Top Challenges Facing Retailers When Personalising Their Customer Experience
You need clean data - personalisation software relies on data, and too often the data it needs is not available or is not easily accessible
Overly complex software - many software tools are complex to use, and some require developer resources for implementation and maintenance
By understanding their target audience and tailoring every aspect of their online presence to meet their customers' needs, retailers can gain insights into what drives purchase decisions and use this knowledge to drive more sales and revenue growth.
A lot of retailers are using personalisation to gain an edge over their competition in the retail landscape. Creating tailored experiences that help build trust and loyalty with the customer and gain deeper insights into what drives purchase decisions so that they can optimise their offerings for maximum impact.
By leveraging personalised content, targeted messaging and improved search functionality from personalisation software, retailers can stay ahead of the competition in today’s fast-paced retail environment.
Personalisation Platform Examples
Dynamic Yield
Dynamic Yield combines the strength of unified data with the tools to activate personalised & optimised experiences across the web, apps, and email.
Dynamic Yield is an AI-powered Personalisation Anywhere™ platform that delivers individualised experiences at every customer touchpoint: web, apps, email, kiosks, IoT, and call centres. The platform’s data management capabilities provide for a unified view of the customer, allowing the rapid and scalable creation of highly targeted digital interactions. Marketers, product managers, and engineers use Dynamic Yield daily for launching new personalisation campaigns, running server-side and client-side A/B tests, leveraging machine learning for product and content recommendations, and employing algorithms for smartly triggered email and push notifications. Headquartered in New York, the company serves more than 300 brands across the world.
Dressipi
Dressipi is the leading independently verified Revenue Optimisation Platform that drives profitable growth for fashion retailers.
With always-on customers, fashion retailers need to better understand their preferences, anticipate demand faster and personalise all touchpoints to stay ahead. Using fashion-specific AI and machine learning capabilities, Dressipi helps retailers meet shopper expectations and drive profitable growth in three steps
1) Engage - Personalise the customer experience at every touchpoint (online, in-store, in-app, in emails)
2) Learn - Move from spreadsheets to real-time actionable insights on every customer and product
3) Optimise - Enhance the customer experience and improve supply chains Our focus on fashion is a key differentiator and why we consistently outperform competitors’ general, cross-industry approach.
Early Birds
At Early Birds, they have developed a personalisation and merchandising platform for e-commerce companies to easily manage their customer data, orchestrate their own algorithms and apply machine learning to deliver personalised, omnichannel experiences.
Early Birds is the only complete platform on the market that allows you to manage the entire personalisation process: Customer data collection and enrichment, Algorithm library consisting of our own algorithms, open-source and third-party algorithms, Customers' algorithms integration, Creation and management of real-time omnichannel recommendation strategies and A/B tests, monitoring and performance optimisation. We know how to address e-commerce companies that do not yet have their own algorithms and that want to quickly increase their key metrics thanks to the algorithms available on our platform, as well as supporting the most mature retailers on the market that want to integrate and configure their own algorithms within our solution.
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What is Personalisation Software?
Personalisation software is rapidly becoming the most valuable asset for retailers. It enables companies to tailor their communication and offerings to individual customers, allowing them to build deeper relationships with their audience and gain insights into what drives their purchase decisions.
The personalisation platform helps retailers create a seamless customer experience by providing tailored product recommendations, improved search functionality, and other customised features.
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Personalisation Software = Higher Conversion Rates
It also allows for real-time data analysis that can be used to gain insights into customer behaviour and preferences, enabling retailers to create more targeted campaigns and optimise their offerings for maximum impact. With the help of data, it is possible to design special and individual customer experiences that have the highest chance of conversion.
This means that visitors to the website are converted into buying customers. The higher this conversion rate, the more customers the company gains. And more customers, in turn, generate more revenue.
Personalisation software enables companies to offer a unique and engaging shopping experience by providing customers with customised content, such as product recommendations based on their activity and interests. This helps to build trust and loyalty with the customer by providing a personalised shopping experience that caters to their individual needs.
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How Can Personalisation Software Help?
Marketing
Delivering the right message to the right audience and in the right context to maximise marketing and advertising performance.
Digital commerce
Tailoring content, offers, recommendations and experiences across digital sales channels.
Service and support
Using customer insight, journey context and user feedback to customise online and offline experiences across business functions to reduce customer effort or increase customer satisfaction.
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How Can Personalisation Software Be Challenging?
Personalisation software can sometimes be a real challenge. Despite a great number of resources devoted to personalisation in retail, creating effective personalised experiences is still a challenge.
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