Power Up Your Retail Energy Business with Smarter Insights
- Monitor energy consumption in real time to balance demand, reduce waste, and enhance customer satisfaction.
- Centralize and analyze energy data to implement flexible pricing, automate billing cycles, and personalize offers.
- Streamline compliance and simplify reporting using data-driven, automated workflows for smarter energy management.
Power Your Retail Energy Strategy with Infoveave
Unify Your Data
Connect data from energy distributors, sales agents, customer accounts, and compliance teams to create a centralized, data-driven view of your business. Improve energy management by eliminating silos and enhancing operational transparency.
Simplify Processes
Streamline key workflows such as billing cycle management, dynamic pricing, and vendor coordination. Reduce errors and costs while boosting customer satisfaction through automated, energy-efficient processes.
Amplify Your Insights
Visualize performance across procurement, operations, and customer journeys. Use retail energy analytics to gain insights into usage trends, optimize strategies, and drive greater energy savings.
Renewable Energy Share
Monitor the percentage of electricity sourced from renewable energy to meet sustainability goals and attract eco-conscious customers. Track growth and improve your green energy mix.
Carbon Footprint Tracking
Quantify and reduce your total greenhouse gas emissions with data-driven analytics. Identify high-impact areas and build targeted strategies for a smaller carbon footprint.
Billing Cycle
Accelerate billing cycles with automation to improve cash flow and reduce customer complaints. Enhance your operational efficiency and service experience.
Average Revenue Per User
Measure energy data to evaluate pricing performance and discover opportunities to increase revenue through better customer targeting and plan structuring.
Customer Churn Rate
Track churn patterns over time to understand customer behavior and loyalty. Use energy analytics to proactively reduce switching with personalized plans and outreach.
Best Offer Analysis
Leverage retail energy analytics to create competitive pricing models in real-time. Match customer demand with profitability to optimize margins and offer value.
Visualize energy insights
Explore more dashboard examples
Supercharge Your Retail Energy KPIs with Infoveave
Integrate all your data sources, map them to your KPIs, analyze your data and visualize insights.
Percentage Of Customers On Standard Retail Contracts
The proportion of customers who have opted for conventional, non-customized agreements or packages offered by the business is a crucial metric for retail energy providers.
Percentage Of Customers On Standard Retail Contracts = (Customers on standard retail contracts / Total customers) x 100
Debt Repayment Rate
The percentage of debts that have been repaid within a specified period is a critical metric for retail energy providers, reflecting the effectiveness of their debt collection efforts.
Debt Repayment Rate = (Amount of debt repaid by customers/ Total amount of debt) x 100
Customer Disconnection Rate
The percentage of customers whose service has been disconnected due to non-payment or other reasons within a specific period is a crucial metric for retail energy providers.
Customer Disconnection Rate = (Number of customers disconnected/ Total customers) x 100
Customer Reconnection Rate
The percentage of customers whose service has been reinstated after being disconnected is a critical metric that reflects the effectiveness of a retail energy providers reconnection processes.
Customer Reconnection Rate = (Number of customers reconnected/ Number of customers disconnected) x 100
Average Connection Setup Time
The average duration taken by a retail energy company to set up new connections for customers is a crucial KPI that tells on the efficiency of the connection setup process.
Average Connection Setup Time = Time taken to set up connections/ Connection set ups
Energy Per Customer
The average amount of energy consumed by each customer within a specific period is a vital metric that offers deep insights into the energy consumption behaviour of individual customers or households.
Energy Per Customer = Consumption/ Total customers