The core aspect of online commerce is the data that the website visitor leaves behind. Page openings and interactions registered during online shopping show movements, attentions, and interests, which as KPI (Key Performance Indicator) form the data basis about what the visitor or the potential customer is seeking. People Counting provides offline visitor insights for businesses across different industries.
What Are Potential Customers Looking For
For example, if someone looks at certain table lamps or jeans, these items will accompany the consumer in different variations through the subsequent online foray. Website visits show product views as well as canceled and abandoned purchases. Online retailers thus objectively find out what each potential customer is most likely to buy at the moment they visit the website. Reporting on an hourly, daily, weekly, and monthly basis help improve comprehension and offerings instantly.
But what if you had this data in the stationery business, offline, in a retail climate? Well, this solution already exists. It is called footfall analytics, visitor frequency measurement, or simply people counting and shows the performance of physical activities by measuring visitor engagement.
Why Should Retail Use Footfall Analytics
Store managers, live event organizers, or museum curators need to know how many purchasing opportunities exist and how many are missing. A clear understanding of this data helps target peak hours, converts browsers into customers, and optimizes store performance. Footfall analytics provides the ability to capture, inspect and display footfall or visitor numbers digitally and in real-time, so retailers can present their merchandise or offerings in a more in-store sales-friendly way to achieve sales and upsells. The footfall data analysis insights can also detect exact visitor numbers and changes in customer behavior, leading to improving existing staffing plans, which enhances the customer experience.
Customers Like Brick-And-Mortar Shopping
Online retail and brick-and-mortar sales channels coexist and grow very well today. Customers value the ability to physically interact with an item before buying, especially personal goods such as clothes, cosmetics, furniture, or groceries. Additionally, immediate buying without shipping, direct advice from the seller, and avoiding the hassle of returning unwanted items or handling warranties are time-related advantages. What is lacking here is the perception of what shoppers need, search for and how they behave: the online retail key data.
Understanding The Retail Key Data
Key data includes the total number of people entering a location, underperforming stores, engagement rates, average dwell time, and peak hours. In the context of retail customer analytics, the data reveals the customer's movement within a store and the performance within defined zones.
But, retailers can not get much value from footfall analytics without context. Therefore, the data collected focuses on comparison and conversion rates, which provide answers to more relevant questions, such as: What percentage of store visitors enter a particular area? How effective was the marketing effort? Which rate of pedestrians visited my store? Getting this data brings the brick-and-mortar sales channels an additional push they need to become relevant in the future of omnichannel retail – 'bricks and clicks' – the best of both worlds.
Online KPI For A Brick-And-Mortar Store
In the offline world, there are analytics tools similar to online performance - Xovis high precision footfall counting goes well beyond simple people counting and can provide businesses across industries with relevant customer information, enabling them to optimize operations, increase revenue, and improve customer experience. This helps shape omnichannel retailing; a physical presence allows businesses to humanize their brand identity and give customers memorable shopping experiences, all while maintaining the value and convenience of online platforms.
Tags: | footfall | retail | people counting | brick-and-mortar | traffic counter |