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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.

  

  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 :

  

  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.

  

  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.

  Start for free

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  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.

  

  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.

  

  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.

  

  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.

  

  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.

  

  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.

  

  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.

  Try Matomo for Free

  21 day free trial. No credit card required.

  
  

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• Is Google Analytics Accurate ? 6 Important Caveats

  8 novembre 2022, par Erin

  It’s no secret that accurate website analytics is crucial for growing your online business — and Google Analytics is often the go-to source for insights. 

  But is Google Analytics data accurate ? Can you fully trust the provided numbers ? Here’s a detailed explainer.

  How Accurate is Google Analytics ? A Data-Backed Answer 

  When properly configured, Google Analytics (Universal Analytics and Google Analytics 4) is moderately accurate for global traffic collection. That said : Google Analytics doesn’t accurately report European traffic. 

  According to GDPR provisions, sites using GA products must display a cookie consent banner. This consent is required to collect third-party cookies — a tracking mechanism for identifying users across web properties.

  Google Analytics (GA) cannot process data about the user’s visit if they rejected cookies. In such cases, your analytics reports will be incomplete.

  Cookie rejection refers to visitors declining or blocking cookies from ever being collected by a specific website (or within their browser). It immediately affects the accuracy of all metrics in Google Analytics.

  Google Analytics is not accurate in locations where cookie consent to tracking is legally required. Most consumers don’t like disruptive cookie banners or harbour concerns about their privacy — and chose to reject tracking. 

  This leaves businesses with incomplete data, which, in turn, results in : 

  • Lower traffic counts as you’re not collecting 100% of the visitor data. 
  • Loss of website optimisation capabilities. You can’t make data-backed decisions due to inconsistent reporting

  For the above reasons, many companies now consider cookieless website tracking apps that don’t require consent screen displays. 

  Why is Google Analytics Not Accurate ? 6 Causes and Solutions 

  A high rejection rate of cookie banners is the main reason for inaccurate Google Analytics reporting. In addition, your account settings can also hinder Google Analytics’ accuracy.

  If your analytics data looks wonky, check for these six Google Analytics accuracy problems. 

  You Need to Secure Consent to Cookies Collection 

  To be GDPR-compliant, you must display a cookie consent screen to all European users. Likewise, other jurisdictions and industries require similar measures for user data collection. 

  This is a nuisance for many businesses since cookie rejection undermines their remarketing capabilities. Hence, some try to maximise cookie acceptance rates with dark patterns. For example : hide the option to decline tracking or make the texts too small. 

  

  Sadly, not everyone’s treating users with respect. A joint study by German and American researchers found that only 11% of US websites (from a sample of 5,000+) use GDPR-compliant cookie banners.

  As a result, many users aren’t aware of the background data collection to which they have (or have not) given consent. Another analysis of 200,000 cookies discovered that 70% of third-party marketing cookies transfer user data outside of the EU — a practice in breach of GDPR.

  Naturally, data regulators and activities are after this issue. In April 2022, Google was pressured to introduce a ‘reject all’ cookies button to all of its products (a €150 million compliance fine likely helped with that). Whereas, noyb has lodged over 220 complaints against individual websites with deceptive cookie consent banners.

  The takeaway ? Messing up with the cookie consent mechanism can get you in legal trouble. Don’t use sneaky banners as there are better ways to collect website traffic statistics. 

  Solution : Try Matomo GDPR-Friendly Analytics 

  Fill in the gaps in your traffic analytics with Matomo – a fully GDPR-compliant product that doesn’t rely on third-party cookies for tracking web visitors. Because of how it is designed, the French data protection authority (CNIL) confirmed that Matomo can be used to collect data without tracking consent.

  With Matomo, you can track website users without asking for cookie consent. And when you do, we supply you with a compact, compliant, non-disruptive cookie banner design. 

  Your Google Tag Isn’t Embedded Correctly 

  Google Tag (gtag.js) is a web tracking script that sends data to your Google Analytics, Google Ads and Google Marketing Platform.

  A corrupted gtag.js installation can create two accuracy issues : 

  • Duplicate page tracking 
  • Missing script installation 

  Is there a way to tell if you’re affected ?

  Yes. You may have duplicate scripts installed if you have a very low bounce rate on most website pages (below 15% – 20%). The above can happen if you’re using a WordPress GA plugin and additionally embed gtag.js straight in your website code. 

  A tell-tale sign of a missing script on some pages is low/no traffic stats. Google alerts you about this with a banner : 

  

  Solution : Use Available Troubleshooting Tools 

  Use Google Analytics Debugger extension to analyse pages with low bounce rates. Use the search bar to locate duplicate code-tracking elements. 

