Background
This adviser is a self-employed protection specialist based in Birmingham, operating as an appointed representative of a national network. After spending eight years as an employed adviser at a large national brokerage, they decided to go self-employed in mid-2025. They had deep product knowledge, strong relationships with insurers, and a track record of excellent client outcomes. What they didn't have was a pipeline.
As an employed adviser, leads had always been provided by the company. Going self-employed meant building a client acquisition channel from scratch. Referrals would take time to develop. Networking was slow. They needed a source of business that could generate income quickly enough to cover their costs while they built longer-term referral relationships.
The Challenge
Starting a protection-focused practice from zero presents specific challenges:
- No existing client base: Unlike mortgage brokers who often leave employment with a trail book, protection advisers typically don't have a portable client base generating renewal income from day one.
- Lower average case value: Individual protection policies generate smaller commissions than mortgage cases, typically 80-200 pounds per policy. This means you need higher volume to generate viable income.
- Cash flow pressure: With no existing income and fixed monthly costs (network fees, PI insurance, compliance, technology), the clock was ticking from day one.
- Solo operation: As a sole trader, every hour spent on marketing, admin, or lead generation was an hour not spent advising clients. Time management was critical.
The Solution
We designed a lead programme focused on volume and efficiency, matching the economics of protection sales:
- 25 life insurance leads per week, covering term life, decreasing term, and family protection enquiries across the West Midlands
- 10 over-50s life insurance leads per week, a high-conversion segment with straightforward advice needs
- All leads exclusive and delivered via SMS and email simultaneously, enabling sub-three-minute response times
The adviser invested their first week entirely in setting up systems before any leads were delivered. They configured their CRM (Pipedrive) with automated task creation, set up SMS templates for instant first-touch messages, created a structured follow-up calendar, and prepared scripts for different policy types.
This preparation was unusual. Most advisers want leads immediately. But this adviser's experience told them that systems would be the difference between converting 8% and converting 18% of their leads. They were right.
The Results
From the first week, the adviser's response times were exceptional. Their average time from lead notification to first call attempt was under three minutes. When they couldn't reach someone by phone, an SMS went out within 30 seconds. This discipline produced contact rates that were consistently above 80%, well above the industry average of 55-65%.
The over-50s leads proved to be particularly strong performers. This demographic tends to be available during the day, answers phone calls more readily than younger consumers, and often has a clear and immediate need for cover. The adviser's conversion rate on over-50s leads averaged 24%, compared to 16% on standard life insurance leads.
Growth trajectory:
- Month 1: 140 leads, 15 policies, 1,950 in commission
- Month 2: 140 leads, 21 policies, 2,730 in commission
- Month 3: 140 leads, 25 policies, 3,250 in commission
- Month 4: 140 leads, 28 policies, 3,640 in commission
- Month 5: 140 leads, 30 policies, 3,900 in commission
- Month 6: 175 leads (volume increase), 34 policies, 4,420 in commission
- Month 7: 175 leads, 37 policies, 4,810 in commission
- Month 8: 175 leads, 40 policies, 6,200 in commission (higher-value cases in pipeline completing)
By month eight, the adviser was generating over 6,000 pounds per month in commission from leads alone, plus a growing number of referrals from satisfied lead-sourced clients. Their total monthly commission had reached approximately 7,500 pounds, comfortably covering all business costs and providing a solid income.
The cost economics were compelling. At 16 pounds per lead on average and a 19% conversion rate, their cost per acquired client was approximately 84 pounds. With an average commission of 155 pounds per policy, every pound spent on leads was generating roughly 1.85 pounds in commission, with additional lifetime value from policy renewals.
What Made the Difference
Three factors stood out in this adviser's approach:
Relentless speed. Three-minute response times weren't occasional. They were consistent, every day, for every lead. The adviser treated their phone like a lifeline, and it was. Their contact rate of 80%+ was the foundation of everything else.
System discipline. Every lead followed the same process. No exceptions. No shortcuts on busy days. The CRM tracked every attempt, every outcome, every follow-up task. Nothing fell through the cracks because the system didn't allow it.
Product specialisation. By focusing exclusively on protection, the adviser became extremely efficient at the advice process. They knew the products inside out, could quote accurately from memory, and could complete most cases within 48 hours of the initial consultation. This efficiency meant they could handle 40+ cases per month as a sole trader, a volume that would overwhelm most advisers juggling multiple product areas.
'Going self-employed was the scariest decision I've ever made. Having a reliable lead source from day one made it possible. I knew that if I worked the leads properly, I'd generate enough business to pay my bills. That certainty gave me the confidence to actually make the jump. Eight months in, I'm earning more than I was as an employee, I have complete flexibility, and the pipeline keeps growing.'
- Protection Specialist, Birmingham
The adviser is now considering hiring an administrator to handle paperwork and follow-up tasks, which would free up time to handle an even larger lead volume. They're also adding income protection leads to diversify their product mix and increase average case values.