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  • How to not process any personal data with Matomo and what it means for you

    22 avril 2018, par InnoCraft

    Disclaimer : this blog post has been written by digital analysts, not lawyers. The purpose of this article is to explain how to not process any personal data with Matomo in order to avoid going through the GDPR compliance process with Matomo analytics. This work comes from our interpretation of different sources : the official GDPR text and the UK privacy commission : ICO resources. It cannot be considered as a professional legal advice. So as GDPR, this information is subject to change. GDPR may be also known as RGPD in French, Spanish, Portuguese, Datenschutz-Grundverordnung, DS-GVO in German, Algemene verordening gegevensbescherming in Dutch, Regolamento generale sulla protezione dei dati in Italian.

    Are you looking for a way to not process any personal data with Matomo ? If the answer is yes, you are at the right place. From our understanding, if you are not processing personal data, then you shouldn’t be concerned about GDPR. Our inspiration came from this official reference :

    “The principles of data protection should therefore not apply to anonymous information, namely information which does not relate to an identified or identifiable natural person or to personal data rendered anonymous in such a manner that the data subject is not or no longer identifiable. This Regulation does not therefore concern the processing of such anonymous information, including for statistical or research purposes.“

    In this blog post we are going to see how you can configure Matomo in order to not process any personal data and what the consequences are.

    Which data is considered as personal according to GDPR ?

    From : eur-lex.europa.eu

    (1) “‘personal data’ means any information relating to an identified or identifiable natural person (‘data subject’) ; an identifiable natural person is one who can be identified, directly or indirectly, in particular by reference to an identifier such as a name, an identification number, location data, an online identifier or to one or more factors specific to the physical, physiological, genetic, mental, economic, cultural or social identity of that natural person ;”

    (30) “Natural persons may be associated with online identifiers provided by their devices, applications, tools and protocols, such as internet protocol addresses, cookie identifiers or other identifiers such as radio frequency identification tags. This may leave traces which, in particular when combined with unique identifiers and other information received by the servers, may be used to create profiles of the natural persons and identify them.”

    So according to your Matomo configuration, it may leave some traces within the following data :

    1. IP addresses
    2. Cookies identifiers
    3. Page URL or page titles
    4. User ID and Custom “personal” data
    5. Ecommerce order IDs
    6. Location
    7. Heatmaps & Session Recordings

    Let’s see each of them in more detail.

    1. IP addresses

    IP addresses can indirectly identify an individual. It can also give a good approximation of an individual’s location.

    IP addresses are therefore considered as personal data which means you need to anonymize them. To do so, a feature is available within Matomo, where you can anonymize the IP. We recommend you to anonymize at least the last two bytes :

    See our configuration guide for more information

    What are the consequences of using this feature ?

    When applying IP anonymization on two bytes, you will no longer be able to see the full IP in the UI.

    Moreover, there is a small chance that 2 different visitors with the same device and software configuration will be identified as the same visitor if the anonymised IP address is the same for both.

    2. Cookies

    It is not clear for us yet if all cookies are considered equal under GDPR. At this stage it is too early to make a definite decision.

    Did you know ? Matomo lets you optionally disable the creation of cookies by adding an extra line of code to your tracking code see below.

    See our configuration guide for more information

    What are the consequences of using this feature ?

    Matomo is using a few first party cookies, and the following cookies may hold personal data :

    • _pk_id : contains a visitor id used to identify unique visitors
    • _pk_ref : to identify from where they came from

    If Matomo cannot set cookies, it will use a technique called Fingerprint. It is based on several metadata such as the operating system, browser, browser plugins, IP address, browser language ; just to name a few to identify a unique visitor. As this feature is less accurate than the one using cookies, the number of visitors and visits will be affected.

    3. Page URLs and page titles

    URLs are not mentioned within the official GDPR text. However, we know that according to the different CMS you use, some of them may have URLs including personal identifiers.

    For example :

    As a result, you need to find a way to anonymize this data.

    There are several ways you can perform this action according to your website. If your website is adding the personal data through query parameters, you can define a rule to exclude them from Matomo.

    If the personal data are not included within query parameters, you can use the “setCustomURL” feature and write your code as follow :

    See our developer documentation for more information

    If you are also processing personal data within the title tag, you can use the following function : “setDocumentTitle”.

    What are the consequences of using this feature ?

    By anonymizing the URLs containing personal data, some of your  URLs will be grouped together.

    4. User ID and custom personal data

    User ID is a feature (a tracking code needs to be added) which allows you to identify the same user across different devices.

    A User ID needs a corresponding database in order to link a user across different devices, it can be an email, a username, a name, a random number… All those data are either direct or non direct online identifiers and are therefore under the scope of GDPR.

    It will be the same situation if you are using custom variables and/or custom dimensions in order to push personal data to the system.

    To continue using the User ID feature but not recording personal data, you can consider using a hash function which will anonymize/convert your actual User ID into something like “3jrj3j34434834urj33j3”.

    Alternatively, you can enable the feature “Anonymise User IDs”. This feature will be available starting in Matomo 3.5.0 :

    What are the consequences of using this feature ?

    Under GDPR, User ID is personal data. Anonymizing the User ID using a hash function or our built-in functionality make the User Id pseudo-anonymous, which means it can’t be easily identified to a specific user. As a result, you will still get accurate visits and unique visitors metrics, and the Visitor Profile, but without tracking the original User ID which is personal data.

    5. Ecommerce order IDs

    Order IDs are the reference number assigned to the products/services bought by your customers. As this information can be crossed with your internal database, it is considered as an online identifier and is therefore under the scope of GDPR. As for User ID, you can anonymize order IDs using our built-in functionality to Anonymise Order IDs (see section 4. about User Id).

    What are the consequences of anonymizing order ID ?

    It really depends on your former use of order IDs. If you were not using them in the past then you should not see any difference.

    6. Location

    Based on the IP address of a visitor, Matomo can detect the visitors location. Location data is problematic for privacy as this technology has become quite accurate and can detect not only the city a visitor is from, but sometimes an even more precise position of a visitor.

    In order to not leave any accurate traces, we strongly recommend you to enable the IP anonymization feature. Next, you need to enable the setting “Also use the anonymized IP address when enriching visits”. You find this setting directly below the IP anonymization. This is important as otherwise the full IP address will be used to geolocate a visitor.

    What are the consequences of anonymizing location data ?

    The more bytes you anonymize from the IP, the more anonymized your location will be. When you remove two bytes as suggested, the city and region location reports will not be as accurate. In some cases even the country may not be detected correctly anymore.

    7. Heatmaps & Session Recordings

    Heatmaps & Session Recording is a premium feature in Matomo allowing you to see where users click, hover, type and scroll. With session recordings you can then replay their actions in a video.

    Heatmaps & Session Recordings are under the scope of GDPR as they can disclose in some specific cases (for example : filling a contact form) personal data :

    To avoid this, Matomo will anonymize all keystrokes which a user enters into a form field unless you specifically whitelist a field. Many fields that could contain personal data, such as a credit card, phone number, email address, password, social security number, and more are always anonymized and not recorded.

    See our configuration guide for more information

    Note that a page may still show personal information within the page as part of regular content (not a form element). For example an address, or the profile page of a forum user. We have added a feature which allows you to set an HTML attribute “data-matomo-mask” to anonymize any personal content shown in the UI.

    What are the consequences of using this feature ?

    Mainly, you will not be able to see in plain text what people are entering into your forms.

    What should you do with past data ?

    Once more, we have to say that we are not lawyers. So do not take our answers as legal advice. From : ec.europa.eu/newsroom/article29/document.cfm ?doc_id=50053

    “For example, as the GDPR requires that a controller must be able to demonstrate that valid consent was obtained, all presumed consents of which no references are kept will automatically be below the consent standard of the GDPR and will need to be renewed.”

    Our interpretation is that, if you were previously relying on consent, unless you can demonstrate that valid consent was obtained, you need to get the consent back (which is almost impossible) or you need to anonymize or remove that data.

    To anonymize previously tracked data, we are actively working on a feature to do just that directly within Matomo. Alternatively, you may also set up the deletion of logs after a certain amount of time.

    We really hope you enjoyed reading this article. GDPR is still on the go and we are pretty sure you have a lot of questions about it. You probably would like to share our vision about it. So do not hesitate to ask us through our contact form to see how we are interpreting GDPR at Matomo and InnoCraft.

    The post How to not process any personal data with Matomo and what it means for you appeared first on Analytics Platform - Matomo.

  • 7 Best Marketing Attribution Software in 2024

    22 février 2024, par Erin

    It 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.

    Illustrated statistic showing how much ad spend was wasted in 2022

    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.

    Pros and cons of different marketing attribution models.
    • 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.

    Illustration of the privacy issues with some multi-channel attribution tools

    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.

    Multi-channel conversion attribution report in Matomo analytics

    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.

    No credit card required

    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.

    Screenshot of the WhatConverts homepage

    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.

    Screenshot of the HubSpot homepage

    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.

    Screenshot of the ActiveCampaign homepage

    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.

    Screenshot of the Salesforce homepage

    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.

    Screenshot of the Terminus homepage

    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.

    Screenshot of the Adobe Analytics homepage

    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.

  • Revision 36454 : uniformiser les inputs du formulaire de login

    19 mars 2010, par brunobergot@… — Log

    uniformiser les inputs du formulaire de login