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Revolution of Open-source and film making towards open film making
6 octobre 2011, par kent1
Mis à jour : Juillet 2013
Langue : English
Type : Texte
Autres articles (43)
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MediaSPIP v0.2
21 juin 2013, par kent1MediaSPIP 0.2 est la première version de MediaSPIP stable.
Sa date de sortie officielle est le 21 juin 2013 et est annoncée ici.
Le fichier zip ici présent contient uniquement les sources de MediaSPIP en version standalone.
Comme pour la version précédente, il est nécessaire d’installer manuellement l’ensemble des dépendances logicielles sur le serveur.
Si vous souhaitez utiliser cette archive pour une installation en mode ferme, il vous faudra également procéder à d’autres modifications (...) -
Mise à disposition des fichiers
14 avril 2011, par kent1Par défaut, lors de son initialisation, MediaSPIP ne permet pas aux visiteurs de télécharger les fichiers qu’ils soient originaux ou le résultat de leur transformation ou encodage. Il permet uniquement de les visualiser.
Cependant, il est possible et facile d’autoriser les visiteurs à avoir accès à ces documents et ce sous différentes formes.
Tout cela se passe dans la page de configuration du squelette. Il vous faut aller dans l’espace d’administration du canal, et choisir dans la navigation (...) -
MediaSPIP version 0.1 Beta
16 avril 2011, par kent1MediaSPIP 0.1 beta est la première version de MediaSPIP décrétée comme "utilisable".
Le fichier zip ici présent contient uniquement les sources de MediaSPIP en version standalone.
Pour avoir une installation fonctionnelle, il est nécessaire d’installer manuellement l’ensemble des dépendances logicielles sur le serveur.
Si vous souhaitez utiliser cette archive pour une installation en mode ferme, il vous faudra également procéder à d’autres modifications (...)
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What Is Data Ethics & Why Is It Important in Business ?
9 mai 2024, par ErinData is powerful — every business on earth uses data. But some are leveraging it more than others.
The problem ?
Not all businesses are using data ethically.
You need to collect, store, and analyse data to grow your business. But, if you aren’t careful, you could be crossing the line with your data usage into unethical territories.
In a society where data is more valuable than ever, it’s crucial you perform ethical practices.
In this article, we break down what data ethics is, why it’s important in business and how you can implement proper data ethics to ensure you stay compliant while growing your business.
What is data ethics ?
Data ethics are how a business collects, protects and uses data.
It’s one field of ethics focused on organisations’ moral obligation to collect, track, analyse and interpret data correctly.
Data ethics analyses multiple ways we use data :
- Collecting data
- Generating data
- Tracking data
- Analysing data
- Interpreting data
- Implementing activities based on data
Data ethics is a field that asks, “Is this right or wrong ?”
And it also asks, “Can we use data for good ?”
If businesses use data unethically, they could get into serious hot water with their customers and even with the law.
You need to use data to ensure you grow your business to the best of your ability. But, to maintain a clean slate in the eyes of your customers and authorities, you need to ensure you have strong data ethics.
Why you need to follow data ethics principles
In 2018, hackers broke into British Airways’ website by inserting harmful code, leading website visitors to a fraudulent site.
The result ?
British Airways customers gave their information to the hackers without realising it : credit cards, personal information, login information, addresses and more.
While this was a malicious attack, the reality is that data is an integral part of everyday life. Businesses need to do everything they can to protect their customers’ data and use it ethically.
Data ethics is crucial to understand as it sets the standard for what’s right and wrong for businesses. Without a clear grasp of data ethics, companies will willingly or neglectfully misuse data.
With a firm foundation of data ethics, businesses worldwide can make a collective effort to function smoothly, protect their customers, and, of course, protect their own reputation.
3 benefits of leaning into data ethics
We’re currently transitioning to a new world led by artificial intelligence.
While AI presents endless opportunities for innovation in the business world, there are also countless risks at play, and it’s never been more important to develop trust with your customers and stakeholders.
With an influx of data being created and tracked daily, you need to ensure your business is prioritising data ethics to ensure you maintain trust with your customers moving forward.
Here are three benefits of data ethics that will help you develop trust, maintain a solid reputation and stay compliant to continue growing your business :
1. Compliance with data privacy
Privacy is everything.
In a world where our data is being collected nonstop, and we live more public lives than ever with social media, AI and an influx of recording and tracking in everyday life, you need to protect the privacy of your customers.
One crucial way to protect that privacy is by complying with major data privacy regulations.
Some of the most common regulations you need to remain compliant with include :
- General Data Protection Regulation (GDPR)
- California Consumer Privacy Act (CCPA)
- Health Insurance Portability and Accountability Act (HIPAA)
- General Personal Data Protection Law (LGPD)
- Privacy and Electronic Communications (EC Directive) Regulations (PECR)
While these regulations don’t directly address ethics, there’s a core overlap between privacy requirements like accountability, lawfulness and AI ethics.
Matomo ensures you protect the privacy of your web and app users so you can track and improve your website performance with peace of mind.
2. Maintain a good reputation
While data ethics can help you maintain data privacy compliance, it can also help you maintain a good reputation online and offline.
All it takes is one bad event like the British Airways breach for your company’s reputation to be ruined.
If you want to keep a solid reputation and maintain trust with your stakeholders, customers and lawmakers, then you need to focus on developing strong data ethics.
Businesses that invest time in establishing proper data ethics set the right foundation to protect their reputation, develop trust with stakeholders and create goodwill and loyalty.
3. Increased trust means greater revenue
What happens when you establish proper data ethics ?
You’ll gain the trust of your customers, maintain a solid reputation and increase your brand image.
Customers who trust you to protect their privacy and data want to keep doing business with you.
So, what’s the end result for a business that values data ethics ?
You’ll generate more revenue in the long run. Trust is one thing you should never put on the back burner if you have plans to keep growing your business. By leaning more into data ethics, you’ll be able to build that brand reputation that helps people feel comfortable buying your products and services on repeat.
While spending time and money on data ethics may seem like an annoyance, the reality is that it’s a business investment that will pay dividends for years to come.
5 core data ethics principles
So, what exactly is involved in data ethics ?
For most people, data ethics is a pretty broad and vague term. If you’re curious about the core pillars of data ethics, then keep reading.
Here are five core data ethical principles you need to follow to ensure you’re protecting your customers’ data and maintaining trust :
1. Data ownership
The individual owns the data, not you. This is the first principle of data ethics. You don’t have control over someone else’s data. It’s theirs, and they have full ownership over it.
Just as stealing a TV from an electronics store is a crime, stealing (or collecting) someone’s personal data without their consent is considered unlawful and unethical.
Consent is the only way to ethically “own” someone’s data.
How can you collect someone’s data ethically ?
- Digital privacy policies
- Signed, written agreements
- Popups with checkboxes that allow you to track users’ behaviour
Essentially, anytime you’re collecting data from your website or app users, you need to ensure you’re asking permission for that data.
You should never assume a website visitor or customer is okay with you collecting your data automatically. Instead, ask permission to collect, track and use their data to avoid legal and ethical issues.
2. Transparency
The second core principle of data ethics within business is transparency. This means you need to be fully transparent on when, where and how you :
- Collect data
- Store data
- Use data
In other words, you need to allow your customers and website visitors to have a window inside your data activities.
They need to be able to see exactly how you plan on using the data you’re collecting from them.
For example, imagine you implemented a new initiative to personalise the website experience for each user based on individual behaviour. To do this, you’ll need to track cookies. In this case, you’d need to write up a new policy stating how this behavioural data is going to be collected, tracked and used.
It’s within your website visitors’ rights to access this information so they can choose whether or not they want to accept or decline your website’s cookies.
With any new data collection or tracking, you need to be 100% clear about how you’re going to use the data. You can’t be deceptive, misleading, or withholding any information on how you will use the data, as this is unethical and, in many cases, unlawful.
3. Privacy
Another important branch of ethics is privacy. The ethical implications of this should be obvious.
When your users, visitors, or customers enter your sphere of influence and you begin collecting data on them, you are responsible for keeping that data private.
When someone accepts the terms of your data usage, they’re not agreeing to have their data released to the public. They’re agreeing to let you leverage that data as their trusted business provider to better serve them. They expect you to maintain privacy.
You can’t spread private information to third parties. You can’t blast this data to the public.
This is especially important if someone allows you to collect and use their personally identifiable information (PII), such as :
- First and last name
- Email address
- Date of birth
- Home address
- Phone number
To protect your audience’s data, you should only store it in a secure database.
For example, Matomo’s web analytics solution guarantees the privacy of both your users and analytics data.
With Matomo, you have complete ownership of your data. Unlike other web analytics solutions that exploit your data for advertising purposes, Matomo users can use analytics with confidence, knowing that their data won’t be sold to advertisers.
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Get the web insights you need, while respecting user privacy.
4. Intention
When you collect and store data, you need to tell your users why you’re collecting their data. But there’s another principle of data ethics that goes beyond the reason you give your customers.
Intention is the reason you give yourself for collecting and using the data.
Before you start collecting and storing data, you should ask yourself the following :
- Why you need it
- What you’ll gain from it
- What changes you’ll be able to make after you analyse the data
If your intention is wrong in any way, it’s unethical to collect the data :
- You’re collecting data to hurt others
- You’re collecting data to profit from your users’ weaknesses
- You’re collecting data for any other malicious reason
When you collect data, you need to have the right intentions to maintain proper data ethics ; otherwise, you could harm your brand, break trust and ruin your reputation.
5. Outcomes
You may have the best intentions, but sometimes, there are negative outcomes from data use.
For example, British Airways’ intention was not to allow hackers to gain access and harm their users. But the reality is that their customers’ data was stolen and used for malicious purposes. While this isn’t technically unlawful, the outcome of collecting data ended badly.
To ensure proper data ethics, you must have good standing with your data. This means protecting your users at all costs, maintaining a good reputation and ensuring proper privacy measures are set up.
How to implement data ethics as a business leader
As a business leader, CTO or CEO, it’s your responsibility to implement data ethics within your organisation. Here are some tips to implement data ethics based on the size and stage of your organisation :
Startups
If you’re a startup, you need to be mindful of which technology and tools you use to collect, store and use data to help you grow your business.
It can be a real challenge to juggle all the moving parts of a startup since things can change so quickly. However, it’s crucial to establish a leader and allow easy access to ethical analysis resources to maintain proper data ethics early on.
Small and medium-sized businesses
As you begin scaling, you’ll likely be using even more technology. With each new business technique you implement, there will be new ways you’ll be collecting user data.
One of the key processes involved in managing data as you grow is to hire engineers who build out different technologies. You must have protocols, best practices and management overseeing the new technologies being built to ensure proper data ethics.
Global businesses
Have you scaled internationally ?
There will be even more rules, laws, regulations and organisations to answer to if you start managing data unethically.
You should have established teams or departments to ensure you follow proper privacy and data protocols worldwide. When you have a large organisation, you have more money and vast amounts of data. This makes you a bigger target for leaks, ransomware and hackers.
You should ensure you have cross-departmental groups working to establish ongoing protocols and training to keep your data management in good standing.
Leverage data ethically with Matomo
Data is powerful.
It’s a crucial point of leverage that’s required to stay competitive.
However, improper use and management of data can give you a bad reputation, break trust and even cause you legal trouble.
That’s why you must maintain good data ethics within your organisation.
One of the most important places to set up proper data ethics and privacy measures is with your website analytics.
Matomo is the leading, privacy-friendly web analytics solution in the world. It automatically collects, stores, and tracks data across your website ethically.
With over 1 million websites using Matomo, you get to take full control over your website performance with :
- Accurate data (no data sampling)
- Privacy-friendly and GDPR-compliant analytics
- Open-source for transparency and to create a custom solution for you
Try Matomo free for 21-days. No credit card required.
Try Matomo for Free
21 day free trial. No credit card required.
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What Is Incrementality & Why Is It Important in Marketing ?
26 mars 2024, par ErinImagine this : you just launched your latest campaign and it was a major success.
You blew last month’s results out of the water.
You combined a variety of tactics, channels and ad creatives to make it work.
Now, it’s time to build the next campaign.
The only issue ?
You don’t know what made it successful or how much your recent efforts impacted the results.
You’ve been building your brand for years. You’ve built up a variety of marketing pillars that are working for you. So, how do you know how much of your campaign is from years of effort or a new tactic you just implemented ?
The key is incrementality.
This is a way to properly attribute the right weight to your marketing tactics.
In this article, we break down what incrementality is in marketing, how it differs from traditional attribution and how you can calculate and track it to grow your business.
What is incrementality in marketing ?
Incrementality in marketing is growth that can be directly credited to a marketing effort above and beyond the success of the branding.
It looks at how much a specific tactic positively impacted a campaign on top of overall branding and marketing strategies.
