Transform Marketing Data Into Analytics-Ready Datasets

👇 The Data Issues That Are Slowing Your Marketing Growth 👇

Untrustworthy GA4 Data

Misconfigured tracking leads to missing events, misfiring conversions, and untrustworthy analytics reports.

The issue lies in broken tracking implementations, where critical user actions are not captured or are recorded inaccurately due to a wrong GTM setup. This problem also involves an improper configuration of Consent Mode, which compromises both data integrity and compliance with user privacy choices.

The solution is to rectify the broken tracking implementations and ensure a proper, privacy-compliant Consent Mode setup, thus establishing robust and reliable foundational data capture.

Inefficient Ad Spending

Algorithms underperform and budgets are wasted when campaign optimization lacks the clean, accurate data.

Advertising algorithms rely on high-quality conversion data to learn and optimize performance. Without this data, algorithms underperform, resulting in an inability to accurately assess campaign effectiveness.

The solution is to implement clean and conversion-focused tracking. This setup improves Return On Ad Spend (ROAS) and allows you to scale marketing efforts with confidence.

Lack of Unified Data

Data scattered across multiple platforms (GA4, Ads, CRM, ERP) prevents a unified view of marketing performance.

Marketing teams spend an unreasonable amount of time manually downloading, copying, correcting, and formatting data because marketing data are dispersed across dozens of platforms.

The solution is to centralize all disparate data in a marketing data warehouse. By applying data modeling, you can link marketing metrics directly to business outcomes. This process establishes a singular source of truth that all stakeholders can trust.

About

Who am I? Marketing analytics engineer and Google Tag Manager/Google Analytics specialist, passionate about data and problem-solving. I originally studied philosophy before transitioning to applied informatics. During my informatics studies, I discovered machine learning and deep neural networks, which led me to work with data.

Links: LinkedIn | GitHub