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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 (...) -
Demande de création d’un canal
12 mars 2010, par kent1En fonction de la configuration de la plateforme, l’utilisateur peu avoir à sa disposition deux méthodes différentes de demande de création de canal. La première est au moment de son inscription, la seconde, après son inscription en remplissant un formulaire de demande.
Les deux manières demandent les mêmes choses fonctionnent à peu près de la même manière, le futur utilisateur doit remplir une série de champ de formulaire permettant tout d’abord aux administrateurs d’avoir des informations quant à (...) -
Contribute to documentation
13 avril 2011Documentation is vital to the development of improved technical capabilities.
MediaSPIP welcomes documentation by users as well as developers - including : critique of existing features and functions articles contributed by developers, administrators, content producers and editors screenshots to illustrate the above translations of existing documentation into other languages
To contribute, register to the project users’ mailing (...)
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Top 4 CRO Tools to Boost Your Conversion Rates in 2024
31 octobre 2023, par ErinAre you tired of watching potential customers leave your website without converting ? You’ve spent countless hours creating an engaging website, but those high bounce rates keep haunting you.
The good news ? The solution lies in the transformative power of Conversion Rate Optimisation (CRO) tools. In this guide, we’ll dive deep into the world of CRO tools. We will equip you with strategies to turn those bounces into conversions.
Why are conversion rate optimisation tools so crucial ?
CRO tools can be assets in digital marketing, playing a pivotal role in enhancing online businesses’ performance. CRO tools empower businesses to improve website conversion rates by analysing user behaviour. You can then leverage this user data to optimise web elements.
Improving website conversion rates is paramount because it increases revenue and customer satisfaction. A study by VentureBeat revealed an average return on investment (ROI) of 223% thanks to CRO tools.
173 marketers out of the surveyed group reported returns exceeding 1,000%. Both of these data points highlight the impact CRO tools can have.
Coupled with CRO tools, certain testing tools and web analytics tools play a crucial role. They offer insight into user behaviour patterns, enabling businesses to choose effective strategies. By understanding what resonates with users, these tools help inform data-driven decisions. This allows businesses to refine online strategies and enhance the customer experience.
CRO tools enhance user experiences and ensure business sustainability. Integrating these tools is crucial for staying ahead. CRO and web analytics work together to optimise digital presence.
Real-world examples of CRO tools in action
In this section, we’ll explore real case studies showcasing CRO tools in action. See how businesses enhance conversion rates, user experiences, and online performance. These studies reveal the practical impact of data-driven decisions and user-focused strategies.
Case study : How Matomo’s Form Analytics helped Concrete CMS 3x leads
Concrete CMS, is a content management system provider that helps users build and manage websites. They used Matomo’s Form Analytics to uncover that users were getting stuck at the address input stage of the onboarding process. Using these insights to make adjustments to their onboarding form, Concrete CMS was able to achieve 3 times the amount of leads in just a few days.
Read the full Concrete CMS case study.
Best analytics tools for enhancing conversion rate optimisation in 2023
Jump to the comparison table to see an overview of each tool.
1. Matomo
Matomo stands out as an all-encompassing tool that seamlessly combines traditional web analytics features (like pageviews and bounce rates) with advanced behavioural analytics capabilities, providing a full spectrum of insights for effective CRO.
Key features
- Heatmaps and Session Recordings :
These features empower businesses to see their websites through the eyes of their visitors. By visually mapping user engagement and observing individual sessions, businesses can make informed decisions, enhance user experience and ultimately increase conversions. These tools are invaluable assets for businesses aiming to create user-friendly websites.
- Form Analytics :
Matomo’s Form Analytics offers comprehensive tracking of user interactions within forms. This includes covering input fields, dropdowns, buttons and submissions. Businesses can create custom conversion funnels and pinpoint form abandonment reasons.
- Users Flow :
Matomo’s Users Flow feature tracks visitor paths, drop-offs and successful routes, helping businesses optimise their websites. This insight informs decisions, enhances user experience, and boosts conversion rates.
- Surveys plugin :
The Matomo Surveys plugin allows businesses to gather direct feedback from users. This feature enhances understanding by capturing user opinions, adding another layer to the analytical depth Matomo offers.
- A/B testing :
The platform allows you to conduct A/B tests to compare different versions of web pages. This helps determine which performs better in conversions. By conducting experiments and analysing the results within Matomo, businesses can iteratively refine their content and design elements.
