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Rennes Emotion Map 2010-11
19 octobre 2011, par
Mis à jour : Juillet 2013
Langue : français
Type : Texte
Autres articles (89)
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17 mai 2013, parDans MédiaSPIP, une rubrique a 2 noms : catégorie et rubrique.
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21 juin 2013, parFormulaire de création d’une catégorie
Pour ceux qui connaissent bien SPIP, une catégorie peut être assimilée à une rubrique.
Dans le cas d’un document de type catégorie, les champs proposés par défaut sont : Texte
On peut modifier ce formulaire dans la partie :
Administration > Configuration des masques de formulaire.
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Benefits and Shortcomings of Multi-Touch Attribution
13 mars 2023, par Erin — Analytics TipsFew sales happen instantly. Consumers take their time to discover, evaluate and become convinced to go with your offer.
Multi-channel attribution (also known as multi-touch attribution or MTA) helps businesses better understand which marketing tactics impact consumers’ decisions at different stages of their buying journey. Then double down on what’s working to secure more sales.
Unlike standard analytics, multi-channel modelling combines data from various channels to determine their cumulative and independent impact on your conversion rates.
The main benefit of multi-touch attribution is obvious : See top-performing channels, as well as those involved in assisted conversions. The drawback of multi-touch attribution : It comes with a more complex setup process.
If you’re on the fence about getting started with multi-touch attribution, here’s a summary of the main arguments for and against it.
What Are the Benefits of Multi-Touch Attribution ?
Remember an old parable of blind men and an elephant ?
Each one touched the elephant and drew conclusions about how it might look. The group ended up with different perceptions of the animal and thought the others were lying…until they decided to work together on establishing the truth.
Multi-channel analytics works in a similar way : It reconciles data from various channels and campaign types into one complete picture. So that you can get aligned on the efficacy of different campaign types and gain some other benefits too.
Better Understanding of Customer Journeys
On average, it takes 8 interactions with a prospect to generate a conversion. These interactions happen in three stages :
- Awareness : You need to introduce your company to the target buyers and pique their interest in your solution (top-of-the-funnel).
- Consideration : The next step is to channel this casual interest into deliberate research and evaluation of your offer (middle-of-the-funnel).
- Decision : Finally, you need to get the buyer to commit to your offer and close the deal (bottom-of-the-funnel).
You can analyse funnels using various attribution models — last-click, fist-click, position-based attribution, etc. Each model, however, will spotlight the different element(s) of your sales funnel.
For example, a single-touch attribution model like last-click zooms in on the bottom-of-the-funnel stage. You can evaluate which channels (or on-site elements) sealed the deal for the prospect. For example, a site visitor arrived from an affiliate link and started a free trial. In this case, the affiliate (referral traffic) gets 100% credit for the conversion.
This measurement tactic, however, doesn’t show which channels brought the customer to the very bottom of your funnel. For instance, they may have interacted with a social media post, your landing pages or a banner ad before that.
Multi-touch attribution modelling takes funnel analysis a notch further. In this case, you map more steps in the customer journey — actions, events, and pages that triggered a visitor’s decision to convert — in your website analytics tool.
Then, select a multi-touch attribution model, which provides more backward visibility aka allows you to track more than one channel, preceding the conversion.
For example, a Position Based attribution model reports back on all interactions a site visitor had between their first visit and conversion.
A prospect first lands at your website via search results (Search traffic), which gets a 40% credit in this model. Two days later, the same person discovers a mention of your website on another blog and visits again (Referral traffic). This time, they save the page as a bookmark and revisit it again in two more days (Direct traffic). Each of these channels will get a 10% credit. A week later, the prospect lands again on your site via Twitter (Social) and makes a request for a demo. Social would then receive a 40% credit for this conversion. Last-click would have only credited social media and first-click — search engines.
The bottom line : Multi-channel attribution models show how different channels (and marketing tactics) contribute to conversions at different stages of the customer journey. Without it, you get an incomplete picture.
Improved Budget Allocation
Understanding causal relationships between marketing activities and conversion rates can help you optimise your budgets.
First-click/last-click attribution models emphasise the role of one channel. This can prompt you toward the wrong conclusions.
For instance, your Facebook ads campaigns do great according to a first-touch model. So you decide to increase the budget. What you might be missing though is that you could have an even higher conversion rate and revenue if you fix “funnel leaks” — address high drop-off rates during checkout, improve page layout and address other possible reasons for exiting the page.
Funnel reports at Matomo allow you to see how many people proceed to the next conversion stage and investigate why they drop off. By knowing when and why people abandon their purchase journey, you can improve your marketing velocity (aka the speed of seeing the campaign results) and your marketing costs (aka the budgets you allocate toward different assets, touchpoints and campaign types).
