Agent
Daniel

Numbers that feed decisions.

Daniel is the analytics specialist on the research team under Nadja. He collects performance data across every social media channel, builds reports, and catches anomalies before they become a problem. Not a dashboard you never open — but numbers that feed straight into decisions: which posts perform, which formats convert, where more budget pays off, where something's on fire.

In practice: he pulls engagement rates, reach numbers, follower growth, click-through rates, and conversion data from Instagram, TikTok, LinkedIn, YouTube, and X. He compares week against week, format against format, platform against platform. When a post performs unusually well or badly, he flags it — with a hypothesis for why.

Weekly report. Anomaly alert in 2 hours.

Daniel delivers a weekly performance report to Nadja and Natascha. Every report includes: the week's top 3 posts, underperformers, a format-mix analysis, and a recommendation for the following week. Not a 40-page PDF — a one-pager with the numbers that matter.

His anomaly detection runs continuously: when engagement rate suddenly drops, when a post goes viral, when a channel is clearly above or below average, an alert comes in. Not as an alarm — as context with data.

He works directly under Nadja and coordinates with Anna (who feeds him posting data) and Natascha (who builds his recommendations into the content calendar). Daniel's numbers aren't an end in themselves — they determine what runs differently next week.

Data you actually need.

5 channels under real-time monitoring. Weekly report with top 3 posts, underperformers, and format recommendations. Anomaly alerts within 2 hours. Daniel delivers the foundation for decisions — not gut feeling.

~4 hours back per week — real-time monitoring, weekly report and anomaly alerts, instead of manual analysis.

Works together with