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• How to Use Analytics & Reports for Marketing, Sales & More

  28 septembre 2023, par Erin — Analytics Tips

  By now, most professionals know they should be using analytics and reports to make better business decisions. Blogs and thought leaders talk about it all the time. But most sources don’t tell you how to use analytics and reports. So marketers, salespeople and others either skim whatever reports they come across or give up on making data-driven decisions entirely. 

  But it doesn’t have to be this way.

  In this article, we’ll cover what analytics and reports are, how they differ and give you examples of each. Then, we’ll explain how clean data comes into play and how marketing, sales, and user experience teams can use reports and analytics to uncover actionable insights.

  What’s the difference between analytics & reports ? 

  Many people speak of reports and analytics as if the terms are interchangeable, but they have two distinct meanings.

  A report is a collection of data presented in one place. By tracking key metrics and providing numbers, reports tell you what is happening in your business. Analytics is the study of data and the process of generating insights from data. Both rely on data and are essential for understanding and improving your business results.

  

  A science experiment is a helpful analogy for how reporting and analytics work together. To conduct an experiment, scientists collect data and results and compile a report of what happened. But the process doesn’t stop there. After generating a data report, scientists analyse the data and try to understand the why behind the results.

  In a business context, you collect and organise data in reports. With analytics, you then use those reports and their data to draw conclusions about what works and what doesn’t.

  Reports examples 

  Reports are a valuable tool for just about any part of your business, from sales to finance to human resources. For example, your finance team might collect data about spending and use it to create a report. It might show how much you spend on employee compensation, real estate, raw materials and shipping.

  On the other hand, your marketing team might benefit from a report on lead sources. This would mean collecting data on where your sales leads come from (social media, email, organic search, etc.). You could collect and present lead source data over time for a more in-depth report. This shows which sources are becoming more effective over time. With advanced tools, you can create detailed, custom reports that include multiple factors, such as time, geographical location and device type.

  

  Analytics examples 

  Because analytics requires looking at and drawing insights from data and reports to collect and present data, analytics often begins by studying reports. 

  In our example of a report on lead sources, an analytics professional might study the report and notice that webinars are an important source of leads. To better understand this, they might look closely at the number of leads acquired compared to how often webinars occur. If they notice that the number of webinar leads has been growing, they might conclude that the business should invest in more webinars to generate more leads. This is just one kind of insight analytics can provide.

  For another example, your human resources team might study a report on employee retention. After analysing the data, they could discover valuable insights, such as which teams have the highest turnover rate. Further analysis might help them uncover why certain teams fail to keep employees and what they can do to solve the problem.

  The importance of clean data 

  Both analytics and reporting rely on data, so it’s essential your data is clean. Clean data means you’ve audited your data, removed inaccuracies and duplicate entries, and corrected mislabelled data or errors. Basically, you want to ensure that each piece of information you’re using for reports and analytics is accurate and organised correctly.

  If your data isn’t clean and accurate, neither will your reports be. And making business decisions based on bad data can come at a considerable cost. Inaccurate data might lead you to invest in a channel that appears more valuable than it actually is. Or it could cause you to overlook opportunities for growth. Moreover, poor data maintenance and the poor insight it provides will lead your team to have less trust in your reports and analytics team.

  The simplest way to maintain clean data is to be meticulous when inputting or transferring data. This can be as simple as ensuring that your sales team fills in every field of an account record. When you need to import or transfer data from other sources, you need to perform quality assurance (QA) checks to make sure data is appropriately labelled and organised. 

  Another way to maintain clean data is by avoiding cookies. Most web visitors reject cookie consent banners. When this happens, analysts and marketers don’t get data on these visitors and only see the percentage of users who accept tracking. This means they decide on a smaller sample size, leading to poor or inaccurate data. These banners also create a poor user experience and annoy web visitors.

  Matomo can be configured to run cookieless — which, in most countries, means you don’t need to have an annoying cookie consent screen on your site. This way, you can get more accurate data and create a better user experience.

  Marketing analytics and reports 

  Analytics and reporting help you measure and improve the effectiveness of your marketing efforts. They help you learn what’s working and what you should invest more time and money into. And bolstering the effectiveness of your marketing will create more opportunities for sales.

  

  One common area where marketing teams use analytics and reports is to understand and improve their keyword rankings and search engine optimization. They use web analytics platforms like Matomo to report on how their website performs for specific keywords. Insights from these reports are then used to inform changes to the website and the development of new content.

  As we mentioned above, marketing teams often use reports on lead sources to understand how their prospects and customers are learning about the brand. They might analyse their lead sources to better understand their audience. 

  For example, if your company finds that you receive a lot of leads from LinkedIn, you might decide to study the content you post there and how it differs from other platforms. You could apply a similar content approach to other channels to see if it increases lead generation. You can then study reporting on how lead source data changes after you change content strategies. This is one example of how analysing a report can lead to marketing experimentation. 

  Email and paid advertising are also marketing channels that can be optimised with reports and analysis. By studying the data around what emails and ads your audience clicks on, you can draw insights into what topics and messaging resonate with your customers.

  

  Marketing teams often use A/B testing to learn about audience preferences. In an A/B test, you can test two landing page versions, such as two different types of call-to-action (CTA) buttons. Matomo will generate a report showing how many people clicked each version. From those results, you may draw an insight into the design your audience prefers.

  Sales analytics and reports 

  Sales analytics and reports are used to help teams close more deals and sell more efficiently. They also help businesses understand their revenue, set goals, and optimise sales processes. And understanding your sales and revenue allows you to plan for the future.

  One of the keys to building a successful sales strategy and team is understanding your sales cycle. That’s why it’s so important for companies to analyse their lead and sales data. For business-to-business (B2B) companies in particular, the sales cycle can be a long process. But you can use reporting and analytics to learn about the stages of the buying cycle, including how long they take and how many leads proceed to the next step.

  Analysing lead and customer data also allows you to gain insights into who your customers are. With detailed account records, you can track where your customers are, what industries they come from, what their role is and how much they spend. While you can use reports to gather customer data, you also have to use analysis and qualitative information in order to build buyer personas. 

  

  Many sales teams use past individual and business performance to understand revenue trends. For instance, you might study historical data reports to learn how seasonality affects your revenue. If you dive deeper, you might find that seasonal trends may depend on the country where your customers live. 

  

  Conversely, it’s also important to analyse what internal variables are affecting revenue. You can use revenue reports to identify your top-performing sales associates. You can then try to expand and replicate that success. While sales is a field often driven by personal relationships and conversations, many types of reports allow you to learn about and improve the process.

  Website and user behaviour analytics and reports 

  More and more, businesses view their websites as an experience and user behaviour as an important part of their business. And just like sales and marketing, reporting and analytics help you better understand and optimise your web experience. 

  Many web and user behaviour metrics, like traffic source, have important implications for marketing. For example, page traffic and user flows can provide valuable insights into what your customers are interested in. This can then drive future content development and marketing campaigns.

  

  You can also learn about how your users navigate and use your website. A robust web analytics tool, like Matomo, can supply user session recordings and visitor tracking. For example, you could study which pages a particular user visits. But Matomo also has a feature called Transitions that provides visual reports showing where a particular page’s traffic comes from and where visitors tend to go afterward. 

  

  As you consider why people might be leaving your website, site performance is another important area for reporting. Most users are accustomed to near-instantaneous web experiences, so it’s worth monitoring your page load time and looking out for backend delays. In today’s world, your website experience is part of what you’re selling to customers. Don’t miss out on opportunities to impress and delight them.

  Dive into your data

  Reporting and analytics can seem like mysterious buzzwords we’re all supposed to understand already. But, like anything else, they require definitions and meaningful examples. When you dig into the topic, though, the applications for reporting and analytics are endless.

  Use these examples to identify how you can use analytics and reports in your role and department to achieve better results, whether that means higher quality leads, bigger deal size or a better user experience.

  To see how Matomo can collect accurate and reliable data and turn it into in-depth analytics and reports, start a free 21-day trial. No credit card required.

• 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.

• What Every Programmer Should Know

  24 décembre 2012, par Multimedia Mike — General

  During my recent effort to force myself to understand Unicode and modern text encoding/processing, I was reminded that this is something that “every programmer should just know”, an idea that comes up every so often, usually in relation to a subject in which the speaker is already an expert. One of the most absurd examples I ever witnessed was a blog post along the lines of “What every working programmer ought to know about [some very specific niche of enterprise-level Java programming]“. I remember reading through the article and recognizing that I had almost no knowledge of the material. Disturbing, since I am demonstrably a “working programmer”.

  For fun, I queried the googles on the matter of what ever programmer ought to know.

  Specific Topics
  Here is what every programmer should know about : Unicode, time, memory (simple), memory (extremely in-depth), regular expressions, search engine optimization, floating point, security, basic number theory, race conditions, managed C++, VIM commands, distributed systems, object-oriented design, latency numbers, rate monotonic algorithm, merging branches in Mercurial, classes of algorithms, and human names.

  Broader Topics
  20 subjects every programmer should know, 97 things every programmer should know, 12 things every programmer should know, things every programmer should know (27 items), 10 papers every programmer should read at least twice, 10 things every programmer should know for their first job.

  Meanwhile, I remain fond of this xkcd comic whose mouseover text describes all that a person genuinely needs to know. Still, the new year is upon us, a time when people often make commitments to bettering themselves, and it couldn’t hurt (much) to at least skim some of the lists and find out what you never knew that you never knew.

  What About Multimedia ?
  Reading the foregoing (or the titles of the foregoing pieces), I naturally wonder if I should write something about what every programmer should know about multimedia. I think it would look something like a multimedia programming FAQ. These are some items that I can think of :

  1. YUV : The other colorspace (since most programmers are only familiar with RGB and have no idea what to make of the YUV that comes out of most video decoding APIs)
  2. Why you can’t easily seek randomly to any specific frame in a video file (keyframe/interframe discussion and their implications)
  3. Understand your platform before endeavoring to implement multimedia software (modern platforms, particularly mobile platforms, probably provide everything you need in the native APIs and there is likely little reason to compile libavcodec for the platform)
  4. Difference between containers and codecs (longstanding item, but I would argue it’s less relevant these days due to standardization on the MPEG — MP4/H.264/AAC — stack)
  5. What counts as a multimedia standard in this day and age (comparing the foregoing MPEG stack with the WebM/VP8/Vorbis stack)
  6. Trade-offs to consider when engineering a multimedia solution
  7. Optimization doesn’t always work the way you think it does (not everything touted as a massive speed-up in the world of computing — whether it be multithreaded CPUs, GPGPUs, new SIMD instruction sets — will necessarily be applicable to multimedia processing)
  8. A practical guide to legal issues would not be amiss
  9.  ???

  What other items count as “something multimedia-related that every programmer should know” ?