PREDICTIVE ANALYSIS
AI agents integrated with predictive analysis personalize interactions based on the user profile.
Imagine a virtual assistant that not only responds, but actually understands who is in front of it.
AI agents with predictive analysis transform every interaction, adapting language, tone and content based on the user profile. Thanks to psychometric profiling, your customers will have a personalized experience, receiving tailored responses that improve satisfaction and engagement.
📈 More engagement, more conversions, more sales!
When AI anticipates your customers’ needs, every message becomes an opportunity for connection and growth.
Personalization
Personalized interactions on the user profile.
ENGAGEMENT
Greater involvement in the conversation.
CONVERSION RATE
of your marketing campaigns.
USE CASE PREDICTIVE ANALYSIS
The application of predictive analysis to the Facebook re-targeting campaigns of a well-known Italian fashion brand increased sales and conversion rate.
The target was divided into two groups:
Group 1 – Followers of the page who had “liked” a content
Group 2 – Followers profiled with predictive analysis
A generic campaign was sent to the first group; a campaign with content targeted to the psychometric profile was sent to the second group.
📈 Results:
✔ +48% average increase in the cart thanks to tailored content
✔ +11% conversion rate with targeted communication
AI AGENTS WITH PREDICTIVE ANALYSIS
PREDICTIVE ANALYSIS AI AGENTS PLATFORM
Predictive analysis is a technique that allows you to detect an individual’s personality traits by analyzing their language and the way they communicate. Unlike sentiment analysis, which only captures the momentary state of mind, psychometric profiling relies on function words (the words that indicate “how to speak”, rather than “what to talk about”) to identify stable personality characteristics.
Integrating predictive analysis into chatbot interactions creates more engaging interactions and increases sales opportunities.
How does it integrate into chatbots?
Empathic chatbots use psychometric profiling to:
✔ Understand in real time who the interlocutor is
✔ Adapt the communication style and tone of voice (e.g. more emotional or more rational)
✔ Personalize content based on the propensity to purchase, loyalty or risk of churn
✔ Suggest the “next best action” to improve the customer experience
Thanks to this technology, chatbots and AI agents not only answer questions, but create a real emotional connection with the user, improving engagement, conversions and loyalty.
THE TECHNOLOGY
The result is a real-time predictive analysis technology capable of returning more than 80 psychometric traits relating to people’s attitudes, personality, behaviors and values. Based on this information, you can choose the language, approach and communication content that best suits the interlocutor and personalize the interaction of the chatbots, making it more engaging and effective.
Predictive Analysis
Application Overview
CUSTOMER CARE
Chatbots with predictive analytics detect user psychometric traits in real time and adapt their messages and communication style.
Digital sales
They identify purchase propensity and churn risk and suggest “next best actions” to increase conversions.
FINANCE
They detect risk appetite to personalize offers and adapt communications on investments and policies.
Marketing one to one
They personalize advertising campaigns based on user psychometrics, increasing redemption and conversion rates.
HR
They analyze soft skills and character traits of employees, customize training and development plans.
HEALTHCARE
They personalize interactions with patients and improve adherence to therapies by adapting communications.
Empathic chatbots
Advantages of personalization
The application of predictive analytics to interactions is turning personalization into a key competitive differentiator. Companies that integrate AI into their processes not only improve the customer experience, but create long-term value, outpacing competitors in growth and customer loyalty.
%
percentage of consumers who expect personalized interactions
%
Increased spending by customers of highly personalized companies
%
Consumers willing to pay more for personalized products
opinions on predictive analysis
WHAT EXPERTS SAY
Social psychology offers consolidated models that artificial intelligence allows to translate into automatic systems
AI‘s predictive power tells us that there are deep patterns in language that we cannot grasp and that technology helps us discover
Insights
Personalizing interactions with predictive analysis helps optimize user experience, increase customer satisfaction, and improve marketing and sales results.
HOW TO USE PREDICTIVE AI
Predictive AI uses machine learning algorithms to analyze large amounts of historical data and identify recurring patterns. These patterns are then applied to predict future behaviors, such as a customer’s purchasing preferences, churn risk, or the best time to contact a user.
AI in healthcare
According to a report by Accenture, over 40% of healthcare executives consider AI to be the technology that will have the greatest impact in the next 3 years.
In healthcare, different types of artificial intelligence are already in use, such as machine learning and predictive analysis, while an increasing number of facilities are looking at chatbots.
AI-personalized customer experience
“Real time” and “personalization” are the key words on which the “customer experience management and orchestration” strategies are based, which companies adopt in response to the main challenges.
Conversational AI Shopping Experience
Market intelligence firm IDC predicts that by 2026, B2B companies will use the interaction and analysis capabilities of artificial intelligence to personalize and automate customer engagement actions.