functionality.
- User Flow Analysis : The tool tracks the journey of a website’s visitors, highlighting the paths taken and where users drop off. This is key for optimising website structure for better user experience and more conversions.
- A/B Testing : Businesses can use Matomo to test different versions of web pages, determining which is more effective in driving conversions.
- Conversion Funnels : This feature allows businesses to visualise and optimise the steps customers take toward conversion, identifying areas for improvement.
Pros
- Affordability : With plans starting at $19 per month, Matomo is a cost-effective solution for CRO.
- Free support : Matomo provides free email support to all Matomo Cloud users.
- Open-source benefits : Being open-source, Matomo offers enhanced security, privacy, customisation options, and a supportive community.
- Hosting options : Matomo is available either as a self-hosted solution or cloud-hosted.
Cons
- Cost for advanced features : Access to advanced features may incur additional costs for Matomo On-Premise users, although the On-Premise solution itself is free.
- Technical knowledge required : The self-hosted version of Matomo requires technical knowledge for effective management.
Try Matomo for Free
Get the web insights you need, without compromising data accuracy.
2. Google Analytics
Google Analytics 4 (GA4) comprehensively understands website and app performance. It focuses on event-based data collection, allowing businesses to understand user interactions across platforms.
Similarly to Matomo, GA4 provides features that allow businesses to segment their audience based on various criteria such as demographics, behaviours, events, and more.
Key features
- Event-based tracking : GA4’s shift to an event-based model allows for a flexible and predictive analysis of user behaviour. This includes a detailed view of user interactions on websites and apps.
- Machine Learning and Smarter Insights : GA4 uses machine learning to automatically detect trends, estimate purchase probabilities and provide marketing insights.
- Google Ads integration : The integration with Google Ads in GA4 enables tracking customer interactions from first ad engagement, providing a holistic view of the customer experience across various platforms.
- Customer-centric measurements : GA4 collects data as events, covering a wide range of user interactions and offering a comprehensive view of customer behaviour.
- Pathing reports : GA4 introduces new pathing reports, allowing detailed user flow analysis through websites and apps.
- Audiences and filters : GA4 allows the creation of audiences based on specific criteria and the application of filters to segment and refine data analysis.
Pros
- Integration with various platforms, including Google Ads, enhances cross-platform user journey analysis.
- GA4 has a clean reporting interface, making it easier for marketers to identify key trends and data irregularities.
- Google Analytics has an active community with an abundance of educational resources available for users.
Cons
- Complexity for beginners : The wide range of features and new event-based model might overwhelm users new to analytics tools.
- Dependence on machine learning : Reliance on machine learning for insights and predictions may require trust in the tool’s data processing and large volumes of traffic for accuracy.
- Transition from UA to GA4 : Users familiar with Universal Analytics (UA) might find the transition to GA4 challenging due to differences in features and data models.
3. HubSpot
HubSpot is a marketing and sales software that helps businesses attract visitors and turn them into paying customers.
It supports various business processes, from social media posts to email marketing, sales, and customer service. HubSpot organises and tracks user interactions across different channels, providing a unified and efficient approach to customer relationship management (CRM) and customer segmentation.
Businesses can leverage HubSpot’s customer segmentation through lists, workflows, and smart content.
Key features
- Integration capabilities : HubSpot offers over 1,000 integrations in its ecosystem, ensuring seamless connectivity across various marketing, sales, and service tools, which helps maintain data consistency and reduces manual efforts.
- Segmentation and personalisation : HubSpot allows businesses to deliver personalised content and interactions based on customer behaviour and preferences, using its robust CRM features and advanced automation capabilities.
Pros
- Comprehensive support : HubSpot offers a range of support options, including a knowledge base, real-time chat, and more.
- User-friendly interface : The platform is designed for ease of use, ensuring a smooth experience even for less tech-savvy users.
- Personalisation capabilities : HubSpot provides personalised marketing, sales and service experiences, leveraging customer data effectively.
Cons
- High price point : HubSpot can be expensive, especially as you scale up and require more advanced features.
- Steep learning curve : For businesses new to such comprehensive platforms, there might be an initial learning curve to utilise its features effectively.
4. Klaviyo
Klaviyo is a marketing automation software primarily focused on email and SMS messaging for e-commerce businesses. It’s designed to personalise and optimise customer communication.
