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• GA360 vs GA4 : Key Differences and Challenges

  20 mai 2024, par Erin

  While the standard Universal Analytics (UA) was sunset for free users in July 2023, Google Analytics 360 (GA360) users could postpone the switch to GA4 for another 12 months. But time is running out. As July is rapidly approaching, GA360 customers need to prepare for the switch to Google Analytics 4 (GA4) or another solution. 

  This comparison post will help you understand the differences between GA360 vs. GA4. We’ll dive beneath the surface, examining each solution’s privacy implications and their usability, features, new metrics and measurement methods.

  What is Google Analytics 4 (Standard) ?

  GA4 is the latest version of Google Analytics, succeeding Universal Analytics. It was designed to address privacy issues with Universal Analytics, which made compliance with privacy regulations like GDPR difficult.

  It completely replaced Universal Analytics for free users in July 2023. GA4 Standard features many differences from the original UA, including :

  • Tracking and analysis are now events-based.
  • Insights are primarily powered by machine learning. (There are fewer reports and manual analysis tools).
  • Many users find the user interface to be too complex compared to Universal Analytics.

  The new tracking, reports and metrics already make GA4 feel like a completely different web analytics platform. The user interface itself also includes notable changes in navigation and implementation. These changes make the transition hard for experienced analysts and digital marketers alike. 

  For a more in-depth look at the differences, read our comparison of Google Analytics 4 and Universal Analytics.

  What is Google Analytics 360

  Google Analytics 360 is a paid version of Google Analytics, mostly aimed at enterprises that need to analyse a large amount of data.

  It significantly increases standard limits on data collection, sampling and processing. It also improves data granularity with more custom events and dimensions.

  Transitioning from Universal Analytics 360 to GA4 360

  You may still use the Universal Analytics tag and interface if you’ve been a Google Analytics 360 customer for multiple years. However, access to Universal Analytics 360 will be discontinued on July 1, 2024. Unlike the initial UA sunset (free version), you won’t be able to access the interface or your data after that, so it will be deleted.

  That means you will have to adapt to the new GA4 user interface, reports and metrics before the sunset or find an alternative solution.

  What is the difference between GA4 360 and free GA4 ?

  The key differences between GA4 360 and free GA4 are higher data limits, enterprise support, uptime guarantees and more robust administrative controls.

  

  GA4 offers most of the same features across the paid and free versions, but there are certain limits on data sampling, data processing and integrations. With the free version, you also can’t define as detailed events using event parameters as you can with GA4 360.

  Higher data collection, accuracy, storage and processing limits

  The biggest difference that GA4 360 brings to the table is more oomph in data collection, accuracy and analysis.

  You can collect more specific data (with 100 event parameters instead of 25 for custom metrics). GA4 360 lets you divide users using more custom dimensions based on events or user characteristics. Instead of 50 per property, you get up to 125 per property.

  And with up to 400 custom audiences, 360 is better for companies that heavily segment their users. More audiences, events and metrics per property mean more detailed insights.

  Sampling limits are also of a completely different scale. The max sample size in GA4 360 is 100x the free version of GA4, with up to 1 billion events per query. This makes analysis a lot more accurate for high-volume users. A slice of 10 million events is hardly representative if you have 200 million monthly events.

  Finally, GA4 360 lets you store all of that data for longer (up to 50 months vs up to 14 months). While new privacy regulations demand that you store user data only for the shortest time possible, website analytics data is often used for year-over-year analysis.

  Enterprise-grade support and uptime guarantees

  Because GA360 users are generally enterprises, Google offers service-level agreements for uptime and technical support response times.

  • Tracking : 99.9% uptime guarantee
  • Reporting : 99% uptime guarantee
  • Data processing : within 4 hours at a 98% uptime guarantee

  The free version of GA4 includes no such guarantees and limited access to professional support in the first place.

  Integrations

  GA4 360 increases limits for BigQuery and Google Ads Manager exports.

  

  The standard limits in the free version are 1 million events per day to BigQuery. In GA4 360, this is increased to billions of events per day. You also get up to 400 audiences for Search Ads 360 instead of the 100 limit in standard GA4.

  Roll-up analytics for agencies and enterprises

  If you manage a wide range of digital properties, checking each one separately isn’t very effective. You can export the data into a tool like Looker Studio (formerly Google Data Studio), but this requires extra work.

  With GA360, you can create “roll-up properties” to analyse data from multiple properties in the same space. It’s the best way to analyse larger trends and patterns across sites and apps.

  Administration and user access controls

  Beyond roll-up reporting, the other unique “advanced features” found in GA360 are related to administration and user access controls.

  

  First, GA360 lets you create custom user roles, giving different access levels to different properties. Sub-properties and roll-up properties are also useful tools for data governance purposes. They make it easier to limit access for specific analysts to the area they’re directly working on.

  You can also design custom reports for specific roles and employees based on their access levels.

  Pricing 

  While GA4 is free, Google Analytics 360 is priced based on your traffic volume. 

  With the introduction of GA4, Google implemented a revised pricing model. For GA4 360, pricing typically begins at USD $50,000/year which covers up to 25 million events per month. Beyond this limit, costs increase based on data usage, scaling accordingly.

  What’s not different : the interface, metrics, reports and basic features

  GA4 360 is the same analytics tool as the free version of GA4, with higher usage limits and a few enterprise features. You get more advanced tracking capabilities and more accurate analysis in the same GA4 packaging.

  If you already use and love GA4 but need to process more data, that’s great news. But if you’re using UA 360 and are hesitant to switch to the new interface, not so much. 

  Making the transition from UA to GA4 isn’t easy. Transferring the data means you need to figure out how to work with the API or use Google BigQuery.

  Plus, you have to deal with new metrics, reports and a new interface. For example, you don’t get to keep your custom funnel reports. You need to use “funnel explorations.”

  Going from UA to GA4 can feel like starting from scratch in a completely new web analytics tool.

  Which version of Google Analytics 4 is right for you ?

  Standard GA4 is a cost-effective web analytics option, but it’s not without its problems :

  • If you’re used to the UA interface, it feels clunky and difficult to analyse.
  • Data sampling is prevalent in the free version, leading to inaccuracies that can negatively affect decision-making and performance.

  And that’s just scratching the surface of common GA4 issues.

  Google Analytics 4 360 is a more reliable web analytics solution for enterprises. However, it suffers from many issues that made the GA4 transition painful for many free UA users last year.

  • You need to rebuild reports and adjust to the new complex interface.
  • To transfer historical data, you must use spreadsheets, the API, or BigQuery.

  You will still lose some of the data due to changes to the metrics and reporting.

  What if neither option is right for you ? Key considerations for choosing a Google Analytics alternative

  Despite what Google would like you to think, GA4 isn’t the only option for website analytics in 2024 — far from it. For companies that are used to UA 360, the right alternative can offer unique benefits to your company.

  Privacy regulations and future-proofing your analytics and marketing

  Although less flagrant than UA, GA4 is still in murky waters regarding compliance with GDPR and other privacy regulations. 

  And the issue isn’t just that you can get fined (which is bad enough). As part of a ruling, you may be ordered to change your analytics platform and protocol, which can completely disrupt your marketing workflow.

  When most marketing teams rely on web analytics to judge the ROI of their campaigns, this can be catastrophic. You may even have to pause campaigns as your team makes the adjustments.

  Avoid this risk completely by going with a privacy-friendly alternative.

  Features beyond basic web analytics

  To understand your users, you need to look at more than just events and conversions.

  That’s why some web analytics solutions have built-in behavioural analytics tools. Features like heatmaps (a visual pattern of popular clicks, scrolling and cursor movement) can help you understand how users interact with specific pages.

  

  Matomo allows you to consolidate behavioural analytics and regular web analytics into a single platform. You don’t need separate tools and subscriptions for heatmaps, session recordings, from analytics, media analytics and A/B testing. You can do all of this with Matomo.

