AI & Intelligence · Case Study 03

Untapped
Revenue
Uncovered.

Client

Lotus Lens Studio

Event Photography · $6.2M

Duration

14 Weeks

Technical RevOps & CRM

Database

1800+ Contacts

8 Years of History

$18.5K
Upsell Revenue in 90 Days
61%
CRM Data Accuracy Lift
3.8×
Database Reactivation ROI
22%
Premium Package Attach Rate

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.

CRM at 34% duplicate rate — suppressing deliverability

Premium package attach rate <9% — no systematic upsell path

850 dormant contacts with zero re-engagement logic

Database Segments at Audit

SegmentContactsLast ActiveReactivated
Past Corporate Clients7406–18 mo31%
Single-Event Bookers97512–36 mo18%
Warm Leads — Never Closed2253–9 mo44%

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.

Engagement Timeline

14 Weeks, 4 Phases

CRM Audit

Wk 1–2

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

Data Architecture

Wk 3–4

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

AI & Automation

Wk 5–9

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

Optimization

Wk 10–14

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

Tech Stack

Tools & Why

HubSpot CRM

CRM

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

OpenAI API

AI

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

Clay

Data

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

ActiveCampaign

Email

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

Retool

Analytics

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

Segment

Tracking

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

Outcomes

What
Changed

$18,500 in upsell revenue within 90 days from AI-powered package recommendation sequences.

CRM data accuracy improved 61% — a reliable revenue asset instead of a liability.

Database reactivation generated 3.8× ROI across all three campaign tracks.

Premium attach rate: 9% → 22% within 60 days of behavior-triggered upsell launch.

44% reactivation rate on cold warm leads — the highest-performing segment.

"

SmartSequence helped us reconnect with cold leads and turn those conversations into repeat business. They also helped us better understand what our clients wanted, so we could tailor our services in a way that felt more relevant. It’s changed how we look at our pipeline and client relationships.

L

Studio Director

Lotus Lens Studio · Event Photography