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Ajouter notes et légendes aux images
7 février 2011, par kent1Pour pouvoir ajouter notes et légendes aux images, la première étape est d’installer le plugin "Légendes".
Une fois le plugin activé, vous pouvez le configurer dans l’espace de configuration afin de modifier les droits de création / modification et de suppression des notes. Par défaut seuls les administrateurs du site peuvent ajouter des notes aux images.
Modification lors de l’ajout d’un média
Lors de l’ajout d’un média de type "image" un nouveau bouton apparait au dessus de la prévisualisation (...) -
Emballe médias : à quoi cela sert ?
4 février 2011, par kent1Ce plugin vise à gérer des sites de mise en ligne de documents de tous types.
Il crée des "médias", à savoir : un "média" est un article au sens SPIP créé automatiquement lors du téléversement d’un document qu’il soit audio, vidéo, image ou textuel ; un seul document ne peut être lié à un article dit "média" ; -
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 (...)
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7 Ecommerce Metrics to Track and Improve in 2024
12 avril 2024, par ErinYou can invest hours into market research, create the best ads you’ve ever seen and fine-tune your budgets. But the only way to really know if your digital marketing campaigns move the needle is to track ecommerce metrics.
It’s time to put your hopes and gut feelings aside and focus on the data. Ecommerce metrics are key performance indicators that can tell you a lot about the performance of a single campaign, a traffic source or your entire marketing efforts.
That’s why it’s essential to understand what ecommerce metrics are, key metrics to track and how to improve them.
Ready to do all of the above ? Then, let’s get started.
What are ecommerce metrics ?
An ecommerce metric is any metric that helps you understand the effectiveness of your digital marketing efforts and the extent to which users are taking a desired action. Most ecommerce metrics focus on conversions, which could be anything from making a purchase to subscribing to your email list.
You need to track ecommerce metrics to understand how well your marketing efforts are working. They are essential to helping you run a cost-effective marketing campaign that delivers a return on investment.
For example, tracking ecommerce metrics will help you identify whether your digital marketing campaigns are generating a return on investment or whether they are actually losing money. They also help you identify your most effective campaigns and traffic sources.
Ecommerce metrics also help you spot opportunities for improvement both in terms of your marketing campaigns and your site’s UX.
For instance, you can use ecommerce metrics to track the impact on revenue of A/B tests on your marketing campaigns. Or you can use them to understand how users interact with your website and what, if anything, you can do to make it more engaging.
What’s the difference between conversion rate and conversion value ?
The difference between a conversion rate and a conversion value is that the former is a percentage while the latter is a monetary value.
There can be confusion between the terms conversion rate and conversion value. Since conversions are core metrics in ecommerce, it’s worth taking a minute to clarify.
Conversion rates measure the percentage of people who take a desired action on your website compared to the total number of visitors. If you have 100 visitors and one of them converts, then your conversion rate is 1%.
Here’s the formula for calculating your conversion rate :
Conversion Rate (%) = (Number of conversions / Total number of visitors) × 100
Using the example above :
Conversion Rate = (1 / 100) × 100 = 1%
Conversion value is a monetary amount you assign to each conversion. In some cases, this is the price of the product a user purchases. In other conversion events, such as signing up for a free trial, you may wish to assign a hypothetical conversion value.
To calculate a hypothetical conversion value, let’s consider that you have estimated the average revenue generated from a paying customer is $300. If the conversion rate from free trial to paying customer is 20%, then the hypothetical conversion value for each free trial signup would be $300 multiplied by 20%, which equals $60. This takes into account the number of free trial users who eventually become paying customers.
So the formula for hypothetical conversion value looks like this :
Hypothetical conversion value = (Average revenue per paying customer) × (Conversion rate)
Using the values from our example :
Hypothetical conversion value = $300 × 20% = $60
The most important ecommerce metrics and how to track them
There are dozens of ecommerce metrics you could track, but here are seven of the most important.
Conversion rate
Conversion rate is the percentage of visitors who take a desired action. It is arguably one of the most important ecommerce metrics and a great top-level indicator of the success of your marketing efforts.