  With insights about visits, sales, conversions, and usability in the same place, it’s a lot easier to improve your website.

  Try Matomo for Free

  Get the web insights you need, without compromising data accuracy.

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  Usability and familiar metrics

  The move to event tracking means new metrics, reports and tools. So, if you’re used to Universal Analytics, it can be tricky to transition to GA4. 

  But there’s no need to start from zero, learning to work with a brand-new interface. Many competing web analytics platforms offer familiar reports and metrics — ones your team has gotten used to. This will help you speed up the time to value with a shorter learning curve.

  Why Matomo is a better option than GA4 360 for UA 360 users

  Matomo offers privacy-friendly tracking, built from the ground up to comply with regulations — including IP anonymisation and DoNotTrack settings. You also get 100% ownership of the data, which means we will never use your data for our own profit (unlike Google and other data giants).

  This is a big deal, as breaking GDPR rules can lead to fines of up to 4% of your annual revenue. At the same time, you’ll also future-proof your marketing workflow by choosing a web analytics provider built with privacy regulations in mind.

  Plus, for legacy UA 360 users, the Matomo interface will also feel a lot more intuitive and familiar. Matomo also provides marketing attribution models you know, like first click, which GA4 has removed.

  Finally, you can access various behavioural analytics tools in a single platform — heatmaps, session recordings, form analytics, A/B testing and more. That means you don’t need to pay for separate solutions for conversion rate optimisation efforts.

  And the transition is smooth. Matomo lets you import Universal Analytics data and offers ready-made Google Ads integration and Looker Studio Connector.

  Join over 1 million websites that choose Matomo as their web analytics solution. Try it free for a 21-days. No credit card required.

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• GDPR Compliance Checklist : A Detailed Walkthrough

  14 septembre 2023, par Erin — GDPR

  As digital transformation drives global economies, data has become a valuable currency to businesses of all shapes and sizes. As a result, the complex issue of data privacy is often in the spotlight.

  The General Data Protection Regulation (GDPR) is the key legal framework in the European Union to protect individual privacy and regulate business data handling. 

  Compliance with the GDPR is not just a legal mandate, it’s also good business. An 86% majority of users want more control over their data and 47% of users have switched providers over data privacy concerns.

  To help guide your business decisions around user privacy, this article will cover the key principles of GDPR, including a comprehensive GDPR compliance checklist.

  The key principles and requirements of GDPR

  Before we can translate GDPR’s objectives into practical steps, let’s begin with the defining features and key principles.

  GDPR : An overview

  The GDPR bolsters and unifies data protection standards for everyone within the EU. Enacted in 2018, it represented a seismic shift for companies and public authorities alike in protecting personal information. Its primary objective is to offer greater control to individuals over their data and to hold organisations accountable for its protection.

  GDPR establishes a legal framework that mandates corporate compliance with key principles to ensure user data security, transparency and choice. It sets the terms for your organisation’s privacy practices and the landscape of legal obligations you must navigate in data handling. 

  Key principles of GDPR

  There are seven core principles pivotal to GDPR compliance, which provide a roadmap for ethical and legal data practices.

  

  • Lawfulness, fairness and transparency : This principle demands lawful and fair processing of personal data. Companies should be transparent about their data processing activities, providing clear information in an accessible form.
  • Purpose limitation : Personal data should be collected for explicit, legitimate purposes and not further processed in a way incompatible with those purposes. This demands careful planning of data processing activities.
  • Data minimisation : Companies should only collect personal data that are necessary for their specified purposes, as anything more than this is illegal. This principle emphasises the importance of limiting scope, rather than performing blanket data collection.
  • Accuracy : This principle calls for maintaining data that is accurate, up-to-date and not misleading. Regular internal audits and updates are crucial to following this principle.
  • Storage limitation : Personal data should only be kept for as long as necessary for the purposes for which it was collected. This underscores the need for a detailed retention policy in your GDPR compliance efforts.
  • Integrity and confidentiality : Companies should protect personal data from unauthorised or unlawful processing and accidental loss or damage. Your organisation’s technical security measures play a vital role in this.
  • Accountability : Organisations should be able to demonstrate their compliance with GDPR principles. This underscores the importance of records of processing activities and regular audits as part of your compliance checklist.

