AI-Powered Cold Email System Scales Outreach for French Industrial Manufacturer
Varvier Filtration, a French industrial filtration company, couldn't scale their cold outreach manually. We built a fully automated lead sourcing, AI personalisation, and smart reply handling system — including intelligent out-of-office detection that reschedules follow-up for the exact day the prospect returns.
Quick Overview
The Challenge
A Specialist Market That Requires Scale to Win
Manual cold outreach was the team's only method. Salespeople manually identified leads from company directories and LinkedIn, manually found contact emails, wrote personalised cold emails, tracked replies in their inbox, and manually decided when and how to follow up. At best, a salesperson could reach 10–20 prospects per week.
In a specialist B2B market, that volume wasn't enough. Sales cycles are long. Not every prospect is immediately ready. You need enough simultaneous conversations in play to hit consistent meeting targets — and manual outreach simply can't generate that volume without proportionally scaling the sales team.
Key Pain Points:
- 10–20 prospects per week — insufficient volume for growth targets
- Manual lead sourcing consuming significant salesperson time
- Inconsistent follow-up — prospects falling out of sequences
- No edge case handling — out-of-office replies ignored, interest signals missed
- Scaling required hiring more salespeople (costly and slow)
The Solution
A Fully Automated Outreach Machine — From Lead to Booked Meeting
Every day, the system pulls a fresh batch of prospects from Apollo matching Varvier's ICP criteria — industry, company size, location, job title. It cross-references each contact against the CRM to skip anyone already contacted. For each new prospect, an AI agent visits their company website, reviews recent content and company profile, and generates a personalised opening line for the cold email.
The personalised contact is added to an Instantly campaign which manages sending schedule, domain rotation, and deliverability. Replies are monitored and classified by AI: interested leads are surfaced to the sales team immediately, unsubscribes are processed, and — the detail that most outreach tools miss — out-of-office replies are parsed for return dates, with the prospect automatically rescheduled to re-enter the sequence on the day they return.
How It Works:
- Daily: Apollo API pulls 50+ new ICP-qualified prospects, deduplicated against CRM
- AI agent visits each company website and generates personalised email opening
- Contacts added to Instantly campaign with personalised first line
- Instantly manages sending schedule, domain rotation, deliverability
- All replies classified by AI: interested / not interested / out-of-office / neutral
- Interested replies surfaced to sales team immediately
- Out-of-office replies: return date extracted, prospect rescheduled automatically
- Unsubscribes processed; sequence paused for non-committal replies
Implementation: Full system build
Technical Challenge: The out-of-office reply handling required natural language parsing to extract return dates from varied out-of-office message formats, convert them to a scheduled re-entry date, and pause the contact's sequence until that date without any manual intervention. This edge case is where most automated outreach systems fail.
The Results
Volume Scaled 5–10x. Every Reply Handled Intelligently.
| Metric | Before | After | Impact |
|---|---|---|---|
| Daily outreach volume | 10–20 prospects/week | 50+ personalised contacts/day | 5–10x volume increase |
| Lead sourcing | Manual (hours of salesperson time) | Fully automated | Salespeople focus on conversations |
| Reply handling | Manual inbox management | AI-classified, prioritised | Zero missed opportunities |
| Out-of-office handling | Ignored — prospects lost | Re-scheduled to return date | No prospect falls through |
The out-of-office handling is a detail that produces outsized returns. In B2B outreach, a prospect who is away when your email arrives and doesn't receive a timely follow-up when they return is effectively a lost lead. Automatically rescheduling those contacts to re-enter the sequence on the day they're back converts prospects that manual outreach consistently loses.
Hear From the Client
Frequently Asked Questions
How does the AI personalisation compare to manually written opening lines?
For high-volume outreach, AI personalisation built from real company data (website content, recent news) performs comparably to manual research-based personalisation — and dramatically better than generic templates. The AI isn't writing generic "I came across your company" openers; it's referencing specific, relevant details about the prospect's business.
Does this work for non-French markets?
Yes. The system architecture — Apollo sourcing, AI personalisation, Instantly sending, intelligent reply handling — works for any geography and any B2B ICP. Language of outreach emails is configurable.
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