the global market was valued at USD 84.94 billion in 2023, growing at a CAGR of about 14.02% during the forecast period

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the global market was valued at USD 84.94 billion in 2023, growing at a CAGR of about 14.02% during the forecast period from 2024-2032 to reach USD XX billion by 2032.

Experiential retail market leader, RetailNext, has been instrumental in using technology and analytics to enhance purchasing experiences worldwide. As a market leader in shopper analytics, RetailNext improves the shopper journey by delivering engaging, relevant, and evidence-based retail environments. According to the UnivDatos Market Insights, as per their “Experiential Retail Market” report, the global market was valued at USD 84.94 billion in 2023, growing at a CAGR of about 14.02% during the forecast period from 2024-2032 to reach USD XX billion by 2032.

Access sample report (including graphs, charts, and figures): https://univdatos.com/get-a-free-sample-form-php/?product_id=67946

Technological Innovations in Experiential Retail

By emphasizing digital insights to inform consumer experiences and store layouts, RetailNext has helped the brands to design engaging environments for consumers inside brick-and-mortar stores. The web service gathers information about customers’ actions, traffic and shopping pattern therefore helping the brands to best position the layout of their stores, marketing strategies and staffing levels. This leads to one-on-one communication and enhanced business productivity and in turn makes the shopping experience more interactive.

·        In September 2022, Catch Co., the fishing brand, content, and commerce platform, announced today its partnership with RetailNext, the data-analytics solution for physical retailers to help accelerate its newest venture in experiential in-person shopping, and mission control for marketing, merchandising, and retail. Using the second most technologically advanced AI-based models, Traffic 2.0 and Aurora offered by RetailNext, Catch Co. can gain deeper behavioral data to rearrange the human capital as necessary, to identify issues, and to create the best, unforgettable shopping experiences for every single client.

The in-store analytics of RetailNext has been deployed by various brands including Adore Me and Estée Lauder which enabled various real-time changes in store operations. Such an approach helped retailers to experiment with store formats and to apply the marketing concepts, which made the shopping experience in every step as effective as possible.

·        In January 2022, the beauty company, DECIEM which owns good beauty brands such as NIOD, Hylamide, and The Ordinary, recently chose RetailNext to monitor and evaluate the customers’ interactions with its products in physical stores for performance enhancement in 2022.

Over 400 retail chains in more than 90 countries uses RetailNext’s analytics software and experts to map all aspects of the shopper journey in order to achieve same-store sales growth, manage risks and cut costs.

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Shaping the Experiential Retail Landscape

RetailNext has not only enabled transition to the concept of experiential retail and breaking with traditional habits but through its successful examples has demonstrated how to broaden the client base and improve the interaction process using digital technologies. Different technologies like AI recommendation systems, real-time analytics, and IoT enable retailers to provide far more exciting and engaging shopping experiences. The firm’s analytics tool is currently in use by over 400 brands in more than 90 countries, greatly influencing the retail sector.

Click here to view the Report Description & TOC- https://univdatos.com/report/experiential-retail-market/

Experiential retail is therefore characterized as the expertise of RetailNext, which utilizes technology to merge physical and digital touchpoints. RetailNext builds successful and dynamic experiences based on deep customer understanding and enables retailers to make the lives of shoppers better globally across the globe of experiential shopping.

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