BlastPoint

Founded 2016

Predict customer behavior for utilities and banks

Pricing model

Demo

You can use BlastPoint to connect your internal customer data with external demographic information to predict customer behavior. The software builds lookalike models and machine learning algorithms that identify households likely to adopt specific programs, such as energy efficiency incentives or budget billing. Utility companies, credit unions, and banks can spot customer churn risks early, target marketing campaigns to specific household segments, and reduce customer acquisition costs. It also helps your call centers direct vulnerable customers toward assistance programs and increase self-service digital adoption across channels.

What BlastPoint does

Generate lookalike customer segments for targeted outreachConnect internal CRM data with external demographic dataExport targeted marketing lists to campaign systems via SFTPIdentify households at risk of account closure or service churnTrack customer adoption rates across specific incentive programsScore customer accounts based on propensity to use self-service billingPredictive customer modeling tailored for utilities and financial institutionsThird-party demographic and household-level data enrichmentLookalike modeling to pinpoint high-propensity customer segmentsChurn risk identification for proactive customer retentionDirect integrations with enterprise ERPs and CRMs via API and SFTPHousehold-level daily engagement and adoption predictionsAssistance program propensity mapping for low-income segments