Hyper-personalisation: the future of consumer interaction

Walmeric

Última actualización • 01/08/2024

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In the digital environment, hyper-personalisation is essential to connect with customers. How can artificial intelligence optimise interactions and improve sales results? Find out in this article from Contact Center Hub.

Hyper-personalisation has become a key strategy for brands to stand out and effectively connect with their audience. By leveraging data collection and AI-powered analytics, companies can identify individual customer needs and preferences, tailoring their marketing and sales approaches to deliver highly personalised experiences. This not only improves customer satisfaction, but also increases sales.

There are several studies that demonstrate the relevance of this. According to a McKinsey survey, more than 70% of users expect brands to interact with them in a personalised way. This data demonstrates the importance of providing ad hoc experiences and the relationship between this and the performance of a campaign as long as the KPI is to increase sales.

But… How does artificial intelligence influence hyperpersonalisation?

AI makes it possible to identify user behaviour patterns, detect demand opportunities, improve the usability of the website, improve the message according to the target audience and the precise moment within the purchase funnel, etc.

Walmeric helps large companies to personalise the content they show to their potential customers in order to achieve a better experience, which will result in increased sales. The data obtained is worked on so that ad hoc information is displayed, this being what the user expects to see in the following interactions:

  • Email: is personalised based on your browsing/enquiry history, web browsing behaviour and preferences. This allows offers or promotional codes to be included.
  • Corporate Web: personalise the experience based on browsing information/previous web visits for each client, as well as showing different means of contact: telephone, chat, form… or nothing if it is not an interesting lead.
  • Advertisements: information is displayed based on interests and behaviour based on browsing, previous visits, or customer profiling.
  • Product recommendations: you can analyse the history of visits / queries to a website / pricing and their previous interactions to recommend products of interest.
  • Dynamic content: e.g. personalised welcome message with your name and last time you logged in.
  • Audience segmentation: clustering based on interests, behaviours and demographics. This allows you to identify audiences or eliminate them.
  • Personalisation of push notifications: inviting interaction as long as the content is based on previously expressed interests.
  • Chatbots: whose function is to exchange information with customers in real time, answer questions, provide support and collect data that then contribute to the sale.
  • Retargeting: display ads to those who have previously visited a website or interacted with a brand, which helps increase conversions.
  • Data analysis: BI departments can use Walmeric data to identify the best performing channels and work on personalised messages.Hyper-personalisation has emerged as an indispensable tool for companies looking to stand out in an increasingly competitive marketplace. Through artificial intelligence data collection and analysis, companies can identify the needs and preferences of their customers, tailoring their marketing and sales strategies to deliver personalised experiences. This improves customer satisfaction and makes brands sell more.It’s time to personalise digital assets, measure them and optimise your results. Are you ready?