- Funnels :
Matomo’s Funnels feature empower businesses to visualise, analyse and optimise their conversion paths. By identifying drop-off points, tailoring user experiences and conducting A/B tests within the funnel, businesses can make data-driven decisions that significantly boost conversions and enhance the overall user journey on their websites.
Pros
- Starting at $19 per month, Matomo is an affordable CRO solution.
- Matomo guarantees accurate data, eliminating the need to fill gaps with artificial intelligence (AI) or machine learning.
- Matomo’s open-source framework ensures enhanced security, privacy, customisation, community support and long-term reliability.
Cons
- The On-Premise (self-hosted) version is free, with additional charges for advanced features.
- Managing Matomo On-Premise requires servers and technical know-how.
Try Matomo for Free
Get the web insights you need, without compromising data accuracy.
2. Google Analytics
Google Analytics provides businesses and website owners valuable insights into their online audience. It tracks website traffic, user interactions and analyses conversion data to enhance the user experience.
While Google Analytics may not provide the extensive CRO-specific features found in other tools on this list, it can still serve as a valuable resource for basic analysis and optimisation of conversion rates.
Key features
- Comprehensive Data Tracking :
Google Analytics meticulously tracks website traffic, user behaviour and conversion rates. These insights form the foundation for CRO efforts. Businesses can identify patterns, user bottlenecks and high-performing areas.
- Real-Time Reporting :
Access to real-time data is invaluable for CRO efforts. Monitor current website activity, user interactions, and campaign performance as they unfold. This immediate feedback empowers businesses to make instant adjustments, optimising web elements and content for maximum conversions.
- User flow analysis
Visualise and understand how visitors navigate through your website. It provides insights into the paths users take as they move from one page to another, helping you identify the most common routes and potential drop-off points in the user journey.
- Event-based tracking :
GA4’s event-based reporting offers greater flexibility and accuracy in data collection. By tracking various interactions, including video views and checkout processes, businesses can gather more precise insights into user behaviour.
- Funnels :
GA4 offers multistep funnels, path analysis, custom metrics that integrate with audience segments. These user behaviour insights help businesses to tailor their websites, marketing campaigns and user experiences.
Pros
- Flexible audience management across products, regions or brands allow businesses to analyse data from multiple source properties.
- Google Analytics integrates with other Google services and third-party platforms. This enables a comprehensive view of online activities.
- Free to use, although enterprises may need to switch to the paid version to accommodate higher data volumes.
Cons
- Google Analytics raises privacy concerns, primarily due to its tracking capabilities and the extensive data it collects.
- Limitations imposed by thresholding can significantly hinder efforts to enhance user experience and boost conversions effectively.
- Property and sampling limits exist. This creates problems when you’re dealing with extensive datasets or high-traffic websites.
- The interface is difficult to navigate and configure, resulting in a steep learning curve.
3. Contentsquare
Contentsquare is a web analytics and CRO platform. It stands out for its in-depth behavioural analytics. Contentsquare offers detailed data on how users interact with websites and mobile applications.
Key features
- Heatmaps and Session Replays :
Users can visualise website interactions through heatmaps, highlighting popular areas and drop-offs. Session replay features enable the playback of user sessions. These provide in-depth insights into individual user experiences.
- Conversion Funnel Analysis :
Contentsquare tracks users through conversion funnels, identifying where users drop off during conversion. This helps in optimising the user journey and increasing conversion rates.
- Segmentation and Personalisation :
Businesses can segment their audience based on various criteria. Segments help create personalised experiences, tailoring content and offers to specific user groups.
- Integration Capabilities :
Contentsquare integrates with various third-party tools and platforms, enhancing its functionality and allowing businesses to leverage their existing tech stack.
Pros
- Comprehensive support and resources.
- User-friendly interface.
- Personalisation capabilities.
Cons
- High price point.
- Steep learning curve.
4. Hotjar
Hotjar is a robust tool designed to unravel user behaviour intricacies. With its array of features including visual heatmaps, session recordings and surveys, it goes beyond just identifying popular areas and drop-offs.
Hotjar provides direct feedback and offers an intuitive interface, enabling seamless experience optimisation.
Key features
- Heatmaps :
Hotjar provides visual heatmaps that display user interactions on your website. Heatmaps show where users click, scroll, and how far they read. This feature helps identify popular areas and points of abandonment.
