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  • The Only 7 Lead Generation Tools You Need in 2024

    7 mars 2024, par Erin

    If you can’t get leads, you can’t get customers. To ensure you always have a steady stream of new customers (and revenue), you need to equip yourself with lead generation tools.

    Lead gen software does the heavy lifting for you so you can focus on providing great products and great services. With it, you’ll be able to turn more strangers into customers and grow your business.

    And you don’t need a ton of tools to get the job done, either. Consolidating your tech stack to a few select tools will help you get more done in less time (and with less confusion).

    In this article, we’ll analyse the top seven lead generation tools to help you grow your business in 2024.

    Let’s dive in.

    What is a lead generation tool ?

    A lead generation tool is software you can use to turn strangers into customers. It helps you draw customers into your sales funnel by learning their contact details, like their email address or phone number.

    What is a lead generation tool?

    Lead generation tools are great levers you can pull to drive high-quality leads. They remove the grunt work by automating the lead generation process. 

    Whether it’s through creating lead magnets, offering conversion rate analytics, helping you create high-quality forms or automating the lead follow-up process, lead generation tools can bring in new customers to grow your business.

    The top 7 lead generation tools in 2024

    To land more leads, you need to ensure you’re leveraging the right software. With so many to choose from, here’s just a handful of the best ones available :

    7 best lead generation tools

    1. Matomo : Best conversion optimisation tool

    Matomo is an open-source website analytics tool dedicated to protecting user privacy and data. Trusted on over 1 million websites, the platform offers in-depth insights into your web traffic, including conversion data.

    Matomo dashboard

    Why Matomo ? Matomo is trusted by over 1 million websites, including the United Nations and the European Commission, making it the leading choice for privacy-focused web analytics.

    It comes equipped with a suite of conversion optimisation features to help you generate more leads. You can easily analyse your target audience’s behaviour while also respecting users’ privacy.

    Standout features : In-depth visitor tracking, From Analytics, Session Recordings, A/B Testing, Heatmaps Marketing Attribution, roll-up reporting (pulling data from multiple sites), Google Analytics importing. and more.

    Integrations : Cloudflare, WooCommerce, Squarespace, Shopify, Drupal, Magento, Vue, SharePoint, WordPress, Wix, Webflow, GoDaddy, Jimdo, Joomla, Kajabi. and more.

    Pricing : Starts free for Matomo On-Premise and increases to $23/month for Matomo Cloud (which includes a free 21-day trial with no credit card required).

    Pros

    • 100% accurate data with no data sampling
    • Leading web analytics tool for respecting visitor privacy
    • Compliant with the strictest privacy laws, like the GDPR
    • No need for cookie consent banner (except in the UK and Germany)
    • Wide range of advanced features to optimise your website and increase conversions
    • Cloud hosting and on-premise options for flexibility

    Cons

    • Matomo On-Premise requires technical expertise (but for the less technical, the Cloud option works instantly)
    • On-Premise plugins are an additional cost

    Try Matomo for Free

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

    No credit card required

    2. HubSpot : Best all-in-one CRM for organising leads

    HubSpot is a customer relationship management (CRM) and marketing software with over 194,000 customers worldwide. This user-friendly platform is dedicated to helping businesses of all sizes manage leads and customers.

    Hubspot Marketing activities dashboard

    Why HubSpot ? HubSpot Marketing integrates seamlessly with the HubSpot CRM to help with everything from lead capture to conversion. The platform also features a free version — a great starting place for lead generation and management.

    Standout features : A robust set of no-code lead gen tools, like ads, forms, customisable landing pages, lead capture templates for potential customers, email campaigns, analytics dashboards and a free CRM to track leads.

    Integrations : Google Ads, WordPress, Jotform, Facebook Ads, Magento, Shopify, Weebly, WordPress, Zapier and Drupal.

    Pricing : Starts free for anyone and increases to $800/month for a professional plan.

    Pros

    • User-friendly interface
    • All-in-one lead management solution
    • Easy integration with HubSpot CRM
    • Simple analytics for beginners
    • Includes landing page tools
    • Offers email marketing tools to nurture leads

    Cons

    • Free version has limited functionality
    • Expensive jump to paid plans

    3. Leadfeeder : Best for finding warm B2B leads

    Leadfeeder is a business-to-business (B2B) marketing tool that shows B2B brands which companies are visiting their websites and gives them contact information to reach out to the right decision-makers.

