Predict switching.
Retain customers.
Reduce acquisition waste.
Energy is the original churn industry. Tariff expiry, price comparison sites, and Ofgem switching rules create constant customer attrition. Skubl gives your retention team a 60-day warning window — and tells you which channels are acquiring customers who actually stay.
Switching Risk — Next 60 Days
5,713 accounts at elevated risk this quarter. Skubl calculates £2.4M in at-risk revenue based on current ARPU.
Connected across your stack
The Problem
Why energy brands keep losing the same customers.
The churn cycle in energy is structural — driven by tariff economics, PCW platforms, and Ofgem rules. You can't change the industry. But you can see the signals earlier and act faster than your competitors.
Switching happens in a 60-day window
Most energy customers decide to switch during the final 60 days of their tariff. Once they've started comparing on a PCW, you're already competing on price. Skubl identifies the window 60 days earlier — when you can still compete on relationship.
60 days
average Skubl warning window before switching
PCW acquisition destroys tenure
Customers acquired through price comparison websites have 40% lower average tenure than those acquired through direct channels. Their switching propensity is structurally higher — they came to you on price and they'll leave on price.
40%
lower tenure for PCW-acquired customers
Smart meter data is underused
Smart meter usage data is one of the richest behavioural signals available to energy suppliers — but most brands aren't connecting it to their marketing intelligence. Customers who disengage from their IHD are 3× more likely to switch in the next 90 days.
3×
higher churn risk for disengaged smart meter users
"60 days is the window."
The average time between Skubl's switching risk alert and the customer's actual switch. Act in that window and retention rates improve by 34%.
Customer Intelligence for Energy
The full customer lifecycle in utilities.
From acquisition channel to 36-month tenure — Skubl connects every signal into a picture of customer health, switching risk, and long-term value.
Know who's about to switch supplier — before they search.
Energy customers switch when their fixed-rate deal expires and a better offer appears on a price comparison site. Skubl models switching propensity using tariff expiry dates, price comparison activity signals, smart meter disengagement patterns, and direct debit failure rates. Your retention team gets a 60-day priority queue — before the customer has even started looking.
- Tariff Expiry Risk Scoring
- Price Comparison Site Activity Detection
- Smart Meter Engagement Signals
Energy Supplier — Customer Intelligence
"We were acting on churn data 30 days too late. Every time."
A mid-size UK energy supplier used Skubl to replace their lag-indicator churn model with a forward-looking risk score. By combining tariff expiry data, smart meter engagement signals, and PCW visit patterns, they built a 60-day warning system that triggered personalised outreach automatically.
In the first six months, they retained 34% more at-risk customers compared to the previous year's reactive approach — at 40% lower retention cost per customer.
+34%
More at-risk customers retained
60 days
Average warning window
40%
Lower retention cost per customer
6 months
Time to measurable ROI
How It Works
From billing data to retention action in weeks.
Connect your data sources
Skubl ingests billing data, smart meter engagement signals, CRM records, and digital marketing data. Historical data syncs automatically — your churn model is running within 48 hours of connection.
Build the switching risk model
Every customer account gets a daily-updated switching risk score based on tariff expiry proximity, PCW activity signals, smart meter disengagement, and historical cohort behaviour.
Trigger retention action
High-risk accounts are routed to your CS team with personalised outreach playbooks. Medium-risk accounts enter automated retention sequences. All actions are tracked against actual switching outcomes and the model improves continuously.
Accelerators
Energy Retention Accelerators
Pre-built for energy and utilities. Deploy in weeks.
Switching Risk Dashboard
Daily account-level switching probability with 60-day horizon.
Tariff Expiry Sequences
Automated personalised outreach triggered by tariff end dates.
Smart Meter Adoption Model
Propensity scoring for smart meter installation by customer segment.
Tenure Attribution Report
Connect acquisition channels to 36-month customer tenure and ARPU.
Stop spending on acquisition.
Start investing in tenure.
Skubl gives you a 60-day switching warning and shows which channels acquire customers who stay — not just customers who switch to you today.