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Support de tous types de médias
10 avril 2011Contrairement à beaucoup de logiciels et autres plate-formes modernes de partage de documents, MediaSPIP a l’ambition de gérer un maximum de formats de documents différents qu’ils soient de type : images (png, gif, jpg, bmp et autres...) ; audio (MP3, Ogg, Wav et autres...) ; vidéo (Avi, MP4, Ogv, mpg, mov, wmv et autres...) ; contenu textuel, code ou autres (open office, microsoft office (tableur, présentation), web (html, css), LaTeX, Google Earth) (...)
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HTML5 audio and video support
13 avril 2011, par kent1MediaSPIP uses HTML5 video and audio tags to play multimedia files, taking advantage of the latest W3C innovations supported by modern browsers.
The MediaSPIP player used has been created specifically for MediaSPIP and can be easily adapted to fit in with a specific theme.
For older browsers the Flowplayer flash fallback is used.
MediaSPIP allows for media playback on major mobile platforms with the above (...) -
Soumettre améliorations et plugins supplémentaires
10 avril 2011Si vous avez développé une nouvelle extension permettant d’ajouter une ou plusieurs fonctionnalités utiles à MediaSPIP, faites le nous savoir et son intégration dans la distribution officielle sera envisagée.
Vous pouvez utiliser la liste de discussion de développement afin de le faire savoir ou demander de l’aide quant à la réalisation de ce plugin. MediaSPIP étant basé sur SPIP, il est également possible d’utiliser le liste de discussion SPIP-zone de SPIP pour (...)
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Top Conversion Metrics to Track in 2024
22 janvier 2024, par Erin2023 boasts 2.64 billion online shoppers worldwide ; that’s more than a third of the global population. With these numbers on an upward trajectory in 2024, conversion metrics are more important than ever to help marketers optimise the online shopping experience.
In this article, we’ll provide predictions for the most important conversion metrics you should keep track of in 2024. We’ll also examine how social media can make or break your brand engagement strategy. Keep reading to stay ahead of the competition for 2024 and gain tips and tricks for improving conversion performance.
What are conversion metrics ?
In technical terms, conversion metrics are the quantifiable measurements used to track the success of specific outcomes on a website or marketing campaign. Conversion metrics demonstrate how well your website prompts visitors to take desirable actions, like signing up for a newsletter, making a purchase, or filling out a form, for instance.
Let’s say you’re running a lemonade stand, and you want to compare the number of cups sold to the number of people who approached your stand (your conversion rate). This ratio of cups sold to the total number of people can help you reassess your sales approach. If the ratio is low, you might reconsider your approach ; if it’s high, you can analyse what makes your technique successful and double down.
In 2023, we saw the average conversion rate for online shopping grow by 5.53% compared to the previous year. An increase in conversion rate typically indicates a higher percentage of website visitors converting to buyers. It can also be a good sign for marketing teams that marketing campaigns are more effective, and website experiences are more user-friendly than the previous year.
Conversion metrics are a marketers’ bread and butter. Whether it’s through measuring the efficacy of campaigns, honing in on the most effective marketing channels or understanding customer behaviour — don’t underestimate the power of conversion metrics.
Conversion rate vs. conversion value
Before we dive into the top conversion metrics to track in 2024, let’s clear up any confusion about the difference between conversion rate and conversion value. Conversion rate is a metric that measures the ratio of website visitors/users who complete a conversion action to the total number of website visitors/users. Conversion rates are communicated as percentages.
A conversion action can mean many different things depending on your product or service. Some examples of conversion actions that website visitors can take include :
- Making a purchase
- Filling out a form
- Subscribing to a newsletter
- Any other predefined goal
Conversion rate is arguably one of the most valuable conversion metrics if you want to pinpoint areas for improvement in your marketing strategy and user experience (UX).
A good conversion rate completely depends on the type of conversion being measured. Shopify has reported that the average e-commerce conversion rate will be 2.5%-3% in 2023, so if you fall anywhere in this range, you’re in good shape. Below is a visual aid for how you can calculate conversion rate depending on which conversion actions you decide to track :
Conversion value is also a quantifiable metric, but there’s a key difference : conversion value assigns a numerical value to each conversion based on the monetary value of the completed conversion action. Conversion value is not calculated with a formula but is assigned based on revenue generated from the conversion. Conversion value is important for calculating marketing efforts’ return on investment (ROI) and is often used to allocate marketing budgets better.
