Who are we?

We are a consulting company which is specialised in customer strategies, customer profitability, campaign management and data analysis in telecommunications. Due to our activities at several major Swiss telecommunication companies, we have a lot of practical experience and know the problems and methods of resolution in telecommunications. Our concepts proved in practice. We know what has to be done to be successful on long-term. Besides the business skills, we also have the technical know how to realise these concepts. We are flexible and we can offer you customised services depending on your problem to find a solution.


Do you know your customers?

Do you know your customer needs? If you have many customers, it is difficult to identify everyone's needs. By means of customer segmentation, you can pool customers with similar characteristics, and thus similar needs. Now you can offer each customer an appropriate product, invest your resources at the right place and increase the campaign success.
Example: Swiss Valuenet realised a customer segmentation at one of the bigger telecommunication companies in Switzerland. Afterwards, the callcenter advisors had an overview about the most important characteristics and needs of each customer. The customer satisfaction as well as the campaign success could be improved.


Which customers are likely to leave your company?

Do your most valuable customers leave your company, and you cannot prevent it? Yes, you can! By means of a churn analysis (analysis about customers who left your company in the past), you can find out the characteristics of them. Afterwards you will be capable of identifying the most endangered customers and to do the right actions to keep as many as possible, because this is much cheaper than to acquire new ones.
Example: We analysed the customer behaviour of churners and developed a forecast model for a south European telecom provider. The model was used in a retention campaign for the most endangered customers, and the churn rate could be decreased significantly.


Which customers have potential to buy additional products?

Are your campaigns not always as successful as you would like? Perhaps you have contacted the wrong customers. By analysing the customer behaviour before a product bought takes place, we can see their characteristics, and thus identify the potential of each customer (scoring). You can concentrate yourself on customers with a high potential, to save costs and increase your campaign success.
Example: We evaluated different additional products for a Swiss telecom provider. There were interesting products for every customer, depending on his usage behaviour. The results were implemented in the call agent software. Every customer could now be offered an appropriate product. The take rate as well as the customer loyalty could be increased.


Which customers are profitable?

Revenue as criteria for profitability is generally not precise enough. There are better ways to measure profitability, by building models to calculate the contribution margin. It is important that you can identify the most valuable customers, to take the right actions to bind them.
Example: We built a profitability model based on the contribution margin for one of the biggest telecom provider in Switzerland. Thanks to this model, it was possible to identify the most valuable customers.


How can new customers be acquired?

Would you like to have information about new potential customers, but you have no data about prospects? We have an overview about the different data brokers and know the quality of their data. Thereby we can acquire data that are of special interest for you, to carry out target oriented acquisition campaigns.
Example: We observed that people who move are more accessible for changes. We bought such data from a data broker and carried out a pilot campaign. The take rate was higher than for standard acquisition campaigns. It was decided to do this successive campaign at regular intervals. 


Which data and processes are needed to be successful?

Every larger enterprise produces a lot of data. These data are a valuable instrument, if they can be collected and analysed systematically. We have many years of experience and know how to use these data to evaluate theories or to create new knowledge, e.g. to predict customer behaviour or to acquire new customers.
Example: A telecom customer had a lot of customer data in the Data Warehouse, but he only used a part of them. We decided to create a comprehensive analysis base consisting of different data (like products, revenue, aggregations to identify the calling behaviour of each customer etc.), which was regularly updated and expanded. Further we integrated fixnet and mobile data, which was saved in two different DWHs. With this base it was possible to do analysis within a short time whenever it was needed.