How to Solve Cross-Device Tracking Issues with Pathmonk Intelligence

The inability to recognize users across different devices, commonly referred to as cross-device tracking challenges, leads to fragmented customer experiences, incomplete data, and inaccurate conversion attribution. These persistent issues, if not effectively addressed, can significantly impede the optimization of marketing strategies and have a direct impact on overall business growth.

In this article, we’ll delve into the complexities of cross-device tracking and provide you with a step-by-step roadmap to solve it effectively with the help of a machine-learning-powered analytics tool, Pathmonk Intelligence.

Table of contents:

Step by Step: Solving Cross-Device Tracking Issues with Pathmonk Intelligence

To address the challenge of cross-device data attribution, traditional analytics tools like Google Analytics often necessitate the activation of the ‘User-ID’ feature. This feature allows the linkage of user interactions with a distinct identifier, enabling a more comprehensive understanding of user journeys across devices. However, the implementation of this technology can be intricate, involving the modification of your Google Analytics tracking code. Furthermore, it has shown vulnerabilities in accurately capturing and associating user data, which can lead to incomplete and less precise insights into user behavior and conversion paths.

Pathmonk Intelligence, however, is a powerful tool that will automatically integrate seamlessly with your existing analytics infrastructure, eliminating the need for complex ID setups. It leverages advanced algorithms and machine learning to bridge the gaps in cross-device tracking, ensuring a holistic view of user journeys.

1. Analyze Your Multi-Device Customer Journey

Pathmonk Intelligence is set up to register and interpret cross-device traffic automatically, so you don’t need to do any additional setup. Once you log in to your Intelligence account, navigate to the left-hand side of the menu and select the Buying Journey report. 

Choose the period that aligns with your objectives. Whether you wish to compare conversions over different time frames or contrast your overall buying journey with a particular source, channel, or campaign’s buying journey, Pathmonk Intelligence empowers you to do so effortlessly.

Buying Journey Report: How to Solve Cross-Device Tracking Issues with Pathmonk Intelligence

Within this report, you can analyze your integral customer journey, which includes a detailed understanding of pivotal touchpoints across each channel for every stage, conversions, and interactions across various devices.

2. Understand How Your Website Performs with Different Devices

After knowing exactly how your customer journey integrates all device information for conversion optimization, head to the Web Pages report and scroll to the Page and Server Speed section. 

There, you will be able to compare different pages’ responsiveness to desktop and mobile devices and understand if there are any assets that you could optimize for an improved user experience.

Page & Server Speed: How to Solve Cross-Device Tracking Issues with Pathmonk Intelligence

What is Cross-Device Tracking?

Cross-device tracking is the process of monitoring and connecting a single user’s interactions and activities across multiple devices and platforms. This includes but is not limited to smartphones, tablets, desktop computers, and even IoT devices. It’s all about following the user’s digital breadcrumbs as they hop from one device to another, creating a unified and cohesive picture of their journey.

Now, why is this so important? It enables marketers to understand the complete user journey, from initial touchpoints to conversion. Without cross-device tracking, you might see only isolated interactions on each device, missing the larger context of how a user engaged with your brand.

Challenges Faced by Marketers Without Effective Cross-Device Tracking

The challenges stemming from the lack of effective cross-device tracking are far-reaching. Here are some of the key pain points:

  • Incomplete Customer Journeys: When you can’t track a user’s path across devices, you’re essentially blind to significant portions of their interaction with your brand. This can lead to missed opportunities for engagement and conversion.
  • Loss of Information: Data continuity is crucial in making informed marketing decisions. Without it, you lose valuable insights into user preferences, behaviors, and the effectiveness of your campaigns.
  • Inaccurate Attribution: Accurately attributing conversions and other key performance indicators to the right devices or channels becomes a puzzle without cross-device tracking. This can skew your ROI calculations and hinder the optimization of marketing strategies.
  • Disconnected User Experiences: Users today expect a seamless transition as they switch between devices. Inconsistent experiences can result in frustration and disengagement.
  • Wasted Ad Spend: In the absence of precise cross-device tracking, your ad spend may not be efficiently allocated. You risk showing the same ads to users repeatedly or failing to retarget them effectively.

Pathmonk Intelligence: The Solution for Cross-Device Conversions Attribution

Pathmonk Intelligence leverages advanced machine learning algorithms to tackle the intricacies of cross-device tracking. By using cutting-edge technology, it overcomes the limitations of traditional tracking methods. 

Here’s How:

  • Pattern Recognition: Machine learning algorithms can recognize patterns in user behavior that indicate cross-device activity. For example, if a user frequently accesses your website from a desktop computer during work hours and switches to a mobile device in the evening, the machine learning model can learn and identify this pattern.
  • Device Fingerprinting: Machine learning models can analyze device-specific attributes like screen resolution, operating system, and browser type. By comparing these attributes across different sessions, the model can make inferences about whether the same user is accessing the website from multiple devices.
  • IP Address Analysis: Machine learning can examine IP addresses to identify users behind a shared network. If multiple devices within the same IP range are engaging with your platform, machine learning can link them to the same user or household.
  • Login Information: When users log in to your platform, machine learning can directly associate their actions with their account. But even when users don’t log in, machine learning can use various techniques to create pseudo-identifiers based on their behavior and session information.
  • Time-Based Analysis: Machine learning models can analyze the timing of user interactions. If a user frequently switches devices at specific times, such as weekdays for work and weekends for leisure, the model can infer cross-device usage.
  • Consistency in Behavior: Users often exhibit consistent behaviors, even when they switch devices. Machine learning can identify this consistency and use it as a basis for cross-device tracking.
  • Session Continuity: By tracking the continuity of user sessions, machine learning can recognize when a session starts on one device and continues on another. This information is vital for understanding cross-device journeys.
  • Machine Learning Models: Machine learning algorithms, such as decision trees, neural networks, or clustering methods, can be trained on historical cross-device data to detect common characteristics and relationships that signify cross-device traffic.