    Leadfeeder dashboard

    Why Leadfeeder ? Leadfeeder simplifies outreach for B2B organisations because it shows you what businesses are interacting with your website. Rather than trying to reach out to completely cold leads, the tool highlights brands that are already checking out your content and offerings.

    Standout features : Many account-based marketing (ABM) tools enable you to discover B2B accounts with insights into when you should contact them after they visit your site, as well as their job titles. The platform also includes a range of features that notify you and your sales team when qualified B2B leads come to your site so that you can move to capture them quickly.

    Integrations : Zoho, Google Chat, Pipedrive, Salesforce, Google Looker Studio, ActiveCampaign, HubSpot, Mailchimp, Microsoft Dynamics and Slack.

    Pricing : Starts at $139/month (includes a 14-day free trial).

    Pros

    • Easily find prospective customers
    • Track website visitors and potential customers freely
    • Simple filtering capabilities

    Cons

    • Few integrations available
    • Can be difficult to contact customer support

    4. OptinMonster : Best all-in-one lead generation form tool

    Founded in 2013, OptinMonster has over 1.2 million users worldwide. It offers a wide range of lead gen tools led by robust form tools that turn your target audience into leads.

    Optinmonster form creation dashboard

    Why OptinMonster ? The platform is one of the most reputable lead generation platforms available. With nearly 100 lead capture templates, it’s highly customisable to almost any business looking to begin capturing leads with different forms.

    Standout features : 95 customisable form templates, drag-and-drop builders, onsite retargeting, segmentation, A/B testing and exit-intent popups that present forms when a user is about to leave the site.

    Integrations : Constant Contact, ConvertKit, ActiveCampaign, Salesforce Pardot, Campaign Monitor, HubSpot, Jilt, Keap and Mailchimp.

    Pricing : Starts at $16/month (no free trial offered).

    Pros

    • Easy drag-and-drop form-builder
    • Wide range of form templates
    • Customisable forms for any business
    • Simple A/B testing to help optimise form performance

    Cons

    • No free trial available
    • Growth features, like onsite retargeting, are only available on higher-tiered plans

    5. Intercom : Best live chat tool for capturing leads

    Intercom is one of the top live chat tools for helping businesses maintain solid communication with their customers. Founded in 2011, this live chat platform serves over 25,000 users around the world with a simple, sophisticated experience and seamless lead generation features.

    Intercome live chat example

    Why Intercom ? Intercom is a live chat tool first. But many people don’t know it’s also a simple lead capture tool. When people think of lead generation, they think of static or popup forms. But Intercom allows you to capture forms directly within a live chat conversation.

    Standout features : Lead generation via live chat that allows you to naturally capture potential customers’ information to turn them into a lead. The tool also comes equipped with chatbots that can automate the communication and lead gen process on autopilot.

    Integrations : Pipedrive, Typeform, Google Analytics, Zapier, Calendly, Salesforce, Stripe, Campaign Monitor, Clearbit Reveal and HubSpot.

    Pricing : Starts at $39/month (with a 21-day free trial).

    Pros

    • Live chat lead gen capture
    • Chatbot lead generation automation
    • Wide range of integrations and apps
    • User-friendly interface

    Cons

    • Fairly expensive for small businesses
    • Customer support isn’t the fastest

    6. Callingly : Best for making inbound calls with leads

    Callingly is a sophisticated call software that lets you get the most out of every inbound call you get from leads. Founded in 2019, this software company gives valuable insights into your inbound call leads, pulling information from various integrations and forms.

    Callingly dashboard

    Why Callingly ? Callingly is a robust call software that gathers lead information through forms, lead magnets, landing pages and forms. The software also has intelligent routing, which sends a call to the most relevant salesperson.

    Standout features : Advanced lead routing ensures inbound leads are directed to the most appropriate sales rep based on their unique needs and geographic location. The tool is also equipped with call tracking, analytics, lead source tracking and more to help personalise the experience for quick capture and conversion of leads.

    Integrations : ClickFunnels, Pipedrive, Salesforce, Drip, Aircall, HubSpot, Jotform, OptinMonster, Unbounce and Zapier.

    Pricing : Starts at $49/month (with a 14-day free trial).

    Pros

    • Instantly see robust caller information based on previous interactions
    • Intelligent routing places leads with the right sales reps
    • Call recordings to capture data and transfer it into your CRM
    • Voicemail and caller ID capabilities
    • Reporting and analytics for performance tracking

    Cons

    • Doesn’t include lead segmentation
    • Limited customisations
    • No email integration

    7. Notion : Best for creating informational lead magnets

    Notion is one of the most popular collaboration tools on the Internet. Founded in 2013, the platform has over 35 million users worldwide. While it’s known primarily for its advanced note-taking capabilities, Notion is also a simple tool you can use to create informational lead magnets.

    Notion course creation template

    Why Notion ? Notion is a simple yet powerful tool you can use to create almost anything. If you want to generate more leads, then creating a free info product with Notion is a simple and effective way to do that. It enables you to create ebooks, digital courses and video courses without having to rely on expensive software.

    Standout features : Documentation tools, note-taking, collaborative documents and duplication capabilities. It’s simple to create a high-value informational product, like an ebook or course with multiple chapters.

    Integrations : Audienceful, Miro, Momentum, Slack, ChatGPT, Clockify, Desktop.com, SureTriggers, Trello and Google Drive.

    Pricing : Starts at $8/month (no free trial available).

    Pros

    • Easy to create a digital product or lead magnet
    • Leads have access with a simple link
    • Lead magnet can be updated in real time
    • AI writing assistant
    • Drag-and-drop functionality
    • User-friendly interface
    • Low-cost pricing plans

    Cons

    • No free trial available (though there is a free version)
    • Search function could use some improvement
    • Performance isn’t the fastest

    Use Matomo to generate more leads

    If you want more leads, then you need to start tracking your website’s forms.

    With Matomo, you get access to features like Form Analytics, A/B Testing, Heatmaps, and Session Recordings to help with conversion rate optimisation.

    Recently, Concrete CMS leveraged Matomo’s funnel analysis feature to improve its lead capture. The CMS was then able to identify bottlenecks in user onboarding. Matomo’s insights showed that users were getting stuck at the address input stage of the form.

    By tweaking their form, Concrete CMS tripled their leads in just a few days.

    If you want to improve your lead generation, then get started with Matomo’s 21-day free trial today. No credit card required.

  • Multivariate Testing vs A/B Testing (Quick-Start Guide)

    7 mars 2024, par Erin

    Traditional advertising (think Mad Men) was all about slogans, taglines and coming up with a one-liner that was meant to change the world.

    But that type of advertising was extremely challenging to test, so it was hard to know if it worked. Most of the time, nobody knew if they were being effective with their advertising.

    Enter modern marketing : the world of data-driven advertising.

    Thanks to the internet and web analytics tools like Matomo, you can quickly test almost anything and improve your site.

    The question is, should you do multivariate testing or A/B testing ?

    While both have their advantages, each has a specific use case.

    In this guide, we’ll break down the differences between multivariate and A/B testing, offer some pros and cons of each and show you some examples so you can decide which one is best for you.

    What is A/B testing ?

    A/B testing, or split testing, is testing an individual element in a medium against another version of the same element to see which produces better results.

    What is a/b testing?

    A/B tests are conducted by creating two different versions of a digital landmark : a website, landing page, email, or advertisement.

    The goal ? Figure out which version performs better.

    Let’s say, for example, you want to drive more sales on your core product page.

    You test two call-to-action buttons : “Buy Now” and “Add to Cart.”

    After running the test for two weeks, you see that “Buy Now” produced 1.2% conversions while “Add to Cart” produced 7.6%.

    In this scenario, you’ve found your winner : version B, “Add to Cart.”

    By conducting A/B tests regularly, you can optimise your site, increase engagement and convert more visitors into customers.

    Keep in mind that A/B testing isn’t perfect ; it doesn’t always produce a win.

    According to Noah Kagan, founder of AppSumo, only 1 out of 8 A/B tests his company conducts produces significant change.

    Advantages of A/B testing

    A/B testing is great when you need to get an accurate result fast on a specific element of your marketing efforts.

    Whether it’s a landing page or product page, you can get quick results without needing a lot of traffic.

    A/B testing is one of the most widely accepted and used testing methods for marketers and business owners.

    When you limit the number of tracked variables used in a test, you can quickly deliver reliable data, allowing you to iterate and pivot quickly if necessary.

    This is a great way to test your marketing methods, especially if you’re a newer business or you don’t have substantial traffic yet.

    Splitting up your traffic into a few segments (like with multivariate testing) will be very challenging to gain accurate results if you have lower daily traffic.

    One final advantage of A/B testing is that it’s a relatively easy way to introduce testing and optimising to a team, decision-maker, or stakeholder since it’s easy to implement. You can quickly demonstrate the value with a simple change and tangible evidence.

    Disadvantages of A/B testing

    So, what are the downsides to A/B testing ?

    Although A/B testing can get you quick results on small changes, it has limitations.

    A/B testing is all about measuring one element against another.

    This means you’re immediately limited in how many elements you can test. If you have to test out different variables, then A/B testing isn’t your best option since you’ll have to run test after test to get your result.

    If you need specific information on how different combinations of elements interact with one another on a web page, then multivariate is your best option.

    What is multivariate testing ?

    If you want to take your testing to the next level, you’ll want to try multivariate testing.

    Multivariate testing relies on the same foundational mechanism of A/B testing, but instead of matching up two elements against one another, it compares a higher number of variables at once.

    Multiple + variations = multivariate.

    Multivariate testing looks at how combinations of elements and variables interact.

    Like A/B testing, traffic to a page is split between different web page versions. Multivariate testing aims to measure each version’s effectiveness against the other versions.

    Ultimately, it’s about finding the winning combination.

    What Is Multivariate Testing?

    When to use multivariate testing

    The quick answer on when to use multivariate testing is if you have enough traffic.

    Just how much traffic, though ?

    While there’s no set number, you should aim to have 10,000 visitors per month or more, to ensure that each variant receives enough traffic to produce meaningful results within a reasonable time frame.

    Once you meet the traffic requirement, let’s talk about use cases.

    Let’s say you want to introduce a new email signup.

    But you want to create it from scratch and aren’t sure what will make your audience take action.

    So, you create a page with a signup form, a header, and an image.

    To run a multivariate test, you create two lengths of signup forms, four headlines, and two images.

    Next, you would create a test to split traffic between these sixteen combinations.

    Advantages of multivariate testing

    If you have enough traffic, multivariate testing can be an incredible way to speed up your A/B testing by testing dozens of combinations of your web page.

    This is handy when creating a new landing page and you want to determine if specific parts of your design are winners — which you can then use in future campaigns.

    Disadvantages of multivariate testing

    The main disadvantage of multivariate testing is that you need a lot of traffic to get started.

    If you try to do a multivariate analysis but you’re not getting much traffic, your results won’t be accurate (and it will take a long time to see accurate data).

    Additionally, multivariate tests are more complicated. They’re best suited for advanced marketers since more moving parts are at play.

    Key differences between multivariate and A/B testing

    Now that we’ve covered what A/B and multivariate tests are, let’s look at some key differences to help clarify which is best for you.

    Key differences between multivariate testing and A/B testing.

    1. Variation of combinations

    The major difference between A/B and multivariate testing is the number of combinations involved.

    With A/B testing, you only look at one element (no combinations). You simply take one part of your page (i.e., your headline copy) and make two versions.

    With multivariate testing, you’re looking at combinations of different elements (i.e., headline copy, form length, images).

    2. Number of pages to test

    The next difference lies in how many pages you will test.

    With an A/B test, you are splitting traffic on your website to two different pages : A and B.

    However, with multivariate testing, you will likely have 4-16 different test pages.

    This is because dozens of combinations can be created when you start testing a handful of elements at once.

    For example, if you want to test two headlines, two form buttons and two images on a signup form, then you have several combinations :

    • Headline A, Button A, Image A
    • Headline A, Button A, Image B
    • Headline A, Button B, Image A
    • Headline A, Button B, Image B
    • Headline B, Button A, Image A
    • Headline B, Button A, Image B
    • Headline B, Button B, Image A
    • Headline B, Button B, Image B

    In this scenario, you must create eight pages to send traffic to.