Both conversion rate and conversion value are vital metrics in digital marketing. When used in tandem, they can provide a holistic perspective on your marketing efforts’ financial impact and success.
9 important conversion metrics to track in 2024
Based on research and results from 2023, we have compiled this list of predictions for the most important metrics to track in 2024.
1. Conversion rate
To start things out strong, we’ve got the timeless and indispensable conversion rate. As we discussed in the previous section, conversion rate measures how successfully your website convinces visitors to take important actions, like making purchases or signing up for newsletters.
An easy-to-use web analytics solution like Matomo can help in tracking conversion rates. Matomo automatically calculates conversion rates of individual pages, overall website and on a goal-by-goal basis. So you can compare the conversion rate of your newsletter sign up goal vs a form submission goal on your site and see what is underperforming and requires improvement.
In the example above in Matomo, it’s clear that our goal of getting users to comment is not doing well, with only a 0.03% conversion rate. To improve our website’s overall conversion rate, we should focus our efforts on improving the user commenting experience.
For 2024, we predict that the conversion rate will be just as important to track as in 2023.
2. Average visit duration
This key metric tracks how long users spend on your website. A session typically starts when a user lands on your website and ends when they close the browser or have been inactive for some time ( 30 minutes). Tracking the average visit duration can help you determine how well your content captures users’ attention or how engaged users are when navigating your website.
Average Visit Duration = Total Time Spent / Number of Visits
Web analytics tools like Matomo help in monitoring conversion rate metrics like average visit duration. Timestamps are assigned to each interaction within a visit, so that average visit duration can be calculated. Analysing website visit information like average visit duration allows you to evaluate the relevance of your content with your target audience.
3. Starter rate
If your business relies on getting leads through forms, paying attention to Form Analytics is crucial for improving conversion rates. The “starter rate” metric is particularly important—it indicates the number of who people start filling out the form, after seeing it.
When you’re working to increase conversion rates and capture more leads, keeping an eye on the starter rate helps you understand where users might encounter issues or lose interest early in the form-filling process. Addressing these issues can simplify the form-filling experience and increase the likelihood of successful lead captures.
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Get the web insights you need, without compromising data accuracy.
Concrete CMS tripled their leads using Form Analytics in Matomo—see how in their case study.
4. Bounce rate
Bounce rate reflects the percentage of visitors who exit your site after interacting with a single page. Bounce rate is an important metric for understanding how relevant your content is to visitors or how optimised your user experience is. A high bounce rate can indicate that visitors are having trouble navigating your website or not finding what they’re looking for.
Matomo automatically calculates bounce rate on each page and for your overall website.
Bounce Rate = (# of Single-Page Sessions / Total # of Sessions) * 100
5. Cost-per-conversion
This metric quantifies the average cost incurred for each conversion action (i.e., sale, acquired lead, sign-up, etc.). Marketers use cost-per-conversion to assess the cost efficiency of a marketing campaign. You want to aim for a lower cost-per-conversion, meaning your advertising efforts aren’t breaking the bank. A high cost-per-conversion could be acceptable in luxury industries, but it often indicates a low marketing ROI.
Cost-per-Conversion = Ad Spend / # of Conversions
By connecting your Matomo with Google Ads through Advertising Conversion Export feature in Matomo, you can keep tabs on your conversions right within the advertising platform. This feature also works with Microsoft Advertising and Yandex Ads.
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Get the web insights you need, without compromising data accuracy.
6. Average order value (AOV)
AOV is a conversion metric that calculates the average monetary value of each order. AOV is crucial for helping e-commerce businesses understand the value of their transactions. A high AOV means buyers spend more per transaction and could be more easily influenced by upselling or cross-selling. Low AOV isn’t necessarily bad — you can compensate for a low AOV by boosting transaction volume.
AOV = Total Revenue / Total # of Orders
Matomo automatically tracks important e-commerce metrics such as AOV, the percentage of visits with abandoned carts and the conversion rate for e-commerce orders.
