Telecom

Our Working Process

VERTICALS

Speed up the work process with our innovative telecom solutions

Communication in today’s lifestyle has a deeper emphasis than just the voice communication. Today, communication has taken a different viewpoint than what was before. Companies are venturing into new fields and creating a new pool of opportunities for Telecom.

IntellectFaces is one among the first few organizations to provide analytical solutions in the area of ever-growing communication technologies. IntellectFaces are well equipped with the latest and upcoming dynamics and are very well capable of advising on the best suited and best available solutions in data analytics.

Customer-Based Analytics

We assist our clients in achieving customer loyalty and decreasing customer churn through tailored campaigns and optimized pricing strategies.

Churn and Retention Models

Acquisition of customers is the fuel for the survival and success of any industry. In Telecom, retaining the acquired customers is quite a challenge as the churn rates are higher than any other sector. To avoid any losses due to early customer churns, IntellectFaces has modernized the churn and retention model to suit the need for the organization.

Our Methods to decrease Churn Rate
  1. Providing efficient customer service no matter the complaint or query.
  2. Identification of customers those are likely to churn in an early stage and applying retention techniques to withhold them.
  3. Offer Upgrades and free services with special deals to allure the attention of subscribers.

Life Time Value Model

The LTV model is effective in identifying the future of a company based on their customer’s value. Acquiring a customer might be simpler compared to preserving their subscription for a longer time. IntellectFaces evaluates the customer data and compares it with the estimates long-term expectancies to generate solutions suitable for the longevity of a customer’s term in the company.

Our Methods to Increase customer Lifetime with the company
  1. Calculating the Average Customer Lifetime Value by evaluating average revenue per cycle over the time period of a month.
  2. Customizing budget plans for LTV models.
  3. High-value customers are identified and their LTV predicted to avoid increased instances of churn.

Want to talk to us? Contact us today!