- Session Recordings :
Hotjar allows you to record user sessions and watch real interactions on your site. This insight is invaluable for understanding user behaviour and identifying usability issues.
- Surveys and Feedback :
Hotjar offers on-site surveys and feedback forms that can get triggered based on user behaviour. These tools help collect qualitative data from real users, providing valuable insights.
- Recruitment Tool :
Hotjar’s recruitment tool lets you recruit participants from your website for user testing. This feature streamlines the process of finding participants for usability studies.
- Funnel and Form Analysis :
Hotjar enables the tracking of user journeys through funnels. It provides insights into where users drop off during the conversion process. It also offers form analysis to optimise form completion rates.
- User Polls :
You can create customisable polls to engage with visitors. Gather specific feedback on your website, products, or services.
Pros
- Starting at $32 per month, Hotjar is a cost-effective solution for most businesses.
- Hotjar provides a user-friendly interface that is easy for the majority of users to pick up quickly.
Cons
- Does not provide traditional web analytics and requires combining with another tool, potentially creating a less streamlined and cohesive user experience, which can complicate conversion rate optimization efforts.
- Hotjar’s limited integrations can hinder its ability to seamlessly work with other essential tools and platforms, potentially further complicating CRO.
Comparison Table
Please note : We aim to keep this table accurate and up to date. However, if you see any inaccuracies or outdated information, please email us at marketing@matomo.org
To make comparing these tools even easier, we’ve put together a table for you to compare features and price points :
Conclusion
CRO tools and web analytics are essential for online success. Businesses thrive by investing wisely, understanding user behaviour and using targeted strategies. The key : generate traffic and convert it into leads and customers. The right tools and strategies lead to remarkable conversions and online success. Each click, each interaction, becomes an opportunity to create an engaging user journey. This careful orchestration of data and insight separates thriving businesses from the rest.
Are you ready to embark on a journey toward improved conversions and enhanced user experiences ? Matomo offers analytics solutions meticulously designed to complement your CRO strategy. Take the next step in your CRO journey. Start your 21-day free trial today—no credit card required.
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21 day free trial. No credit card required.
- Heatmaps and Session Recordings :
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7 Benefits Segmentation Examples + How to Get Started
26 mars 2024, par ErinEvery copywriter knows the importance of selling a product’s benefits, not its features. So why should your marketing efforts be different ?
Answer : they shouldn’t.
It’s time to stop using demographic or behavioural traits to group customers and start using benefits segmentation instead.
Benefits segmentation groups your customers based on the value they get from your product or service. In this article, we’ll cover seven real-life examples of benefits segmentation, explain why it’s so powerful and show how to get started today.
What is benefits segmentation ?
Benefits segmentation is a way for marketers to group their target market based on the value they get from their products or services. It is a form of customer segment marketing. Other types of market segmentation include :
- Geographic segmentation
- Demographic segmentation
- Psychographic segmentation
- Behavioural segmentation
- Firmographic segmentation
Customers could be the same age, from the same industry and live in the same location but want drastically different things from the same product. Some may like the design of your products, others the function, and still more the price.
Whatever the benefits, you can make your marketing more effective by building advertising campaigns around them.
Why use benefits segmentation ?
Appealing to the perceived benefits of your product is a powerful marketing strategy. Here are the advantages of you benefit segmentation can expect :
More effective marketing campaigns
Identifying different benefits segments lets you create much more targeted marketing campaigns. Rather than appeal to a broad customer base, you can create specific ads and campaigns that speak to a small part of your target audience.
These campaigns tend to be much more powerful. Benefits-focused messaging better resonates with your audience, making potential customers more likely to convert.
Better customer experience
Customers use your products for a reason. By showing you understand their needs through benefits segmentation, you deliver a much better customer experience — in terms of messaging and how you develop new products.
In today’s world, experience matters. 80% of customers say a company’s experience is as important as its products and services.
Stronger customer loyalty
When products or services are highly targeted at potential customers, they are more likely to return. More than one-third (36%) of customers would return to a brand if they had a positive experience, even if cheaper or more convenient alternatives exist.
Using benefits segmentation will also help you attract the right kind of people in the first place — people who will become long-term customers because your benefits align with their needs.
Improved products and services
Benefits segmentation makes it easier to tailor products or services to your audiences’ wants and needs.
Rather than creating a product meant to appeal to everyone but doesn’t fulfil a real need, your team can create different ranges of the same product that target different benefits segments.
