First, we need to identify the problem and determine what insights we aim to uncover from the data. Next, we construct a proper hypothesis. If the hypothesis is not well-defined, we risk wasting significant time and resources without achieving meaningful results.
After establishing the hypothesis, we examine the data and identify the next steps to improve outcomes. A critical part of this process is identifying the main KPI (Key Performance Indicator) and aligning it with marketing objectives. During this process, marketing actions include advertising, CRM, website UI improvements, and promotional events.
Finally, we analyze performance data and incorporate feedback to refine our approach and enhance results. We should leverage the feedback from data marketing as an asset, as it helps us build the foundation for future campaigns.