You can measure the conversion rate of anything, including newsletter signups, ebook downloads, and product purchases, using the following formula :
Conversion rate = (Number of people who took action / Total number of visitors) × 100
You usually won’t have to manually calculate your conversion rate, though. Almost every web analytics or ad platform will track the conversion rate automatically.
Matomo, for instance, automatically tracks any conversion you set in the Goals report.
As you can see in the screenshot, your site’s conversions are plotted over a period of time and the conversion rate is tracked below the graph. You can change the time period to see how your conversion rate fluctuates.
If you want to go even further, track your new visitor conversion rate to see how engaging your site is to first-time visitors.
Try Matomo for Free
Get the web insights you need, without compromising data accuracy.
Cost per acquisition
Cost per acquisition (CPA) is the average cost of acquiring a new user. You can calculate your overall CPA or you can break CPA down by email campaign, traffic source, or any other criteria.
Calculate CPA by dividing your total marketing cost by the number of new users you acquire.
CPA = Total marketing cost / Number of new users acquired
So if your Google Ads campaign costs €1,000 and you acquire 100 new users, your CPA is €10 (1000/100=10).
It’s important to note that CPA is not the same as customer acquisition cost. Customer acquisition cost considers the number of paying customers. CPA looks at the number of users taking a certain action, like subscribing to a newsletter, making a purchase, or signing up for a free trial.
Cost per acquisition is a direct measure of your marketing efforts’ effectiveness, especially when comparing CPA to average customer spend and return on ad spend.
If your CPA is higher than the average customer spend, your marketing campaign is profitable. If not, then you can look at ways to either increase customer spend or decrease your cost per acquisition.
Customer lifetime value
Customer lifetime value (CLV) is the average amount of money a customer will spend with your ecommerce brand over their lifetime.
Customer value is the total worth of a customer to your brand based on their purchasing behaviour. To calculate it, multiply the average purchase value by the average number of purchases. For instance, if the average purchase value is €50 and customers make 5 purchases on average, the customer value would be €250.
Use this formula to calculate customer value :
Customer value = Average purchase value × Average number of purchases
Then you can calculate customer lifetime value using the following formula :
CLV = Customer value × Average customer lifespan
In another example, let’s say you have a software company and customers pay you €500 per year for an annual subscription. If the average customer lifespan is 5 years, then the Customer Lifetime Value (CLV) would be €2,500.
Customer lifetime value = €500 × 5 = €2,500
Knowing how much potential customers are likely to spend helps you set accurate marketing budgets and optimise the price of your products.
Return on investment
Return on investment (ROI) is the amount of revenue your marketing efforts generate compared to total spend.
It’s usually calculated as a percentage using the following formula :
ROI = (Revenue / Total spend) × 100
If you spend €1,000 on a paid ad campaign and your efforts bring in €5,000, then your ROI is 500% (5,000/1,000 × 100).
With a web analytics tool like Matomo, you can quickly see the revenue generated from each traffic source and you can drill down further to compare different social media channels, search engines, referral websites and campaigns to get more granular view.
In the example above in Matomo’s Marketing Attribution feature, we can see that social networks are generating the highest amount of revenue in the year. To calculate ROI, we would need to compare the amount of investment to each channel.
Let’s say we invested $1,000 per year in search engine optimisation and content marketing, the return on investment (ROI) stands at approximately 2576%, based on a revenue of $26,763.48 per year.
Conversely, for organic social media campaigns, where $5,000 was invested and revenue amounted to $71,180.22 per year, the ROI is approximately 1323%.
Despite differences in revenue generation, both channels exhibit significant returns on investment, with SEO and content marketing demonstrating a much higher ROI compared to organic social media campaigns.
With that in mind, we might want to consider shifting our marketing budget to focus more on search engine optimisation and content marketing as it’s a greater return on investment.
Try Matomo for Free
Get the web insights you need, without compromising data accuracy.
Return on ad spend
Return on ad spend (ROAS) is similar to return on investment, but it measures the profitability of a specific ad or campaign.
