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AI & Intelligence / Case study 03

Untapped Revenue Uncovered.

Client
Lotus Lens Studio
Industry
Event Photography · $6.2M
Duration
14 Weeks
$18.5K

Upsell Revenue in 90 Days

61%

CRM Data Accuracy Lift

3.8×

Database Reactivation ROI

22%

Premium Package Attach Rate

01 / The Problem

A Profitable Database Ignored

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

AI-Powered Reactivation Engine

01

CRM Rebuild & Data Hygiene

New 11-signal behavioral scoring model. Clay-powered deduplication resolved 34% duplicate rate and appended data to 1800+ contacts.

02

Private AI Recommendation Model

Fine-tuned on 8 years of booking data to predict premium package likelihood. Powers automated upsell sequences at key milestones.

03

3-Track Reactivation System

Distinct campaigns for corporate clients, single-event bookers, and cold warm leads, each with custom messaging and offer logic.

04

Upsell Trigger Architecture

Sequences fire at 21-day, 7-day, and 48-hour pre-event milestones with AI-predicted package recommendations per profile.

03 / Engagement Timeline

14 Weeks,
4 Phases

Wk 1–2

CRM Audit

850 dormant contacts, zero re-engagement logic. 34% duplicate rate suppressing deliverability and score accuracy.

Wk 3–4

Data Architecture

Clay deduplication pass. 11-signal scoring model built. Historical deal data migrated and re-categorized.

Wk 5–9

AI & Automation

AI model fine-tuned on booking history. Three reactivation tracks launched. Upsell triggers at 21-day, 7-day, and 48-hour milestones.

Wk 10–14

Optimization

Weekly campaign reviews. AI model retrained on early closed-won data for improved recommendation accuracy.

04 / Tech Stack

Tools
& Why

CRM

HubSpot CRM

Rebuilt with new pipeline stages, lifecycle scoring, and behavioral properties driving AI inputs.

AI

OpenAI API

Private package recommendation model fine-tuned on 8 years of booking data.

Data

Clay

Enrichment and dedup engine. Resolved 34% duplicate rate, appended data to 1800+ contacts.

Email

ActiveCampaign

3-track reactivation system with behavioral triggers on HubSpot data.

Analytics

Retool

Internal dashboard: reactivation performance, AI accuracy, and CRM health in real time.

Tracking

Segment

Captures revisits, gallery downloads, and events to feed the AI scoring model.

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