  The importance of GDPR compliance for businesses

  Embracing GDPR compliance isn’t merely a matter of avoiding penalties — it’s a commitment to principles that reflect integrity, transparency and respect for personal data. At Matomo, we champion these principles, empowering companies with powerful and compliant web analytics. We make the compliance journey accessible and straightforward, making sure website analytics aligns with legal obligations and ethical practices.

  The implications of non-compliance

  It’s easy to highlight the dramatic fines imposed on tech giants such as Google and Meta. However, it’s essential to recognise that GDPR compliance extends to all companies, including small businesses — for whom even smaller fines can have a significant impact.

  The implications of non-compliance aren’t limited to financial penalties alone, either. Failing to meet obligations can tarnish reputations, erode trust and hinder business activities. Non-compliance could lead to a breach of privacy policy, causing a ripple effect that may be challenging to overcome.

  The potential benefits of being GDPR compliant

  Adhering to GDPR regulations is more than a checkbox on a form — it’s a comprehensive approach to handling personal data responsibly. It fosters trust, opens doors to European customers and builds enduring relationships with individuals whose rights are protected. In fulfilling these obligations and practices, businesses not only meet legal requirements but also foster a culture of ethical conduct and business success.

  Comprehensive GDPR compliance checklist

  Ensuring GDPR compliance may seem like a complex task, but this detailed checklist will simplify your journey. From consent management to data security, we’ve got you covered.

  

  Establish personal data collection and consent management

  When it comes to GDPR compliance, not all consent is created equal. Two distinct forms exist : explicit consent and implied consent. But what exactly sets them apart, and why does it matter to your organisational measures ?

  Explicit consent from users means that the individual has unequivocally agreed to the processing of personal data. It’s an unambiguous agreement, often obtained through a deliberate action like ticking a box. Details are paramount, as the person giving consent must be fully informed about the processing activities.

  • Inform clearly : Use plain language to explain how data will be used and be transparent about processing practices.
  • Obtain active agreement : Use forms or checkboxes (not pre-ticked boxes) to ensure active participation and that you are obtaining explicit user consent.
  • Document it : Keep records of consent, including when and how it was obtained, as a crucial part of your compliance efforts.
  • Facilitate withdrawal : Use consent mechanisms that allow for easy withdrawal of consent for users who decide to opt out.
  • Manage consent forms : Tools like Matomo’s Consent Management Platform can provide accessible forms that not only enhance transparency but also empower individuals, allowing them to feel in control of their details and rights.

  Facilitate data subject rights and access requests

  GDPR emphasises individual rights by empowering users with control over their personal data processing. Here’s a succinct breakdown :

  • Know the rights of individuals : GDPR outlines individual rights such as data access, error rectification, erasure and data portability, allowing individuals to guide how their details are used, processed or shared.
  • Simplify complying with access requests : Companies must respond to access requests efficiently, usually within one month, without undue delay, reflecting organisational measures of respect.
  • Employ ethical and compliant digital analytics : As a leader in ethical web analytics, Matomo subtly aids in compliance efforts, protecting privacy without compromising functionality.

  These practices align with a modern understanding of privacy, emphasising more than legal obligations. By employing Matomo, companies simplify the processing of access requests, which fosters transparency and user control over personal data.

  Implement clear data privacy practices

  Data privacy and consent mechanisms are key tools for compliance. Crafting a comprehensive privacy policy helps protect individuals’ rights and provides integrity in personal data processing. Designing sites and applications with data protection in mind ensures your compliance from the ground-up.

  • Create an easy to understand privacy policy : Create a clear, GDPR-compliant privacy policy that details processing activities, storage limitations and organisational measures, all in plain language. 

  By implementing these steps, companies not only adhere to their legal obligations but also foster an inclusive community that values privacy and ethics. Whether you’re an IT professional or marketer, Matomo’s platform can guide you through the maze of GDPR complexities, inspiring positive change towards responsible data handling.

