Analytics for marketeers

How to organize your MarTech stack

As a Marketer today you use tools, like Google Analytics, Piwik PRO, and PostHog, to get insights for your strategies. These Marketing Technology tools should make life easier, right? Well… we know that often, they potentially create more headaches than solutions. We are talking about all the Marketing Data management consequences that using these platforms have. For example, Cookies Compliance, Data Discrepancies, Tagging and Tracking issues, to name a few.

These become a problem as they might require some technical understanding: coding, APIs, data integration and data modeling. You shouldn’t need to be a programmer to do marketing, but these days, it feels like you do.

On that note, we aim in this article to highlight the top data issues we see marketers struggle with most and how we fix them.

The Core Data Challenges Marketers Face

  1. Cookie Consent: Many marketers don’t have the time for cookies’ technical details. And when they do, we found out that it can be a bit overwhelming to ensure privacy compliance. As accurate data tracking depends on compliant cookie consent banners we help marketers to properly configure these to achieve data collection in line with the current laws without the stress. As a Cookiebot partner, we create standard and custom banners laying a solid foundation for the data journey.

  2. Tag Management: Let’s take Google Tag Manager as an example, while seemingly simple, it becomes complex with large websites and/or unorganized tagging strategies. These platforms might lead to frustration when there is not enough time for them. We solve this by developing tagging plans to avoid losing focus and ensure accurate data collection, saving marketers tons of time.

  3. Resolving Data Discrepancies: Data inconsistencies across platforms, for example, click counts between LinkedIn and Google Analytics may differ. The reasons behind it could be many, you can check some of them here. The problem with this is that it can lead to inaccurate reporting. We had faced this issue before and came up with an analysis workflow to understand this better and provide costume solutions to it.

  4. Effective Data Visualization: We had seen pretty cluttered dashboards that show every possible metric available. We understand that data from platforms like Google Analytics can be overwhelming or can deceive and make you believe that everything is useful. Counting with a clear goal on what to visualize is key. We help identify the important insights and create clear visualizations focusing on a predefined marketing goal. For example you can see this applied in our web vitals dashboard.

Turning data headaches into powerful insights

At Marketing Engineers, we specialize in the technical aspects of the Marketing Data journey. Our team handles the time-consuming and frustrating* technical tasks, allowing marketers to focus on strategic growth.

*frustrating for some 😉

Let’s discuss how we can streamline your data processes and get tangible, useful results. Pick our brains today: