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• The Ultimate List of Alternatives to Google Products

  2 août 2022, par Erin — Privacy

  For many businesses, Google products can play an integral part in the productivity, function and even success of the company. This is because Google has designed their digital ecosystem to infiltrate every aspect of your work and personal life at low-to-no cost.

  On the surface, this seems like a no-brainer. Why not have a cost-effective and seamlessly connected tech stack ? It’s the complete package. 

  From Gmail to Google Analytics, it becomes hard to untangle yourself from this intricate web Google has managed to spin. But like a web, you know there’s also a catch.

  This leads us to the big question… Why stop ?

  In this blog, we’ll cover :

  Why de-Google ?

  Google products are convenient and seemingly free. However, in recent years, Google’s name has become synonymous with privacy breaches, data leaks and illegal under the General Data Protection Regulation (GDPR).

  As their track record shows a glaring disregard for data protection, a growing list of EU member countries like Austria, France, Denmark and Italy have banned Google products, such as Google Analytics, Google Workspace and Google Chromebook.

  Google offers free products and services, but not out of altruism. There’s a trade-off. By using Google’s “free” products, your customers’ and your own online activity becomes a commodity that can be sold to advertisers.

  When the risks of using Google products are considered, it becomes clear the need to plot a pathway to de-Google your business. If you’re wondering how in the world to uncoil from this web, fortunately, there are plenty of privacy-friendly, secure alternatives to Google products that you can choose.

  Disclaimer : Below, we’ve tried our best to provide a comprehensive list of alternatives to Google products for businesses, but because you know your business best, we’d also encourage you to do your own research to ensure the tool will suit your unique needs.

  Best Google alternative tools for business

  Overall business tools

  Google Workspace alternatives

  Google Workspace isn’t GDPR compliant by default, so businesses are at risk of fines and reputational damage. More EU countries are reaching the same conclusion that Google products are violating EU law. Data Protection Authorities from Norway and Denmark have deemed Google Workspace illegal in accordance with the GDPR. 

  Nextcloud

  Nextcloud is an open-source and self-hosted productivity platform that offers a suite of services to replace the major features found in Google Workspace, such as Google Drive, Calendar, Docs, Forms and Tasks. 

  You can share files and collaborate without worrying about data being shared with unauthorised individuals or companies. As a self-hosted suite, you’re in full control of where your data is, who has access to it and can comply with the strictest of data protection legislations.

  

  Zoho

  Zoho is a Google Workspace alternative built on the same principles as Google’s productivity suite. It offers a suite of online office tools, including email, calendar and task management, but with an emphasis on privacy protection. Zoho doesn’t rely on advertising revenue to support their business which means your personal data will never be sold or used for targeted ads. 

  With over 75 million users globally, Zoho offers data encryption at rest and at transit, multi-factor authentication and complies with strict security standards set by HIPAA, the Cloud Security Alliance and the GDPR.

  

  Gmail alternatives

  Google only encrypts emails via STARTTLS. In other words, your data isn’t end-to-end encrypted and can be decrypted by them at any time. Gmail also has a history of allowing third-party app developers that work with Gmail to access private and personal Gmail messages for their own market research purposes.

  ProtonMail

  ProtonMail is a secure, open-source email service that provides end-to-end encryption, so only the sender and receiver can access the messages. Proton deliberately doesn’t possess the key needed to decrypt any part of the message, so you know your sensitive business information is always private. 

  To protect users from digital surveillance, they also provide enhanced tracking protections and don’t rely on ads, so your data isn’t mined for advertising purposes. Not only that, you can also sync ProtonMail with a host of other Google alternative products, such as Proton Calendar and Proton Drive.

  

  Mailfence

  Mailfence is a highly secure communications and planning platform that offers a complete email suite, as well as, Documents, a Calendar and Groups. It provides end-to-end encryption and comes with a built-in data loss prevention system that prevents unauthorised access to your sensitive information. 

  Mailfence is completely ad-free and promises to never commercialise its databases or share data with third parties for targeted ads.

  

  Tutanota

  Tutanota is an open-source email service known as one of the first to offer end-to-end encryption. It boasts a user-friendly interface and offers a fast, simple and secure email service that works on web and mobile platforms. Stringent security, in addition to TOTP and U2F for two-factor authentication means you control who has access to your email and messages. 

  It requires no phone number or personal information to register for a free account. In addition, Tutanota doesn’t earn money through ads, its servers are based in Europe and it is fully GDPR compliant.

  

  Google Calendar alternatives

  Calendars can contain a lot of personal information (who you are meeting, location, contact info, etc.), which is well worth keeping private. 

  Proton Calendar

  With Proton Calendar all event details – participants, locations, event names, descriptions and notes are end-to-end encrypted. It has a clean and easy-to-use interface, and you get a full set of advanced features to replace Google Calendar, such as the ability to create events and reminders, add multiple calendars and set up repeating events. You can easily sync all your calendars between mobile and desktop apps.

  

  Mailfence Calendar

  Mailfence Calendar lets you manage, schedule and track your events and meetings. Similar to Google Calendar, you can invite people to events using their Mailfence email IDs, but it doesn’t track your location or email address.

  

  Tutanota Calendar

  Tutanota Calendar offers built-in encryption, so no one else can decrypt and read your information.

  You can keep track of your appointments and meetings in a secure environment that only you have access to. You get features, such as day/week/month view, all-day events, recurring events, upcoming events view and shared calendars. You can also sync it with other apps such as Outlook.

  

  Nextcloud Calendar app

  Nextcloud also offers a Calendar app which easily syncs events from different devices with your Nextcloud account. You can integrate it with other Nextcloud apps like Contacts, Talk and Tasks.

  

  Google Drive alternatives

  The GDPR emphasises end-to-end encryption as a safeguard against data leaks, but Google Drive isn’t end-to-end encrypted, so Google has access to the data on its servers. 

  In their privacy policy, they also state that this data can be analysed for advertising purposes, so although you’re using “free” Cloud storage, users need to be aware that they’re paying for this by giving Google access to any and all data stored in Google Drive.

  Proton Drive

  Proton Drive is a secure and private Cloud storage service that provides you with an easy-to-use, customisable and secure file management system.

  It uses end-to-end encryption to secure your data and keep it safe from prying eyes. As you have full control over your data, you can decide how long it’s stored and who has access to it. You can also choose how much of your information is shared with other users.

  

  Nextcloud

  Nextcloud works on your own server, so you can access and share your data wherever you are. It’s a file hosting service that lets you store files, sync them across your devices and collaborate with others on projects. 

  It also provides encryption for all the files that you store on its servers, so you can rest assured that no one can see your information without your permission.

  

  Syncthing

  Syncthing is a free, open-source file synchronisation program that allows you to store and access your files wherever you are. It’s designed to be fast, secure and easy to use, making it a great alternative to Google Drive. 

  With Syncthing, you can sync files across multiple computers and mobile devices at once. So if you create, delete or modify files on one machine, they will automatically be replicated on other devices. Data is saved directly to a location you choose, so you can securely backup your data without needing a third-party cloud service.

  Google Docs alternatives

  Google states they can “collect information” from Google-hosted content such as Docs by means of automated scanning. 

  Not only does this stoke spying fears, it also raises concerns over who holds power over your content. If they look through your docs and decide that you’ve violated their terms of service, you can get locked out of your Google Docs – as was the case when a National Geographic crime reporter had her story “frozen” by Google.

  LibreOffice

  LibreOffice is a free, open-source office suite with all the features you need to create and edit documents, presentations and spreadsheets. It’s compatible with many different languages and all Microsoft Office file formats. 

  Unlike Google Docs, LibreOffice doesn’t store your documents on the Cloud. As it runs on your own computer, you maintain complete control and the data is kept as private and as secure as you wish. LibreOffice also has an online version that works with most web browsers and can be used on Windows, Mac and Linux operating systems. 

  The open-source nature ensures security as the code is constantly improved and scouted for vulnerabilities.

  

  Nextcloud Office

  Like Google Docs, Nextcloud Office lets you create new documents and spreadsheets and collaborate with teammates or colleagues. But unlike Google Docs, Nextcloud doesn’t collect any data on who is using its platform, or what they’re doing on it. You can even encrypt the files you store in Nextcloud, so no one else can see them unless you give them access to your account.

  

  Google Keep alternative

  Standard Notes

  Standard Notes is an open-source online notebook app that offers a variety of useful features, such as tasks, to-dos and spreadsheets. 

  Unlike Google Keep, which has access to your notes, Standard Notes is end-to-end encrypted, which protects all your information and keeps it securely synced across all your devices. Standard Notes supports text, images and audio notes. As open-source software, they value transparency and trust and don’t rely on tracking or intrusive ads.

  

  Google Chrome alternatives

  Google Chrome is notorious for stalking users and collecting information for their own gains. Their browser fuels their data gathering infrastructure by being able to collect info about your search history, location, personal data and product interaction data for “personalisation” purposes – essentially to build a profile of you to sell to advertisers.

  Firefox

  Firefox is one of the most secure browsers for privacy and is trusted by 220 million users. It easily compares with Chrome in terms of ease of use and performance. 

  On top of that it offers enhanced privacy protections, so you get a browser that doesn’t stalk you and isn’t riddled with ads.

  

• Incrementality Testing : Quick-Start Guide (With Calculations)

  26 mars 2024, par Erin

  How do you know when a campaign is successful ? When you earn more revenue than last month ?

  Maybe.

  But how do you know how much of an impact a certain campaign or channel had on your sales ?

  With marketing attribution, you can determine credit for each sale.

  But if you want a deeper look, you need to understand the incremental impact of each channel and campaign.

  The way you do this ?

  Incrementality testing.

  In this guide, we break down what incrementality is, why it’s important and how to test it so you can double down on the activities driving the most growth.

  What is incrementality ?

  So, what exactly is incrementality ?

  Let’s say you just ran a marketing campaign for a new product. The launch was a success. Breakthrough numbers in your revenue. You used a variety of channels and activities to bring it all together.

  So, you launch a plan for next month’s campaign. But you don’t truly know what moved the needle.

  Did you just hit new highs because your audience is bigger ? And your brand is greater ?

  Or did the recent moves you made make a direct difference ?

  This is incrementality.

  

  Incrementality is growth directly attributed to marketing efforts beyond the overall impact of your brand. By measuring and conducting incrementality testing, you can clearly see how much of a difference each activity or channel truly impacted business growth. 

  What is incrementality testing ?

  Incrementality testing allows marketers to gauge the effectiveness of a marketing tactic or strategy. It tells you if a particular marketing activity had a positive, negative or neutral impact on your business. 

  It also tells you the overall impact it can have on your key performance indicators (KPIs). 

  The result ?

  You can pinpoint the highest-performing moves and incorporate them into your marketing workflows. You also discard marketing strategies with negligible, neutral or even negative impacts. 

  For example, let’s say you think a B2B LinkedIn ads campaign will help you reach your product launch goals. An incrementality test can tell you if the introduction of this campaign will help you get to the desired outcome.

  How incrementality testing works

  Before diving into your testing phase, you must clearly identify your KPIs.

  Here are the top KPIs you should be tracking on your website :

  • Ad impressions
  • Website visits
  • Leads
  • Sales

  The exact KPIs will depend on your marketing goals. You’re ready to move forward once you know your key performance indicators.

  Here’s how incrementality testing works step-by-step :

  1. Define a test and control group

  The first step is to define a test group and control group. 

