Social Media-Customer Satisfaction and Retention-CRM

With the number of competing services available, businesses need to maintain their consumers and reward their loyalty. Focusing on proactively identify when, and why customers will or may leave will help to design an efficient customer retention strategy, start a new marketing campaigns, decide on the timing of campaigns and understand their behavior or reactions to a given marketing campaigns prior to lunch of the new promotion, lucrative offers or marketing strategy. May corporations periodically conduct surveys to ascertain customer perceptions of the firm, its products and services, and to help identify areas that require improvement or attention? After the results are compiled, respondents can be portrayed as belonging somewhere in the range of “totally dissatisfied” to “totally satisfied” customers. Near the middle region, there is potential for a company to generate more satisfied customers by improving performance in the factors that are sensitive to that group. Likewise, a company can lose marginally satisfied customers by failing to maintain/strengthen factors that are important to them. The main goal for any cooperation is to analyze the near-middle regions and identify factors that would cause cross-overs, and recommend actions to preserve and elevate the number of satisfied customers. Successful efforts to proactively convert marginally dissatisfied customers to satisfied ones by even a few percentage points will benefit most companies. Preventing “decay” in the other way is equally important and beneficial.Using thousands of customer records and surveys, our Artificial Intelligence technique for customer satisfaction and retention has been able to predict the satisfied and dissatisfied customers with 90-95 percent of the accuracy. Our decision trees will also walk you through the casual and effect, provide insight, reveals interesting facts and is opening windows into better understanding the customer behavior, proactively.

Customer Relationship Management (CRM): In addition, our extended system is called Artificial Intelligence-CRM system, can precisely predict whether a customer will switch provider (churn), buy the main service/new product (appetency) and/or buy additional extras/upgrades or add-ons (up-selling). Churn is the propensity of customers to switch between service providers, appetency is the propensity of customers to buy a service, and up-selling is the success in selling additional good or services to make a sale more profitable.