  Alternatively, you can use Google Tag Assistant for diagnosing snippet install and troubleshooting issues on individual pages. 

  If the above didn’t work, re-install your analytics script. 

  Machine Learning and Blended Data Are Applied

  Google Analytics 4 (GA4) relies a lot on machine learning and algorithmic predictions.

  By applying Google’s advanced machine learning models, the new Analytics can automatically alert you to significant trends in your data. [...] For example, it calculates churn probability so you can more efficiently invest in retaining customers.

  Vidhya Srinivasan, VP of Measurement, Analytics and Buying Platforms at Google

  On the surface, the above sounds exciting. In practice, Google’s application of predictive algorithms means you’re not seeing actual data. 

  To offer a variation of cookieless tracking, Google algorithms close the gaps in reporting by creating models (i.e., data-backed predictions) instead of reporting on actual user behaviours. Therefore, your GA4 numbers may not be accurate.

  For bigger web properties (think websites with 1+ million users), Google also relies on data sampling — a practice of extrapolating data analytics, based on a data subset, rather than the entire dataset. Once again, this can lead to inconsistencies in reporting with some numbers (e.g., average conversion rates) being inflated or downplayed. 

  Solution : Try an Alternative Website Analytics App 

  Unlike GA4, Matomo reports consist of 100% unsampled data. All the aggregated reporting you see is based on real user data (not guesstimation). 

  Moreover, you can migrate from Universal Analytics (UA) to Matomo without losing access to your historical records. GA4 doesn’t yet have any backward compatibility.

  Spam and Bot Traffic Isn’t Filtered Out 

  Surprise ! 42% of all Internet traffic is generated by bots, of which 27.7% are bad ones.

  Good bots (aka crawlers) do essential web “housekeeping” tasks like indexing web pages. Bad bots distribute malware, spam contact forms, hack user accounts and do other nasty stuff. 

  A lot of such spam bots are designed specifically for web analytics apps. The goal ? Flood your dashboard with bogus data in hopes of getting some return action from your side. 

  Types of Google Analytics Spam :

  • Referral spam. Spambots hijack the referrer, displayed in your GA referral traffic report to indicate a page visit from some random website (which didn’t actually occur). 
  • Event spam. Bots generate fake events with free language entries enticing you to visit their website. 
  • Ghost traffic spam. Malicious parties can also inject fake pageviews, containing URLs that they want you to click. 

  Obviously, such spammy entities distort the real website analytics numbers. 

  Solution : Set Up Bot/Spam Filters 

  Google Analytics 4 has automatic filtering of bot traffic enabled for all tracked Web and App properties. 

  But if you’re using Universal Analytics, you’ll have to manually configure spam filtering. First, create a new view and then set up a custom filter. Program it to exclude :

  • Filter Field : Request URI
  • Filter Pattern : Bot traffic URL

  Once you’ve configured everything, validate the results using Verify this filter feature. Then repeat the process for other fishy URLs, hostnames and IP addresses. 

  You Don’t Filter Internal Traffic 

  Your team(s) spend a lot of time on your website — and their sporadic behaviours can impair your traffic counts and other website metrics.

  To keep your data “employee-free”, exclude traffic from : 

  • Your corporate IPs addresses 
  • Known personal IPs of employees (for remote workers) 

  If you also have a separate stage version of your website, you should also filter out all traffic coming from it. Your developers, contractors and marketing people spend a lot of time fiddling with your website. This can cause a big discrepancy in average time on page and engagement rates. 

  Solution : Set Internal Traffic Filters 

  Google provides instructions for excluding internal traffic from your reports using IPv4/IPv6 address filters. 

  

  Session Timeouts After 30 Minutes 

  After 30 minutes of inactivity, Google Analytics tracking sessions start over. Inactivity means no recorded interaction hits during this time. 

  Session timeouts can be a problem for some websites as users often pin a tab to check it back later. Because of this, you can count the same user twice or more — and this leads to skewed reporting. 

  Solution : Programme Custom Timeout Sessions

  You can codify custom cookie timeout sessions with the following code snippets : 

  • _setSessionCookieTimeout. Set a custom new session cookie timeout in milliseconds.
  • _setVisitorCookieTimeout. Sets a custom Google Analytics visitor cookie expiration time frame in milliseconds.

  Final Thoughts 

  Thanks to its scale and longevity, Google Analytics has some strong sides, but its data accuracy isn’t 100% perfect.

  The inability to capture analytics data from users who don’t consent to cookie tracking and data sampling applied to bigger web properties may be a deal-breaker for your business. 

  If that’s the case, try Matomo — a GDPR-compliant, accurate web analytics solution. Start your 21-day free trial now. No credit card required.