Calculate ROAS using the following formula :
ROAS = Revenue / Ad cost
A positive ROAS means you are making money. If you generate €3 for every €1 you spend on advertising, for example, there’s no reason to turn off that campaign. If you only make €1 for every €2 you spend, however, then you need to shut down the campaign or optimise it.
Bounce rate
Bounce rate is the percentage of visitors who leave your site without taking another action. Calculate it using the following formula :
Bounce rate = (Number of visitors who bounce / Total number of visitors) × 100
Some portion of users will always leave your site immediately, but you should aim to make your bounce rate as low as possible. After all, every customer that bounces is a missed opportunity that you may never get again.
You can check the bounce rate for each one of your site’s pages using Matomo’s page analytics report. Web analytics tools like Google Analytics can track bounce rates for online stores also.
Bounce rate is calculated automatically. You can sort the list of pages by bounce rate allowing you to prioritise your optimisation efforts.
Don’t stop there, though. Explore bounce rate further by comparing your mobile bounce rate vs. desktop bounce rate by segmenting your traffic. This will highlight whether your mobile site needs improving.
Try Matomo for Free
Get the web insights you need, without compromising data accuracy.
Click-through rate
Your clickthrough rate (CTR) tells you the number of people who click on your ads as a percentage of total impressions. You can calculate it by dividing the number of clicks your ad gets by the total number of times people see it.
So the formula looks like this :
CTR (%) = (Number of clicks / Total impressions) × 100
If an ad gets 1,000 impressions and 10 people click on it, then the CTR will be 10/1,000 × 100 = 1%
You don’t usually need to calculate your clickthrough rate manually, however. Most ad platforms like Google Ads will automatically calculate CTR.
What is considered a good ecommerce sales conversion rate ?
This question is so broad it’s almost impossible to answer. The thing is, sales conversion rates vary massively depending on the conversion event and the industry. A good conversion rate in one industry might be terrible in another.
That being said, research shows that the average website conversion rate across all industries is 2.35%. Of course, some websites convert much better than this. The same study found that the top 25% of websites across all industries have a conversion rate of 5.31% or higher.
How can you improve your conversion rate ?
Ecommerce metrics don’t just let you track your campaign’s ROI, they help you identify ways to improve your campaign.
Use these five tips to start improving your marketing campaign’s conversion rates today :
Run A/B tests
The most effective way to improve almost all of the ecommerce metrics you track is to test, test, and test again.
A/B testing or multivariate testing compares two different versions of the same content, such as a landing page or blog post. Seeing which version performs better can help you squeeze as many conversions as possible from your website and ad campaigns. But only if you test as many things as possible. This should include :
- Ad placement
- Ad copy
- CTAs
- Headlines
- Straplines
- Colours
- Design
To create and analyse tests and their results effectively, you’ll need either an A/B testing platform or a web analytics solution like Matomo, which offers one out of the box.
Matomo’s A/B Testing feature makes it easy to create and track tests over time, breaking down each test’s variations by the metrics that matter. It automatically calculates statistical significance, too, meaning you can be sure you’re making a change for the better.
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Get the web insights you need, without compromising data accuracy.
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B2B Marketing Attribution Guide : How to Master It in 2024
21 mai 2024, par ErinThe last thing you want is to invest your advertising dollars in channels, campaigns and ads that don’t work. But B2B marketing attribution — figuring out which marketing efforts drive revenue — is far from easy.
With longer sales funnels and multiple people from the same company involved in the same sales process, B2B (business-to-business) is a different ballgame from B2C (business-to-consumer) marketing.
In this guide, we break down what B2B marketing attribution is, how it’s different, which tools you can use to set it up and the best practices.
What is B2B marketing attribution ?
Marketing attribution in B2B companies is about figuring out where your high-value leads come from — nailing down long customer journeys across many different touchpoints.
The goal is to determine which campaigns and content contributed to various parts of the customer journey. It’s a complex process that needs a reliable, privacy-focused web analytics tool and a CRM that integrates with it.
This process significantly differs from traditional marketing attribution, where you focus more on short sales cycles from individual customers. With multiple contributing decision makers, B2B attribution requires more robust systems.
