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The number of sales: this number can be monitored daily, weekly or monthly for example, depending on your reporting frequency ). The cart abandonment rate: products placed in a cart by a customer and which were ultimately not purchased. Average order value: the average amount of orders placed on your site. The return and refund rate: if your sales are high, but they give rise to numerous complaints, this will directly impact your turnover. It may be tempting to track as many KPIs as possible to collect as much data as possible, but this is not the best strategy. It is essential to identify those that are truly relevant for a given situation, then focus on them to make them evolve. Otherwise, you risk obtaining confusing reports: it will then be difficult to establish clear strategic directions.
To track and collect the information given by these KPIs, you must rely Korea Phone Number Data on several sources, such as accounting software, Google Analytics or even a CRM tool (customer relationship management software) . Google Analytics will, for example, be very useful for analyzing the KPIs of your e-commerce site (frequency, most visited pages, etc.). If you want to analyze your performance on social networks, you can also consult by these companies, such as Facebook Analytics. Analytics Dashboard Determine update frequency The right update frequency can be difficult to establish. To find it, ask yourself over what average period the results are likely to be meaningful. When will the observed performance enable you to act? For example, your website may show peak sales during certain periods, such as weekends .

In this case, it will be interesting to see the evolution of these peaks over several weeks or months, rather than simply analyzing your performance weekly. Conversely, a marketing campaign on social networks can provide immediate responses, since you see the performance of sponsored publications live (number of likes, shares or comments). It will therefore be interesting to monitor performance closely to find out whether it has achieved the expected objectives or not. Another example: if you opt for a marketing campaign involving various partners, the data may take longer to collect, so it will not be relevant to generate frequent reports .
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