Data analysis involves not just collecting numbers but also interpreting what they mean for your campaign. Hereâs how you can do it:
1. Identify Trends: Look for patterns in your data. For example, if you notice that emails sent on Tuesdays have a higher open rate, you might want to schedule more emails for that day. 2. Compare Campaigns: Analyze past campaigns to see which ones performed best. Identify the common elements that contributed to their success. 3. Use Benchmarks: Compare your metrics against industry benchmarks to see how you stack up. This can help you set realistic goals and identify areas for improvement.