Or as one of the godfathers of marketing technology, Dan McGaw, explained in a webinar :
“Once you have a multi-touch attribution model, you [can] actually know the return on ad spend on a per-campaign basis. Sometimes, you can get it down to keywords. Sometimes, you can get down to all kinds of other information, but you start to realise, “Oh, this campaign sucks. I should shut this off.” And then really, that’s what it’s about. It’s seeing those campaigns that suck and turning them off and then taking that budget and putting it into the campaigns that are working”.
More Accurate Measurements
The big boon of multi-channel marketing attribution is that you can zoom in on various elements of your funnel and gain granular data on the asset’s performance.
In other words : You get more accurate insights into the different elements involved in customer journeys. But for accurate analytics measurements, you must configure accurate tracking.
Define your objectives first : How do you want a multi-touch attribution tool to help you ? Multi-channel attribution analysis helps you answer important questions such as :
- How many touchpoints are involved in the conversions ?
- How long does it take for a lead to convert on average ?
- When and where do different audience groups convert ?
- What is your average win rate for different types of campaigns ?
Your objectives will dictate which multi-channel modelling approach will work best for your business — as well as the data you’ll need to collect.
At the highest level, you need to collect two data points :
- Conversions : Desired actions from your prospects — a sale, a newsletter subscription, a form submission, etc. Record them as tracked Goals.
- Touchpoints : Specific interactions between your brand and targets — specific page visits, referral traffic from a particular marketing channel, etc. Record them as tracked Events.
Your attribution modelling software will then establish correlation patterns between actions (conversions) and assets (touchpoints), which triggered them.
The accuracy of these measurements, however, will depend on the quality of data and the type of attribution modelling used.
Data quality stands for your ability to procure accurate, complete and comprehensive information from various touchpoints. For instance, some data won’t be available if the user rejected a cookie consent banner (unless you’re using a privacy-focused web analytics tool like Matomo).
Different attribution modelling techniques come with inherent shortcomings too as they don’t accurately represent the average sales cycle length or track visitor-level data, which allows you to understand which customer segments convert best.
Learn more about selecting the optimal multi-channel attribution model for your business.
What Are the Limitations of Multi-Touch Attribution ?
Overall, multi-touch attribution offers a more comprehensive view of the conversion paths. However, each attribution model (except for custom ones) comes with inherent assumptions about the contribution of different channels (e.g,. 25%-25%-25%-25% in linear attribution or 40%-10%-10%-40% in position-based attribution). These conversion credit allocations may not accurately represent the realities of your industry.
Also, most attribution models don’t reflect incremental revenue you gain from existing customers, which aren’t converting through analysed channels. For example, account upgrades to a higher tier, triggered via an in-app offer. Or warranty upsell, made via a marketing email.
In addition, you should keep in mind several other limitations of multi-touch attribution software.
Limited Marketing Mix Analysis
Multi-touch attribution tools work in conjunction with your website analytics app (as they draw most data from it). Because of that, such models inherit the same visibility into your marketing mix — a combo of tactics you use to influence consumer decisions.
Multi-touch attribution tools cannot evaluate the impact of :
- Dark social channels
- Word-of-mouth
- Offline promotional events
- TV or out-of-home ad campaigns
If you want to incorporate this data into your multi-attribution reporting, you’ll have to procure extra data from other systems — CRM, ad measurement partners, etc, — and create complex custom analytics models for its evaluation.
Time-Based Constraints
Most analytics apps provide a maximum 90-day lookback window for attribution. This can be short for companies with longer sales cycles.
Source : Marketing Charts Marketing channels can be overlooked or underappreciated when your attribution window is too short. Because of that, you may curtail spending on brand awareness campaigns, which, in turn, will reduce the number of people entering the later stages of your funnel.
At the same time, many businesses would also want to track a look-forward window — the revenue you’ll get from one customer over their lifetime. In this case, not all tools may allow you to capture accurate information on repeat conversions — through re-purchases, account tier updates, add-ons, upsells, etc.
Again, to get an accurate picture you’ll need to understand how far into the future you should track conversions. Will you only record your first sales as a revenue number or monitor customer lifetime value (CLV) over 3, 6 or 12 months ?
The latter is more challenging to do. But CLV data can add another depth of dimension to your modelling accuracy. With Matomo, you set up this type of tracking by using our visitors’ tracking feature. We can help you track select visitors with known identifiers (e.g. name or email address) to discover their visiting patterns over time.
Limited Access to Raw Data
In web analytics, raw data stands for unprocessed website visitor information, stripped from any filters, segmentation or sampling applied.
