CRM Rebuild & Data Hygiene
New 11-signal behavioral scoring model. Clay-powered deduplication resolved 34% duplicate rate and appended data to 1800+ contacts.
AI & Intelligence / Case study 03
Upsell Revenue in 90 Days
CRM Data Accuracy Lift
Database Reactivation ROI
Premium Package Attach Rate
01 / The Problem
Lotus Lens had a CRM with ~1800 contacts spanning 8 years. Contacts weren't segmented, deal stages stale, zero automation. Premium upsells sold entirely by chance, dependent on whether a rep mentioned them on a call. Highest-margin offerings had no systematic path to market.
02 / Our Approach
New 11-signal behavioral scoring model. Clay-powered deduplication resolved 34% duplicate rate and appended data to 1800+ contacts.
Fine-tuned on 8 years of booking data to predict premium package likelihood. Powers automated upsell sequences at key milestones.
Distinct campaigns for corporate clients, single-event bookers, and cold warm leads, each with custom messaging and offer logic.
Sequences fire at 21-day, 7-day, and 48-hour pre-event milestones with AI-predicted package recommendations per profile.
03 / Engagement Timeline
850 dormant contacts, zero re-engagement logic. 34% duplicate rate suppressing deliverability and score accuracy.
Clay deduplication pass. 11-signal scoring model built. Historical deal data migrated and re-categorized.
AI model fine-tuned on booking history. Three reactivation tracks launched. Upsell triggers at 21-day, 7-day, and 48-hour milestones.
Weekly campaign reviews. AI model retrained on early closed-won data for improved recommendation accuracy.
04 / Tech Stack
Rebuilt with new pipeline stages, lifecycle scoring, and behavioral properties driving AI inputs.
Private package recommendation model fine-tuned on 8 years of booking data.
Enrichment and dedup engine. Resolved 34% duplicate rate, appended data to 1800+ contacts.
3-track reactivation system with behavioral triggers on HubSpot data.
Internal dashboard: reactivation performance, AI accuracy, and CRM health in real time.
Captures revisits, gallery downloads, and events to feed the AI scoring model.
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