  Implement data storage limitations and robust security

  Data storage and security are foundational elements of compliance efforts. Companies must foster a proactive approach to preventing data breaches by understanding potential cyberthreats and enforcing appropriate security controls across applications and infrastructures.

  

  • Implement storage limitations : Define limitations on time and scope to avert undue retention and protect personal details.
  • Embrace technical security : Utilise secure processes like encryption, access controls, firewalls and so on, bolstering protection by design.
  • Establish a comprehensive security policy : Align security practices with privacy laws and regulations, including GDPR.
  • React swiftly to personal data breaches : A security breach requires an immediate response, without undue delay, to honour legal obligations and maintain customer trust. Develop a plan for notifying supervisory authorities and affected individuals promptly in the event of a personal data breach.

  Security measures for personal data are about more than just fulfilling legal obligations — they’re about building a safe and ethical digital ecosystem that instils confidence in customers.

  Keep cross-border data transfers in mind

  Cross-border data transfers present a unique challenge, with increased complexity due to varying data privacy laws across regions. You must understand the respective regulations of participating countries and align your compliance practices appropriately to respect all that are relevant to your organisation. 

  For example, data privacy laws in the US are generally more lax than the GDPR so US companies taking on EU customers must hold themselves to a higher standard, with stricter controls placed on their data processing practices.

  • Evaluate third-party services : For companies utilising global networks of third-party services, be sure to select providers that maintain ongoing knowledge and vigilance towards privacy law compliance. Platforms like Matomo that innately prioritise transparency and privacy, have implemented robust security measures, and document transfers diligently are worth considering. 

  Conduct internal audits and compliance checks

  Compliance is not a “one and done” setup, but an ongoing journey requiring regular internal audits. Systems settings can drift over time, and datasets can become increasingly complex as companies scale. Human error happens, too. Audits identify gaps in your compliance efforts to guide actionable improvements. 

  • Conduct regular audits : Stay proactive with internal audits and systematic monitoring, adapting policies to align with privacy laws. Clarity in privacy notices and cookie banners fosters confidence, while regular assessments ensure alignment with GDPR requirements.
  • Ensure transparency : Platforms like Matomo simplify audits, offering valuable insights and support for ethical web analytics and transparency. The right platform can increase visibility and make generating your reports easier. Integrating these processes guarantees GDPR-aligned measures while emphasising data ownership and customer-centric values.
  • Educate and train staff : Engage in ongoing staff education and training on GDPR compliance, privacy policies, and their related responsibilities.

  

  Case study : GDPR compliance in action

  Achieving compliance with the General Data Protection Regulation (GDPR) stands as a paramount concern for businesses worldwide. Both small and large companies have embarked on this journey, implementing measures and revising privacy policies to conform to these regulations.

  Typeform

  Based in Ireland, Typeform, a company dealing with online forms, took GDPR compliance very seriously. Here’s how they achieved it :

  1. Conducting a data protection impact assessment (DPIA) : This vital step helped them assess personal data breach risks and enabled systematic monitoring of potential challenges.
  2. Implementing technical and organisational measures : Security measures such as encryption, access control and drafting a security policy reinforced their personal data processing mechanisms.
  3. Revamping privacy policy : They transformed their privacy policy with accessible, plain language, making it clear and user-friendly.
  4. Appointing a data protection officer (DPO) : This aligned with their core activities and strengthened their compliance efforts.

  The benefits for Typeform were profound :

  • Enhanced customer trust and confidence
  • Reduced risk of fines and penalties
  • Bolstered data security and privacy
  • Improved brand reputation, positioning them favourably among European customers

  Ensuring GDPR Compliance with Matomo Analytics

  Matomo is more than just an analytics platform ; it is a trusted guide in the realm of data privacy. Our mission is to empower users with full data ownership, fostering an inclusive digital community built on trust and transparency. Our suite of features has been meticulously designed to align with GDPR regulations, ensuring that businesses can navigate the complexities of compliance with ease and confidence.

