Performant Simulations

Telecommunication companies worldwide suffer from insufficient simulation capabilities. A variety of different software tools for different purposes hinders them to quickly analyze alterations of both competitor’s and own portfolios. In fact, the complexity and mere number of tariffs provoke a huge strain on IT systems like CRM, order management and billing, including high risks of implementation failures. So, the complexity of increasingly diversified product portfolios becomes the most important driver of IT-costs in modern telecommunication businesses.

Centralized Analysis Platform

The best way to prevent vast data growth is to standardize data formats and implement one single platform to run business simulations. Clintview allows users to run simulation of price plans on selected products and defined customer segments.

This enables telecom companies to create and share standard-reports at any time. These simulations can be conducted on any given price-plan data, including current usage for each and every customer. Therefore, Clintview renders all other software tools redundant because every department working with Clintview is able to independently create its own detailed reports.

Future Market Calculations

Another best practice for using Clintview is to calculate prognoses for future market developments based on a company’s contract and usage data of real-life customers. Different scenarios of how usage behavior develops can be applied for these prognoses. This allows intelligent decisions to be made on which price plans to invent and which to abandon. Furthermore, analysis can be done to compare usage data for actual subscribers with future scenarios in order to calculate elasticity of individual products.

The above graphic shows simulation results matching a subscriber profile against a product profile. Interpretation: The simulated customer pays too much for the included SMS-package as he never reaches its limits. So, offering a cheaper tariff may increase customer satisfaction without strong commitments to revenue.

In addition to that, specific engines for B2B allow the creation of highly complex discount models without jeopardizing revenue

No Limits to Detailed Analyses

Clintview’s advanced data model reveals a huge scale of possible scenario definitions. For example, a telecom company is able to define a scenario using only customers in a particular tariff such as iPhone specific offers. Users choose which product set is to be used for the simulation, including so called cost products which cover all costs related to a product that is offered to customers. This scheme allows most detailed analyses without specialized third party calculation tools such as:

Product launches: Just before a new product is launched, telecom companies are now able to run simulations on how this new product would influence its own client base. This minimizes cannibalization within the company’s product portfolio. Furthermore, these simulations prevent companies from losing money by launching new products which competitors can easily outcompete.

Churn management: Clintview’s engine delivers precise data analyses of customers who are in danger of quitting their contracts. The software visualizes all data in order to interpret the results. An example result could read as follows: when a competitor’s product leads to a monthly saving of at least 30 percent it is most likely to lose up to 30 percent of all customers contracted to a specific tariff.

Validation: Simulations show precisely what revenue should be realized when a specific price plan comes to action. So, Clintview not only allows calculations of certain scenarios. The engine is also capable of performing controlling checks on billing systems using simulation results. This makes corrections of corrupt invoices much easier.

Gaining Advantages

All in all, Clintview’s advanced simulation capabilities enable telecom companies to easily find and take advantage of even the smallest revenue gaps within their customer base and also in the market. The evident goal is to raise ARPU at minimal rates to benefit from a certain customer base with its specific usage behavior. This is done through a “segment of one” approach.