Data sampling is a practice of analysing data subsets (instead of complete records) to extrapolate findings towards the entire data set. Google Analytics 4 applies data sampling once you hit over 500k sessions at the property level. So instead of accurate, real-life reporting, you receive approximations, generated by machine learning models. Data sampling is one of the main reasons behind Google Analytics’ accuracy issues.
In multi-channel attribution modelling, usage of sampled data creates further inconsistencies between the reports and the actual state of affairs. For instance, if your website generates 5 million page views, GA multi-touch analytical reports are based on the 500K sample size aka only 90% of the collected information. This hardly represents the real effect of all marketing channels and can lead to subpar decision-making.
With Matomo, the above is never an issue. We don’t apply data sampling to any websites (no matter the volume of traffic) and generate all the reports, including multi-channel attribution ones, based on 100% real user data.
AI Application
On the other hand, websites with smaller traffic volumes often have limited sampling datasets for building attribution models. Some tracking data may also be not available because the visitor rejected a cookie banner, for instance. On average, less than 50% of users in Australia, France, Germany, Denmark and the US among other countries always consent to all cookies.
To compensate for such scenarios, some multi-touch attribution solutions apply AI algorithms to “fill in the blanks”, which impacts the reporting accuracy. Once again, you get approximate data of what probably happened. However, Matomo is legally exempt from showing a cookie consent banner in most EU markets. Meaning you can collect 100% accurate data to make data-driven decisions.
Difficult Technical Implementation
Ever since attribution modelling got traction in digital marketing, more and more tools started to emerge.
Source : Markets and Markets Most web analytics apps include multi-touch attribution reports. Then there are standalone multi-channel attribution platforms, offering extra features for conversion rate optimization, offline channel tracking, data-driven custom modelling, etc.
Most advanced solutions aren’t available out of the box. Instead, you have to install several applications, configure integrations with requested data sources, and then use the provided interfaces to code together custom data models. Such solutions are great if you have a technical marketer or a data science team. But a steep learning curve and high setup costs make them less attractive for smaller teams.
Conclusion
Multi-touch attribution modelling lifts the curtain in more steps, involved in various customer journeys. By understanding which touchpoints contribute to conversions, you can better plan your campaign types and budget allocations.
That said, to benefit from multi-touch attribution modelling, marketers also need to do the preliminary work : Determine the key goals, set up event and conversion tracking, and then — select the optimal attribution model type and tool.
Matomo combines simplicity with sophistication. We provide marketers with familiar, intuitive interfaces for setting up conversion tracking across the funnel. Then generate attribution reports, based on 100% accurate data (without any sampling or “guesstimation” applied). You can also get access to raw analytics data to create custom attribution models or plug it into another tool !
Start using accurate, easy-to-use multi-channel attribution with Matomo. Start your free 21-day trial now. No credit card requried.
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Converting a voice recording into an mp3
21 juillet 2023, par Raphael MFor a vue.js messaging project, I'm using the wavesurfer.js library to record voice messages. However Google chrome gives me an audio/webm blob and Safari gives me an audio/mp4 blob.


I'm trying to find a solution to transcode the blob into audio/mp3. I've tried several methods, including ffmpeg. However, ffmpeg gives me an error when compiling "npm run dev" : "Can't resolve '/node_modules/@ffmpeg/core/dist/ffmpeg-core.js'".


"@ffmpeg/core": "^0.11.0",
"@ffmpeg/ffmpeg": "^0.11.6"


I tried to downgrade ffmpeg


"@ffmpeg/core": "^0.9.0",
"@ffmpeg/ffmpeg": "^0.9.8"


I no longer get the error message when compiling, but when I want to convert my audio stream, the console displays a problem with SharedBuffer : "Uncaught (in promise) ReferenceError : SharedArrayBuffer is not defined".


Here's my complete code below.
Is there a reliable way of transcoding the audio stream into mp3 ?


Can you give me an example ?