7. Exit rate
Exit rate measures the percentage of visitors who leave a specific webpage after viewing it. Exit rate differs from bounce rate in that it focuses on the last page visitors view before leaving the site. A high exit rate should be examined to identify issues with visitors abandoning the specific page.
Exit Rate = (# of Exits from a Page / Total # of Pageviews for that Page) * 100
In the Matomo report above, it’s clear that 77% of visits to the diving page ended after viewing it (exit rate), while 23% continued exploring.
On the other hand, our products page shows a lower exit rate at 36%, suggesting that more visitors continue navigating through the site after checking out the products.
How to improve your conversion performance
If you’re curious about improving your conversion performance, this section is designed to guide you through that exact process.
Understand your target audience and their behaviour
You may need to return to the drawing board if you’re noticing high bounce rates or a lack of brand engagement. In-depth audience analysis can unveil user demographics, preferences and behaviours. This type of user data is crucial for building user personas, segmenting your visitors and targeting marketing campaigns accordingly.
You can segment your website visitors in a number of web analytics solutions, but for the example below, we’ll look at segmenting in Matomo.
In this instance, we’ve segmented visitors by mobile users. This helps us see how mobile users are doing with our newsletter signup goal and identify the countries where they convert the most. It also shows how well mobile users are doing with our conversion goal over time.
It’s clear that our mobile users are converting at a very low rate—just 0.01%. This suggests there’s room for improvement in the mobile experience on our site.
Optimise website design, landing pages, page loading speed and UX
A slow page loading speed can result in high exit rates, user dissatisfaction and lost revenue. Advanced web analytics solutions like Matomo, which provides heatmaps and session recordings, can help you find problems in your website design and understand how users interact with it.
Making a website that focuses on users and has an easy-to-follow layout will make the user experience smooth and enjoyable.
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Get the web insights you need, without compromising data accuracy.
Create compelling calls-to-action (CTA)
Research shows that a strategically placed and relevant CTA can significantly increase your revenue. CTAs guide prospects toward conversion and must have a compelling and clear message.
You can optimise CTAs by analysing how users interact with them — this helps you tailor them to better resonate with your target audience.
A/B testing
A/B testing can improve your conversion performance by allowing you to experiment with different versions of a web page. By comparing the impact of different web page elements on conversions, you can optimise your website with confidence.
Key conversion metrics takeaways
Whether understanding user behaviour to develop a more intuitive user experience or guessing which marketing channel is the most effective, conversion metrics can be a marketer’s best friend. Conversion metrics help you save time, money and headaches when making your campaigns and website as effective as possible.
Make improving conversion rates easier with Matomo, a user-friendly all-in-one solution. Matomo ensures reliable insights by delivering accurate data while prioritising compliance and privacy.
Get quality insights from your conversion metrics by trying Matomo free for 21 days. No credit card required.
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7 Best Marketing Attribution Software in 2024
22 février 2024, par ErinIt can be hard to accurately track the impact of your marketing efforts across marketing channels and campaigns. That’s where marketing attribution software comes in.
It goes beyond basic web analytics solutions that just look at the final click. Instead, it shows how different channels, content, and ads are performing at every step of the buyer’s journey, which gives a more accurate picture than just focusing on the last click.
In this guide, we’ll cover the basics of marketing attribution, list the top marketing attribution software and explain how the issue of privacy is transforming the web analytics industry.
What is marketing attribution ?
Marketing attribution is the process of assigning credit to each touchpoint in a buyer’s journey that leads to a desired action (such as a conversion or sale) in order to understand the effectiveness of various marketing channels and campaigns in influencing the customer’s decision-making process.
Marketers use software tools like website analytics to to track and analyse customer interactions across different touchpoints, allowing them to attribute conversions or sales to specific marketing efforts and optimise their strategies and budgets accordingly.
Why is marketing attribution so important ?
If you don’t track your campaigns correctly, it’s easy to spend thousands (or even millions) in an ineffective way. A 2022 survey by Australian marketing agency Next&Co revealed their clients wasted AU$5.46 billion in ineffective ad spend.
That’s 41% of all the ad spend tracked by Next&Co in 2022. A wasted marketing spend percentage this high isn’t exactly a recipe for a high marketing return on investment (ROI). And yet, it’s the average.
Why is that ?
