Key parameters for sales department analytics:
Reliability
The main task of the analytical department is to build an objective and truthful picture to detect weaknesses, identify the causes of failures and correct errors. It is necessary to use the data obtained during the analysis of each stage of the sales funnel.
There is no need to artificially adjust sales stages or create a new funnel. Any means aimed at improving reporting will not provide practical benefits.
Availability
The sales department report should be understandable not only to the business owner and senior managers, but also to all company employees.
The number of applications received, the number processed and lost should be clearly indicated. It is important to note the number that reached the key stages of the sales funnel, as well as the number that ended with the signing of contracts.
Thus, N transactions were concluded, and at each stage the conversion was CR. The first channel received X applications, the second - Y, the third - Z. Let's stop there. There is no need to complicate the report with additional coefficients or formulas for calculating the impact of exchange rate changes on profit.
Modernity and relevance
Current analytics are vital, covering the current period for analysis. This allows sales professionals to instantly respond to new challenges and adjust strategies in real time.
Sales analytics should not only russia email list collect and process data, but also analyze and interpret it in depth. This helps managers recognize trends and patterns, identify problem areas and opportunities, and develop strategic solutions to improve results.
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Alexander Kuleshov
Alexander Kuleshov
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Step-by-step collection and analysis of sales data
A key aspect of running a successful business is the ability to analyze sales data. This allows you to identify the most popular products or services, track changes in consumer preferences, and assess the impact of seasonal factors, advertising campaigns, and promotional offers on sales volumes.
Step 1: Collect data
The first step in analytical work is collecting data. The larger the information base, the more accurate the analysis can be.
Step 1: Data Collection
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It is possible to collect statistics like this:
sales information, which shows the number of transactions, average purchase price, total revenue and profit;
information about specific products or their categories;
performance reports for each department or manager;
sales data in different regions (geographic distribution);
Reviews and feedback from customers.
Data collection can be done at different frequencies, such as monthly, quarterly or annually.
Sales Analytics Requirements
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