What makes marketing attribution different for B2B ?
The key differences between B2B and B2C marketing attribution are a longer sales funnel and more people involved in the sales process.
The B2B sales funnel is significantly longer and more complex
The typical B2C sales funnel is often broken down into four simple stages :
- Awareness : when a prospect first finds out about your product or brand
- Interest : where a prospect starts to learn about the benefits of your product
- Desire : when a prospect understands that they need your product
- Action : the actual process of closing the sale
Even the most simplified B2B sales funnel includes several key stages.
Here’s a brief overview of each :
- Awareness : Buyers recognise they have a problem and start looking for solutions. Stand out with blog posts, social media updates, ebooks and whitepapers.
- Consideration : Buyers are aware of your company and are comparing options. Provide product demos, webinars and case studies to address their concerns and build trust.
- Conversion : Buyers have chosen your product or company. Offer live demos, customer service, case studies and testimonials to finalise the purchase.
- Loyalty : Buyers have made a purchase and are now customers. Nurture relationships with thank you emails, follow-ups, how-tos, reward programs and surveys to encourage repeat business.
- Advocacy : Loyal customers become advocates, promoting your brand to others. Encourage this with surveys, testimonial requests and a referral program.
A longer sales cycle typically involves not only more touchpoints but also extended decision-making processes.
More teams are involved in the marketing and sales process
The last differentiation in B2B attribution is the number of people involved. Instead of clear-cut sales and marketing teams, revenue teams are becoming more common.
They include all go-to-market teams like sales, marketing, customer success and customer support. In B2B sales, long-term customer relationships can be incredibly valuable. As such, the focus shifts away from new customer acquisition alone.
For example, you can also track and optimise your onboarding process. Marketing gets involved in post-sale efforts to boost loyalty. Sales reps follow up with customer success to get new sales angles and insights. Customer support insights drive future product development.
Everyone works together to meet high-level company goals.
The next section will explore how to set up an attribution system.
How to find the right mix of B2B marketing attribution tools
For most B2B marketing teams, the main struggle with attribution is not with the strategy but with creating a reliable system that gives them the data points they need to implement that strategy.
We’ll outline one approach you can take to achieve this without a million-dollar budget or internal data science team.
Use website analytics to track touchpoints
The first thing you want to do is install a reliable website analytics solution on your website.
Once you’ve got your analytics in place, use campaign tracking parameters to track touchpoints from external campaigns like email newsletters, social media ads, review sites (like Capterra) and third-party partner campaigns.
This way, you get a clear picture of which sources are driving traffic and conversions, helping you improve your marketing strategies.
With analytics installed, you can track the referring sources of visits, engagement and conversion events. A robust solution like Matomo tracks everything from traffic sources, marketing attribution and visitor counts to behavioural analytics, like clicks, scrolling patterns and form interactions on your site.
Marketing attribution will give you a cohesive view of which traffic sources and campaigns drive conversions and revenue over long periods. With Matomo’s marketing attribution feature, you can even use different marketing attribution models to compare results :
For example, in a single report, you can compare the last interaction, first interaction and linear (three common marketing attribution models).
In total, Matomo has 6 available attribution models to choose from :
- First interaction
- Last interaction
- Last non-direct
- Linear
- Position based
- Time decay
These additional attribution models are crucial for B2B sites. While other web analytics solutions often limit to last-click attribution, this model isn’t optimal for B2B with extended sales cycles.
Try Matomo for Free
Get the web insights you need, without compromising data accuracy.
Use a CRM to integrate customer data from multiple sources
Use your CRM software to integrate customer data from multiple sources. This will give you the ability to get meaningful B2B marketing insights. For example, you can get company-level insights so you can view conversion information by company, not just by person.
Done effectively, you can close the loop back to analytics data by integrating data from multiple teams and platforms.
Implement self-reported attribution
To further enhance the data, add qualifying questions in the lead signup process to create a hybrid attribution model. This is also known as self-reported attribution.
