Hyperpersonalization has become a critical strategy for brands to stand out and effectively connect with their audience. By leveraging data collection and AI-powered analytics, businesses can identify individual customer needs and preferences, tailoring their marketing and sales approaches to deliver highly personalized 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 personalized way. This data demonstrates the importance of providing experiences ad hoc to the needs and the relationship between this and the performance of a campaign as long as the KPI is the increase in sales.
But… How does artificial intelligence influence hyperpersonalization?
AI makes it possible to identify user behavior gambling database patterns , detect demand opportunities, improve website usability, improve the message according to the target audience and the precise moment within the purchase funnel, etc.
Walmeric helps large companies to personalize the content they show to their potential customers with the aim of achieving a better experience, which will translate into an increase in sales . The data obtained is processed to display ad hoc information, which is what the user expects to see in the following interactions:
Email: This is personalized based on your browsing history/query, web browsing behavior and preferences. This allows us to include offers or promotional codes.
Corporate Website: personalize the experience based on browsing information/previous web visits for each client, as well as display different means of contact: telephone, chat, form... or nothing if it is not an interesting lead.
Ads: Information is displayed based on interests and behavior based on browsing, previous queries, or customer profiling.
Product recommendations: you can analyse the history of visits/queries to a website/pricing and your previous interactions to recommend products of interest.
Dynamic content: for example, a personalized welcome message with your name and last time you logged in.
Audience segmentation: clustering based on interests, behaviors, and demographics. This allows you to identify audiences or eliminate them.
Personalization of push notifications: which invite 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 later contributes to the sale.
Retargeting: Showing ads to people 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 personalized messages.
Hyperpersonalization has emerged as an indispensable tool for companies looking to stand out in an increasingly competitive market. By collecting and analyzing data using artificial intelligence, companies can identify the needs and preferences of their customers, adapting their marketing and sales strategies to offer personalized experiences. This improves customer satisfaction and makes brands sell more.
