Understanding consumers’ expectations and product usage patterns allow for the opportunity to enrich the revenue enhancement throughout the entire business process. Essentially, consumers’ experiences on products and services are dependent on an organization’s ability to fully engage consumers in and allow them to co-create the experience. Thus, the content recommendation engine solutions are widely accepted create the desired brand identity, specify marketing objectives with the target audiences and the brand positioning in mind, communicate ideal brand identity and for other purposes. Therefore the growing trend towards online e-commerce, and other activities the further provide opportunity to the companies for improving their customer experience and provide related and content through content recommendation engine.
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The growing trend for a better understanding of the customer as the customer engagement strategy further propels the demand for content recommendation engine in various industries such as retail & e-commerce. IT & telecom and BFSI. The content recommendation engine solutions are essential part of these industries as these solutions offer focus on providing related content to partcular products or solutions. The content recommendation engine becomes increasingly important to enterprises for providing content about products, services as per the customer requirements. Understanding and analysing the customer searching data through content recommendation engine provides a company or organization with key insights regarding the intricate needs, those obvious and latent, of their customers, as well as how to fulfil those requirements. Customer insight enables a company to position a product with the right features, appeal, communications, and customer interface that is the essential factor for the growth of the company.
Significant adoption of content recommendation engine in retail & e-commerce industry
The content recommendation engine is prominently adopted by the retail industry. This industry contributes to a significant market share in the content recommendation market. Increasing the organized retail and e-commerce industry is one of the major factors which is contributing to the market. Retailers invest significantly in promotions and marketing solutions to attract consumers and leverage sales. To survive in the competitive retail landscape, businesses require new innovative approaches to set up an edge over their competitors. Better customer experience is an essential need in the retail sector to build a long-term relationship with the customer. Owing to ever-changing customer choice and habits, retailers require a fast feedback loop mechanism to be at the pace with the market. Therefore, retail companies use various digital solution to gather and analyze data from a range of structured and unstructured sources, with complete integration capabilities for current customer relationship management. Therefore the growing trend towards customer experience management in retail & e-commerce further propels the demand of content recommendation engine in the industry.
Global content recommendation engine Market Segmentation
By Product Type
- Solution
- Services
By Industry
- BFSI
- Retail & E-Commerce
- Media & Entertainment
- Hospitality
- IT & Telecom
- Others (Healthcare and Education)
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Content Recommendation Engine Market– Segment by Region
North America
- United States
- Canada
Europe
- Germany
- United Kingdom
- France
- Spain
- Italy
- Rest of Europe
Asia-Pacific
- China
- Japan
- India
- Rest of Asia-Pacific
Rest of the World
- Middle East & Africa
- Latin America
Company Profiles
- Amazon Web Services, Inc.
- Cxense ASA
- Curata, Inc.
- Certona Corp
- Dynamic Yield
- Flyp Technologies Inc.
- IBM Corp.
- Kibo Software, Inc.
- Muvi LLC
- Outbrain Inc.
- Personyze
- Revcontent
- Recombee, s.r.o.
- Taboola, Inc.
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