Marketing & Customer experience
Percipion™ can be used to better understand and taking care of the customer needs and perception by assessing voice of the customer material (feedback, surveys, claims) and provide insights that can be shared across the enterprise to build a portfolio of critical marketing metrics, helping organizations to drive growth, understand how customers perceive your company’s brands, products, and services, improving customer acquisition, engagement, retention and loyalty while staying ahead of customer churn and dissatisfaction.
You will find below some examples of business use cases that can be modernized using Percipion™. For those use cases, we have created a special functional bundle (pink). For more information, please refer to our pricing page.
Use cases
Percipion™ can be used on daily basis to modernized up to 47 use cases across the enterprise. Below, some specific examples related to the marketing and customer experience capability.
Assess customer claims
Customer buying drivers
Assess customer feedback
Assess competitors
Marketing analysis
Brand reputation
Identify ambassadors & critics
Identify unhappy customers
Better push-ads feature
A month with Jane
Jane is working for an American multinational technology company focusing on e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence. It is one of the Big Five American information technology companies.
In order to better personalize their customers online shopping experience, Jane is collecting various data about their clients in a solution called 360° customer insight.
Today, Jane’s main objective is to collect specific psychological insights related to customers to better understand their buying drivers and once known, trigger these drivers on future buying intentions to increase sells.
Tomorrow, Aeteos™ proposed to Jane to use Percipion™ to assess the voice of the customer material and be able to identify psychological factors to understand better why clients bought from their shop and, based on these new insights, be able to predict future buying behaviors for each individual better and propose products which could better fit their needs.