Thanks


<template>
 <div class="left-panel">
 <header class="radial-blue">
 <div class="container">
 <h1 class="mb-30">Posez votre première question à nos thérapeutes</h1>
 <p><b>Attention</b>, vous disposez seulement de 2 messages. Veillez à les utiliser de manière judicieuse !</p>
 <div class="available-messages">
 <div class="item disabled">
 <span>Message 1</span>
 </div>
 <div class="item">
 <span>Message 2</span>
 </div>
 </div>
 </div>
 </header>
 </div>
 <div class="right-panel">
 <div class="messagerie bg-light">
 <messaging ref="messagingComponent"></messaging>
 <footer>
 <button type="button"><img src="http://stackoverflow.com/assets/backoffice/images/record-start.svg" style='max-width: 300px; max-height: 300px' /></button>
 <div class="loading-animation">
 <img src="http://stackoverflow.com/assets/backoffice/images/record-loading.svg" style='max-width: 300px; max-height: 300px' />
 </div>
 <button type="button"><img src="http://stackoverflow.com/assets/backoffice/images/record-stop.svg" style='max-width: 300px; max-height: 300px' /></button>
 <div class="textarea gradient text-dark">
 <textarea placeholder="Posez votre question"></textarea>
 </div>
 <div class="loading-text">Chargement de votre microphone en cours...</div>
 <div class="loading-text">Envoi de votre message en cours...</div>
 <div ref="visualizer"></div>
 <button type="button"><img src="http://stackoverflow.com/assets/backoffice/images/send.svg" style='max-width: 300px; max-height: 300px' /></button>
 <div>
 {{ formatTimer() }}
 </div>
 </footer>
 </div>
 </div>
</template>

<code class="echappe-js"><script>&#xA;import Messaging from "./Messaging.vue";&#xA;import { createFFmpeg, fetchFile } from &#x27;@ffmpeg/ffmpeg&#x27;;&#xA;&#xA;export default {&#xA; data() {&#xA; return {&#xA; isMicrophoneLoading: false,&#xA; isSubmitLoading: false,&#xA; isMobile: false,&#xA; isMessagerie: false,&#xA; isRecording: false,&#xA; audioUrl: &#x27;&#x27;,&#xA; messageText: &#x27;&#x27;,&#xA; message:null,&#xA; wavesurfer: null,&#xA; access:(this.isMobile?&#x27;denied&#x27;:&#x27;granted&#x27;),&#xA; maxMinutes: 5,&#xA; orangeTimer: 3,&#xA; redTimer: 4,&#xA; timer: 0,&#xA; timerInterval: null,&#xA; ffmpeg: null,&#xA; };&#xA; },&#xA; components: {&#xA; Messaging,&#xA; },&#xA; mounted() {&#xA; this.checkScreenSize();&#xA; window.addEventListener(&#x27;resize&#x27;, this.checkScreenSize);&#xA;&#xA; if(!this.isMobile)&#xA; {&#xA; this.$moment.locale(&#x27;fr&#x27;);&#xA; window.addEventListener(&#x27;beforeunload&#x27;, (event) => {&#xA; if (this.isMessagerie) {&#xA; event.preventDefault();&#xA; event.returnValue = &#x27;&#x27;;&#xA; }&#xA; });&#xA;&#xA; this.initializeWaveSurfer();&#xA; }&#xA; },&#xA; beforeUnmount() {&#xA; window.removeEventListener(&#x27;resize&#x27;, this.checkScreenSize);&#xA; },&#xA; methods: {&#xA; checkScreenSize() {&#xA; this.isMobile = window.innerWidth < 1200;&#xA;&#xA; const windowHeight = window.innerHeight;&#xA; const navbarHeight = this.$navbarHeight;&#xA; let padding = parseInt(navbarHeight &#x2B;181);&#xA;&#xA; const messageListHeight = windowHeight - padding;&#xA; this.$refs.messagingComponent.$refs.messageList.style.height = messageListHeight &#x2B; &#x27;px&#x27;;&#xA; },&#xA; showMessagerie() {&#xA; this.isMessagerie = true;&#xA; this.$refs.messagingComponent.scrollToBottom();&#xA; },&#xA; checkMicrophoneAccess() {&#xA; if (navigator.mediaDevices &amp;&amp; navigator.mediaDevices.getUserMedia) {&#xA;&#xA; return navigator.mediaDevices.getUserMedia({audio: true})&#xA; .then(function (stream) {&#xA; stream.getTracks().forEach(function (track) {&#xA; track.stop();&#xA; });&#xA; return true;&#xA; })&#xA; .catch(function (error) {&#xA; console.error(&#x27;Erreur lors de la demande d\&#x27;acc&#xE8;s au microphone:&#x27;, error);&#xA; return false;&#xA; });&#xA; } else {&#xA; console.error(&#x27;getUserMedia n\&#x27;est pas support&#xE9; par votre navigateur.