Products
© Fiskil 2026. All rights reserved.
Energy Retailers
Customer Acquisition
Energy retailers waste acquisition spend on low-value customers. Fiskil identifies high-value prospects who will save significantly by switching.
Retailers spend on acquisition without knowing which customers are worth acquiring.
Acquire low-usage customers with minimal lifetime value
Can't identify who would save the most by switching
Broadcast marketing wastes spend on wrong prospects
High churn when savings don't materialize
No data-driven targeting for acquisition
Identify prospects with high usage paying above-market rates who will save significantly by switching.
Identify customers with high consumption (high lifetime value).
Calculate exactly how much each prospect would save by switching.
Identify customers paying significantly above current market rates.
Prioritize acquisition efforts on high-value, high-savings prospects.
Add data-driven targeting to your customer acquisition strategy.
Prospects connect energy accounts to see personalized savings (with consent).
API calculates usage levels, current costs, and potential savings.
Segment by lifetime value and savings potential.
Focus acquisition on high-value prospects with compelling savings offers.
Estimate customer lifetime value based on usage patterns.
Calculate exact dollar savings to use in acquisition messaging.
Identify customers paying well above competitive market rates.
Profile usage patterns to match to optimal retail products.
Predict likelihood of switching based on current rate premium.
Export high-value prospect lists for targeted campaigns.
A retailer targets high-usage customers paying premium rates.
Result: Customer acquisition cost reduced 45% by targeting high-value prospects only.
A new retailer identifies customers saving $400+ to drive initial growth.
Result: Acquired 5,000 high-value customers in first quarter with 85% retention.
A retailer launches data-driven acquisition replacing broadcast marketing.
Result: Acquisition ROI improved 3.2x with usage-based targeting.
POST /energy/analyze-prospectGET /energy-accounts/{accountId}/savings-potentialPOST /energy/segment-prospectsGET /energy/ltv-estimateAnnual consumption
Current rate premium
Potential savings
Lifetime value estimate
Usage profile
Switching likelihood
OAuth 2.0 / CDR consent
Yes
High usage (above average consumption) combined with paying above-market rates indicates high value.
High usage (high revenue), significant savings potential (high conversion), and favorable usage patterns.
Based on annual consumption, margin potential, and expected retention (typically 2-3 years in retail energy).
Yes, high-value business prospects can be identified and targeted separately.
Customers saving $300+ annually have high switching motivation and conversion rates.
Targeting high-value customers vs broadcast reduces wasted spend and increases customer lifetime value.
Yes, prospects consent to share usage data to receive personalized savings calculations.
Energy Comparison
Analyze energy bills and usage patterns to provide accurate switching recommendations. Fiskil's Energy API enables instant bill analysis from 40+ Australian energy retailers.
Energy Comparison
Recommend the best energy plan for each customer based on actual usage data. Show accurate savings and guide customers to optimal energy deals.
Energy Comparison
Determine the optimal tariff structure for each customer. Identify whether flat rate, time-of-use, or demand tariffs provide the best value.
Join hundreds of companies using Fiskil to power their energy retailers applications. Get started today with our developer-friendly API.
Products
© Fiskil 2026. All rights reserved.