Benefits of Using Pathmonk Intelligence Over Traditional Analytics Tools

Pathmonk Intelligence offers a dynamic and privacy-compliant solution that is well-suited to the complex world of website analytics:

  • Cookieless Technology: Pathmonk Intelligence operates entirely without cookies, ensuring strict adherence to changing privacy regulations. This sets it apart from traditional analytics platforms, making it a trusted choice for user data protection.
  • Simplifying Complex Analytics Tools: You may often find yourself grappling with the complexity of analytics platforms such as Google Analytics 4 and Tag Manager. Pathmonk Intelligence steps in as a user-friendly alternative, eliminating the need for coding or technical expertise. You can now access valuable insights without the steep learning curve.
  • Precise Attribution Modeling: Accurately attributing conversions to the right channels and campaigns remains an enduring challenge for marketers. Pathmonk Intelligence’s AI-powered algorithm offers precise attribution modeling. This simplifies the optimization of marketing efforts and leads to improved return on investment (ROI).
  • Escaping Data Overload and Analysis Paralysis: Inundated by oceans of data, you can find yourself drowning in analysis paralysis. Pathmonk Intelligence streamlines data collection and presents actionable insights, providing a lifebuoy amid the sea of information. You can now make informed decisions without being overwhelmed.
  • Automated Behavior Analysis: Setting up event tracking is frequently a laborious and technical undertaking. Pathmonk Intelligence, however, simplifies this process by automating behavior analysis, effectively cutting through technical overhead and saving valuable time.

How to Add Pathmonk Intelligence to Your Marketing Strategy

Step 1: Set up your Pathmonk Intelligence account

If you want a hands-on test of how Pathmonk Intelligence works and what it can do for you, sign up for a Free Demo. This hands-on experience will provide you with valuable insights into how Pathmonk Intelligence can work to your advantage. 

Alternatively, you can start your journey directly with Pathmonk Intelligence by signing up for an account.

Step 2: Onboarding and Installation

Once registered, the next step is to integrate Pathmonk Intelligence with your platform.

The onboarding process has been designed to be exceptionally user-friendly, making it a self-service experience that ensures you’re up and running smoothly.

Step 3: Data Configuration

Your business is one-of-a-kind, and so are your objectives. We encourage you to customize your data collection settings to precisely align with your unique business goals. This level of customization empowers you to tailor your goals, ensuring that you receive the most relevant insights that will truly impact your success.

You have the flexibility to establish your goals using various methods: through a URL, a pixel that doesn’t rely on cookies, or by integrating with a third-party application. No matter which option you choose, you won’t need developers. However, if you encounter any issues with your data configuration, you can always contact our support team.

Applying Cross-Device Attribution Data to Your Marketing Strategy

Now that you have access to accurate cross-device marketing data, it’s time to harness its potential. Here’s what you should do as a marketer with this information at your disposal:

1. Device-Specific Content Optimization

Armed with insights into each device’s performance optimize your content and user experience for each platform. This might involve mobile-responsive design, app development, or specialized content for specific devices. The goal is to provide a seamless and consistent experience as users transition between devices.

2. Refine Conversion Funnels

Examine the conversion funnels within the customer journey report. Identify any bottlenecks or drop-off points and make data-driven decisions to optimize the user journey for improved conversions.

3. Test and Refine

Continuous testing and refinement are key to a successful marketing strategy. Use cross-device data to test different approaches and understand what works best for each device segment. Be prepared to adapt and evolve your strategies based on the insights you gather.

Exploring Pathmonk Intelligence Cross-Device Data Use Cases

Cross-device data has a broad range of applications across various industries, and understanding how users transition between devices is pivotal for tailoring strategies effectively. Let’s delve into specific use cases within different industries:


In the eCommerce sector, users often initiate their shopping journey on a mobile device while commuting or during leisure time. However, when it comes to making a purchase decision, they frequently switch to a desktop or tablet for a more detailed and convenient browsing experience. 

Pathmonk Intelligence uncovers this transition pattern and incorporates it into the same user’s customer journey, allowing eCommerce businesses to optimize their mobile shopping apps for product discovery and their desktop websites for the final purchasing stages.

Travel and Hospitality:

For travel and hospitality companies, understanding cross-device behavior is essential. Users may start researching travel options on their mobile phones, searching for destinations and accommodations. 

When it’s time to book, they often switch to a desktop for a more extensive review and secure transactions, similar to the eCommerce buying journey. To avoid misleading data, Pathmonk Intelligence provides a comprehensive consumer journey that integrates data from all devices that have been used for converting.

B2B and SaaS:

In the B2B and SaaS industries, decision-makers often conduct preliminary research on their mobile devices. Still, when it comes to in-depth product evaluations, contract negotiations, or accessing complex software, they prefer the larger screens and enhanced functionalities of desktop devices. Pathmonk Intelligence assists in understanding how that cross-device path performs, offering opportunities for optimization.

Financial Services:

In the financial services industry, users frequently switch devices during their journey. They may use mobile banking apps for quick balance checks and transactions but rely on desktop platforms for more complex financial planning, investments, and accessing detailed statements. 

This can result in convoluted and inaccurate customer journeys that hinder data analysis, making it challenging for financial institutions to gain a clear view of user behavior and preferences. As a result, without effective cross-device tracking, marketing efforts may lack precision, leading to suboptimal user experiences and potentially missed opportunities for offering personalized financial services.

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