CHARGEVIZ OPTIMIZE
Your strategy.Smarter pricing.
Explore station and cluster pricing that balances demand, energy costs and your traffic, revenue or ROI goals.
OPTIMIZE / SCENARIOS
Test your next price move.
Cluster profile
IllustrativeUrban destinationsRetail, food & leisure
50–150 kW · City centres12 stations · 96 charge points - Avg. competitors
- 4.8
within 5 km / station- Nearest competitor
- 0.8 km
average distance
Activity · sessions / CP / dayAverage price · €/kWhLocal competition within each station’s 5 km perimeter. Example data, August 2026.
Keeps ≥90% of current contribution.
Price elasticity
Entire clusterDemand responseCurrent demand
Current price €0.49/kWhElasticity -1.60
- Trafficvs current price
- +10.4%
- Daily contributionRevenue less energy cost
- €6,194
- 30-day campaign ROI€900 assumed budget
- +169%
Sessions / day640 → 707
Illustrative response curves, not fitted models. 32 kWh/session; 35% off-peak demand. ROI = (30-day incremental contribution − campaign budget) / budget. Other operating costs excluded.
Group the right stations.
Build clusters with filters or an AI brief, using local demand, location type and competitive context.
Test before you decide.
Compare elasticity models, day/hour prices and peak/off-peak energy costs against your commercial goals.
Follow the impact.
Track campaigns and major competitor price moves, with traffic response and assumption-based ROI estimates.