Your web analytics platform won’t always be able to track the source of certain visits — for instance, “dark social” or peer-to-peer sharing, where links are shared privately and are not easily traceable by analytics tools.
Doing self-reported attribution is crucial for getting a holistic image of your customer journey.
However, self-reported attribution isn’t foolproof ; users may click randomly or inaccurately recall where they first heard about you. So it’s essential to blend this data with your analytics to gain a more accurate understanding.
Best practices for handling B2B prospect data in a privacy-sensitive world
Lastly, it’s important to respect your prospects’ privacy and comply with privacy regulations when conducting B2B marketing attribution.
Privacy regulations and their enforcement are rapidly gaining momentum around the globe. Meta recently received a record GDPR fine of €1.2 billion for insufficient privacy measures when handling user data by the Irish Data Protection Agency.
If you don’t want to risk major fines (or customers feeling betrayed), you shouldn’t follow in the same footsteps.
Switch to a privacy-friendly web analytics
Instead of using a controversial solution like Google Analytics, use a privacy-friendly web analytics solution like Matomo, Fathom or Plausible.
These alternatives not only ensure compliance with regulations like GDPR but also provide peace of mind amid the uncertain relationship between Google and GDPR. Google Analytics has faced bans in recent years, raising concerns about the future of the solution.
While organisations governed by GDPR can currently use Google Analytics, there’s no guarantee of its continued availability.
Make the switch to privacy-friendly web analytics to avoid potential fines and disruptive rulings that could force you to change platforms urgently. Such disruptions can be catastrophic for marketing teams heavily reliant on web analytics for tracking campaigns, business goals and marketing efforts.
Improve your B2B marketing attribution with Matomo
Matomo’s privacy-by-design architecture makes it the perfect analytics platform for the modern B2B marketer. Matomo enables you to meet even the strictest privacy regulations.
At the same time, through campaign tracking URLs, marketing attribution, integrations and our API, you can track the results of various marketing channels and campaigns effectively. We help you understand the impact of each dollar of your marketing budget.
If you want a competitive edge over other B2B companies, try Matomo for free for 21 days. No credit card required.
Try Matomo for Free
21 day free trial. No credit card required.
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8 Best Tools to Analyse Website Traffic
12 septembre 2023, par Erin — Analytics Tips, MarketingDo you want to analyse your website traffic ?
Maybe you want to know how well you’re converting your traffic. Or maybe you’re looking to track the performance and ROI of your marketing campaigns. Regardless, you won’t get far without relying on a dependable web traffic analysis platform.
In this article, we’ve compiled a list of the top web analytics tools available (including the pricing for each one).
Let’s dive in.
What is website traffic analysis ?
Curious about what it means to analyse website traffic ?
Simply put, it involves collecting and examining data about your website visitors and the actions they take. Marketers, analysts and website owners can then take this data and use it to optimise their strategy to improve site traffic, conversion rates and ROI.
A website analytics tool is software that tracks and measures various visitor activities and behaviours on your website. Common metrics include pageviews, traffic source, bounce rate and average time on page. Using a web analytics solution can give you insights into what’s working (and what’s not working) so you can optimise your website, campaigns or marketing strategy.
Advantages of using a website traffic analysis tool
1. Performance measurement and optimisation
Tracking the success of your marketing efforts is a challenging task. The primary benefit of using a web analytics tool is implementing effective performance measurement. If you don’t know how to measure your efforts, you won’t know what’s working and what’s not with your campaigns and content.
A web analysis tool can give you the insights you need to understand whether your marketing initiatives have been successful or if they need to be improved.
For instance, your new web design facelift may seem beautiful, but if visitors aren’t staying on your site as long and it is resulting in lower conversions, then it’s time to go back to the drawing board.
2. Audience insights to improve the user experience
Web traffic analysis platforms don’t just show you what your visitors are doing. It shows you who your audience is. A powerful website analytics tool will give you in-depth audience data, including demographics like geographical location (e.g., city, state or country), to help you better understand your audience.
