Increasing utilities annual contract values 2.5x using predictive lead qualification and CRM data analysis.

Comercial Intelligence - The key to outperform in a competitive energy market.

CRM data and lead data are often found in silos where there is no possibility to connect and extract information. We performed data integration work that allowed us to find patterns about the best sectors for NovaLuz.

Data integration. Fundamental work.

Before applying any predictive model or going into deep data analysis, we performed a data integration covering more than 115 lead data siloed spreadsheets and Salesforce CRM data.

“Most comercail systems aren’t broken. They’re just not working together. Integration isn’t a bonus. It’s the foundation for scale.”

Finding the right customers. Predicting Energy Consumption.

Our focus was to help increase contract values by detecting the right segments that would become top consumers. We analyzed CRM data to find the right segments and sub-segments to focus the commercial efforts.

Our predictive models were able to provide high-level accuracy and a very detail-specific criteria to select the right customers.

2.5x Median Contract Value.

Our AI models and segmentations allow us to increase the expected annual contract value by 2.5 times and increase the average contract duration by more than 20%.