The Company That Did Everything Wrong, Then Right
A commercial property maintenance company in London had been running outbound for 18 months before they called us. In that time, they'd spent £45,000 across two agencies and a DIY period. Pipeline generated from outbound: effectively zero.
When we looked at what they'd done, the problem was immediately obvious. They'd started with lists, not with understanding. They'd written emails before they'd validated their ICP. They'd bought a sending tool before they'd set up proper infrastructure. They'd measured the wrong things and optimised for activity metrics that had no relationship to revenue.
Three months after rebuilding from the foundation, they had 14 qualified meetings on the calendar, £2.3M in active pipeline, and a clear model for what to scale.
The 90-day framework below is exactly what that rebuild looked like.
Why Most Outbound Programs Start Wrong
There's a seductive logic to the way most companies start outbound:
- Identify a market
- Buy or scrape a list
- Write some emails
- Send them
- Wait for meetings
This approach fails because it skips the most important step: understanding who actually buys, why they buy, and what triggers them to move.
Without that understanding, you're not running outbound. You're running a volume experiment hoping to get lucky. And the math almost never works out.
The companies that build durable outbound pipelines invest the first 30 days in understanding before they send a single email. That investment pays back in the next 60 days.
Days 1-30: The Foundation
Week 1: ICP Validation
Don't start with "who should we target." Start with "who has actually bought from us, and what do they have in common?"
Pull your 10 best customers. For each one, document:
- Company size (employees and revenue)
- Industry and sub-industry
- Geography
- The specific pain they had before they bought
- What triggered them to start looking
- Who was involved in the decision
- How long the sales cycle was
Look for patterns. The patterns are your ICP. Not a LinkedIn search filter, a behavioral model of the companies most likely to buy, and why.
If you're pre-revenue or don't have enough customers to analyze, use your closest analogues: competitors' case studies, industry reports, and conversations with 10 target prospects before you run a single campaign.
Week 1 output: A written ICP document with 3-5 sub-segments ranked by conversion probability.
Week 2: Infrastructure Setup
This is the step everyone skips. Don't.
Before sending a single email:
Domain setup:
- Purchase 3-5 sending domains (variations of your brand: getyourbrand.co, trybrand.io, etc.)
- Configure SPF, DKIM, and DMARC on every domain
- Set up MX records (domains must receive replies)
- Create professional email addresses on each
Domain warmup:
- Begin automated warmup on all domains simultaneously
- Minimum 14 days before any cold outreach
- Target: 20-40 emails/day per domain by end of warmup
CRM and sequence tool:
- Set up proper attribution tracking before campaigns start
- Every meeting booked needs to be tagged to a campaign, ICP segment, and sequence variant
Week 2 output: Sending infrastructure ready for warmup. CRM configured for outbound attribution.
Weeks 3-4: List Building and Messaging
List building (not list buying):
Build your prospect list using multiple sources. A single database will have 30-40% coverage gaps in most markets. Build from two or three sources and cross-reference.
For each prospect, verify:
- Current employment (LinkedIn, not just the database)
- Email validity (ZeroBounce or NeverBounce before adding to sequence)
- Decision-making authority (are they actually the buyer?)
Target quality: 500-1,000 highly qualified contacts for your first campaign. Not 10,000 mediocre ones.
Messaging development:
Write three distinct messaging approaches for your first test:
Approach A, Pain-first: Lead with the specific problem your ICP experiences. No mention of your solution until sentence 3.
Approach B, Proof-first: Lead with a specific result you've achieved for a similar company. Short, specific, credible.
Approach C, Trigger-based: Connect to a buying signal (hiring pattern, expansion, regulatory change). The email is relevant because something just happened in their business.
Each approach should be 50-75 words. One CTA: a 15-20 minute conversation.
Weeks 3-4 output: 500-1,000 verified prospects ready for sequencing. Three messaging variants ready to test. Infrastructure warmed up and ready.
Days 31-60: The Launch and Learn Phase
The First Campaign
Launch all three messaging variants simultaneously. Split your list evenly, approximately 150-300 contacts per variant.
Sending schedule: Days 1, 3, 7, 14, 21. Five touches maximum before removing from sequence.
Day 1: Primary email (your A/B/C variant)
Day 3: Brief follow-up referencing the first email. Different angle.