Most companies don’t actively track the results of their marketing campaigns actively enough.
By improving your marketing attribution, you can determine which channels, ads, and campaigns work and which don’t. Then, you can move the budget from ineffective channels to effective ones.
Even if you can only identify half of your wastage, this could be 20% or more of your total spend. Just imagine what your bottom line would look like if your marketing budget were 20% more effective.
That’s the power that marketing attribution, when done right, brings to the table. It’s the road to a higher marketing ROI.
Common marketing attribution models and how they’re different
The default model for attributing completed goals in most analytics tools is either the last interaction or the last non-direct interaction.
However, some multi-touch models can help you get a more holistic view of the impact of your marketing efforts.
- Last interaction model : attributes the conversion to the final interaction or referring source (campaign or ad).
- Last non-direct interaction model : attributes the conversion to the final touchpoint that was not a direct visit to your website. (For example, if a search ad took them to a product page, the user bookmarked it and returned directly the next day to finish the purchase. The credit would go to the search ad as it’s the last non-direct touchpoint.)
- First interaction model : attributes the conversion to the first referring event alone.
- Linear model : gives equal value to every touchpoint throughout the customer journey.
- Time decay model : gives more value to touchpoints the closer they were to the actual sale.
- Position-based model : gives more value to the first and last touchpoints — often 40% each, while splitting 20% among the rest.
You can read our guide dedicated to marketing attribution models for more details on these models.
Types of marketing attribution software and the impact of privacy regulations
Until recently, digital advertising was the “scientific” advertisers’ utopia. Everything could be measured, with cookies from giants like Google and Facebook stalking every user across the web.
But with the advent of regulations like GDPR and the CCPA, you can no longer blindly trust Google Analytics or the Meta Pixel without consequences.
Multi-channel attribution tools with third-party cookies and GDPR
Google, Meta, and other companies used to track and combine user data from their own platforms and websites across the web that installed their tags. These third-party cookies have long been under fire and have caused several GDPR fines.
The alternative : analytics platforms with first-party cookies
In a post-GDPR digital marketing landscape, a compliant-by-default web analytics platform like Matomo is a more reliable and accurate alternative.
Plus, with a platform like Matomo, you don’t need to rely on data from digital advertising platforms like Facebook Ads and Google Ads. You can accurately track referral sources using our campaign tracking parameters.
7 best marketing attribution software in 2024
Below is the list of our favourite marketing attribution tools in 2024. If you find and use one that suits your needs correctly, you can quickly boost your marketing performance.
1. Matomo — Accurate and easiest to set up for marketing attribution
Matomo is a privacy-friendly web analytics suite that empowers you to accurately attribute marketing efforts and gain valuable insights while prioritising user privacy and compliance.
Matomo integrates with e-commerce platforms like WooCommerce and Magenta. That makes it easy for B2C marketing teams to track the revenue impact of their campaigns.
You can also compare a variety of attribution models against each other. B2B teams can use our API to integrate Matomo with their CRM.
Pros :
- Relies on first-party cookies for tracking, ensuring accurate data collection and attribution of user actions
- Includes additional features like Heatmaps, Session Recordings, Form Analytics, A/B Testing, and more
- Easy to set up and use
- Features most common multi-touch attribution models
Cons :
- Limited to owned channels (website and e-commerce store) due to first-party cookies and data (but you can integrate other data sources through a CRM)
Pricing
The self-hosted version is free. The cloud hosted version starts at $19 per month and includes a 21-day free trial. No credit card requierd.
Try Matomo for Free
Get the web insights you need, without compromising data accuracy.
2. WhatConverts — Great option for leads-based businesses with high ad spend
WhatConverts is a marketing attribution tool with a focus on lead tracking. With most web analytics setups, it adds call and text tracking to the typical form-only tracking.
Pros :
- Reliable call and text tracking
- Revenue attribution to specific leads (and, by extension, campaigns and ads)
Cons :
- Focused exclusively on leads — little utility for e-commerce companies
Pricing
The cheapest plan starts at $30/month but does not include analytics integrations or form tracking. To access this and advanced flow tracking and attribution features, you need the Elite plan, which starts at $160/month.
3. HubSpot Marketing Hub — Ideal CRM for larger B2B companies
HubSpot is a marketing CRM with attribution features for tracking and analysis.
