Key knowledge areas to provide businesses with innovative and profitable recommendations
In Digital Marketing, automating processes and performing analytics is crucial to reduce acquisition costs and increase awareness. Without automation, work becomes time-consuming and fragmented across Excel tables. Python helps scrape competitor websites, build chatbots, interact with APIs, generate business reports, and manipulate Excel or Google Sheets in real time.
SQL (Structured Query Language) is simpler than it looks and a powerful tool for handling data. With queries like SELECT metric FROM table WHERE condition GROUP BY dimension, you can efficiently import and analyze large datasets from databases. SQL enables better decision-making by transforming raw data into insights.
Clients need clear, real-time results—not just raw numbers. Tools like Power BI, Tableau, and Looker Studio help transform data into dashboards and reports. These visuals highlight trends, reveal when things go wrong, and track key metrics such as CPA over time to support better strategic decisions.
Campaign A may outperform Campaign B in clicks and CPA, but does that mean B should be shut down? Without understanding normal distribution, dispersion, and confidence intervals, A/B testing can lead to incorrect conclusions. Statistical knowledge ensures decisions are based on evidence, not chance.