    3. Traffic requirements

    The next major difference between the two testing types is the traffic requirements.

    With A/B testing, you don’t need much traffic at all.

    Since you’re only testing two pages, you can split your traffic in half between the two types.

    However, if you plan on implementing a multivariate test, you will likely be splitting your traffic at least four or more ways.

    This means you need to have significantly more traffic coming in to get accurate data from your test. If you try to do this when your traffic is too low, you won’t have a large enough sample size.

    4. Time requirements

    Next up, just like traffic, there’s also a time requirement.

    A/B testing only tests two versions of a page against each other (while testing a single element). This means you’ll get accurate results faster than a multivariate test — usually within days.

    However, for a multivariate test, you might need to wait weeks. This is because you’re splitting your traffic by 4, 8, 12, or more web page variations. This could take months since you need a large enough sample size for accuracy.

    5. Big vs. small changes

    Another difference between A/B testing and multivariate testing is the magnitude of changes.

    With an A/B test, you’re looking at one element of a page, which means changing that element to the winning version isn’t a major overhaul of your design.

    But, with multivariate testing, you may find that the winning combination is drastically different than your control page, which could lead to a significant design change.

    6. Accuracy of results

    A/B tests are easier to decipher than multivariate testing since you only look at two versions of a single element on a page.

    You have a clear winner if one headline yields a 5% conversion rate and another yields a 1.2% conversion rate.

    But multivariate testing looks at so many combinations of a page that it can be a bit trickier to decipher what’s moving the needle.

    Pros and cons : Multivariate vs. A/B testing

    Before picking your testing method of choice, let’s look at some quick pros and cons.

    Pros and cons of multivariate vs. a/b testing.

    A/B testing pros and cons

    Here are the pros and cons of A/B testing :

    Pros

    • Get results quickly
    • Results are easier to interpret
    • Lower traffic requirement
    • Easy to get started

    Cons

    • You need to be hyper-focused on the right testing element
    • Requires performing test after test to optimise a web page

    Multivariate testing pros and cons

    Here are the pros and cons of multivariate testing :

    Pros

    • Handy when redesigning an entire web page
    • You can test multiple variables at once
    • Significant results (since traffic is higher)
    • Gather multiple data insights at once

    Cons

    • Requires substantial traffic
    • Harder to accurately decipher results
    • Not as easy to get started (more advanced)

    Use Matomo to start testing and improving your site

    A/B testing in Matomo analytics

    You need to optimise your website if you want to get more leads, land more conversions and grow your business.

    A/B testing and multivariate testing are proven testing methods you can lean on to improve your website and create a better user experience.

    You may prefer one testing method now over the other, and that’s okay.

    The main thing is you’re starting to test. The best marketers and analysts in the world find what works through testing and double down on their winning tactics.

    If you want to start improving your website with testing today, get started with Matomo for free.

    With Matomo, you can conduct A/B tests and multivariate tests easily, accurately, and ethically. Unlike other web analytics tools, Matomo prioritises privacy, providing
    100% accurate data without sampling, and eliminates the need for cookie consent
    banners (except in the UK and Germany).

    Try Matomo free for 21-days. No credit card required.

  • What Is Incrementality & Why Is It Important in Marketing ?

    26 mars 2024, par Erin

    Imagine 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.

    What is incrementally in marketing?

    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. 

    See why over 1 million websites choose Matomo today.

    Try Matomo for Free

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

    No credit card required

    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 vs. attribution

    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.

    Screenshot example of the Matomo dashboard

    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 :

    How to test and analyze incrementality in marketing?

    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 :

    1. 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
    1. Split your audience into two groups :
      • Control group (60% of the segment)
      • Test group (40% of the segment)
    1. Target the control group with your marketing tactic (the simpler the tactic, the better).
    1. Target the test group with a different marketing tactic.
    1. 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.
    1. 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.

    1. They choose people who’ve purchased free weights in the past as their target audience (see how that segmentation works ?).
    2. They split this segment into a control group and a test group.
    3. 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.
    4. They direct their regular marketing campaign plus Facebook ads to the test group (40% of the segment).
    5. 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 :
    Calculation: Incrementality in marketing.
      • 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.