For example, this could be how much a specific tactic, campaign or channel helped increase conversions, email sign-ups or organic traffic.
The primary purpose of incrementally in marketing is to more accurately determine the impact a single marketing variable had on the success of a project.
It removes every other factor and isolates the specific method to help marketers double down on that strategy or move on to new tactics.
With Matomo, you can track conversions simply. With our last non-direct channel attribution system, you’ll be able to quickly see what channels are converting (and which aren’t) so you can gain insights into incrementality.
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Get the web insights you need, without compromising data accuracy.
How incrementality differs from attribution
In marketing and advertising, it’s crucial to understand what tactics and activities drive growth.
Incrementality and attribution help marketers and business owners understand what efforts impact their results.
But they’re not the same.
Here’s how they differ :
Incrementality explained
Incrementality measures how much a specific marketing campaign or activity drives additional sales or growth.
Simply put, it’s analysing the difference between having never implemented the campaign (or tactic or channel) in the first place versus the impact of the activity.
In other words, how much revenue would you have generated this month without campaign A ?
And how much additional revenue did you generate directly due to campaign A ?
The reality is that dozens of factors impact revenue and growth.
You aren’t just pouring your marketing into one specific channel or campaign at a time.
Chances are, you’ve got your hands on several marketing initiatives like SEO, PPC, organic social media, paid search, email marketing and more.
Beyond that, you’ve built a brand with a not-so-tangible impact on your recurring revenue.
So, the question is, if you took away your new campaign, would you still be generating the same amount of revenue ?
And, if you add in that campaign, how much additional revenue and growth did it directly create ?
That is incrementality. It’s how much a campaign went above and beyond to add new revenue that wouldn’t have been there otherwise.
So, how does attribution play into all of this ?
Attribution explained
Attribution is simply the process of assigning credit for a conversion to a particular marketing touchpoint.
While incrementality is about narrowing down the overall revenue impact from a particular campaign, attribution seeks to point to a specific channel to attribute a sale.
For example, in any given marketing campaign, you have a few marketing tactics.
Let’s say you’re launching a limited-time product.
You might have :
- Paid ads via Facebook and Instagram
- A blog post sharing how the product works
- Organic social media posts on Instagram and TikTok
- Email waitlist campaign building excitement around the upcoming product
- SMS campaigns to share a limited-time discount
So, when the time comes for the sale launch, and you generate $30,000 in revenue, what channel gets the credit ?
Do you give credit to the paid ads on Facebook ? What about Instagram ? They got people to follow you and got them on the email waitlist.
Do you give credit to email for reminding people of the upcoming sale ? What about your social media posts that reminded people there ?
Or do you credit your SMS campaign that shared a limited-time discount ?
Which channel is responsible for the sale ?
This is what attribution is all about.
It’s about giving credit where credit is due.
The reason you want to attribute credit ? So you know what’s working and can double down your efforts on the high-impact marketing activities and channels.
Leveraging incrementality and attribution together
Incrementality and attribution aren’t competing methods of analysing what’s working.
They’re complementary to one another and go hand in hand.
You can (and should) use attribution and incrementality in your marketing to help understand what activities, campaigns and channels are making the biggest incremental impact on your business growth.
Why it’s important to measure incrementality
Incrementality is crucial to measure if you want to pour your time, money and effort into the right marketing channels and tactics.
Here are a few reasons why you need to measure incrementality if you want to be successful with your marketing and grow your business :
1. Accurate data
If you want to be an effective marketer, you need to be accurate.
You can’t blindly start marketing campaigns in hopes that you will sell many products or services.
That’s not how it works.
Sure, you’ll probably make some sales here and there. But to truly be effective with your work, you must measure your activities and channels correctly.
Incrementality helps you see how each channel, tactic or campaign made a difference in your marketing.
Matomo gives you 100% accurate data on your website activities. Unlike Google Analytics, we don’t use data sampling which limits how much data is analysed.
2. Helps you to best determine the right tactics for success
How can you plan your marketing strategy if you don’t know what’s working ?
Think about it.
You’ll be blindly sailing the seas without a compass telling you where to go.
Measuring incrementality in your marketing tactics and channels helps you understand the best tactics.
It shows you what’s moving the needle (and what’s not).
Once you can see the most impactful tactics and channels, you can forge future campaigns that you know will work.
3. Allows you to get the most out of your marketing budget
Since incrementality sheds light on what’s moving your business forward, you can confidently implement your efforts on the right tactics and channels.
