DataLayer
Audit

Check if your data layer is working properly and collecting all key information. Our audit will help identify errors, suggest corrective actions, and optimize the data so that your company can make informed decisions and increase profits.

Higher quality analytical data.: A properly configured data layer ensures complete, accurate, and consistent data, which becomes a solid foundation for business decision-making.
Better marketing efficiency.: Data from the data layer is crucial for AI and marketing tools. The audit ensures their accuracy, which leads to more effective campaigns and higher conversion rates.
Greater competitive advantage.: A correct data layer enables better understanding of customers and more effective use of advanced analytical tools, giving an edge in responding to market changes and customer needs.

Experience & Partnership

We have successfully completed dozens of analytical and technological projects for companies of various sizes, including innovative market leaders. Our expertise is further validated by our strategic partnership with Google in analytics and cloud solutions.

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Why do you need a data layer audit?

If you're uncertain about even one of these questions below, it means you need to conduct a data layer audit for your company!

Sending Key E-commerce Data: Are key conversions, such as purchases, add-to-cart actions, or other important user interactions, correctly sent to the data layer so they can be analyzed in the context of e-commerce performance?
Data Consistency Across the User Journey: Are user data consistent and accurately tracked throughout their entire journey, from the moment they enter the site to the final conversion, providing a complete picture of their behavior?
Correctness and Completeness of Data: Are all event values, such as transaction data, clicks, or product interactions, transmitted correctly, fully complete, and in the appropriate format, ensuring the accuracy of the analysis?
Collecting User ID Information: Is the data layer correctly collecting and assigning User ID information, allowing precise tracking and segmentation of users based on their actions on the site?

A few words about our collaborations

At MediaExpert, we conducted an audit of the Google Analytics 4 implementation on both our website and app, carried out by the company WitBee. They helped us identify key issues we were facing, generously sharing their knowledge and expertise to resolve them. I highly recommend their services to anyone looking to thoroughly understand and improve their analytics strategy.

Agnieszka Szkudlarek

Dyrektor ds. performance marketingu i analiz ecommerce

We had an ambitiousplan to tackle event tracking and attribution modeling across various devices—web, app, cross-device. WitBee cracked it all like solving a Rubik's Cube. They have an excellent understanding of business nuances, and conversations with IT and Data Science teams are a breeze for them. Absolute professionals—I highly recommend these guys.

Katarzyna Milkiewicz

Head of B2B Key Account Management

Discover our step-by-step audit process.

We have planned three clear steps to achieve the best results together. At every stage, we support you with our knowledge and experience, delivering solutions tailored to your needs.

Step 1 - Let’s Understand Your Needs

Introductory Meeting

During a one-hour session, we’ll get to know the specifics of your business, analytical priorities, and current challenges in the data layer. We’ll discuss key business goals to ensure the audit aligns with your needs.

Priority Analysis: We will identify your company’s most important goals and needs related to the data layer.
Defining Key Challenges: Together, we’ll review the main obstacles in implementing the data layer.
Tailoring the Audit: We will design the audit to focus on solutions that have the greatest impact on your business.

Strp 2 - Detailed Analysis

Data Layer Audit

Over 1–2 weeks, we conduct a thorough audit of your data layer to understand its current state and identify necessary changes for optimization. Our goal is to provide actionable recommendations that enhance the quality and accuracy of your data, supporting effective business and marketing efforts.

Event and Data Analysis: We review the accuracy of the implementation and recording of key events and the integrity of product data. This helps identify gaps or errors that may affect the efficiency of marketing efforts and analytical compliance.
Implementation Specification: We prepare detailed instructions for the correct implementation and configuration of events, ensuring that the data layer operates according to best practices.
Tailored Approach: Each audit is customized to the specific needs and requirements of the client, guaranteeing a personalized approach and comprehensive support.

Key Elements of the Audit

A comprehensive data layer audit assesses whether key events and data are properly implemented, accurately recorded, and aligned with business and analytical requirements. This provides a solid foundation for effective optimization of marketing efforts.

Verification of Key Conversions: We ensure that business-critical events such as purchase, sign_up, and login are correctly implemented and recorded in the data layer.
E-commerce Event Audit: We analyze the accuracy of events such as add_to_cart, begin_checkout, and view_item to support the effectiveness of marketing efforts.
Data Consistency in the Purchase Journey: We check the integrity of product data at every stage of the purchase journey, including the completeness of attributes like item_id and item_price.
User ID Verification: We assess the correct implementation of the User ID to enable tracking of users across devices and channels.
First-Party Data Audit: We ensure user data, such as emails, is collected, hashed, and compliant with privacy regulations.
Analysis of Specific Business Events: We verify the accuracy of custom events tailored to the client’s business operations, adapting the audit scope to their unique needs.

Step 3 - Conclusions and Action Plan

Summary Meeting

During a 1–2 hour session, we will present the key findings from the audit, highlighting the most critical areas for improvement and recommended actions. We will discuss priority changes that can deliver the greatest benefits for your business.

Discussion of Findings and Recommendations: We will present the key audit insights and principles for proper implementation to facilitate effective adoption of changes.
Audit Summary Document: You will receive a detailed review of your data layer configuration, an assessment of data consistency, specific corrective recommendations, and technical specifications for your IT team.
Action Plan – A Detailed Implementation Roadmap: After the audit, you will receive a detailed action plan outlining priority tasks to improve data quality and process optimization. The plan will indicate what to implement immediately and what to schedule for the future, aligning actions with your available resources.

It's time to see how this works for your business.

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FAQ

DataLayerAudit