Personalisation in Product Recommendations: Driving Sales with Relevant Suggestions

How personalisation boosts customer engagement

Personalisation in product recommendations is a game-changer for customer engagement. When customers feel that a brand understands their needs and preferences, they are more likely to interact with the brand. According to a study by Epsilon, 80% of consumers are more likely to make a purchase when brands offer personalised experiences. This is where we, here at iWeb, come into play with our expert developers and Adobe Commerce Specialists.

Our talented team at iWeb leverages advanced algorithms and data analytics to tailor product recommendations to individual customers. By analysing browsing history, purchase patterns, and even social media activity, we can predict what products a customer might be interested in. This not only enhances the shopping experience but also builds a stronger connection between the customer and the brand.

The role of data in personalisation

Data is the backbone of personalisation. Without it, creating relevant product recommendations would be impossible. At iWeb, an enterprise e-commerce agency, we use a variety of data sources to gather insights about customer behaviour. This includes transactional data, behavioural data, and even third-party data.

Our expert developers integrate these data sources into a unified system using tools like Adobe Experience Manager and Adobe Analytics. This allows us to create a comprehensive profile of each customer, enabling us to deliver highly targeted recommendations. For instance, if a customer frequently buys running shoes, we can recommend the latest models or related accessories, increasing the likelihood of a purchase.

Technologies driving personalised recommendations

Several technologies are at the forefront of driving personalised product recommendations. Machine learning and artificial intelligence are key players in this field. These technologies analyse vast amounts of data to identify patterns and trends, which are then used to make accurate recommendations.

Here at iWeb, we utilise Adobe Commerce and its suite of tools, including Adobe Real-time CDP and Adobe Target, to implement these technologies. Our talented team ensures that these tools are seamlessly integrated into your e-commerce platform, providing real-time, personalised recommendations that drive sales. With iWeb’s 29 years of e-commerce experience, you can trust us to deliver cutting-edge solutions.

Case studies: Success stories in personalisation

One of our notable success stories involves a leading UK-based retailer. By implementing personalised product recommendations using Adobe Commerce, we saw a 25% increase in conversion rates. The team at iWeb tailored the recommendations based on customer browsing history and past purchases, resulting in a more engaging shopping experience.

Another example is a B2B wholesale client who benefited from our end-to-end ERP integration. By integrating their ERP system with Adobe Commerce, we provided personalised product suggestions based on inventory levels and customer order history. This not only improved customer satisfaction but also streamlined their operations.

Challenges in implementing personalisation

While personalisation offers numerous benefits, it also comes with its own set of challenges. One of the main hurdles is data privacy. Customers are increasingly concerned about how their data is being used. At iWeb, we prioritise data security and compliance with regulations like GDPR to ensure that customer data is handled responsibly.

Another challenge is the complexity of integrating various data sources. Our talented in-house team excels in ERP integration, including end-to-end BisTrack integration and Epicor BisTrack ERP integration. We ensure that all data sources are seamlessly connected, providing a unified view of the customer for more accurate recommendations.

Future trends in personalised recommendations

The future of personalised product recommendations looks promising, with advancements in AI and machine learning leading the way. Predictive analytics will become more sophisticated, allowing for even more accurate recommendations. At iWeb, we are constantly exploring new technologies to stay ahead of the curve.

Voice search and virtual assistants are also set to play a significant role in the future of personalisation. Imagine a scenario where a customer can ask their virtual assistant for product recommendations, and receive highly personalised suggestions based on their past behaviour. Our team at iWeb is already working on integrating these technologies into our e-commerce solutions.

How iWeb can help with your personalisation strategy

At iWeb, our expertise and experience in e-commerce spans three decades. We offer a range of services to help you implement a successful personalisation strategy. From Adobe Commerce development to ERP integration, our talented UK team has the skills and knowledge to deliver results.

We also specialise in Akeneo PIM integration, ensuring that your product information is accurate and up-to-date. This is crucial for delivering relevant product recommendations. With iWeb’s track record in e-commerce, you can trust us to help you drive sales with personalised suggestions.

Contact iWeb for your digital transformation

Ready to take your e-commerce platform to the next level with personalised product recommendations? Reach out to iWeb today. Our talented team is here to help you navigate the complexities of personalisation and drive sales with relevant suggestions. Contact iWeb to learn more about how we can assist with your digital transformation.