  21 day free trial. No credit card required.

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• A Beginner’s Guide to Omnichannel Analytics

  14 avril 2024, par Erin

  Linear customer journeys are as obsolete as dial-up internet and floppy disks. As a marketing manager, you know better than anyone that customers interact with your brand hundreds of times across dozens of channels before purchasing. That can make tracking them a nightmare unless you build an omnichannel analytics solution. 

  Alas, if only it were that simple. 

  Unfortunately, it’s not enough to collect data on your customers’ complex journeys just by buying an omnichannel platform. You need to generate actionable insights by using marketing attribution to tie channels to conversions. 

  This article will explain how to build a useful omnichannel analytics solution that lets you understand and improve the customer journey.

  What is omnichannel analytics ?

  Omnichannel analytics collects and analyses customer data from every touchpoint and device. The goal is to collect all this omnichannel data in one place, creating a single, real-time, unified view of your customer’s journey.

  

  Unfortunately, most businesses haven’t achieved this yet. As Karen Lellouche Tordjman and Marco Bertini say :

  “Despite all the buzz around the concept of omnichannel, most companies still view customer journeys as a linear sequence of standardised touchpoints within a given channel. But the future of customer engagement transforms touchpoints from nodes along a predefined distribution path to full-blown portals that can serve as points of sale or pathways to many other digital and virtual interactions. They link to chatbots, kiosks, robo-advisors, and other tools that customers — especially younger ones — want to engage with.”

  However, doing so is more important than ever — especially when consumers have over 300 digital touchpoints, and the average number of touchpoints in the B2B buyer journey is 27.

  Not only that, but customers expect personalised experiences across every platform — that’s the kind you can only create when you have access to omnichannel data.

  

  What might omnichannel analytics look like in practice for an e-commerce store ?

  An online store would integrate data from channels like its website, mobile app, social media accounts, Google Ads and customer service records. This would show how customers find its brand, how they use each channel to interact with it and which channels convert the most customers. 

  This would allow the e-commerce store to tailor marketing channels to customers’ needs. For instance, they could focus social media use on product discovery and customer support. Google Ads campaigns could target the best-converting products. While all this is happening, the store could also ensure every channel looks the same and delivers the same experience. 

  What are the benefits of omnichannel analytics ?

  Why go to all the trouble of creating a comprehensive view of the customer’s experience ? Because you stand to gain some pretty significant benefits when implementing omnichannel analytics.

  

  Understand the customer journey

  You want to understand how your customers behave, right ? No other method will allow you to fully understand your customer journey the way omnichannel analytics does. 

  It doesn’t matter how customers engage with your brand — whether that’s your website, app, social media profiles or physical stores — omnichannel analytics capture every interaction.

  With this 360-degree view of your customers, it’s easy to understand how they move between channels, where they encounter issues and what bottlenecks prevent them from converting. 

  Deliver better personalisation

  We don’t have to tell you that personalisation matters. But do you know just how important it is ? Since 56% of customers will become repeat buyers after a personalised experience, delivering them as often as possible is critical. 

  Omnichannel analytics helps in your quest for personalisation by highlighting the individual preferences of customer segments. For example, e-commerce stores can use omnichannel analytics to understand how shoppers behave across different devices and tailor their offers accordingly. 

  Upgrade the customer experience

  Omnichannel analytics gives you the insights to improve every aspect of the customer experience. 

  For starters, you can ensure a consistent brand experience across all your top channels by making sure they look and behave the same.

  Then, you can use omnichannel insights to tailor each channel to your customers’ requirements. For example, most people interacting with your brand on social media may seek support. Knowing that you can create dedicated support accounts to assist users. 

  Improve marketing campaigns

  Which marketing campaigns or traffic sources convert the most customers ? How can you improve these campaigns ? Omnichannel analytics has the answers. 

  When you implement omnichannel analytics you automatically track the performance of every marketing channel by attributing each conversion to one or more traffic sources. This lets you see whether Google Ads bring in more customers than your SEO efforts. Or whether social media ads are the most profitable acquisition channel. 

  Armed with this information, you can improve your marketing efforts — either by focusing on your profitable channels or rectifying problems that stop less profitable channels from converting.

  What are the challenges of omnichannel analytics ?

  There are three challenges when implementing an omnichannel analytics solution :

  

  • Complex customer journeys : Customer journeys aren’t linear and can be incredibly difficult to track. 
  • Regulatory and privacy issues : When you start gathering customer data, you quickly come up against consumer privacy laws. 
  • No underlying goal : There has to be a reason to go to all this effort, but brands don’t always have goals in mind before they start. 

