AI powered customer profiling to boost your sales & enhance customer experience
An overview on how AI powered customer profiling boost your overall in-store sales and provide better customer experience.
Businesses are constantly looking for ways to improve the efficiency of their brand positioning and marketing strategies. In today’s digital world, consumers have become much more demanding in their expectations. Brands can no longer get away with blanket messaging that caters to the masses. They are expected to roll out personalized communication that speaks to each customer personally.
A few decades ago, companies would consider this level of personalization to be an impossible feat. However, the advent of artificial intelligence has eliminated the need for guesswork by providing in-depth data that can be used to create unique customer profiles.
What is a customer profile?
A customer profile is a model or outline of a group of customers who share common traits. These profiles can contain extensive information about your customers including their demographics, preferences, expectations, behaviour, etc. Using customer profiles, brands can easily identify, segment and define their target audience.
What are the benefits?
By developing a customer profile, businesses can analyze transactional data and detect patterns and correlations in the customer behaviour according to the segment they belong to. The key benefits of customer profiling are,
- Establish personalized communication with your customers
- Get better response rates from customer outreach programs
- Enhance customer experience and customer loyalty
- Acquire new customers based on best performing profiles
- Efficient resource allocation and customer engagements
Simply analyzing and monitoring the in-store customer traffic doesn’t guarantee that your sales would keep getting better. This is just the primary step to launch successful personalized marketing campaigns. Moreover, it provides you a clear understanding of the customer behaviors, demands, product assortments in the store, customer peak time and customer grievances. Each one of these factors greatly determines the success of your store in the marketplace.
Have a look at how in-store customer analytics solutions accelerates your retail growth:
What is AI powered customer profiling?
AI powered customer profiling can help businesses to automate the customer profiling process. Manually analyzing and consolidating the data can be extremely time consuming and inefficient. AI powered solutions now make it easy for businesses to perform automated customer profiling in online as well as offline channels. In online channels, it is easier to collect the data of the user via form submissions, browser signatures, cookies, behavior in websites etc. All this data can be consolidated into a single pool of data, which can be used to train machine learning algorithms to identify customer profiles. But when it comes to offline channels, businesses are not sure how to collect these data from a customer without bothering them.
AI powered customer profiling in offline stores
To perform customer profiling for in-store customers, businesses need to collect a lot of data from the walk-in customers. Manually collecting this data is a near impossible task.
So how can AI help?
AI powered real time video analytics solutions such as Emotyx can enable CCTV cameras to observe the walk-in customers to collect a load of data from them. Gender, ethnicity, age, dressing style, travel patterns, affinity towards different products, purchase pattern, etc can be tracked using CCTV cameras. Emotyx can even detect emotions of customers and create in-depth customer profiles, generate heat maps to identify popular sections of the store and much more. By using such solutions, businesses can access in-depth insights into customer demographics and behaviour in real time.
Benefits of AI powered customer profiling solutions
Using artificial intelligence solutions to create customer profiles is much superior to traditional manual segmentation for the following reasons:
- Removal of human bias
- Finds hidden patterns in data that a human marketer may be unable to spot
- Automatic updating of segments in a rapidly changing market
- Unlimited number and size of segments
- Enables a higher level of personalization
- Needs little maintenance or human intervention
To get a better understanding of this topic, this article would be very much helpful for you:
