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Energy & Utilities

Unify siloed utility data into a single view.

  • Deliver a seamless customer experience where all teams work off the same, holistic view of the customer.
  • Create personalised customer journeys that deliver the right message at the right time.
  • Empower every team, from call centre agents to field service reps, to understand the customer more deeply.

Data Sources Used

Customer Interactions
Energy Consumption Data
Customer Ratings
Programme Participation
Surveys and Feedback Forms
Weather Data
Website Interactions
Social Media Sentiment
Customer Segment

Apply Insights and Predictions

By bringing together the data sources referenced in this use case, teams can build calculated insights or run predictive models with Data Cloud that will allow them to make smarter decisions or power new automations.

Calculated Insights Combine customer Lifetime Value (CLV) scores with energy consumption, connected asset data with churn rates, average order values and customer acquisition costs
Aggregate Events - high bill, connected assets enquiry, marketing messaging/adds, call centre related enquiries
Predictive Models Predict upcoming spikes in energy consumption based on historical usage and weather or other market-related data. Leverage usage, appliance and building data to create models that recommend next-best actions for customers' energy utilisation.

What's the impact

Increase Customer Life Time Value
Increase Employee Productivity
Decrease Cost to Serve
Increase Customer Engagement

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