Fashion Store - Automated CRM That Doubled the Close Rate
How an online fashion store turned dozens of 'cold' leads into paying customers with a sophisticated automated CRM system.
Shira K.
New Lead
Avi M.
Interested
Noa R.
Contacted
David L.
Proposal
The Challenge
A growing online fashion store with a unique collection received dozens of new leads per month through Instagram, website, and direct inquiries - but most fell through the cracks.
The team kept leads in a spreadsheet and updated it manually. There was no consistency: a lead asking for pricing on Friday sometimes got a reply on Tuesday. Without precise tracking, many leads went cold and were lost forever.
The team grew but sales efficiency didn't - because every rep managed leads their own way. No unified model, no priority system, no automation. ROI on the ad spend was lower than it should have been.
The Solution
Automated CRM with Lead Scoring, Triggers & Targeted Messages
- Full diagnosis of the customer journey - lead sources, purchase stages, abandonment factors
- Custom CRM build and implementation with clear stages: new lead, contacted, interested, proposal, closed
- Lead scoring engine that ranks leads by activity, source, and questions asked
- Automated message sequences: WhatsApp and Email tailored to each stage
- Cart abandonment automation - targeted message 2 and 24 hours after abandonment with discount code
- Manager dashboard with pipeline data, conversion funnel, and per-rep performance
- Full integration with Instagram DM and e-commerce site for automatic lead capture
Project Timeline
Customer Journey Mapping & Diagnosis
Analysis of all contact channels, review of existing leads in spreadsheet, identifying abandonment points and key bottlenecks.
CRM & Automation Design
Defining pipeline stages, building the scoring engine, writing all message sequences.
Setup & Integrations
CRM setup, WhatsApp Business connection, Email, Instagram, and website integration.
Team Training
Full training session for the sales team, implementing new workflows and usage guide.
Monitoring & Optimization
Weekly tracking of conversion rates, updating message scripts based on open/response data.
Measured Results
What We Achieved
The first month after implementation produced the store's highest sales month ever. The reason wasn't a higher ad budget - it was better utilization of every lead that was already coming in. The automation 'revived' 28% of the cold leads sitting in the spreadsheet. All of that - revenue that could have been lost forever.
Before, I felt like we were burning money on ads and losing half the leads. Now I see every lead, know exactly where they are, and the system works for me even when I'm sleeping.
Want Similar Results?
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