Marketing analytics
3. Data Analysis
At this stage, the data is transformed into useful information. The following methods are used:
Descriptive analysis to assess the current situation (for example, the number of clicks or sales);
Diagnostic analysis to identify the causes of results or failures;
Predictive analysis to model future outcomes.
Useful block:
Use heatmaps to understand italy phone number list which elements of your site users pay most attention to. Services like Hotjar or Crazy Egg can help you visualize visitor behavior.
4. Decision making
Based on the findings of the analysis, specific actions are developed. For example, if the data shows that a certain channel is ineffective, the budget is reallocated to more productive areas.
Example:
If your email newsletters are showing high open rates but low CTR (Click-Through Rate), you should review the content of your emails, perhaps adding a call to action or improving the design.
5. Monitoring and adjustment
Marketing analytics is an ongoing process. Once changes are implemented, it is important to monitor their results and adjust the strategy as needed.
Marketing analytics
1. Web analytics tools
Google Analytics. A universal tool for tracking traffic and user behavior on a website.
Yandex.Metrica. Suitable for analyzing the Russian audience segment.
Essential Marketing Analytics Tools
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