  1. Data Anonymisation

  Matomo’s focus on ethical digital analytics means the platform allows for the anonymisation of user data, ensuring that individual identities remain protected.

  2. Robust GDPR Management

  Beyond just a GDPR Manager, Matomo provides an encompassing framework to streamline compliance activities. From managing user consent to meticulous record-keeping of processing activities, Matomo ensures you are always a step ahead.

  3. User Empowerment with Opt-Out Capabilities

  Matomo respects user choices. The platform offers users an easy way to opt-out of all tracking, giving them control over their data.

  4. First-party Cookies as the Standard

  By using first-party cookies by default, Matomo ensures data remains with the website owner, minimising potential breaches or misuse.

  5. Transparent Data Collection Practices

  Users have the right to know their data. With Matomo, they can view the exact data being collected, reinforcing a transparent relationship between businesses and their users.

  6. Visitor Data Management

  Upon request, Matomo offers capabilities to delete visitor data, aligning with the GDPR’s right to be forgotten.

  7. Data Ownership and Privacy Assurance

  Unlike other web analytics platforms, with Matomo, you retain full ownership of your data and can rest assured that it is not being used for other purposes such as advertising.

  8. IP Anonymisation

  Protecting user location details, Matomo anonymises IP addresses, adding an additional layer of privacy.

  9. Customisable Data Visualisation

  Recognising that not all data is essential, Matomo allows the disabling of visitor logs and profiles, giving businesses the flexibility to decide what data they track.

  By taking a holistic approach to GDPR compliance, Matomo streamlines the processes for you and ensures you follow the legal and ethical best practices.

  

  Start your GDPR compliance journey today

  The global focus on data privacy requires using a GDPR compliance checklist. With 137 countries implementing data protection laws (UN), companies must align with international standards. Compliance, after all, goes beyond avoiding breaches— it’s about upholding privacy and building trust.

  As your trusted guide, Matomo invites you on this GDPR journey. With us, you’ll uphold privacy obligations and manage your processing activities effectively. Compliance isn’t a one-time task but a continuous journey to enhance practices and align with individual rights. Start this vital journey with Matomo today. Try it free for 21-days. No credit card required.

  Disclaimer

  We are not lawyers and don’t claim to be. The information provided here is to help give an introduction to GDPR. We encourage every business and website to take data privacy seriously and discuss these issues with your lawyer if you have any concerns.

• 10 Customer Segments Examples and Their Benefits

  9 mai 2024, par Erin

  Now that companies can segment buyers, the days of mass marketing are behind us. Customer segmentation offers various benefits for marketing, content creation, sales, analytics teams and more. Without customer segmentation, your personalised marketing efforts may fall flat. 

  According to the Twilio 2023 state of personalisation report, 69% of business leaders have increased their investment in personalisation. There’s a key reason for this — customer retention and loyalty directly benefit from personalisation. In fact, 62% of businesses have cited improved customer retention due to personalisation efforts. The numbers don’t lie. 

  Keep reading to learn how customer segments can help you fine-tune your personalised marketing campaigns. This article will give you a better understanding of customer segmentation and real-world customer segment examples. You’ll leave with the knowledge to empower your marketing strategies with effective customer segmentation. 

  What are customer segments ?

  Customer segments are distinct groups of people or organisations with similar characteristics, needs and behaviours. Like different species of plants in a garden, each customer segment has specific needs and care requirements. Customer segments are useful for tailoring personalised marketing campaigns for specific groups.

  Personalised marketing has been shown to have significant benefits — with 56% of consumers saying that a personalised experience would make them become repeat buyers. 

  Successful marketing teams typically focus on these types of customer segmentation :

  

  1. Geographic segmentation : groups buyers based on their physical location — country, city, region or climate — and language.
  2. Purchase history segmentation : categorises buyers based on their purchasing habits — how often they make purchases — and allows brands to distinguish between frequent, occasional and one-time buyers. 
  3. Product-based segmentation : groups buyers according to the products they prefer or end up purchasing. 
  4. Customer lifecycle segmentation : segments buyers based on where they are in the customer journey. Examples include new, repeat and lapsed buyers. This segmentation category is also useful for understanding the behaviour of loyal buyers and those at risk of churning. 
  5. Technographic segmentation : focuses on buyers’ technology preferences, including device type, browser type, and operating system. 
  6. Channel preference segmentation : helps us understand why buyers prefer to purchase via specific channels — whether online channels, physical stores or a combination of both. 
  7. Value-based segmentation : categorises buyers based on their average purchase value and sensitivity to pricing, for example. This type of segmentation can provide insights into the behaviours of price-conscious buyers and those willing to pay premium prices. 

  Customer segmentation vs. market segmentation

  Customer segmentation and market segmentation are related concepts, but they refer to different aspects of the segmentation process in marketing. 

  Market segmentation is the broader process of dividing the overall market into homogeneous groups. Market segmentation helps marketers identify different groups based on their characteristics or needs. These market segments make it easier for businesses to connect with new buyers by offering relevant products or new features. 

  On the other hand, customer segmentation is used to help you dig deep into the behaviour and preferences of your current customer base. Marketers use customer segmentation insights to create buyer personas. Buyer personas are essential for ensuring your personalised marketing efforts are relevant to the target audience. 

  10 customer segments examples

  Now that you better understand different customer segmentation categories, we’ll provide real-world examples of how customer segmentation can be applied. You’ll be able to draw a direct connection between the segmentation category or categories each example falls under.

  One thing to note is that you’ll want to consider privacy and compliance when you are considering collecting and analysing types of data such as gender, age, income level, profession or personal interests. Instead, you can focus on these privacy-friendly, ethical customer segmentation types :

  1. Geographic location (category : geographic segmentation)

  The North Face is an outdoor apparel and equipment company that relies on geographic segmentation to tailor its products toward buyers in specific regions and climates. 

  For instance, they’ll send targeted advertisements for insulated jackets and snow gear to buyers in colder climates. For folks in seasonal climates, The North Face may send personalised ads for snow gear in winter and ads for hiking or swimming gear in summer. 

  The North Face could also use geographic segmentation to determine buyers’ needs based on location. They can use this information to send targeted ads to specific customer segments during peak ski months to maximise profits.

  2. Preferred language (category : geographic segmentation)

  Your marketing approach will likely differ based on where your customers are and the language they speak. So, with that in mind, language may be another crucial variable you can introduce when identifying your target customers. 

  Language-based segmentation becomes even more important when one of your main business objectives is to expand into new markets and target international customers — especially now that global reach is made possible through digital channels. 

  Coca-Cola’s “Share a Coke” is a multi-national campaign with personalised cans and bottles featuring popular names from countries around the globe. It’s just one example of targeting customers based on language.

  3. Repeat users and loyal customers (category : customer lifecycle segmentation)

  Sephora, a large beauty supply company, is well-known for its Beauty Insider loyalty program. 

  It segments customers based on their purchase history and preferences and rewards their loyalty with gifts, discounts, exclusive offers and free samples. And since customers receive personalised product recommendations and other perks, it incentivises them to remain members of the Beauty Insider program — adding a boost to customer loyalty.

  By creating a memorable customer experience for this segment of their customer base, staying on top of beauty trends and listening to feedback, Sephora is able to keep buyers coming back.

  

  4. New customers (category : customer lifecycle segmentation)

  Subscription services use customer lifecycle segmentation to offer special promotions and trials for new customers. 

  HBO Max is a great example of a real company that excels at this strategy : 

  They offer 40% savings on an annual ad-free plan, which targets new customers who may be apprehensive about the added monthly cost of a recurring subscription.

  This marketing strategy prioritises fostering long-term customer relationships with new buyers to avoid high churn rates. 

  5. Cart abandonment (category : purchase history segmentation)

  With a rate of 85% among US-based mobile users, cart abandonment is a huge issue for ecommerce businesses. One way to deal with this is to segment inactive customers and cart abandoners — those who showed interest by adding products to their cart but haven’t converted yet — and send targeted emails to remind them about their abandoned carts.