Guess what happens when you start doubling down on the most impactful activities ?
You start increasing revenue, decreasing ad spend and getting a higher return on investment.
The result is that you will get more out of your marketing budget.
Not only will you boost revenue, but you’ll also be able to boost profit margins since you’re not wasting money on ineffective tactics.
4. Increase traffic
When you see what’s truly working in your business, you can figure out what channels and tactics you should be working.
Incrementality helps you understand not only what your best revenue tactics are but also what channels and campaigns are bringing in the most traffic.
When you can increase traffic, you can increase your overall marketing impact.
5. Increase revenue
Finally, with increased traffic, the inevitable result is more conversions.
More conversions mean more revenue.
Incrementality gives you a vision of the tactics and channels that are converting the best.
If you can see that your SMS campaigns are driving the best ROI, then you know that you’ll grow your revenue by pouring more into acquiring SMS leads.
By calculating incrementality regularly, you can rest assured that you’re only investing time and money into the most impactful activities in terms of revenue generation.
How to calculate and test incrementality in marketing
Now that you understand how incrementality works and why it’s important to calculate, the question is :
How do you calculate and conduct incrementality tests ?
Given the ever-changing marketing landscape, it’s crucial to understand how to calculate and test incrementally in your business.
If you’re not sure how incrementality testing works, then follow these simple steps :
Your first step to get an incrementality measurement is to conduct what’s referred to as a “holdout test.”
It’s not a robust test, but it’s an easy way to get the ball rolling with incrementality.
Here’s how it works :
- Choose your target audience.
With Matomo’s segmentation feature, you can get pretty specific with your target audience, such as :
- Visitors from the UK
- Returning visitors
- Mobile users
- Visitors who clicked on a specific ad
- Split your audience into two groups :
- Control group (60% of the segment)
- Test group (40% of the segment)
- Target the control group with your marketing tactic (the simpler the tactic, the better).
- Target the test group with a different marketing tactic.
- Analyse the results. The difference between the control and test groups is the incremental lift in results. The new marketing tactic is either more effective or not.
- Repeat the test with a new control group (with an updated tactic) and a new test group (with a new tactic).
Matomo can help you analyse the results of your campaigns in our Goals feature. Set up business objectives so you can easily track different goals like conversions.
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Here’s an example of how this incrementality testing could look in real life.
Imagine a fitness retailer wants to start showing Facebook ads in their marketing mix.
The marketing manager decided to conduct a holdout test. If we match our example below with the steps above, this is how the holdout test might look.
- They choose people who’ve purchased free weights in the past as their target audience (see how that segmentation works ?).
- They split this segment into a control group and a test group.
- For this test, they direct their regular marketing campaign to the control group (60% of the segment). The campaign includes promoting a 20% off sale on organic social media posts, email marketing, and SMS.
- They direct their regular marketing campaign plus Facebook ads to the test group (40% of the segment).
- They ran the campaign for three weeks with the goal for sale conversions and noticed :
- The control group had a 1.5% conversion rate.
- The test group (with Facebook ads) had a 2.1% conversion rate.
- In this scenario, they could see the group who saw the Facebook ads convert better.
- They created the following formula to measure the incremental lift of the Facebook ads :
- Here’s how the calculation works out : (2.1% – 1.5%) / 1.5% = 40%
The Facebook ads had a positive 40% incremental lift in conversions during the sale.
Incrementality testing isn’t a one-and-done process, though.
While this first test is a great sign for the marketing manager, it doesn’t mean they should immediately throw all their money into Facebook ads.
They should continue conducting tests to verify the initial test.
Use Matomo to track incrementality today
Incrementality can give you insights into exactly what’s working in your marketing (and what’s not) so you can design proven strategies to grow your business.
If you want more help tracking your marketing efforts, try Matomo today.
Our web analytics and behaviour analytics platform gives you firsthand data on your website visitors you can use to craft effective marketing strategies.
Matomo provides 100% accurate data. Unlike other major web analytics platforms, we don’t do data sampling. What you see is what’s really going on in your website. That way, you can make more informed decisions for better results.
At Matomo, we take privacy very seriously and include several advanced privacy protections to ensure you are in full control.
As a fully compliant web analytics solution, we’re fully compliant with some of the world’s strictest privacy regulations like GDPR. With Matomo, you get peace of mind knowing you can make data-driven decisions while also being compliant.
If you’re ready to launch a data-driven marketing strategy today and grow your business, get started with our 21-day free trial now. No credit card required.
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21 day free trial. No credit card required.
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How to Conduct a Customer Journey Analysis (Step-by-Step)
9 mai 2024, par ErinYour customers are everything.
Treat them right, and you can generate recurring revenue for years. Treat them wrong ; you’ll be spinning your wheels and dealing with churn.
How do you give your customers the best experience possible so they want to stick around ?
Improve their customer experience.
How ?
By conducting a customer journey analysis.
When you know how your customers experience your business, you can improve it to meet and exceed customer expectations.
In this guide, we’ll break down how the customer journey works and give you a step-by-step guide to conduct a thorough customer journey analysis so you can grow your brand.
What is a customer journey analysis ?
Every customer you’ve ever served went on a journey to find you.
From the moment they first heard of you, to the point that they became a customer.
Everything in between is the customer journey.
A customer journey analysis is how you track and analyse how your customers use different channels to interact with your brand.
Analysing your customer journey involves identifying the customer’s different touchpoints with your business so you can understand how it impacts their experience.
This means looking at every moment they interacted with your brand before, during and after a sale to help you gain actionable insights into their experience and improve it to reach your business objectives.
Your customers go through specific customer touchpoints you can track. By analysing this customer journey from a bird’s eye view, you can get a clear picture of the entire customer experience.
4 benefits of customer journey analysis
Before we dive into the different steps involved in a customer journey analysis, let’s talk about why it’s vital to analyse the customer journey.
By regularly analysing your customer journey, you’ll be able to improve the entire customer experience with practical insights, allowing you to :
Understand your customers better
What’s one key trait all successful businesses have ?
They understand their customers.
By analysing your customer journey regularly, you’ll gain new insights into their wants, needs, desires and behaviours, allowing you to serve them better. These insights will show you what led them to buy a product (or not).
For example, through conducting a customer journey analysis, a company might find out that customers who come from LinkedIn are more likely to buy than those coming from Facebook.
Find flaws in your customer journey
Nobody wants to hear they have flaws. But the reality is your customer journey likely has a few flaws you could improve.
By conducting customer journey analysis consistently, you’ll be able to pinpoint precisely where you’re losing prospects along the way.
For example, you may discover you’re losing customers through Facebook Ads. Or you may find your email strategy isn’t as good as it used to be.
But it’s not just about the channel. It could be a transition between two channels. For example, you may have great engagement on Instagram but are not converting them into email subscribers. The issue may be that your transition between the two channels has a leak.
Or you may find that prospects using certain devices (i.e., mobile, tablet, desktop) have lower conversions. This might be due to design and formatting issues across different devices.
By looking closely at your customer journey and the different customer touchpoints, you’ll see issues preventing prospects from turning into leads or customers from returning to buy again as loyal customers.
Gain insights into how you can improve your brand
Your customer journey analysis won’t leave you with a list of problems. Instead, you’ll have a list of opportunities.
Since you’ll be able to better understand your customers and where they’re falling off the sales funnel, you’ll have new insights into how you can improve the experience and grow your brand.
For example, maybe you notice that your visitors are getting stuck at one stage of the customer journey and you’re trying to find out why.
So, you leverage Matomo’s heatmaps, sessions recordings and scroll depth to find out more.
In the case below, we can see that Matomo’s scroll map is showing that only 65% of the visitors are reaching the main call to action (to write a review).
To try to push for higher conversions and get more reviews, we could consider moving that button higher up on the page, ideally above the fold.
Rather than guessing what’s preventing conversions, you can use user behaviour analytics to “step in our user’s shoes” so you can optimise faster and with confidence.
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Get the web insights you need, without compromising data accuracy.
Grow your revenue
By taking charge of your customer journey, you can implement different strategies that will help you increase your reach, gain more prospects, convert more prospects into customers and turn regulars into loyal customers.
Using customer journey analysis will help you optimise those different touchpoints to maximise the ROI of your channels and get the most out of each marketing activity you implement.
7 steps to conduct a customer journey analysis
Now that you know the importance of conducting a customer journey analysis regularly, let’s dive into how to implement an analysis.
Here are the seven steps you can take to analyse the customer journey to improve your customer experience :
1. Map out your customer journey
Your first step to conducting an effective customer journey analysis is to map your entire customer journey.
Customer journey mapping means looking at several factors :
- Buying process
- Customer actions
- Buying emotions
- Buying pain points
- Solutions
Once you have an overview of your customer journey maps, you’ll gain insights into your customers, their interests and how they interact with your brand.
After this, it’s time to dive into the touchpoints.
2. Identify all the customer touchpoints
To improve your customer journey, you need to know every touchpoint a customer can (and does) make with your brand.
This means taking note of every single channel and medium they use to communicate with your brand :
- Website
- Social media
- Search engines (SEO)
- Email marketing
- Paid advertising
- And more
Essentially, anywhere you communicate and interact with your customers is fair game to analyse.
If you want to analyse your entire sales funnel, you can try Matomo, a privacy-friendly web analytics tool.
You should make sure to split up your touchpoints into different customer journey stages :
- Awareness
- Consideration
- Conversion
- Advocacy
Then, it’s time to move on to how customers interact on these channels.
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Get the web insights you need, without compromising data accuracy.
3. Measure how customers interact on each channel
To understand the customer journey, you can’t just know where your customers interact with you. You end up learning how they’re interacting.
This is only possible by measuring customer interactions.
How ?
By using a web analytics tool like Matomo.
With Matomo, you can track every customer action on your website.
This means anytime they :
- Visit your website
- View a web page
- Click a link
- Fill out a form
- Purchase a product
- View different media
- And more
You should analyse your engagement on your website, apps and other channels, like email and social media.
4. Implement marketing attribution
Now that you know where your customers are and how they interact, it’s time to analyse the effectiveness of each channel based on your conversion rates.
Implementing marketing attribution (or multi-touch attribution) is a great way to do this.
Attribution is how you determine which channels led to a conversion.
While single-touch attribution models credit one channel for a conversion, marketing attribution gives credit to a few channels.
For example, let’s say Bob is looking for a new bank. He sees an Instagram post and finds himself on HSBC’s website. After looking at a few web pages, he attends a webinar hosted by HSBC on financial planning and investment strategies. One week later, he gets an email from HSBC following up on the webinar. Then, he decides to sign up for HSBC’s online banking.
Single touch attribution would attribute 100% of the conversion to email, which doesn’t show the whole picture. Marketing attribution would credit all channels : social media, website content, webinars and email.
Matomo offers multiple attribution models. These models leverage different weighting factors, like time decay or linear, so that you can allocate credit to each touchpoint based on its impact.
Matomo’s multi-touch attribution reports give you in-depth insights into how revenue is distributed across different channels. These detailed reports help you analyse each channel’s contribution to revenue generation so you can optimise the customer journey and improve business outcomes.
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5. Use a funnels report to find where visitors are leaving
Once you set up your marketing attribution, it’s time to analyse where visitors are falling off.
You can leverage Matomo funnels to find out the conversion rate at each step of the journey on your website. Funnel reports can help you see exactly where visitors are falling through the cracks so you can increase conversions.
6. Analyse why visitors aren’t converting
Once you can see where visitors are leaving, you can start to understand why.
For example, let’s say you analyse your funnels report in Matomo and see your landing page is experiencing the highest level of drop-offs.
You can also use form analytics to find out why users aren’t converting on your landing pages – a crucial part of the customer journey.
7. A/B test to improve the customer journey
The final step to improve your customer journey is to conduct A/B tests. These are tests where you test one version of a landing page to see which one converts better, drives more traffic, or generates more revenue.
For example, you could create two versions of a header on your website and drive 50% of your traffic to each version. Then, once you’ve got your winner, you can keep that as your new landing page.
Using the data from your A/B tests, you can optimise your customer journey to help convert more prospects into customers.
Use Matomo to improve your customer journey analysis
Now that you understand why it’s important to conduct customer journey analysis regularly and how it works, it’s time to put this into practice.
To improve the customer journey, you need to understand what’s happening at each stage of your funnel.
Matomo gives you insights into your customer journey so you can improve website performance and convert more visitors into customers.
Used by over 1 million websites, Matomo is the leading privacy-friendly web analytics solution in the world.
Matomo provides you with accurate, unsampled data so you understand exactly what’s going on with your website performance.
The best part ?
It’s easy to use and is compliant with the strictest privacy regulations.
Try Matomo free for 21-days and start Improving your customer journey. No credit card required.
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21 day free trial. No credit card required.