Higher conversion rates
Personalising your pitch to individual customers is powerful. It drives performance and creates better outcomes for your target customer. Companies that grow faster drive 40 per cent more revenue from personalisation than their slower-growing counterparts.
When sales reps understand your product’s benefits, talking to customers about them and demonstrating how the product solves particular pain points is much easier.
In short, benefits segmentation can lead to higher conversion rates and a better return on investment.
7 examples of benefits segmentation
Let’s take a look at seven examples of real-life benefits segmentation to improve your understanding :
Nectar
Mattress manufacturer Nectar does a great job segmenting their product range by customer benefits. That’s a good thing, given how many different things people want from their mattress.
It’s not just a case of targeting back sleepers vs. side sleepers ; they focus on more specific benefits like support and cooling.
Take a look at the screenshot above. Nectar mentions the benefits of each mattress in multiple places, making it easy for customers to find the perfect mattress. If you care about value, for example, you might choose “The Nectar.” If pressure relief and cooling are important to you, you might pick the “Nectar Premier.”
24 Hour Fitness
A gym is a gym is a gym, right ? Not when people use it to achieve different goals, it’s not. And that’s what 24 Hour Fitness exploits when they sell memberships to their audience.
As you can see from its sales page, 24 Hour Fitness targets the benefits that different customers get from their products :
Customers who just care about getting access to weights and treadmills for as cheap as possible can buy the Silver Membership.
But getting fit isn’t the only reason people go to the gym. That’s why 24 Hour Fitness targets its Gold Membership to those who want the “camaraderie” of studio classes led by “expert instructors.”
Finally, some people value being able to access any club, anywhere in the country. Consumers value flexibility greatly, so 24 Hour Fitness limits this perk to its top-tier membership.
Notion
Notion is an all-in-one productivity and note-taking app that aims to be the only productivity tool people and teams need. Trying to be everything to all people rarely works, however, which is why Notion cleverly tweaks its offering to appeal to the desires of different customer segments :
For price-conscious individuals, it provides a pared solution that doesn’t bloat the user experience with features or benefits these consumers don’t care about.
The Plus tier is the standard offering for teams who need a way to collaborate online. Still, there are two additional tiers for businesses that target specific benefits only certain teams need.
For teams that benefit from a longer history or additional functionality like a bulk export, Notion offers the Business tier at almost double the price of the standard Plus tier. Finally, the Enterprise tier for businesses requires much more advanced security features.
Apple
Apple is another example of a brand that designs and markets products to customers based on specific benefits.
Why doesn’t Apple just make one really good laptop ? Because customers want different things from them. Some want the lightest or smallest laptop possible. Others need ones with higher processing power or larger screens.
One product can’t possibly deliver all those benefits. So, by understanding the precise reasons people need a laptop, Apple can create and market products around the benefits that are most likely to be sold.
Tesla
In the same way Apple understands that consumers need different things from their laptops, Tesla understands that consumers derive different benefits from their cars.
It’s why the company sells four cars (and now a truck) that cover various sizes, top speeds, price points and more.
Tesla even asks customers about the benefits they want from their car when helping them to choose a vehicle. By asking customers to pick how they will use their new vehicle, Tesla can ensure the car’s benefits match up to the consumers’ goals.
Dynamite Brands
Dynamite Brands is a multi-brand, community-based business that targets remote entrepreneurs around the globe. But even this heavily niched-down business still needs to create benefit segments to serve its audience better.
It’s why the company has built several different brands instead of trying to serve every customer under a single banner :
If you just want to meet other like-minded entrepreneurs, you can join the Dynamite Circle, for example. But DC Black might be a better choice if you care more about networking and growing your business.
It’s the same with the two recruiting brands. Dynamite Jobs targets companies that just want access to a large talent pool. Remote First Recruiting targets businesses that benefit from a more hands-on approach to hiring where a partner does the bulk of the work.
Garmin
Do you want your watch to tell the time or do you want it to do more ? If you fall into the latter category, Garmin has designed dozens of watches that target various benefits.
Do you want a watch that tracks your fitness without looking ugly ? Buy the Venu.
Want a watch designed for runners ? Buy the Forerunner.
Do you need a watch that can keep pace with your outdoor lifestyle ? Buy the Instinct.
Just like Apple, Garmin can’t possibly design a single watch that delivers all these benefits. Instead, each watch is carefully built for the target customer’s needs. Yes, it makes the target market smaller, but it makes the product more appealing to those who care about those benefits.
How to get started with benefits segmentation
According to Gartner, 63% of digital marketing leaders struggle with personalisation. Don’t be one of them. Here’s how you can improve your personalisation efforts using benefits segmentation.
Research and define benefits
The first step to getting started with benefit segmentation is understanding all the benefits customers get from your products.
You probably already know some of the benefits, but don’t underestimate the importance of customer research. Hold focus groups, survey customers and read customer reviews to discover what customers love about your products.
Create benefit-focused customer personas
Now you understand the benefits, it’s time to create customer personas that reflect them. Group consumers who like similar benefits and see if they have any other similarities.
Price-conscious consumers may be younger. Maybe people who care about performance have a certain type of job. The more you can do to flesh out what the average benefits-focused consumer looks like, the easier it will be to create campaigns.
Create campaigns focused on each benefit
Now, we get to the fun part. Make the benefit-focused customer personas you created in the last step the focus of your marketing campaigns going forward.
Don’t try to appeal to everyone. Just make your campaigns appeal to these people.
Go deeper with segmentation analytics
The quality of your benefit segmentation strategy hinges on the quality of your data. That’s why using a an accurate web analytics solution like Matomo to track how each segment behaves online using segmentation analytics is important.
This data can make your marketing campaigns more targeted and effective.
Benefits segmentation in practice
Let’s say you have an e-commerce website selling a wide range of household items, and you want to create a benefit segment for “Tech Enthusiasts” who are interested in the latest gadgets and cutting-edge technology. You want to track and analyse their behaviour separately to tailor marketing campaigns or website content specifically for this group.
- Identify characteristics : Determine key characteristics or behaviours that define the “Tech Enthusiasts” segment.
This might include frequent visits to product pages of the latest tech products, site searches that contain different tech product names, engaging with tech-specific content in emails or spending more time on technology-related blog posts.
One quick and surefire way to identify characteristics of a segment is to look historically at specific tech product purchases in your Matomo and work your way backwards to find out what steps a “Tech Enthusiast” takes before making a purchase. For instance, you might look at User Flows to discover this.
- Create segments in Matomo : Using Matomo’s segmentation features, you can create a segment that includes users exhibiting these characteristics. For instance :
- Segment by page visits : Create a segment that includes users who visited tech product pages or spent time on tech blogs.
- Segment by event tracking : If you’ve set up event tracking for specific actions (like clicking on “New Tech” category buttons), create a segment based on these events.
- Combine conditions : Combine various conditions (e.g., pages visited, time spent, specific actions taken) to create a comprehensive segment that accurately represents “Tech Enthusiasts.”
- Track and analyse : Apply this segment to your analytics data in Matomo to track and analyse the behaviour of this group separately. Monitor metrics like their conversion rates, time spent on site or specific products they engage with.
- Tailor marketing : Use the insights from analysing this segment to tailor marketing strategies. This could involve creating targeted campaigns or customising website content to cater specifically to these users.
Remember, the key is to define criteria that accurately represent the segment you want to target, use Matomo’s segmentation tools to isolate this group, and effectively derive actionable insights to cater to their preferences or needs.
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Get the web insights you need, without compromising data accuracy.
Track your segmentation efforts
Benefits segmentation is a fantastic way to improve your marketing. It can help you deliver a better customer experience, improve your product offering and help your sales reps close more deals.
Segmenting your audience with an analytics platform lets you go even deeper. But doing so in a privacy-sensitive way can be difficult.
That’s why over 1 million websites choose Matomo as their web analytics solution. Matomo provides exceptional segmentation capabilities while remaining 100% accurate and compliant with global privacy laws.
Find out how Matomo’s insights can level up your marketing efforts with our 21-day free trial, no credit card required.
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21 day free trial. No credit card required.
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Six Best Amplitude Alternatives
10 décembre 2024, par Daniel CroughProduct analytics is big business. Gone are the days when we could only guess what customers were doing with our products or services. Now, we can track, visualise, and analyse how they interact with them and, with that, constantly improve and optimise.
The problem is that many product analytics tools are expensive and complicated — especially for smaller businesses. They’re also packed with functionality more attuned to the needs of massive companies.
Amplitude is such a tool. It’s brilliant and it has all the bells and whistles that you’ll probably never need. Fortunately, there are alternatives. In this guide, we’ll explore the best of those alternatives and, along the way, provide the insight you’ll need to select the best analytics tool for your organisation.
Amplitude : a brief overview
To set the stage, it makes sense to understand exactly what Amplitude offers. It’s a real-time data analytics tool for tracking user actions and gaining insight into engagement, retention, and revenue drivers. It helps you analyse that data and find answers to questions about what happened, why it happened, and what to do next.
However, as good as Amplitude is, it has some significant disadvantages. While it does offer data export functionality, that seems deliberately restricted. It allows data exports for specific events, but it’s not possible to export complete data sets to manipulate or format in another tool. Even pulling it into a CSV file has a 10,000-row limit. There is an API, but not many third-party integration options.
Getting data in can also be a problem. Amplitude requires manual tags on events that must be tracked for analysis, which can leave holes in the data if every possible subsequent action isn’t tagged. That’s a time-consuming exercise, and it’s made worse because those tags will have to be updated every time the website or app is updated.
As good as it is, it can also be overwhelming because it’s stacked with features that can create confusion for novice or inexperienced analysts. It’s also expensive. There is a freemium plan that limits functionality and events. Still, when an organisation wants to upgrade for additional functionality or to analyse more events, the step up to the paid plan is massive.
Lastly, Amplitude has made some strides towards being a web analytics option, but it lacks some basic functionality that may frustrate people who are trying to see the full picture from web to app.
Snapshot of Amplitude alternatives
So, in place of Amplitude, what product analytics tools are available that won’t break the bank and still provide the functionality needed to improve your product ? The good news is that there are literally hundreds of alternatives, and we’ve picked out six of the best.
- Matomo – Best privacy-focused web and mobile analytics
- Mixpanel – Best for product analytics
- Google Analytics – Best free option
- Adobe Analytics – Best for predictive analytics
- Umami – Best lightweight tool for product analytics
- Heap – Best for automatic user data capture
A more detailed analysis of the Amplitude alternatives
Now, let’s dive deeper into each of the six Amplitude alternatives. We’ll cover standout features, integrations, pricing, use cases and community critiques. By the end, you’ll know which analytics tool can help optimise website and app performance to grow your business.
1. Matomo – Best privacy-friendly web and app analytics
Privacy is a big concern these days, especially for organisations with a presence in the European Union (EU). Unlike other analytics tools, Matomo ensures you comply with privacy laws and regulations, like the General Data Protection Regulation (GDPR) and California’s Consumer Privacy Act (CCPA).
Matomo helps businesses get the insights they need without compromising user privacy. It’s also one of the few self-hosted tools, ensuring data never has to leave your site.
Matomo is open-source, which is also rare in this class of tools. That means it’s available for anyone to adapt and customise as they wish. Everything you need to build custom APIs is there.
The Locations page in Matomo shows the countries, continents, regions, and cities where website traffic originates. Its most useful capabilities include visitor logs and session recordings to trace the entire customer journey, spot drop-off points, and fine-tune sales funnels. The platform also comes with heatmaps and A/B testing tools. Heatmaps provide a useful visual representation of your data, while A/B testing allows for more informed, data-driven decisions.
Despite its range of features, many reviewers laud Matomo’s user interface for its simplicity and user-friendliness.
Why Matomo : Matomo is an excellent alternative because it fills in the gaps where Amplitude comes up short, like with cookieless tracking. Also, while Amplitude focuses mainly on behavioural analytics, Matomo offers both behavioural and traditional analytics, which allows more profound insight into your data. Furthermore, Matomo fully complies with the strictest privacy regulations worldwide, including GDPR, LGPD, and HIPAA.
Standout features include multi-touch attribution, visits log, content engagement, ecommerce, customer segments, event tracking, goal tracking, custom dimensions, custom reports, automated email reports, tag manager, sessions recordings, roll-up reporting that can pull data from multiple websites or mobile apps, Google Analytics importer, Matomo tag manager, comprehensive visitor tracking, heatmaps, and more.
Integrations with 100+ technologies, including Cloudflare, WordPress, Magento, Google Ads, Drupal, WooCommerce, Vue, SharePoint and Wix.
Pricing is free for Matomo On-Premise and $23 per month for Matomo Cloud, which comes with a 21-day free trial (no credit card required).
