[Flow Classic] Traffic Simulator

This article describes Flow Classic, the previous version of Flow. Some screens and features may differ from the new app.

How many customers need to visit the store to achieve the sales target...

To maximize sales, is it necessary to attract more customers or improve in-store services?

With this feature, it is possible to calculate realistic sales targets and customer visit targets from past KPIs.

Method for Calculating Target Customer Visits

Click on [Tool] or [Customer Visit Calculation] at the top right of the home page.

• Select Store

  Select the store for which you want to calculate the customer visit target.

  ※ Even if you select multiple stores, the customer visit target for each store will be calculated from past data for each store.

• Select Period

  Select the period for which you want to calculate the customer visit target from the options or freely from the calendar.

  • Today

  • Tomorrow

  • This Week

  • Next Week

  • This Month

  • Next Month

  • This Year

  • Next Year

    ※ As of June 2024, it is fixed to the next month period.

• Enter Sales Target

  If the sales target data for the target period has already been imported, the data for the target period will be automatically entered. If you want to change it, you can manually enter it.
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Calculation Overview

Based on the data from the previous period of the selected period, the target number of visitors is calculated.

Example: Selected period May 1, 2024 ~ May 31, 2024 (Comparison period March 27, 2024 ~ April 26, 2024) *Previous period setting

The number of purchases and purchase rate are automatically displayed based on the data from the comparison period.

The average spending per customer during the comparison period is incorporated into the calculation formula.

*Custom settings are under development

Usage Method

Case 1: Calculate the target number of visitors from the sales target

Based on past trend data, the target number of visitors for each store is calculated, making the target setting for each store more detailed.

It becomes possible to substantiate whether the sales target for each store is a realistic figure.

Case2: Calculate Predicted Sales from Predicted Number of Customers

If you have the predicted number of customers, you can adjust the sales target to match the predicted number of customers based on the purchase rate and average spending per customer during the comparison period, and calculate the predicted sales.

Example: The same number of customers as the comparison period is expected

Purchase rate (6.74%) Number of purchases (19,688) Average spending per customer (¥4,063)

The sales forecast is expected to land at ¥80,000,000.