For over a decade, Opti-Num has worked with a Telco to provide dynamic tariffing to the prepaid subscriber market. In 2021, our solution contributed up to 30% of our client’s billion Rand prepaid market.
Opti-Num built data-driven models that analysed how the Telco’s subscribers engage with their prepaid products. The models provide business insight and allow us to recommend dynamic pricing strategies. We then execute dynamic tariffing based on geographic location and time of day. For example, a subscribed prepaid user gets notified of a tailored discount on their phone, based on their buying patterns, where they are in the country and what time of day it is.
We use our data science and modelling expertise to model customer behaviour. These models “learn” over time based on feedback. We forecast impact and test different pricing scenarios in the market. We map the customer journey which allows us to execute dynamic tariffing schedules using our software engineering expertise. The outcome is improved customer retention and revenue.
We use trusted software such as MATLAB for modeling and analysis and PowerBI to share advanced visualisations to execute robust dynamic tariffing profiles. We leverage
Our telco client was faced with the challenge of high customer churn and an inability to react quickly to competitor offerings whilst balancing network demand. We worked with our them to help balance network capacity against customer demand for which demand would spike at certain times and locations due to subscribers circumstances, pay cycles, marketing of new offer launches, seasonal effects, such as Christmas and Easter, and events such as morning rush hour, large sporting events, and other gatherings. We developed an engine and complete solution to dynamically discount (Dynamic Pricing) the price of phone calls/data on a 15-minute scale, across each cell tower in South Africa. The solution fully integrates into our client’s technology environment. Opti-Num has operated and enhanced the dynamic pricing solution for over 10 years, with ongoing enhancements to make the pricing more and more targeted with more advanced algorithms incorporating machine learning and also expanding the solution to other products. We have also helped build more specific new offerings based on insight of the telco’s customer behaviour and refined the telco’s customer segments to a much more granular level than would normally be possible. The engagement has continued to deliver an increase in minutes called/data used and also increased the average spend per customer. Today our telco client’s customers on average spends 90% more than what they did prior to us deploying the dynamic pricing solution and we have the highest retention rate in the market.
The solution has included:
See this story about how we worked with MTN Uganda