Industry-native AI

Industry-native AI for utilities

Energy, water and broadband retailers run high-volume, low-margin bases where customers can switch easily and cost to serve is unforgiving. Our models predict who is most likely to leave, which customers are worth winning and where retention and media investment will deliver the greatest return.

Churn & switchingRetentionAcquisitionCost to serveMarketing mix modellingSegmentationForecastingCampaign automation

The decisions that determine utility margins

Margin in utilities is won on retention, the value of the customers you acquire and the cost of serving them. Our models answer these pressure points.

ChurnSwitching decided at the discount cliff

Customers leave when a benefit period ends or a competitor lands a cheaper tariff. Retention teams see the loss in the disconnection report, long after the customer began shopping around.

The opportunityDaily churn probability for every account with the drivers behind it, so retention offers reach the customers who would otherwise switch.

AcquisitionVolume won at the wrong value

Discount-led acquisition brings in customers who never reach payback and churn at the first price change. Cohorts that look identical at signup separate sharply within months.

The opportunityJoiner cohorts analysed for cumulative lifetime revenue, with the attributes that predict longer tenure fed back into targeting.

Marketing spendMedia accountability by proxy

Attribution credits the last click and rewards the channels closest to the switch, leaving brand and offline investment unmeasured, so budget drifts toward what reports well rather than what grows the base.

The opportunityMarketing mix modelling across paid, owned and offline, with a scenario planner to test allocation before the money is committed.

FraudBad accounts caught after the write-off

Identity fraud, meter tampering and serial non-payment surface once the debt is already on the balance sheet. Rules-based checks flag the obvious cases and let the patterns that matter through, while genuine customers get caught in the friction.

The opportunityProbabilistic models score every application and account for fraud and payment risk, so exposure is priced at the point of sale rather than recovered later.

ExecutionLean teams, manual campaign cycles

Commercial teams know which accounts need attention long before they can act. Segment pulls, list exports and channel handoffs absorb the week and cap how many journeys a small team can run.

The opportunityPrioritised next best action delivered daily into your channels, so journeys run driverless and the team supervises rather than assembles.

Trusted by innovators, disrupters and intelligent brands

We deliver predictions that power world-class brands to create exceptionally personalised experiences.

What utility brands run with us

AtlasDecision intelligence platformCVMAcquisition GrowthAIPredictive ModelsForecastingSegmentationThe self-optimising AI engine for subscriber growth. Turn complex customer data into automated, high-impact decisions that reduce churn, lower acquisition costs, increase LTV and maximise ROI.Explore Atlas ScoutEntry point to AI-ready CVMBIReportingData LakeAIMarketing AutomationSegmentationFor AI-ready customer management. BI reporting, customer data, and marketing automation in one streamlined platform to accelerate data-driven growth.Explore Scout CompassMarketing mix modellingMarketing Mix ModellingScenario PlanningChannel AttributionMedia ROIAI-powered marketing mix modelling to plot the true ROI of your campaigns. Optimise channel allocation and media spend to drive long-term, profitable customer growth.Explore Compass Data and AI Consulting ServicesAdvisory and deliveryData Maturity AssessmentData GovernanceDataOpsAI Use Case ValuationRoadmap DeliveryLeveraging our industry, domain, and operational expertise together with the Atlas platform architecture, we support leaders to accelerate data maturity and gain the competitive advantage.Explore our consulting services

Proven results

10xROI over two years

Driverless CVM across a portfolio of consumer brands.

A multi-brand group added an automated, AI-powered decisioning layer across its consumer brands, growing efficiency and effectiveness across the CVM programme with no increase in headcount or operating expense. Marketing teams now spend less time hunting for insights and more time acting on them.

StrategyDecision PathCVM • NBAGrowthAtlas Communicate

Specifics: Prioritise, Upsell Impact, Joiner Impact, Loyalty Impact, Churn Impact

Key results

3 months: To implement the driverless, ML-powered CVM programme
+10 models: Machine learning models trained, powering +20 journeys
1m+: Predictions made weekly to identify opportunity and risk

14%increase in conversions

Increase in conversions.

The result of a reallocated media mix and spend. Budget moved to the channels proven to convert.

StrategyDecision PathCVM • NBAGrowthAtlas Communicate

Specifics: Channel Attribution, Budget Optimisation, Growth Impact

Key results

14%: Increase in conversions from a reallocated media mix
$0: No additional budget required
6 models: 6 models operationalised within 6 months

47%budget efficiency improvement

Achieved with the Scenario Planner.

Budget, pricing and strategy changes were tested before committing spend.

StrategyDecision PathCVM • NBAGrowthAtlas Communicate

Specifics: Scenario Planning, Pricing Sensitivity, Spend Efficiency

Key results

47%: Budget efficiency improvement
2x: Doubled acquisition within the financial year.
29%: Incremental budget to drive growth.

Talk to us about your base

Discover how AI can transform your organisation. If you’re a business or IT decision maker, get in touch to explore the possibilities.