Additionally, you can learn more about your audience by seeing how they interact with different content on your site. You’ll start to see that certain content performs better than others, giving you a greater understanding of your audience’s needs and wants. This means you’ll be able to tailor your website content and marketing efforts to your audience to improve the overall user experience.
3. Improve SEO
In the first two advantages, we touched on how insights can help you craft better content for the visitors already coming to your site to improve the user experience and improve conversions. But did you know that using a website analytics tool can also help improve how much traffic you’re getting to your site ?
Since a web analytics tool can help you craft better content, one side effect is an increase in traffic from organic search through SEO. Additionally, your platform will likely show you other traffic sources that your visitors are coming from (i.e., another website is referring traffic to you) so you can tap into those high-performing sources and optimise your incoming traffic over time.
Top 8 Tools to Analyse Website Traffic
Here’s a breakdown of the top eight web analytics platforms to help you analyse each tool’s unique features, price, advantages and disadvantages so you can make the best decision.
1. Matomo
Matomo is an open-source website analytics tool that’s focused on protecting user privacy and data while offering robust insights into your web traffic. It’s one of the most powerful tools to track the entire customer journey on your site.
Why Matomo : As the leader in open-source, privacy-friendly and ethical web analytics, Matomo is trusted by more than 1 million websites, including NASA, the United Nations and the European Commission.
Matomo plays well with Google Analytics to track your websites by filling in the gaps where Google Analytics has limitations (i.e., cookie consent banner requirement). Matomo combines traditional and behavioural web analytics for deeper insights while ensuring compliance with the strictest privacy regulations like GDPR, LGPD and HIPAA.
Matomo Standout Features and Integrations :
Standout features include comprehensive visitor tracking, multi-attribution, goal tracking, event tracking, custom dimensions, custom reports, automated email reports, session recordings, tag manager, roll-up reporting to pull data from multiple sites, Google Analytics importer, heatmaps and more.
Integrations include WordPress, Google Ads, Wix, Drupal, Joomla, Cloudflare, Magento, Vue, SharePoint, WooCommerce and more.
Pricing starts free for Matomo On-Premise (but requires technical skills and servers to set up) and $23/month for Matomo Cloud, which includes a 21-day free trial (no credit card required).
Pros
- Best for respecting visitor privacy
- You own your data — ensuring that it’s not shared with third parties for purposes like advertising
- Compliant with the strictest privacy laws
- Greater flexibility with open-source advantages, as well as the option to either self-host or cloud host
- Can run cookieless — providing 100% accurate data and a better user experience without the need for an annoying cookie consent banner
- Exceptional customisability — from white labeling, alerts and custom dimensions to dashboards and reports, tailor your insights for faster decisions, deeper insights and superior outcomes
Cons
- On-Premise is free, but there are additional costs for advanced features
- On-Premise requires servers and technical expertise to manage
2. Google Analytics
Google Analytics is the most well-known and used web analytics platform in the world, with nearly 30 million active websites.
Why Google Analytics : It’s one of the leading web traffic analysis tools backed by the Alphabet group of companies. For anyone getting started, it’s a great free option to understand your web traffic and your audience.
Google Analytics Standout Features and Integrations :
Standout features include in-depth visitor tracking, event tracking with Google Analytics 4 (GA4), easy integration with Google marketing tools (i.e., Google Search Console and Google Ads), custom reports and easy data importing from third-party sources.
Integrations include Google Ads, Google Webmaster Tools, AdSense, WordPress, Wix, Shopify, Zendesk, Facebook, Marketo, WordPress, Hotjar, SEMrush, Salesforce, Hootsuite and more.
Pricing is free.
Pros
- Detailed audience insights
- Customisable reports
- Seamless integration with other Google products
- Easy to set up
Cons
- Not privacy-friendly — you don’t own your data (data is shared with third parties for advertising purposes)
- Complex interface
- Requires cookie consent banner for GDPR compliance, which negatively impacts data accuracy and user experience
3. Fathom Analytics
Founded in 2018, Fathom Analytics is a privacy-friendly and lightweight web analytics tool. The platform offers a simple, minimalistic dashboard.
Why Fathom Analytics : Fathom Analytics is a minimalistic tool to help website owners gain insights into customer behaviour without compromising on privacy. It’s an easy-to-use tool that offers a simplified breakdown of the most popular data points. For newcomers to web analytics seeking essential metrics like visitor counts and traffic sources, Fathom Analytics provides a straightforward, cost-effective solution.
Fathom Analytics Standout Features and Integrations :
Standout features include easy, automated GA4 importing with lifetime data retention, a single-page dashboard for a quick overview of metrics, traffic summaries for chosen timeframes, visually striking graphs for better data digestion and privacy protection covering major compliance regulations.
Integrations include Google Analytics, Squarespace, Drupal, WordPress, Discourse, Bloggi, ConvertKit, Webflow, Transistor, Remix, Gatsby and Carrd.
Pricing starts at $14/month for up to 100k pageviews (with a 30-day free trial).
Pros
- Doesn’t use cookies
- Out-of-the-box GDPR, ePrivacy, PECR and CCPA compliance
- Great for visual data insights
- Lightweight tracking script for fast loading
Cons
- Can’t easily see traffic trends on specific pages
- Metrics may be too simple for those wanting advanced analytics
4. Mixpanel
Mixpanel is a web analytics platform that helps you track visitors as well as improve customer retention. The software has 8,000 customers worldwide, including Netflix, Yelp, BuzzFeed and CNN.
Why Mixpanel : Mixpanel is great for websites with e-commerce functionality. The tool helps you understand both your site visitors and your customers so you can optimise your customer experience and improve conversions.
Mixpanel Standout Features and Integrations :
Standout features include deep insights into how your products are being used, including your most popular features, user cohorts that let you segment users based on specific actions, and visual analysis showing where users drop off.
Integrations include Google Cloud, Figma, Mailchimp, Zoho CRM, Databox, Marketo, Hotjar, Slack, Zapier, Amazon Web Services, Google Ads and HubSpot.
Pricing starts free for up to 20 million events per month and $20/month for Growth.
Pros
- Interface is easy for beginners
- Exhaustive reporting options
- Custom event tracking options
- Predict user actions based on data science models
- Send targeted messages to specific users to encourage action
Cons
- User-based pricing isn’t the most ideal for everyone
- Alert management can be confusing
5. Kissmetrics
Kissmetrics is a marketing and product analytics tool that helps e-commerce and SaaS companies grow through qualitative data insights. The web analytics tool is trusted by 10,000 users, including Microsoft, Unbounce, AWeber, Dropbox DocSend and SendGrid.
Why Kissmetrics : As an e-commerce-driven analytics platform, the platform is best suited for Enterprise businesses, but it also offers flexible pricing plans that make it easy for someone to get their feet wet with website analytics.
Kissmetrics Standout Features and Integrations :
Standout features include a customisable dashboard to see key metrics at a glance, comprehensive visitor tracking, cohort analysis including power user tracking to understand your most active visitors and customers and insights into customer lifetime value and churn rate.
Integrations include Chargify, HubSpot, Slack, Live Chat, Marketo, Optimizely, Mailchimp, Recurly, Wufoo Forms, Facebook Ads, WordPress, Shopify and WooCommerce.
Pricing starts at $0.0025/event for the Pay As You Go Plan, $25.99/month for Build Your Plan and $199/month for Small Teams, which includes a 7-day free trial.
Pros
- Flexible pricing options
- Easy to install
- Several analytics viewing options
- Visual checkout funnel insights
- Track sessions by desktop or mobile
Cons
- Despite more pricing options, it’s still quite expensive overall
- Difficult to use for beginners
6. Adobe Analytics
Adobe Analytics is a web and marketing analytics platform within the Adobe Experience Platform. Used by over 170,000 businesses, it’s one of the most popular analytics solutions available.
Why Adobe Analytics : Adobe Analytics was created for large organisations. It’s essentially the enterprise version of Google Analytics. The tool does a great job of offering a customised analytics solution that’s capable of delivering personalised user experiences at scale.
Adobe Analytics Standout Features and Integrations :
Standout features include attribution, AI-driven predictive analytics, robust customer segmentation and automation based on customer behaviour.