The platform is very broad — encompassing CRM, email automation and other tools — which makes it challenging to use effectively. The price tag is also quite steep for smaller companies and marketing teams.
Pros :
- Concretely tracks revenue to multiple different touchpoints and marketing channels
- Includes several different multi-touch attribution models
- Allows offline conversion tracking
Cons :
- The price point is too high for smaller teams
- Cam be difficult to set up effectively
Pricing
Since marketing attribution is only included in HubSpot Marketing Hub’s Professional and Enterprise plans, pricing starts at $800/month (paid annually). If you commit for a year but pay monthly, the price is $890/month for the professional plan. This goes up with additional add-ons and as your contacts increase as well.
4. ActiveCampaign — Good CRM option for small B2B companies
ActiveCampaign is a CRM and marketing automation platform that can help you trace leads and revenue back to their source.
Although it has a similar scope of features to HubSpot, it is more affordable and slightly easier to use for beginners.
Pros :
- Tracks sales revenue back to specific marketing touchpoints
- Powerful marketing automation features
Cons :
- B2B companies may need to purchase two plans, one ActiveCampaign marketing and one CRM.
Pricing
Unlike HubSpot, ActiveCampaign offers a much more affordable plan, starting at $29/month billed annually (for up to 1,000 contacts). The marketing and sales CRM bundle starts at $93/month with up to five users.
5. Salesforce Data Cloud for Marketing — Ideal CRM for enterprises
Salesforce is a robust and feature-rich CRM that many enterprises rely on for their sales teams.
That makes Salesforce’s marketing attribution platform a logical choice for existing Salesforce users.
Pros :
- Uses prospect and sales data from CRM to attribute revenue
- Revenue prediction analytics
- Lead scoring to help your sales team focus on high-value leads
Cons :
- Difficult to set up and use
- Clunky and aged user interface
- Relatively high price point
Pricing
The limited Marketing Cloud Account Engagement Growth plan starts at $1,250/month, billed annually. To access advanced cross-channel journeys, you need the Pro plan, which starts at $2,750 monthly.
6. Terminus — Great for account-based marketing
If your marketing team uses an account-based marketing (ABM) approach, Terminus might be the right option for you.
It offers ABM tools like target account event tracking and revenue attribution tools for your marketing campaigns.
Pros :
- Advanced multi-channel revenue attribution tools with a wide range of reports
- Track intent touchpoints back to target accounts
- Reliable revenue predictions help you focus your marketing activities
Cons :
- Complex and difficult to set up, understand and use effectively
- Lacks native integrations with many common advertising platforms and analytics tools
Pricing
Terminus offers no standard pricing plans. You must contact their sales team for a custom quote based on your needs.
7. Adobe Analytics — An analytics for enterprises
Adobe Analytics is part of the Adobe Experience Cloud, with plenty of big data analysis tools for enterprises. Although the platform is quite powerful, it is equally complex and difficult to use. The price point is also prohibitive for many smaller companies.
Pros :
- Very extensive reporting tools
- Predictive analytics give you solid leading indicator for future campaign performance
- Track multiple digital touchpoints across the entire customer journey
Cons :
- Like Google Analytics, Adobe Analytics aggregates your visitor data by default, making compliant “consent-free tracking” — tracking user actions without asking for consent — impossible according to GDPR. (See more differences in Matomo’s comparison against Adobe Analytics and Google Analytics.)
- Prohibitively expensive for most smaller companies
- Very steep learning curve for setting up and using it correctly
Pricing
Adobe Analytics uses usage-based pricing — which means they adjust the pricing based on the traffic volume to your website. Still, their lower price points aren’t exactly SMB-friendly — multiple sources put Adobe’s lowest starting price point at $2,000–2,500 per month.
Get accurate marketing attribution with Matomo (without privacy concerns)
Matomo allows you to do marketing attribution effectively and accurately without compromising your users’ privacy. By default, we only use first-party cookies and offer consent-free tracking – meaning no more annoying cookie consent banners (excluding in Germany and the UK).
If you want to boost your marketing performance without disregarding your users’ privacy, get started with our 21-day free trial. No credit card required. It’s time to make more informed decisions about your marketing campaigns.
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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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