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Conversion Rate Optimization and the related objectives of optimizing the conversion rate of visitors to transform them into customers or leads, relying on qualitative and quantitative data. What tools should you rely on? First of all on the User Experience for the analysis of navigation data but also on the principles of persuasion connected to data driven marketing . In light of its developments, CRO is important because it puts consumer behavior under observation from the moment they express a need, continuing with the analysis of the interactions carried out up to the destination platform and the subsequent conversion. You might be interested in "Data Monitoring what it is and why it is important for your company" Conversion Rate Optimization in agile version Conversion Rate Optimization in agile version Marketing managers face the need to optimize time and resources.

To do this, the most organized companies are developing what is called Agile photo editing servies CRO in order to develop projects over short periods around weeks . Agile CRO represents an innovative and creative approach based on design thinking. The foundation of this methodology is based on a rapid learning cycle, which involves creating prototypes, measuring performance, analyzing data and making quick decisions. The focus is on optimizing conversion rates as well as increasing traffic or click through rates. To obtain satisfactory results it is necessary to take into consideration both qualitative and quantitative data, combined with strong empathy towards the consumer.



Furthermore, thanks to the Agile method, it is possible to divide each project into multiple scalable tasks, progressively improving the User Experience of the pages, and then analyzing the funnel. You might be interested in "Machine Learning and Marketing Automation a winning combination for Data Driven Marketing" The fundamentals of CRO The optimization process is based on five key themes priorities and goals, simplicity, high performing teams, sprints and monitoring. The use of this model has significantly reduced the abuse of A B tests. To achieve the best results it is necessary to fully understand the problems and think by priority.