&#x27;);&#xA; return false;&#xA; }&#xA; },&#xA; initializeWaveSurfer() {&#xA; this.wavesurfer = this.$wavesurfer.create({&#xA; container: &#x27;#visualizer&#x27;,&#xA; barWidth: 3,&#xA; barHeight: 1.5,&#xA; height: 46,&#xA; responsive: true,&#xA; waveColor: &#x27;rgba(108,115,202,0.3)&#x27;,&#xA; progressColor: &#x27;rgba(108,115,202,1)&#x27;,&#xA; cursorColor: &#x27;transparent&#x27;&#xA; });&#xA;&#xA; this.record = this.wavesurfer.registerPlugin(this.$recordPlugin.create());&#xA; },&#xA; startRecording() {&#xA; const _this = this;&#xA; this.isMicrophoneLoading = true;&#xA;&#xA; setTimeout(() =>&#xA; {&#xA; _this.checkMicrophoneAccess().then(function (accessible)&#xA; {&#xA; if (accessible) {&#xA; _this.record.startRecording();&#xA;&#xA; _this.record.once(&#x27;startRecording&#x27;, () => {&#xA; _this.isMicrophoneLoading = false;&#xA; _this.isRecording = true;&#xA; _this.updateChildMessage( &#x27;server&#x27;, &#x27;Allez-y ! Vous pouvez enregistrer votre message audio maintenant. La dur&#xE9;e maximale autoris&#xE9;e pour votre enregistrement est de 5 minutes.&#x27;, &#x27;text&#x27;, &#x27;&#x27;, &#x27;Message automatique&#x27;);&#xA; _this.startTimer();&#xA; });&#xA; } else {&#xA; _this.isRecording = false;&#xA; _this.isMicrophoneLoading = false;&#xA; _this.$swal.fire({&#xA; title: &#x27;Microphone non d&#xE9;tect&#xE9;&#x27;,&#xA; html: &#x27;<p>Le microphone de votre appareil est inaccessible ou l\&#x27;acc&#xE8;s a &#xE9;t&#xE9; refus&#xE9;.</p><p>Merci de v&#xE9;rifier les param&#xE8;tres de votre navigateur afin de v&#xE9;rifier les autorisations de votre microphone.</p>&#x27;,&#xA; footer: &#x27;<a href='http://stackoverflow.com/contact'>Vous avez besoin d\&#x27;aide ?</a>&#x27;,&#xA; });&#xA; }&#xA; });&#xA; }, 100);&#xA; },&#xA; stopRecording() {&#xA; this.stopTimer();&#xA; this.isRecording = false;&#xA; this.isSubmitLoading = true;&#xA; this.record.stopRecording();&#xA;&#xA; this.record.once(&#x27;stopRecording&#x27;, () => {&#xA; const blobUrl = this.record.getRecordedUrl();&#xA; fetch(blobUrl).then(response => response.blob()).then(blob => {&#xA; this.uploadAudio(blob);&#xA; });&#xA; });&#xA; },&#xA; startTimer() {&#xA; this.timerInterval = setInterval(() => {&#xA; this.timer&#x2B;&#x2B;;&#xA; if (this.timer === this.maxMinutes * 60) {&#xA; this.stopRecording();&#xA; }&#xA; }, 1000);&#xA; },&#xA; stopTimer() {&#xA; clearInterval(this.timerInterval);&#xA; this.timer = 0;&#xA; },&#xA; formatTimer() {&#xA; const minutes = Math.floor(this.timer / 60);&#xA; const seconds = this.timer % 60;&#xA; const formattedMinutes = minutes < 10 ? `0${minutes}` : minutes;&#xA; const formattedSeconds = seconds < 10 ? `0${seconds}` : seconds;&#xA; return `${formattedMinutes}:${formattedSeconds}`;&#xA; },&#xA; async uploadAudio(blob)&#xA; {&#xA; const format = blob.type === &#x27;audio/webm&#x27; ? &#x27;webm&#x27; : &#x27;mp4&#x27;;&#xA;&#xA; // Convert the blob to MP3&#xA; const mp3Blob = await this.convertToMp3(blob, format);&#xA;&#xA; const s3 = new this.$AWS.S3({&#xA; accessKeyId: &#x27;xxx&#x27;,&#xA; secretAccessKey: &#x27;xxx&#x27;,&#xA; region: &#x27;eu-west-1&#x27;&#xA; });&#xA;&#xA; var currentDate = new Date();&#xA; var filename = currentDate.getDate().toString() &#x2B; &#x27;-&#x27; &#x2B; currentDate.getMonth().toString() &#x2B; &#x27;-&#x27; &#x2B; currentDate.getFullYear().toString() &#x2B; &#x27;--&#x27; &#x2B; currentDate.getHours().toString() &#x2B; &#x27;-&#x27; &#x2B; currentDate.getMinutes().toString() &#x2B; &#x27;.mp4&#x27;;&#xA;&#xA; const params = {&#xA; Bucket: &#x27;xxx/audio&#x27;,&#xA; Key: filename,&#xA; Body: mp3Blob,&#xA; ACL: &#x27;public-read&#x27;,&#xA; ContentType: &#x27;audio/mp3&#x27;&#xA; }&#xA;&#xA; s3.upload(params, (err, data) => {&#xA; if (err) {&#xA; console.error(&#x27;Error uploading audio:&#x27;, err)&#xA; } else {&#xA; const currentDate = this.$moment();&#xA; const timestamp = currentDate.format(&#x27;dddd DD MMMM YYYY HH:mm&#x27;);&#xA;&#xA; this.updateChildMessage( &#x27;client&#x27;, &#x27;&#x27;, &#x27;audio&#x27;, mp3Blob, timestamp);&#xA; this.isSubmitLoading = false;&#xA; }&#xA; });&#xA; },&#xA; async convertToMp3(blob, format) {&#xA; const ffmpeg = createFFmpeg({ log: true });&#xA; await ffmpeg.load();&#xA;&#xA; const inputPath = &#x27;input.&#x27; &#x2B; format;&#xA; const outputPath = &#x27;output.mp3&#x27;;&#xA;&#xA; ffmpeg.FS(&#x27;writeFile&#x27;, inputPath, await fetchFile(blob));&#xA;&#xA; await ffmpeg.run(&#x27;-i&#x27;, inputPath, &#x27;-acodec&#x27;, &#x27;libmp3lame&#x27;, outputPath);&#xA;&#xA; const mp3Data = ffmpeg.FS(&#x27;readFile&#x27;, outputPath);&#xA; const mp3Blob = new Blob([mp3Data.buffer], { type: &#x27;audio/mp3&#x27; });&#xA;&#xA; ffmpeg.FS(&#x27;unlink&#x27;, inputPath);&#xA; ffmpeg.FS(&#x27;unlink&#x27;, outputPath);&#xA;&#xA; return mp3Blob;&#xA; },&#xA; sendMessage() {&#xA; this.isSubmitLoading = true;&#xA; if (this.messageText.trim() !== &#x27;&#x27;) {&#xA; const emmet = &#x27;client&#x27;;&#xA; const text = this.escapeHTML(this.messageText)&#xA; .replace(/\n/g, &#x27;<br>&#x27;);&#xA;&#xA; const currentDate = this.$moment();&#xA; const timestamp = currentDate.format(&#x27;dddd DD MMMM YYYY HH:mm&#x27;);&#xA;&#xA; this.$nextTick(() => {&#xA; this.messageText = &#x27;&#x27;;&#xA;&#xA; const textarea = document.getElementById(&#x27;messageTextarea&#x27;);&#xA; if (textarea) {&#xA; textarea.scrollTop = 0;&#xA; textarea.scrollLeft = 0;&#xA; }&#xA; });&#xA;&#xA; this.updateChildMessage(emmet, text, &#x27;text&#x27;, &#x27;&#x27;, timestamp);&#xA; this.isSubmitLoading = false;&#xA; }&#xA; },&#xA; escapeHTML(text) {&#xA; const map = {&#xA; &#x27;&amp;&#x27;: &#x27;&amp;amp;&#x27;,&#xA; &#x27;<&#x27;: &#x27;&amp;lt;&#x27;,&#xA; &#x27;>&#x27;: &#x27;&amp;gt;&#x27;,&#xA; &#x27;"&#x27;: &#x27;&amp;quot;&#x27;,&#xA; "&#x27;": &#x27;&amp;#039;&#x27;,&#xA; "`": &#x27;&amp;#x60;&#x27;,&#xA; "/": &#x27;&amp;#x2F;&#x27;&#xA; };&#xA; return text.replace(/[&amp;<>"&#x27;`/]/g, (match) => map[match]);&#xA; },&#xA; updateChildMessage(emmet, text, type, blob, timestamp) {&#xA; const newMessage = {&#xA; id: this.$refs.messagingComponent.lastMessageId &#x2B; 1,&#xA; emmet: emmet,&#xA; text: text,&#xA; type: type,&#xA; blob: blob,&#xA; timestamp: timestamp&#xA; };&#xA;&#xA; this.$refs.messagingComponent.updateMessages(newMessage);&#xA; }&#xA; },&#xA;};&#xA;</script>


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Data Privacy Issues to Be Aware of and How to Overcome Them
9 mai 2024, par ErinThese findings send a clear message : if companies want to build consumer trust, they must honour users’ data privacy concerns. The best way to do this is by adopting transparent, ethical data collection practices — which also supports the simultaneous goal of maintaining compliance with regional data privacy acts.
So what exactly is data privacy ?
Data privacy refers to the protections that govern how personal data is collected and used, especially with respect to an individual’s control over when, where and what information they share with others.
Data privacy also refers to the extent to which organisations and governments go to protect the personal data that they collect. Different parts of the world have different data privacy acts. These regulations outline the measures organisations must take to safeguard the data they collect from their consumers and residents. They also outline the rights of data subjects, such as the right to opt out of a data collection strategy and correct false data.
As more organisations rely on personal data to provide services, people have become increasingly concerned about data privacy, particularly the level of control they have over their data and what organisations and governments do with their data.
Why should organisations take data privacy issues seriously ?
Organisations should take data privacy seriously because consumer trust depends on it and because they have a legal obligation to do so. Doing so also helps organisations prevent threat actors from illegally accessing consumer data. Strong data privacy helps you :
Comply with data protection acts
Organisations that fail to comply with regional data protection acts could face severe penalties. For example, consider the General Data Protection Regulation (GDPR), which is the primary data protection action for the European Union. The penalty system for GDPR fines consists of two tiers :
- Less severe infringements — Which can lead to fines of up to €10 million (or 2% of an organisation’s worldwide annual revenue from the last financial year) per infringement.
- More severe infringements — This can lead to fines of up to €20 million (or 4% of an organisation’s worldwide annual revenue from the last financial year) per infringement.
The monetary value of these penalties is significant, so it is in the best interest of all organisations to be GDPR compliant. Other data protection acts have similar penalty systems to the GDPR. In Brazil, organisations non-compliant with the Lei Geral de Proteção de Dados Pessoais (LGPD) could be fined up to 50 million reals (USD 10 million) or 2% of their worldwide annual revenue from the last financial year.
Improve brand reputation
Research shows that 81% of consumers feel that how an organisation treats their data reflects how they treat them as a consumer. This means a strong correlation exists between how people perceive an organisation’s data collection practices and their other business activities.
Data breaches can have a significant impact on an organisation, especially their reputation and level of consumer trust. In 2022, hackers stole customer data from the Australian private health insurance company, Medibank, and released the data onto the dark web. Optus was also affected by a cyberattack, which compromised the information of current and former customers. Following these events, a study by Nature revealed that 83 percent of Australians were concerned about the security of their data, particularly in the hands of their service providers.
Protect consumer data
Protecting consumer data is essential to preventing data breaches. Unfortunately, cybersecurity attacks are becoming increasingly sophisticated. In 2023 alone, organisations like T-Mobile and Sony have been compromised and their data stolen.
One way to protect consumer data is to retain 100% data ownership. This means that no external parties can see your data. You can achieve this with the web analytics platform, Matomo. With Matomo, you can store your own data on-premises (your own servers) or in the Cloud. Under both arrangements, you retain full ownership of your data.
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What are the most pressing data privacy issues that organisations are facing today ?
Today’s most pressing data privacy challenges organisations face are complying with new data protection acts, maintaining consumer trust, and choosing the right web analytics platform. Here is a detailed breakdown of what these challenges mean for businesses.
Complying with new and emerging data protection laws
Ever since the European Union introduced the GDPR in 2018, other regions have enacted similar data protection acts. In the United States, California (CCPA), Virginia (VCDPA) and Colorado have their own state-level data protection acts. Meanwhile, Brazil and China have the General Data Protection Law (LGPD) and the Personal Information Protection Law (PIPL), respectively.
For global organisations, complying with multiple data protection acts can be tough, as each act interprets the GDPR model differently. They each have their own provisions, terminology (or different interpretations of the same terminology), and penalties.
A web analytics platform like Matomo can help your organisation comply with the GDPR and similar data protection acts. It has a range of privacy-friendly features including data anonymisation, IP anonymisation, and first-party cookies by default. You can also create and publish custom opt-out forms and let visitors view your collected data.
Today’s most pressing data privacy challenges organisations face are complying with new data protection acts, maintaining consumer trust, and choosing the right web analytics platform. Here is a detailed breakdown of what these challenges mean for businesses.
Complying with new and emerging data protection laws
Ever since the European Union introduced the GDPR in 2018, other regions have enacted similar data protection acts. In the United States, California (CCPA), Virginia (VCDPA) and Colorado have their own state-level data protection acts. Meanwhile, Brazil and China have the General Data Protection Law (LGPD) and the Personal Information Protection Law (PIPL), respectively.
For global organisations, complying with multiple data protection acts can be tough, as each act interprets the GDPR model differently. They each have their own provisions, terminology (or different interpretations of the same terminology), and penalties.
A web analytics platform like Matomo can help your organisation comply with the GDPR and similar data protection acts. It has a range of privacy-friendly features including data anonymisation, IP anonymisation, and first-party cookies by default. You can also create and publish custom opt-out forms and let visitors view your collected data.
Try Matomo for Free
Get the web insights you need, while respecting user privacy.
