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2024 changes to 2025, and in-store personalization in retail is transforming the way brick-and-mortar stores compete in a rapidly evolving landscape. The continued rise of ecommerce—driven by innovations in technology, data analytics, and mobile accessibility—has set new standards for convenience, personalization, and value. Meanwhile, brick-and-mortar stores are no longer simply competing with online platforms; they are reimagining their role in a world where seamless, personalized experiences are the norm.
Personalization is no longer just an option; it’s a necessity for brick-and-mortar retailers aiming to stay competitive. By collecting and analyzing in-store and omnichannel data, retailers can create tailored experiences that delight customers, boost engagement, and drive revenue.
This guide outlines the top strategies and technologies shaping in-store personalization in 2025, helping retailers redefine the customer experience and stay ahead.
According to a report by Epsilon, 82% of respondents say they view a brand positively when they advertise a product that a person needs. This shows that retail personalization is a great way to convert a first-time customer into a returning customer and win their loyalty. Moreover, customers who shop online are used to this level of personalization and they expect a similar experience in a real-world situation as well.
A one-to-one retail experience is essential for retail personalization strategies. The key is to know enough about your customer’s information in the three tenses – past, present, and future.
In this manner, in-store personalization becomes a key part of the omnichannel strategy and omnichannel retailers will need to make the connection between a customer’s online experience and their offline journey through the brick and mortar store.
Customers prefer to be acknowledged in-store rather than via digital channels, an insight a Medallion Retail report points out. While ecommerce companies may have access to a vast database of user information, it is entirely possible that a user can get irked by an ad that feels too personal or invasive. In this way, in-store personalization is a good way to make a human connection with your customer and make them feel cared for.
It is important to train your staff in such a way that they are well equipped to handle your customers’ needs. In this way, in-store personalization sets the stage for an offline business’ omni-channel marketing success. It is the final step that works in collaboration with other steps such as loyalty programs and online shopping options in order to make the omnichannel marketing program a successful one.
From a brand’s point of view, in-store personalization can bring tangible results to a business in terms of higher customer engagement and conversion. A report by Infosys states that 59% of consumers who have experienced personalization believe it has a noticeable influence on purchasing decisions. The same report also states that a whopping majority of 92% of the consumers who are in a store, look to discover new products and are open to making impulse purchases even if it’s not on the agenda. In fact, consumers are three times more likely to make an impulse buy in-store rather than while shopping online.
Access to data such as email IDs and brand preferences enable a business to tailor marketing efforts to suit their customers tastes. Beyond the marketing messages themselves, knowing what a consumer prefers enables a marketer to speak in the same language as the consumer – making the marketing exchange conversational and more personalized.
It is much more economical for a business to retain an existing customer than to acquire a new one. Taking the efforts to personalize the retail experience for a customer increases the chances of an incidental customer becoming a returning customer who is eventually loyal to your business and your brand. The end goal of a marketer is customer retention. Personalization is a powerful way of building upon the relationship that a customer has with a business and it contributes towards retention efforts in the long run.
Knowing a customer’s preferences enables a brand to create content that resonates with its customers. For example, if a marketer has the knowledge that their target audience likes science fiction, then it becomes easier to create content in such a way that the target audience finds it engaging. Smart offline retailers are also using these digital data to further personalize the in-store experience for their customers.
Customers are more likely to associate with a brand and turn into returning customers if they interact with the brand both online and offline. 89% of buyers surveyed in the Infosys survey admitted that interacting with brands has some impact on their purchasing habits. Traditional retailers who are able to connect the online personas of their customers (e.g. – across social media, website, and app) with in-store browsing behavior will be in a position to offer hyper-personalized engagement across offline and online channels.
We live in a world that’s densely populated with screens. In such a situation, there tends to be an information overload from brands who are trying to make their digital presence felt. When this is the case, brick and mortar retail stores have the advantage of getting the customer’s full and undivided attention in the store.
The major advantages that brick and mortar stores enjoy over their online peers are tactile experience, human interaction and higher Average Order Values (AOV). To stay ahead and be relevant, retail stores will need to understand how to leverage each of these strengths.
Of these, higher Order Values is something that can be greatly enhanced through personalized recommendations based on the customer’s previous purchases and in-store behavior data collected through movement, dwell time and voice/sentiment analysis.
Once you have a pulse on your customer’s preferences, tastes, and requirements, then you will be better placed to accurately deliver what they require. Knowing exactly what your customers need also puts you in a position to deliver marketing messages of utility that they do not ignore. A retailer can also extensively use technology in order to create a personalized experience for the customer. The store can equip itself with augmented reality technology so that the customers can try on items in real time.
With Capillary’s AI-powered Insights+, brands can aggregate data seamlessly from across channels – online, in-store, and 3rd party sources. And get valuable, actionable insights which can empower your business to optimize store inventory and predict customer preferences in order to maximize sales and conversions.
It is important that your sales staff is equipped to create a personalized in-store experience for your customers. Insights+ can help you optimize staff strength and set conversion goals based on store data. In-depth analytics can also be used to schedule staff breaks and store maintenance at the ideal time in order to prevent losses and loss in sales.
Starbucks has a robust loyalty program that is personalized according to the users preferences and serves his needs. The loyalty program also comes with perks such as personalized offers for customers using the app and a free beverage on their birthday. Starbucks has access to customer data thanks to its loyalty app. People are comfortable sharing their data via the app as they are aware of the kind of rewards it can yield. It’s a win-win situation for the business and for the customers.
Even though Macy’s is a department store that was first opened in 1858, they have quickly adapted their retail strategy to suit the digital age. Macy’s extensively uses big data to offer a smarter customer experience. They analyze multiple data points such as stock levels and price promotions. The analysis of these data points are further combined with stock keeping unit data for particular products at particular locations. Macy’s also closely studies customer data to ascertain which products sell well at which store location. They also study how frequently a customer visits a store and what style they purchase. This ensures that the products that they have in their stores suit the customer’s buying habits in each location. Using this data, Macy’s even offers incentives at the point of sale in addition to loyalty points and promotions. The data they collect also enable them to send directly targeted mail to their customers, hence enabling them to boost conversions.
When you are a Target customer, you will be assigned a guest ID number after you interact with the brand for the first time. That ID is used to store data that is related to customer demographics. This ranges from ethnicity to job history and it is used to track buying behavior. Target realized that their consumer’s buying patterns remained largely unchanged unless a big event happens in their life – such as pregnancy. Target found that it could ascertain which of its customers were in their early stages of expecting a baby when they purchased things that they never previously considered – such as diaper bags or cocoa butter lotion. Once Target could ascertain those behaviors, it enabled them to provide their customers with special deals on baby-related items that were personalized and tailor-made to suit their requirements.
At a time when mall-based retailers are struggling to maintain numbers due to reduced footfalls, Abercrombie & Fitch is investing in their digital capabilities in order to ensure that they capture the millennial market. Abercrombie & Fitch are well known for their personalized email communications and their loyalty program. The retailer personalizes e-mails communications with the help of in-store and online data about styles and brands that the customers prefer and use. The retailer also encourages shoppers to use their mobile app and rewards their loyalty with loyalty points and other benefits.
Advancements in artificial intelligence, machine learning, and big data are poised to revolutionize the retail sector, particularly in personalization and the in-store customer experience. Retailers will likely be able to harness advanced computer vision technologies to analyze customer profiles as they enter the store. Additionally, voice analysis, emotional state detection, and facial recognition could allow for real-time insights. Creating more tailored and engaging shopping experiences by helping businesses predict purchase likelihood and assess the probability of return visits.
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“Information will be the basis of competitive advantage so