Strengths
- Privacy focused
- Cookieless consent banners
- 100% accurate, unsampled data
- Open-source code
- Complete data ownership (no sharing with third parties)
- Self-hosting and cloud-based options
- Built-in GDPR Manager
- Custom alerts, white labelling, dashboards and reports
Community critiques
- Premium features are expensive and proprietary
- Learning curve for non-technical users
2. Mixpanel – Best for product analytics
Mixpanel is a dedicated product analytics tool. It tracks and analyses customer interactions with a product across different platforms and helps optimise digital products to improve the user experience. It works with real-time data and can provide answers from customer and revenue data in seconds.
It also presents data visualisations to show how customers interact with products.
Mixpanel allows you to play around filters and views to reveal and chart some useful customer trends. (Image source)
Why Mixpanel : One of the strengths of this platform is the ability to test hypotheses. Need to test an ambitious idea ? Mixpanel data can do it with real user analytics. That allows you to make data-driven decisions to find the best path forward.
Standout features include automatic funnel segment analysis, behavioural segmentation, cohort segmentation, collaboration support, customisable dashboards, data pipelines, filtered data views, SQL queries, warehouse connectors and a wide range of pre-built integrations.
Integrations available include Appcues, AppsFlyer, AWS, Databox, Figma, Google Cloud, Hotjar, HubSpot, Intercom, Integromat, MailChimp, Microsoft Azure, Segment, Slack, Statsig, VWO, Userpilot, WebEngage, Zapier, ZOH) and dozens of others.
Pricing starts with a freemium plan valid for up to 20 million events per month. The growth plan is affordable at $25 per month and adds features like no-code data transformations and data pipeline add-ons. The enterprise version runs at a monthly cost of $833 and provides the full suite of features and services and premium support.
There’s a caveat. Those prices only allow up to 1,000 Monthly Tracked Users (MTUs), calculated based on the number of visitors that perform a qualifying event each month. Beyond that, MTU plans start at $20,000 per year.
Strengths
- User behaviour and interaction tracking
- Unlimited cohort segmentation capabilities
- Drop-off analysis showing where users get stuck
- A/B testing capabilities
Community critiques
- Expensive enterprise features
- Extensive setup and configuration requirements
3. Google Analytics 4 – Best free web analytics tool
The first thing to know about Google Analytics 4 is that it’s a web analytics tool. In other words, it tracks sessions, not user behaviours in app environments. It can provide details on how people found your website and how they go there, but it doesn’t offer much detail on how people use your product.
There is also an enterprise version, Google Analytics 360, which is not free. We’ve broken down the differences between the two versions elsewhere.
GA4’s audience overview shows visitors, sessions, session lengths, bounce rates, and user engagement data. (Image source)
Why Google Analytics : It’s great for gauging the effectiveness of marketing campaigns, tracking goal completions (purchases, cart additions, etc.) and spotting trends and patterns in user engagement.
Standout features include built-in automation, customisable conversion goals, data drill-down functionality, detailed web acquisition metrics, media spend ROI calculations and out-of-the-box web analytics reporting.
Integrations include all major CRM platforms, CallRail, DoubleClick DCM, Facebook, Hootsuite, Marketo, Shopify, VWO, WordPress, Zapier and Zendesk, among many others.
Pricing is free for the basic version (Google Analytics 4) and scales based on features and data volume. The advanced features (in Google Analytics 360) are pitched at enterprises, and pricing is custom.
Strengths
- Free to start
- Multiple website management
- Traffic source details
- Up-to-date traffic data
Community critiques
- Steep learning curve
- Data sampling
4. Adobe Analytics – Best for predictive analytics
A fully configured Adobe Analytics implementation is the Swiss army knife of analytics tools. It begins with web analytics, adds product analytics, and then wraps it up nicely with predictive analytics.
Unlike all the Amplitude alternatives here, there’s no free version. Adobe Analytics has a complicated pricing matrix with options like website analytics, marketing analytics, attribution, and predictive analytics. It also has a wide range of customisation options that will appeal to large businesses. But for smaller organisations, it may all be a bit too much.
Mixpanel allows you to play around filters and views to reveal and chart some useful customer trends. (Image source)
Adobe Analytics’ cross-channel attribution ties actions from different channels into a single customer journey. (Image source)
Why Adobe Analytics : For current Adobe customers, this is a logical next step. Either way, Adobe Analytics can combine, evaluate, and analyse data from any part of the customer journey. It analyses that data with predictive intelligence to provide insights to enhance customer experiences.
Standout features include AI-powered prediction analysis, attribution analysis, multi-channel data collection, segmentation and detailed customer journey analytics, product analytics and web analytics.
