Hiring technical web analysts has never been harder. The labor market is tight, the competition for digital talent is fierce, and the workload keeps growing. Marketing and analytics teams are expected to deliver accurate, actionable insights, and this while there is often a lack of capacity.
So how do you stay on top of your data when you’re understaffed and still expected to deliver high-performance results?
The answer is simple: just automate what slows you down.
The hidden time sink: manual data checks
Many teams still rely on manual checks to ensure their tracking setup is working. That means opening multiple containers, comparing dashboards, verifying event triggers, and searching for the root cause of discrepancies between the backend and the analytics tools.
This kind of detective work is not only boring and repetitive, it’s also time-consuming, error-prone, and demotivating. It pulls skilled analysts away from higher-value tasks like analysis, optimization, and strategic thinking.
The case for Code Cube’s data collection monitoring
Code Cube offers automated, real-time monitoring of your entire data collection setup. That includes client-side tags, server-side implementations, and dataLayer changes—across every domain, GTM container, and country.
Here’s how we help teams stay effective, even when short-staffed:
While hiring isn’t always an option, scaling smarter is
Let’s face it: growing your team isn’t always realistic in today’s job market. But what you can do is give your current team better tools. A SaaS monitoring solution like Code Cube doesn’t replace your analysts, it amplifies them. It lets them do more of what they’re good at, and less of what slows them down.
In a world where time and talent are limited, automation isn’t just helpful, it’s essential.
