Understanding your Detailed analytics Reports.
Hike POS offers a comprehensive analytics report that provides valuable insights into various aspects of your retail business. Here are some key aspects of the detailed analytics report in Hike POS:
You can access Detailed Analytics report under Reporting section in Hike.
On the main page, you will be able to make selection base on your Reporting requirement.
Report Types-
This option allows you to select base point of the report. These are the options for the Report type.
This option allows you to select base point of the report. These are the options for the Report type.
Sales Summary.
User.
Outlet.
Register.
Customer.
Customer Group (Tiers).
Product.
Brand.
Supplier.
Product Type.
Tag.
Measures-
The measure is the second section of the report based on the Report type. For example, if you selected Sales summery in Report Type and Gross profit on the Measures, you will be able to see the report base on Sales Summery and Gross profit for the selected time period.
The measure is the second section of the report based on the Report type. For example, if you selected Sales summery in Report Type and Gross profit on the Measures, you will be able to see the report base on Sales Summery and Gross profit for the selected time period.
These are the options for the Measures.
Basket Size.
Basket Value.
Basket Value (tax included).
Cost of Goods.
Customer Count.
Discount.
Discount %.
Gross profit.
Items Sold.
Last sale.
Margin.
Return%
Return Count.
Revenue.
Revenue (tax included).
Sales with customer%.
Tax.
Transaction count.
First sale.
Discount offers.
No Transactions.
Understand Types of Measures.
Basket Size.
It measures the number of products sold in a single Sale or transaction, to calculate the average basket size, divide the total number of items sold by the number of transactions. This metric helps to track their overall performance.
Basket Value.
Basket Value is the average amount spent by shoppers in one transaction, This is calculated by dividing the total value of all transactions by the number of transactions or sales. It can be calculated on a daily, monthly, or annual basis.
Basket Value (tax included).
It will calculate the basket value including tax.
Cost of Goods.
It helps you to get the total cost of goods.
Customer Count.
It gives you the number of customers counts.
Discount.
It calculates and provides the amount of discount given.
Discount %.
It calculates the percent of the discount given.
Gross profit.
It provides you with the Gross profit for the products and sales.
Items Sold.
It provides you with the count of items sold.
Last sale.
It provides you with the details of the last transaction done.
Margin.
It helps you to get a margin for sales and customers.
Return%
If any items are returned it will provide the percentage of items returned.
Return Count.
If any items are returned it will provide the counts of items returned.
Revenue.
It provides you with the Revenue amount on total sales.
Revenue (tax included).
It provides you with the Revenue amount including tax on total sales.
Sales with customer%.
It provides you with the percentage of sales done with customers of walk-ins.
Tax.
It provides you with the amount of tax charged.
Transaction count.
It provides you with a number of transactions done.
First sale.
It helps you to find the first sale done in that time period for a particular product, customer, or register.
Discount offers.
It provides you with an amount that is calculated according to discount offers running in your store.
No Transactions.
It provides you with the report in which there are no transactions during the selected date range. For example, if you have selected "Product" under Report type and selected "No Transactions" under Measure for last month, then the system will show you the report of those products that are not sold during last month. In the same way, if you have selected "Customer" under Report type and selected "No Transactions" under Measure for last month, then the system will show you the report of those customers who have not purchased anything during last month.
Comparison Type:
Comparison Type:
This option will allow you to compare your report with the same reporting period for the past year or the selected (Custom) time period. This will allow users to compare the date and plan for the future.
Show/Hide Filters.
You can filter these report based on Product name, User, outlet, register, customer, customer group (tiers), brand, supplier, product type, tag when applicable.
You can filter these report based on Product name, User, outlet, register, customer, customer group (tiers), brand, supplier, product type, tag when applicable.
Export
You can export the same report in Excel, if data is low it will get directly downloaded, and if it's more it will get e-mailed on your user e-mail address.
There are many combinations of the Report Type and Measures based on your requirement but we will take one such example for your understanding.
Let's take, Report Type: Customer, Measure: No transaction
There are many combinations of the Report Type and Measures based on your requirement but we will take one such example for your understanding.
Let's take, Report Type: Customer, Measure: No transaction
We have selected 4 weeks time period for this report; hence, this data will give us all the customers with No Transaction in past 4 weeks. With this report, you can check Customer name, Phone number, Email and Customer code for each customer with No transaction.
You can download this report in Excel file and contact all these customers directly for marketing email or promotion code.
Moreover, you will find the details about the Loyalty points into the Excel file of the report. The excel report for Customers will look like below screenshot.
From here, you can take the Red highlighted section of the excel file, remove all other details from the excel file and use this to update/change the Loyalty points for your customers. For example, if you wish to make Loyalty points zero for all these customers, who did not make any sale within the store for past year, you just change the Current Loyalty balance column to Zero and import the file with those 6 sections. The loyalty balance for these customers will be zero.
You can download this report in Excel file and contact all these customers directly for marketing email or promotion code.
Moreover, you will find the details about the Loyalty points into the Excel file of the report. The excel report for Customers will look like below screenshot.
From here, you can take the Red highlighted section of the excel file, remove all other details from the excel file and use this to update/change the Loyalty points for your customers. For example, if you wish to make Loyalty points zero for all these customers, who did not make any sale within the store for past year, you just change the Current Loyalty balance column to Zero and import the file with those 6 sections. The loyalty balance for these customers will be zero.
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