Integrations are available through the Adobe Experience Cloud Exchange. Adobe Analytics also supports data exchange with brands such as BrightEdge, Branch.io, Google Ads, Hootsuite, Invoca, Salesforce and over 200 other integrations.
Pricing starts at $500 monthly, but prospective customers are encouraged to contact the company for a needs-based quotation.
Strengths
- Drag-and-drop interface
- Flexible segmentation
- Easy-to-create conversion funnels
- Threshold-based alerts and notifications
Community critiques
- No free version
- Lack of technical support
- Steep learning curve
5. Umami – Best lightweight tool for web analytics
The second of our open-source analytics solutions is Umami, a favourite in the software development community. Like Matomo, it’s a powerful and privacy-focused alternative that offers complete data control and respects user privacy. It’s also available as a cloud-based freemium plan or as a self-hosted solution.
Umami’s dashboard reveals the busiest times of day and which pages are visited when.(Image source)
Why Umami : Unami has a clear and simple user interface (UI) that lets you measure important metrics such as page visits, referrers, and user agents. It also features event tracking, although some reviewers complain that it’s quite limited.
Standout features can be summed up in five words : privacy, simplicity, lightweight, real-time, and open-source. Unami’s UI is clean, intuitive and modern, and it doesn’t slow down your website.
Integrations include plugins for VuePress, Gatsby, Craft CMS, Docusaurus, WordPress and Publii, and a module for Nuxt. Unami’s API communicates with Javascript, PHP Laravel and Python.
Pricing is free for up to 100k monthly events and three websites, but with limited support and data retention restrictions. The Pro plan costs $20 a month and gives you unlimited websites and team members, a million events (plus $0.00002 for each event over that), five years of data and email support. Their Enterprise plan is priced custom.
Strengths
- Freemium plan
- Open-source
- Lightweight
Community critiques
- Limited support options
- Data retention restrictions
- No funnel functionality
6. Heap – Best for automatic data capture
Product analytics with a twist is a good description of Heap. It features event auto-capture to track user interactions across all touchpoints in the user journey. This lets you fully understand how and why customers engage with your product and website.
Using a single Javascript snippet, Heap automatically collects data on everything users do, including how they got to your website. It also helps identify how different cohorts engage with your product, providing the critical insights teams need to boost conversion rates.
Heap’s journeys feature combines funnel and path analysis. (Image source)
Why Heap : The auto-capture functionality solves a major shortcoming of many product analytics tools — manual tracking. Instead of having to set up manual tags on events, Heap automatically captures all data on user activity from the start.
Standout features include event auto-capture, session replay, heatmaps, segments (or cohorts) and journeys, the last of which combines the functions of funnel and path analysis tools into a single feature.
Integrations include AWS, Google, Microsoft Azure, major CRM platforms, Snowflake and many other data manipulation platforms.
Pricing is quote-based across all payment tiers. There is also a free plan and a 14-day free trial.
Strengths
- Session replay
- Heatmaps
- User segmentation
- Simple setup
- Event auto-capture
Community critiques
- No A/B testing functionality
- No GDPR compliance support
Choosing the best solution for your team
When selecting a tool, it’s crucial to understand how product analytics and web analytics solutions differ.
Product analytics tools track users or accounts and record the features they use, the funnels they move through, and the cohorts they’re part of. Web analytics tools focus more on sessions than users because they’re interested in data that can help improve website usage.
Some tools combine product and web analytics to do both of these jobs.
Area of focus
Product analytics tools track user behaviour within SaaS- or app-based products. They’re helpful for analysing features, user journeys, engagement metrics, product development and iteration.
Web analytics tools analyse web traffic, user demographics, and traffic sources. They’re most often used for marketing and SEO insights.
Level of detail
Product analytics tools provide in-depth tracking and analysis of user interactions, feature usage, and cohort analysis.
Web analytics tools provide broader data on page views, bounce rates, and conversion tracking to analyse overall site performance.
Whatever tools you try, your first step should be to search for reviews online to see what people who’ve used them think about them. There are some great review sites you can try. See what people are saying on Capterra, G2, Gartner Peer Insights, or TrustRadius.
Use Matomo to power your web and app analytics
Web and product analytics is a competitive field, and there are many other tools worth considering. This list is a small cross-section of what’s available.
That said, if you have concerns about privacy and costs, consider choosing Matomo. Start your 21-day free trial today.
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