  You can’t do anything about the first challenge. 

  After all, your customer journey will almost never be linear. And isn’t the point of implementing an omnichannel solution to understand these complex journeys in the first place ? Once you set up omnichannel analytics, these journeys will be much easier to decipher. 

  As for the other two :

  Using the right software that respects user privacy and complies with all major privacy laws will avoid regulatory issues. Take Matomo, for instance. Our software was designed with privacy in mind and is configured to follow the strictest privacy laws, such as GDPR. 

  Tying omnichannel analytics to marketing attribution will solve the final challenge by giving your omnichannel efforts a goal. When you tie omnichannel analytics to your marketing efforts, you aren’t just getting a 360-degree view of your customer journey for the sake of it. You are getting that view to improve your marketing efforts and increase sales.

  Try Matomo for Free

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

  Start for free

  No credit card required

  How to set up an omnichannel analytics solution

  Want to set up a seamless analytical environment that incorporates data from every possible source ? Follow these five steps :

  Choose one or more analytics providers

  You can use several tools to build an omnichannel analytics solution. These include web and app analytics tools, customer data platforms that centralise first-party data and business intelligence tools (typically used for visualisation). 

  Which tools you use will depend on your goals and your budget — the loftier your ambitions and the higher your budget, the more tools you can use. 

  Ideally, you should use as few tools as possible to capture your data. Most teams won’t need business intelligence platforms, for example. However, you may or may not need both an analytics platform and a customer data platform. Your decision will depend on how many channels your customers use and how well your analytics tool tracks everything.

  If it can capture web and app usage while integrating with third-party platforms like your back-end e-commerce platform, then it’s probably enough.

  Collect accurate data at every touchpoint 

  Your omnichannel analytics efforts hinge on the quantity and quality of data you can collect. You want to gather data from every touchpoint possible and store that data in as few places as possible. That’s why choosing as few tools as possible in the step above is so important. 

  So, where should you start ? Common data sources include :

  • Your website
  • Apps (iOS and Android)
  • Social media profiles
  • ERPs
  • PoS systems

  At the same time, make sure you’re tracking all relevant metrics. Revenue, customer engagement and conversion-focused metrics like conversion rate, dwell time, cart abandonment rate and churn rate are particularly important. 

  Set up marketing attribution

  Setting up marketing attribution (also known as multi-touch attribution) is essential to tie omnichannel data to business goals. It’s the only way to know exactly how valuable each marketing channel is and where each customer comes from. 

  You’ll want to use multi-touch attribution, given you have data from across the customer journey.

  

  Multi-touch attribution models can include (but are not limited to) :

  • Linear : where each touchpoint is given equal weighting
  • Time decay : where touchpoints are more valuable the nearer they are to conversion
  • Position-based : where the first and last touch points are more valuable than all the others. 

  You don’t have to use just one of the models above, however. One of the benefits of using a web analytics tool like Matomo is that you can choose between different attribution models and compare them.

  Try Matomo for Free

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

  Start for free

  No credit card required

  Create reports that help you visualise data

  Dashboards are your friend here. They’ll let you see KPIs at a glance, allowing you to keep track of day-to-day changes in your customer journey. Ideally, you’ll want a platform that lets you customise dashboard widgets so only relevant KPIs are shown. 

  

  Setting up standard and custom reports is also important. Custom reports allow you to choose metrics and dimensions that align with your goals. They will also allow you to present your data most meaningfully to your team, increasing the likelihood they act upon insights. 

  Analyse data and take action

  Now that you have customer journey data at your fingertips, it’s time to analyse it. After all, there’s no point in implementing an omnichannel analytics solution if you aren’t going to take action. 

  If you’re unsure where to start, re-read the benefits we listed at the start of this article. You could use your omnichannel insights to improve your marketing campaigns by doubling down on the channels that bring in the best customers.

  Or you could identify (and fix) bottlenecks in the customer journey so customers are less likely to fall out of your funnel between certain channels. 

  Just make sure you take action based on your data alone.

  Make the most of omnichannel analytics with Matomo

  A comprehensive web and app analytics platform is vital to any omnichannel analytics strategy. 

  But not just any solution will do. When privacy regulations impede an omnichannel analytics solution, you need a platform to capture accurate data without breaking privacy laws or your users’ trust. 

  That’s where Matomo comes in. Our privacy-friendly web analytics platform ensures accurate tracking of web traffic while keeping you compliant with even the strictest regulations. Moreover, our range of APIs and SDKs makes it easy to track interactions from all your digital products (website, apps, e-commerce back-ends, etc.) in one place. 

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

  Try Matomo for Free

  21 day free trial. No credit card required.

  
  

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