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Minimise your Monthly Carrier Costs

Our MVNO Analytics-as-a-Service solution utilises machine learning and non-linear optimisation algorithms to sift through millions of network subscribers daily. This allows you to accurately predict if and when these users should be migrated, minimising your monthly carrier costs.

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MVNO Analytics-as-a-Service Benefits

Identify high value and low-value contributors at a glance

This innovative solution allows you to pull reports on information related to your customers life-cycle, acquisition and retention, spend, profitability and other drivers that influence revenue in almost real-time. This insight enables you to drive action and target the right customers.
1

Enhance profitability

This solution allows you to increase profitability by gaining actionable insight into customer behaviour. It can create a 360-degree profile of your customer segments, user patterns, revenue, and more.
2

Amplify customer acquisition and retention opportunities

This technology allows you to report on customer value indicators and drivers. You can then use this essential information to develop cost-effective product and service strategies that talk to your customers’ needs and requirements and increase profit margins.
3

MVNO Analytics-as-a-Service Features

  • Seasonal growth of new subscribers, the duration they’re active, and comparisons between subscribers on a longer tenure 
  • A detailed daily analysis keeps track of MVNO subscriber behaviour and, together with segmentation, helps the MVNO drive smarter marketing campaigns
  • Identify the most valuable customers
  • Identify the least valuable customers
  • Identify customer’s who are the most likely to respond favourably to new products or campaigns
  • Identify customer’s who are the most likely to become dormant or churn
  • All KPIs, analysis and dashboards via customer segments. e.g. revenue, activity and device analysis is segmented per customer segment
  • Segmentation parameters that are flexible and configurable
  • Micro segmentation
  • Revenue, subscriber performance, segmentation and other analytics takes the subscriber device into consideration
  • Determines what products are more likely to engage subscribers with a faster connectivity  smartphone vs a tablet
  • In-depth analysis of all network event records,  including all traffic types, and technologies (Voice, Data, Text, WiFi, VOIP or other available types) in one central source 
  • Interconnect and Roaming Reporting
  • Detail analysis of roaming usage and interconnect, places the MVNO in a position of power when it comes to negotiating internetwork agreements
  • Validation of roaming and interconnect spend forms an integral part of revenue assurance
  • Sudden subscriber behaviour change leading to costly usage spike
  • Safeguard the MVNO against usage abuse
  • Fully automated data enrichment and integration of different sources streamlines the analysis and reporting process
  • An accessible data model that supports ad hoc and self-serve data analysis and makes data science possible
  • A consolidated view of ALL KPIs
  • Fully automated, audited, and secure ETL

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