Today we share a case study on our work with LPG Systems, a leader in connective tissue manipulation and cellular stimulation. LPG faced outdated prospect data that hindered marketing and sales. We applied advanced AI techniques to clean, enrich, and rank prospects, improved targeting, and laid groundwork for expansion across subsidiaries.
The problem
LPG supplies technology to beauty, health, and wellness businesses. Therapists and health professionals use their treatments for slimming, anti-aging, and therapeutic needs. LPG had a ranked target list, but some data was old, out-of-date, and inaccurate.
The project
Primary users were LPG UK marketing and sales; secondary users included decision-makers at other LPG subsidiaries who may adopt the approach later. The scope included:
Data cleaning (subset of 3,000 prospects): verify active businesses in the sourced list.
Enrichment: emails, addresses, phones, key contacts.
Prospect ranking with AI by attractiveness and odds of success.
Additional prospect identification via third-party databases.
Key accounts: chains of more than two institutes/salons (same owner).
CRM integration: sync with LPG UK Odoo.
Monitoring and reporting on data quality and progress.
Potential expansion to the remaining ~17,000 records and other subsidiaries.
“We were very impressed with the results. NDI’s expertise in applying advanced AI techniques to the dataset was very impressive and resulted in valuable, actionable business data.”
