The main functional capabilities of the platform:
Analysis of brands, suppliers and keywords.
API analysis.
A tool for setting prices email lists uk with calculation of optimal discounts.
Product card editor and SEO optimization.
Advanced financial analysis features.
Research of positions and calculation of deliveries.
Analysis of market niches and trends.
Ransom calculator.
UNIT Economics Calculator.
Directory of codes of commodity nomenclature of foreign economic activity.
Trial period: free access to the platform.
The cost varies depending on the use of individual tools. For example, analytics via API for Wildberries costs from 49 rubles per day, price and card editors — 19 rubles per day, and trend analysis will cost 490 rubles per report.
The platform also allows you to analyze positions on Ozon for free and use a browser plugin to work with Wildberries.
"Yandex.Market Analytics"
Trading platforms : total coverage of e-commerce.
A built-in analytics system is available in the personal account of sellers on Yandex.Market. However, the creators of the Yandex.Market Analytics tool claim that their service covers data on the entire e-commerce industry, and is not limited to just one marketplace.
"Yandex.Market Analytics"
Source: shutterstock.com
Yandex.Market has developed a library containing numerous product cards with detailed descriptions. This library provides the ability to analyze various product categories on the platform.
The tool is designed to collect analytical data across the entire e-commerce industry.
To connect: the sales analytics service is free, but the entrepreneur must submit an application and start transmitting sales data in CSV format, via Yandex.Metrica or Google Analytics. All transmitted data will be anonymized.
After submitting the application and transferring the data, the user will have access to a personal account, where they can analyze market statistics. The amount of information depends on the level of sales in the relevant categories.
Sellers will not have access to competitors' data, but manufacturers will be able to analyze the activities of other brands.
Download a useful document on the topic:
Checklist: How to Achieve Your Goals in Negotiations with Clients
Frequently Asked Questions About Sales Analytics
The process of sales data analysis is the collection, processing and interpretation of information aimed at obtaining valuable insights into the organization's activities. These insights help make informed decisions to optimize business processes.
What does sales analytics provide?
Sales analytics provides a wide range of opportunities:
Customer profiling: helps identify what products customers have purchased previously and what they prefer.
Analysis of product range: allows you to determine the most popular product categories.
Evaluating seasonal factors: helps you see when product A is most in demand, when product B is most in demand, and how sales vary across different time frames such as days, days of the week, and months.
Determining marginality: allows you to identify the most profitable products for sale.
Price response forecasting: Allows you to predict the impact of a 10% or 20% price increase on sales volumes.
Who and how makes the sale: which seller or store provides the greatest revenue. What discounts and bonuses make the sale of goods more profitable or, conversely, less profitable.
Who is responsible for sales analytics in the company?
Trade Marketer . Trade marketing specialists are often tasked with creating reports. When selecting a candidate for this position, it is important to consider their skills and experience in sales analysis.
Commercial Director . He is also responsible for sales growth. In small companies, it is worth considering the possibility of attracting such a specialist on an outsourcing basis.
A professional buyer is needed to ensure the success of a trading enterprise. All these professionals need to rely on accurate data from analytical sales reports.
What reports need to be prepared?
Sales analytics reports are based on two fundamental approaches: functional and structural.
The functional approach allows you to see a holistic picture of the current business processes in the company, while the structural approach focuses the analysis on individual divisions of the company.
For analysis to be effective, it is important to properly organize and structure the data. Specialized tools for transaction monitoring, customer segmentation, and performance evaluation are especially useful here.