Integrations include all Adobe products, Salesforce, Hootsuite, Contentsquare, Sisense, Mouseflow, Google Ads, Google Search Console, HubSpot and Microsoft Teams.
Pricing is custom and available upon request, but users can expect to pay at least $2,000 per month, and there is no free trial.
Pros
- Built for enterprise businesses
- Seamless workflow integration for Adobe Experience Cloud users
- Incredible customisation options
- Integration process is flexible
- Capable of accurately tracking large volumes of traffic
Cons
- Very expensive
- Not suitable for small businesses
- The setup is challenging for beginners
7. SimilarWeb
SimilarWeb is a robust analytics platform used to track your website data and compare it to other websites. Backed by a team of experienced data scientists and mathematicians for in-depth website traffic and search engine analysis. Founded in 2007, the platform is trusted by major brands like Adidas, DHL, PepsiCo and Walmart.
Why SimilarWeb : The tool relies on multiple scientific methodologies and approaches to data analysis to help provide a better understanding of visitors and customers. The platform is great for crafting prediction models for customer acquisitions by using machine learning to offer SEO insights and competitive analysis.
SimilarWeb Standout Features and Integrations :
Standout features include competition traffic and engagement analysis, in-depth visitor tracking, keyword analysis to optimise your SEO and search ads, affiliate traffic analysis, search traffic analysis and funnel insights.
Integrations include Salesforce, HubSpot, Google Analytics, Google Search Console, Shift, AT Internet, Adverity, SimilarTech, Biscience and more.
Pricing starts at $125/month for the Starter plan, which includes a 7-day free trial.
Pros
- Has a user-friendly dashboard for simple insights
- Highly customisable platform to meet your specific needs
- Easy competition analysis
- Funnel insights to improve your conversion rates
- Great customer support
Cons
- Expensive pricing
- Doesn’t include a code snippet to pull data directly from websites
- Doesn’t show sub-domains of your site
8. Hotjar
Hotjar is a behavioural website analytics tool with a focus on providing insights into individual user sessions with features like heatmaps and session recordings. Founded in 2014, Hotjar is used by 900,000 sites around the world.
Why Hotjar : Unlike traditional web analytics tools like Google Analytics, Hotjar is a behavioural analytics tool that provides in-depth behaviour insights session by session. The tool offers a variety of features that give you a sneak peek into your users’ behaviours by watching how they interact with your site action by action.
Hotjar Standout Features and Integrations :
Standout features include comprehensive heat mapping, visitor session recordings to see what visitors did moment by moment, feedback polls to gain insights from site visitors and conversion funnels to help you analyse leaks in your funnel at each conversion stage.
Integrations include HubSpot, Slack, Jira, WordPress, Shopify, Google Analytics, Mixpanel, Microsoft Teams, Zapier and ClickFunnels.
Pricing starts at free for the Basic plan and $80/month for Business, which includes a 15-day free trial.
Pros
- You can see exactly where visitors click, move and scroll
- Watch session replays to see what visitors did step-by-step
- See what percentage of visitors take certain actions
- Data segmentation features to help you understand KPIs in-depth
- There are no user limits with the platform, making it easy to scale
Cons
- While it offers behavioural analytics, Hotjar doesn’t provide insights into traditional web analytics like Matomo does, including traffic sources and bounce rate
- History data monitoring is complex
Elevate your website performance today
Understanding your visitors’ behaviour and needs is essential when you’re looking to improve your website performance.
By leveraging a website analytics platform, you’ll be able to gain new insights into your visitors and use insights from your content and campaign performance to improve your user experience.
If you’re looking to start using a web traffic analysis tool today, then Matomo is an excellent choice.
Matomo is a powerful, privacy-friendly and compliant tool that gives in-depth insights into your audience, your content and your marketing efforts to help you improve your site’s performance.
The platform also includes a variety of robust behavioural analytics features like heatmaps, session recording and more, which are included in your Cloud subscription.
Start your 21-day free trial of Matomo today (no credit card required).