  E-commerce companies like Ipsy, for example, track users who have added items to their cart but haven’t followed through on the purchase. The company’s messaging often contains incentives — like free shipping or a limited-time discount — to encourage passive users to return to their carts. 

  Research has found that cart abandonment emails with a coupon code have a high 44.37% average open rate. 

  6. Website activity (category : technographic segmentation)

  It’s also possible to segment customers based on website activity. Now, keep in mind that this is a relatively broad approach ; it covers every interaction that may occur while the customer is browsing your website. As such, it leaves room for many different types of segmentation. 

  For instance, you can segment your audience based on the pages they visited, the elements they interacted with — like CTAs and forms — how long they stayed on each page and whether they added products to their cart. 

  Matomo’s Event Tracking can provide additional context to each website visit and tell you more about the specific interactions that occur, making it particularly useful for segmenting customers based on how they spend their time on your website. 

  Try Matomo for Free

  Get the web insights you need, while respecting user privacy.

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  Amazon segments its customers based on browsing behaviour — recently viewed products and categories, among other things — which, in turn, allows them to improve the customer’s experience and drive sales.

  7. Traffic source (category : channel segmentation) 

  You can also segment your audience based on traffic sources. For example, you can determine if your website visitors arrived through Google and other search engines, email newsletters, social media platforms or referrals. 

  In other words, you’ll create specific audience segments based on the original source. Matomo’s Acquisition feature can provide insights into five different types of traffic sources — search engines, social media, external websites, direct traffic and campaigns — to help you understand how users enter your website.

  You may find that most visitors arrive at your website through social media ads or predominantly discover your brand through search engines. Either way, by learning where they’re coming from, you’ll be able to determine which conversion paths you should prioritise and optimise further. 

  8. Device type (category : technographic segmentation)

  Device type is customer segmentation based on the devices that potential customers may use to access your website and view your content. 

  It’s worth noting that, on a global level, most people (96%) use mobile devices — primarily smartphones — for internet access. So, there’s a high chance that most of your website visitors are coming from mobile devices, too. 

  However, it’s best not to assume anything. Matomo can detect the operating system and the type of device — desktop, mobile device, tablet, console or TV, for example. 

  By introducing the device type variable into your customer segmentation efforts, you’ll be able to determine if there’s a preference for mobile or desktop devices. In return, you’ll have a better idea of how to optimise your website — and whether you should consider developing an app to meet the needs of mobile users.

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  9. Browser type (category : technographic segmentation)

  Besides devices, another type of segmentation that belongs to the technographic category and can provide valuable insights is browser-related. In this case, you’re tracking the internet browser your customers use. 

  Many browser types are available — including Google Chrome, Microsoft Edge, Safari, Firefox and Brave — and each may display your website and other content differently. 

  So, keeping track of your customers’ preferred choices is important. Otherwise, you won’t be able to fully understand their online experience — or ensure that these browsers are displaying your content properly. 

  

  10. Ecommerce activity (category : purchase history, value based, channel or product based segmentation) 

  Similar to website activity, looking at ecommerce activity can tell your sales teams more about which pages the customer has seen and how they have interacted with them. 

  With Matomo’s Ecommerce Tracking, you’ll be able to keep an eye on customers’ on-site behaviours, conversion rates, cart abandonment, purchased products and transaction data — including total revenue and average order value.

  Considering that the focus is on sales channels — such as your online store — this approach to customer segmentation can help you improve the sales experience and increase profitability. 

  Start implementing these customer segments examples

  With ever-evolving demographics and rapid technological advancements, customer segmentation is increasingly complex. The tips and real-world examples in this article break down and simplify customer segmentation so that you can adapt to your customer base. 

  Customer segmentation lays the groundwork for your personalised marketing campaigns to take off. By understanding your users better, you can effectively tailor each campaign to different segments. 

  If you’re ready to see how Matomo can elevate your personalised marketing campaigns, try it for free for 21 days. No credit card required.

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