Maintaining consumer trust
Building (and maintaining) consumer trust is a major hurdle for organisations. Stories about data breaches and data scandals — notably the Cambridge Analytical scandal — instil fear into the public’s hearts. After a while, people wonder, “Which company is next ?”
One way to build and maintain trust is to be transparent about your data collection practices. Be open and honest about what data you collect (and why), where you store the data (and for how long), how you protect the data and whether you share data with third parties.
You should also prepare and publish your cyber incident response plan. Outline the steps you will take to contain, assess and manage a data breach.
Choosing the right web analytics platform
Organisations use web analytics to track and monitor web traffic, manage advertising campaigns and identify potential revenue streams. The most widely used web analytics platform is Google Analytics ; however, many users have raised concerns about privacy issues.
When searching for a Google Analytics alternative, consider a web analytics platform that takes data privacy seriously. Features like cookieless tracking, data anonymisation and IP anonymisation will let you track user activity without collecting personal data. Custom opt-out forms will let your web visitors enforce their data subject rights.
What data protection acts exist right now ?
As time goes on and more countries introduce their own data privacy laws, it becomes harder for organisations to adapt. Understanding the basics of each act can help streamline compliance. Here is what you need to know about the latest data protection acts.
General Data Protection Regulation (GDPR)
The GDPR is a data protection act created by the European Parliament and Council of the European Union. It comprises 11 chapters covering the general provisions, principles, data subject rights, penalties and other relevant information.
The GDPR established a framework for organisations and governments to follow regarding the collection, processing, storing, transferring and deletion of personal data. Since coming into effect on 25 May 2018, other countries have used the GDPR as a model to enact similar data protection acts.
General Data Protection Law (LGPD)
The LGPD is Brazil’s main data protection act. The Federal Republic of Brazil signed the act on August 14, 2018, and it officially commenced on August 16, 2020. The act aimed to unify the 40 Brazilian laws that previously governed the country’s approach to processing personal data.
Like the GDPR, the LGPD serves as a legal framework to regulate the collection and usage of personal data. It also outlines the duties of the national data protection authority, the Autoridade Nacional de Proteção de Dados (ANPD), which is responsible for enforcing the LGPD.
Privacy Amendment (Notifiable Data Breaches) for the Privacy Act 1988
Established by the Australian House of Representatives, the Privacy Act 1988 outlines how organisations and governments must manage personal data. The federal government has amended the Privacy Act 1988 twice — once in 2000, and again in 2014 — and is committing to a significant overhaul.
The new proposals will make it easier for individuals to opt out of data collection, organisations will have to destroy collected data after a reasonable period, and small businesses will no longer be exempt from the Privacy Act.
United States
The United States does not have a federally mandated data protection act. Instead, each state has been gradually introducing its data protection acts, with the first being California, followed by Virginia and Colorado. Over a dozen other states are following suit, too.
- California — The then-Governor of California Jerry Brown signed the California Consumer Privacy Act (CCPA) into law on June 28, 2018. The act applies to organisations with gross annual revenue of more than USD 25 million, and that buy or sell products and services to 100,000 or more households or consumers.
- Virginia — The Virginia Consumer Data Protection Act (VCDPA) took effect on January 1, 2023. It applies to organisations that process (or control) the personal data of 100,000 or more consumers in a financial year. It also applies to organisations that process (or control) the personal data of 25,000 or more consumers and gain more than 50% of gross revenue by selling that data.
- Colorado — Colorado Governor Jared Polis signed the Colorado Privacy Act (ColoPA) into law in July 2021. The act applies to organisations that process (or control) the personal data of 100,000 or more Colorado residents annually. It also applies to organisations that earn revenue from the sale of personal data of at least 25,000 Colorado residents.
Because the US regulations are a patchwork of differing legal acts, compliance can be a complicated endeavour for organisations operating across multiple jurisdictions.
How can organisations comply with data protection acts ?
One way to ensure compliance is to keep up with the latest data protection acts. But that is a very time-consuming task.
Over 16 US states are in the process of signing new acts. And countries like China, Turkey and Australia are about to overhaul — in a big way — their own data privacy protection acts.
Knowledge is power. But you also have a business to run, right ?
That’s where Matomo comes in.
Streamline data privacy compliance with Matomo
Although data privacy is a major concern for individuals and companies operating in multiple parts of the world — as they must comply with new, conflicting data protection laws — it is possible to overcome the biggest data privacy issues.
Matomo enables your visitors to take back control of their data. You can choose where you store your data on-premises and in the Cloud (EU-based). You can use various features, retain 100% data ownership, protect visitor privacy and ensure compliance.
Try the 21-day free trial of Matomo today, start your free analytics trial. No credit card required.
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