Klaviyo integrates with e-commerce platforms like Shopify, making it a go-to solution for online stores. Its strength lies in its ability to use customer data to deliver targeted and effective marketing campaigns.
Key features
- Email marketing automation : Klaviyo allows users to send automated and personalised emails based on customer behaviour and preferences. This feature is crucial for e-commerce businesses in nurturing leads and maintaining customer engagement.
- SMS marketing : It includes SMS messaging capabilities, enabling businesses to engage customers directly through text messages.
- Segmentation and personalisation : Klaviyo offers advanced segmentation tools that enable businesses to categorise customers based on their behaviour, preferences and purchase history, facilitating highly targeted marketing efforts.
- Integration with e-commerce platforms : Klaviyo integrates with popular e-commerce platforms like Shopify, Magento, and WooCommerce, allowing easy data synchronisation and campaign management.
Pros
- Enhanced e-commerce integration : Klaviyo’s deep integration with e-commerce platforms greatly benefits online retailers regarding ease of use and campaign effectiveness.
- Advanced segmentation and personalisation : The platform’s strong segmentation capabilities enable businesses to tailor their marketing messages more effectively.
- Robust automation features : Klaviyo’s automation tools are powerful and user-friendly, saving time and improving marketing efficiency.
Cons
- Cost : Klaviyo can be more expensive than other options in this list, particularly as you scale up and add more contacts.
- Complexity for beginners : The platform’s wide range of features and advanced capabilities might overwhelm beginners or small businesses with simpler needs.
5. UserGuiding
UserGuiding is a no-code product adoption tool that lets businesses create in-app user walkthroughs, guides, and checklists to onboard, engage, and retain users.
UserGuiding facilitates customer segmentation by enabling businesses to create segmented onboarding flows, analyse behavioural insights, deliver personalised guidance, and collect feedback tailored to different user segments.
Key features
- In-app walkthroughs, guides and checklists : UserGuiding has multiple features that can promote product adoption early in the user journey.
- In-app messaging : UserGuiding offers in-app messaging to help users learn more about the product and various ways to get value.
- User feedback : UserGuiding allows businesses to gather qualitative feedback to streamline the adoption journey for users.
Pros
- User-friendly interface
- Customisable onboarding checklists
- Retention analytics
Cons
- Need for technical expertise to maximise all features
- Limited customisation options for less tech-savvy users
What to look for in a customer segmentation software
When choosing a customer segmentation software, choosing the right one for your specific business needs is important.
Here are a few factors to consider when choosing your customer segmentation tool :
- Ease of use : Select a tool with an intuitive interface that simplifies navigation. This enhances the user experience, making complex tasks more manageable. Additionally, responsive customer support is crucial. It ensures that issues are promptly resolved, contributing to a smoother operation.
- Scalability and flexibility : Your chosen tool should adjust to your needs. A flexible tool like Matomo can adjust to your growing requirements, offering capabilities that evolve as your business expands.
- Integration capabilities : The software should seamlessly integrate with your existing systems, such as CRM, marketing, and automation platforms.
- Advanced analytics and reporting : Assess the software’s capability to analyse and interpret complex data sets, without relying on machine learning to fill data gaps. A robust tool should provide accurate insights and detailed reports, enabling you to make informed decisions based on real data.
- Privacy and security considerations : Data security is paramount in today’s digital landscape. Look for features like data encryption, security storage, and adherence to privacy standards like GDPR and CCPA compliance.
- Reviews and recommendations : Before making a decision, consider the reputation of the software providers. Look for reviews and recommendations from other users, especially those in similar industries. This can provide real-world insights into the software’s performance and reliability.
Leverage Matomo’s segmentation capabilities to deliver personalised experiences
Segmentation is the best place to start if you want to deliver personalised customer experiences. There are several customer segmentation software in the market. But they’re not all the same.
In this article, we reviewed the top segmentation tools — based on factors like their user base, features, and ethical data privacy considerations.
Ideally, you want a tool to support your evolving business and segmentation needs. Not to mention one that cares about your customers’ privacy and ensures you stay compliant.
Enter Matomo at the top of the list. You can leverage Matomo’s accurate insights and comprehensive segmentation capabilities without compromising on privacy. Try it free for 21-days. No credit card required.
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