Day 7: Third touch with a new hook, a case study, a data point, a specific question.
Day 14: Breakup email. Acknowledge it might not be the right time. Leave the door open.
Day 21: Final follow-up. Short. Specific. Low friction.
Send schedule: Tuesday-Thursday, 7-9 AM in the prospect's local time zone. Never Monday morning (inbox overload) or Friday afternoon (mentally checked out).
Week 5-6: Read the Data
After 2-3 weeks of sending, you'll have enough data to make decisions.
What to look for:
| Metric | Good Signal | Problem |
|---|---|---|
| Open rate | 40-60% | Below 30% = deliverability issue |
| Positive reply rate | 3%+ | Below 2% = messaging or targeting |
| Meetings booked | 0.5%+ of sent | Below 0.3% = qualification problem |
The most important question: Which variant is generating positive replies? Double down on it. Kill the others.
Common findings at this stage:
- Trigger-based messaging almost always outperforms the other variants
- Pain-first works well when the pain point is highly specific
- Proof-first works well when the proof is directly relevant to the prospect's situation
Weeks 7-8: Optimize and Expand
Based on the data from weeks 5-6:
- Keep the winning variant. Run it at scale.
- Rewrite the losing variants. Use what you learned about what resonates.
- Expand the prospect list. Add 500 more contacts to your best-performing ICP segment.
- Test a new channel. Add LinkedIn outreach to your top 100 prospects as a second touchpoint.
Days 31-60 output: One winning messaging variant. Early pipeline from first qualified meetings. Data to inform Days 61-90.
Days 61-90: Scale What Works
The Multi-Channel Layer
By day 60, you should have data showing which ICP segment and messaging approach is generating the highest reply rate. Now you add channels.
For your top 100 active prospects:
LinkedIn: Connect with a personalized note referencing something specific about their company. Follow up with a value message 3 days after connection. The goal is recognition, your name in their inbox and on their LinkedIn simultaneously.
Phone: For prospects who opened 2+ emails without replying, a call can bridge the gap. Reference your emails when you call. "I sent you a couple of emails about [topic], wanted to follow up directly since this tends to be faster."
The multi-channel layer typically increases meeting booking rate by 40-80% on top of email alone.
Systemizing What Works
The documentation step that most teams skip:
Document exactly what's working: which ICP segment, which messaging variant, which channel sequence, which subject lines, which send times. This becomes your repeatable playbook.
Without documentation, knowledge lives in whoever ran the campaign. When they leave, or when you try to hand this to a new person, you start from zero again.
The metrics dashboard:
By day 90, you should have weekly tracking on:
- Positive reply rate by segment and variant
- Meeting booking rate
- Meeting show rate
- Pipeline created
- Cost per qualified meeting
What the First 90 Days Should Produce
Realistic benchmarks for a well-executed 90-day outbound launch:
| Metric | Conservative | Strong |
|---|---|---|
| Emails sent | 2,000-4,000 | 4,000-8,000 |
| Positive replies | 60-120 | 160-400 |
| Meetings booked | 10-20 | 25-50 |
| Qualified pipeline | £200K-500K | £500K-1.5M |
These numbers assume:
- A validated ICP with genuine buying signals
- Proper infrastructure (no deliverability problems)
- Messaging that is specific and relevant
- A responsive team that follows up quickly on every reply
If any of these assumptions break, the numbers deteriorate quickly. Deliverability problems alone can reduce meeting booking rate by 60-70%.
The Investment That Makes It Work
The company from the opening of this article, the London property maintenance company, didn't succeed on their third try because they found better emails. They succeeded because they built the right foundation first.
ICP validation before any list building. Infrastructure before any sending. Three messaging variants tested simultaneously. Data reviewed weekly, not monthly. Multi-channel added only after the single-channel data was clear.
It sounds obvious when written out. But almost no one does it this way, because the pressure to "just start sending" is enormous.
If you're starting outbound from zero, or rebuilding after a campaign that didn't work, the 90-day framework above is the fastest path to real pipeline. We've built this for companies in commercial property, events production, logistics, manufacturing, and professional services. Start with a strategy session and we'll tell you exactly what the first 30 days look like for your specific business.