  • A test group is a segment of your target audience that’s exposed to the marketing campaign. 
  • A control group is a segment that isn’t. 

  Keep in mind that both groups have similar demographics and other relevant characteristics. 

  2. Execute your campaign

  The second step is to run the marketing campaign on the test group. This can be a Facebook ad, LinkedIn ad or email marketing campaign.

  It all depends on your goals and your primary channels.

  3. Measure outcomes

  The third step is to measure the campaign’s impact based on your KPIs. 

  Let’s say a brand wants to see if a certain marketing move increases its leads. The test can tell them the number of email sign-ups with and without the campaign. 

  4. Compare results

  Next, compare the test group results with the control group. The difference in outcomes tells you the impact of that campaign. You can then use this difference to inform your future marketing strategies. 

  With Matomo, you can easily track results from campaigns — like conversions. 

  Our platform lets you quickly see what channels are getting the best results so you can gain insights into incrementality and optimise your strategy.

  Try Matomo for Free

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  Why it’s important to conduct incrementality tests

  The digital marketing industry is constantly changing. Marketers need to stay on their toes to keep up. Incrementality tests help you stay on track.

  For example, let’s say you’re selling laptops. You can increase your warranty period to three years to see the impact on sales. An incrementality test will tell you if this move will boost your sales (and by how much).

  Now, let’s dive into the reasons why you need to consistently conduct incrementality tests :

  Determine the right tactics for success

  Identifying the best action to grow your business is a challenge every marketer faces.

  The best way to identify marketing tactics is by conducting incrementality testing. These tactics are bound to work since data back them. As a result, you can optimise your marketing budget and maximise your ROIs. 

  It lets you run multiple tests to identify the most impactful strategy between :

  • An email marketing strategy
  • A social media strategy 
  • A PPC ad

  For instance, an incrementality test might suggest email marketing will be more cost-effective than an ad campaign. What you can do is :

  • Expose the test group to the email marketing campaign and then compare the results with the control group
  • Expose the test group to the ad campaign and then compare its results with the control group

  Then, you can calculate the difference in results between the two marketing campaigns. This lets you focus on the strategy with a better ROI or ROAS potential. 

  Accurate data

  Marketing data is powerful. But getting accurate data can be challenging. With incrementality testing, you get to know the true impact of a marketing campaign. 

  Plus, with this testing strategy, you don’t have to waste your marketing budget. 

  With Matomo, you get 100% accurate data on all website activities. 

  Unlike Google Analytics, Matomo doesn’t rely on inaccurate data sampling — limiting the amount of data analysed.

  Try Matomo for Free

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

  Start for free

  No credit card required

  Get the most out of your marketing investment

  Every business owner wants to maximise their return on investment. The ROI you get mainly depends on the marketing strategy. 

  For instance, email marketing offers an ROI of about 40:1 with some sources even reporting as high as 72:1.

  Incrementality testing helps you make informed investment decisions. With it, you can pinpoint the tactics that are most likely to bring the highest return. You can then focus your resources on them. It also helps you stay away from low-performing strategies. 

  Increase revenue

  It’s safe to say that the goal behind every marketing effort is a revenue boost. The higher your revenue, the more profits you generate. However, for many marketers, it’s an uphill battle. 

  With incrementality testing, you can boost your revenue by focusing your efforts in the right direction. 

  Get more traffic

  Incrementality testing tells you if a particular strategy can help you drive more traffic. You can use it to get more high-quality leads to your website or landing pages and double down on high-traffic strategies to increase those leads.

  How to test incrementality

  

  Developing an implementation plan is crucial to generate accurate insights from an incrementality test. Incrementality testing is like running a science experience. You need to go through several stages. Each stage is important for generating accurate results. 

  Here’s how you test incrementality :

  Define your goals

  Get clarity on what you want to achieve with this campaign. Which KPIs do you want to test ? Is it the return on your overall investment (ROI), return on ad spend (ROAS) or something else ?

  Segment your audience

  Selecting the right audience segment is crucial to getting accurate insights with an incrementality test. Decide the demographics and psychographics of the audience you want to target. Then, divide this audience segment into two sub-parts :

  • Test group (people you’ll expose to the marketing campaign)
  • Control group (people who won’t be exposed to the campaign)

  These groups are a part of the larger segment. This means people in both groups will have similar attributes. 

  Launch the test at the right time

  Before the launch, decide on the length of the test. Ideally, it should be at least one week. Don’t run any other campaigns in this window, as it can interfere with the results. 

  Analyse the data and take action

  Once the campaign is over, measure the results from both groups. Compare the data to identify incremental lift in your selected KPIs. 

  Let’s say you want to see if this campaign can boost your sales. Check to see if the test group responded differently than the control group. If the sales equal your desired outcome, you have a winning strategy. 

  Not all incrementality tests result in a positive incremental lift ; Some can be neutral, indicating that the campaign didn’t have any effect. Some can even indicate a negative lift, which means your core group performed better than the test group. 

  Lastly, take action based on the test findings. 

  Incrementality test examples 

  You can use incrementality testing to identify gaps and growth opportunities in your strategy. 

  Here’s an example :

  Let’s say a company runs an incrementality test on a YouTube marketing strategy for sales. The results indicate that the ROI was only $0.10, as the company makes $1.10 for every $1.00 spent. This alarms the marketing department and helps them optimise the campaign for a higher ROI. 

  Here’s another practical example :

  Let’s say a retail business wanted to test the effectiveness of its ad campaign. So, the retailer optimises its ad campaign after conducting an incrementality test on a test and control group. As a result, they experienced a 34% incremental increase in sales.

  How to calculate incrementality in marketing

  Once you’ve aggregated the data, it’s time to calculate. There are two ways to calculate incrementality :

  Incremental profit 

  The first one is incremental profit. It tells you how much profit you can generate with a strategy (If any). With it, you get the actual value of a marketing campaign. 

  It’s calculated with the following formula :

  Test group profit – control group profit = incremental profit 

  For example, let’s say you’re exposing a test group to a paid ads campaign. And it generates a profit of $3,000. On the other hand, the control group generated a $2,000 profit. 

  In this case, your incremental profit will be $1,000 ($3,000 – $2,000). 

  However, if the paid ads campaign generates a $2,000 profit, the incremental profit would be zero. Essentially, you’re generating the same profit as before, which means the campaign doesn’t work. Similarly, a marketing strategy is no good if it generates lower profits than the control group. 

  Incremental lift

  Incremental lift measures the difference in the conversions you generate with each group. 

  Here’s the formula :

  (Test – Control)/Control x 100 = Lift

  So, let’s say the test group and control group generated 2,000 and 1,000 conversions, respectively. 

  The incremental lift you’ll get from this incrementality test would be :

  (2,000 – 1,000)/1,000 x 100 = 100

  This turns out to be a 100% incremental lift.

  How to track incrementality with Matomo

  Incrementality testing lets you use a practical approach to identify the best marketing path for your business.

  It helps you develop a hyper-focused approach that gives you access to accurate and practical data. 

  With these insights, you can confidently move forward to maximise your ROI since it helps you focus on high-performing tactics. 

  The result is more revenue and profit for your business. 

  Plus, all you need to do is identify your target audience, divide them into two groups and run your test. Then, the results will be compared to determine if the marketing strategy offers any value. 

  Conducting incrementality tests may take time and expertise. 

  But, thanks to Matomo, you can leverage accurate insights for your incrementality tests to ensure you make the right decisions to grow your business.

  See for yourself why over 1 million websites choose Matomo. Try it free for 21-days now. No credit card required.

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• Benefits and Shortcomings of Multi-Touch Attribution

  13 mars 2023, par Erin — Analytics Tips

  Few 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.

  

  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. 

  

  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.

  

  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.