Message Template: Insurance Broker Lead Intake Automation
Campaign: Insurance Workflow Automation (Brainforge + Contextual)
Audience: Head of Operations, Underwriting leads, Marketing at commercial insurance brokerages
Channel: LinkedIn (HeyReach)
Last Updated: 2026-02-03
Overview
Five-step sequence: (I) Connection request, (II) Follow-up 5–7 days, (III) ROI & qualification when interested, (IV) Case study & demo pitch, (V) Thank you / next steps. Multiple options per step with selection logic. Placeholders: {{First Name}}, {{Company Name}}, {{Estimated Volume}}, {{Hours Saved}}, {{Broker Rate}}, etc.
Prospect profile: VP Operations, COO, Managing Partner; commercial insurance brokerage; 20–100 employees, 50M revenue; 50+ leads/month (estimate if unknown).
I. Initial connection request
When: First touch when prospect identified.
Option 1 — Mutual connection + industry focus
Hi {{First Name}}, trying to grow my network in the commercial insurance sector. I've been building automated risk profile assessments, want to actually see if it's helpful to experts in the field. Would love to connect!
Use when: Mutual connection, clear VP Ops/COO title, commercial brokerage, recent LinkedIn activity (<30 days).
Option 2 — Pain point hook
Hi {{First Name}}, noticed {{Company Name}} is in commercial insurance. We help brokerages create cited coverage and risk profiles in minutes. Would love to connect!
Use when: No mutual, commercial brokerage confirmed, lead with pain point.
Option 3 — Growth/scaling angle
Hi {{First Name}}, saw {{Company Name}} is growing. We help commercial insurance brokerages scale lead qualification without adding headcount. Mind if I connect?
Use when: Growth stage (hires, expansion, funding).
Selection: Mutual + clear title → Option 1. No mutual + pain focus → Option 2. Growth signals → Option 3.
II. Follow-up (5–7 business days after connection)
Option 1 — Time savings + volume
Hi {{First Name}}! Thanks for connecting.
Quick question: How long does it take your team to create a risk profile from a new lead? Most commercial brokerages we work with spend 2-3 hours per lead on manual document extraction and email drafting.
We help brokerages process 50+ leads/month cut that time from hours to minutes. Our AI extracts risk profiles with explicit source citations, generates submission-ready email drafts, and identifies gaps—all from messy, partial documentation.
At {{Estimated Volume}} leads/month, that's {{Hours Saved}} hours/month saved. Worth a quick 15-minute chat? Happy to share a quick demo if helpful.
Placeholders: {{Estimated Volume}} (e.g. 50–100 if unknown), {{Hours Saved}} = (Estimated Volume) × 2.
Option 2 — Competitive pressure + quality
Hi {{First Name}}! Thanks for connecting.
I work with commercial insurance brokerages who are struggling with the same challenge: cold leads arrive with messy documentation, and it takes hours to extract risk profiles and draft submissions. Meanwhile, competitors are moving faster.
We help brokerages transform zero-to-one lead qualification from hours to minutes. Our system extracts structured risk profiles with explicit source citations, generates submission-ready email drafts, and flags missing information—even with partial documentation.
The result? Faster time-to-submission, higher quality submissions, and the ability to process 2-3x more leads with the same team. Worth a 15-minute chat to see if this could help {{Company Name}}?
Use when: Competitive pressure, quality/specialty focus.
Option 3 — ROI (larger brokerages)
Hi {{First Name}}! Thanks for connecting.
We help commercial insurance brokerages automate lead qualification and risk profile extraction. Here's the math:
If you process {{Estimated Volume}} leads/month and spend 2-3 hours per lead on manual extraction, that's {{Hours/Month}} hours/month. At {{Broker Rate}}/hour, that's ${{Monthly Value}}/month in time.
Our service costs $10k/month but saves ${{Monthly Savings}}/month in time alone—plus faster submissions mean higher close rates and more revenue. Worth a quick chat to see if the numbers work for {{Company Name}}?
Placeholders: {{Hours/Month}} = (Volume) × 2.5; {{Broker Rate}} e.g. 10k. Use when: 100+ employees, finance/ROI-focused.
Selection: Standard → Option 1. Competitive/quality → Option 2. Larger, ROI-focused → Option 3.
III. ROI & qualification (when they respond positively)
Option 1 — Qualification questions + ROI
Great to hear you're interested! A few quick questions to see if this would be a good fit:
1. How many new leads do you typically process per month?
2. How long does it currently take to create a risk profile from a new lead?
3. What's your biggest challenge with lead qualification right now?
Based on your answers, I can calculate the exact ROI. Most brokerages we work with save 2-3 hours per lead, which at 50+ leads/month typically yields $7,500-$15,000/month in time savings alone. Happy to walk through the numbers on a quick call if helpful.
Option 2 — Address objection
Customize to their concern (volume, readiness, timing). Examples in full playbook in campaign brief.
Selection: Interested, need qualification → Option 1. They raise objection → Option 2.
IV. Case study & demo (services pitch)
Option 1 — Problem–solution
So here's the challenge most commercial brokerages face: Cold leads arrive with messy documentation—cyber policies, certificates, service agreements, maybe a conversation transcript. Your team spends 2-3 hours per lead extracting risk categories, coverage details, and exposures, then drafting submission emails from scratch.
We solve this by automating the zero-to-one process: extract structured risk profiles with explicit source citations, generate submission-ready email drafts grounded in actual documentation, identify gaps, and work with partial documentation. Lead qualification goes from hours to minutes. At 75 leads/month, that's 150+ hours/month saved. Want to see a quick demo? I can show you how it works with a sample lead.
Option 2 — ROI-focused pitch
Use their volume and broker rate; show current state vs automation, time saved, net ROI. (Full math in campaign brief.)
Option 3 — Pilot program
Phase 1: Pilot 5–10 leads, 2–3 weeks. Phase 2: Scale if successful. Low-risk, prove value first.
Selection: Standard pitch → Option 1. ROI-driven → Option 2. Hesitant → Option 3.
V. Thank you / next steps (decline or pause)
Option 1 — Keep door open
No problem at all. I appreciate you taking the time to consider this. If things change or you'd like to revisit when you're processing 50+ leads/month, feel free to reach out. Best of luck with {{Company Name}}!
Option 2 — Resource offer
Offer one-pager and ROI framework for future use.
Option 3 — Referral request
Ask if they know other brokerages who might be a good fit.
Selection: Standard decline → 1. Interested but not ready → 2. Good rapport → 3.
Timing
- Connection: Immediate when identified.
- Follow-up: 5–7 business days after connection accepted.
- ROI/Qualification: When they respond or show interest.
- Case Study/Demo: After qualification.
- Thank you: When conversation ends.
Related
- Campaign brief:
gtm/campaign-launch/campaigns/insurance-broker-lead-intake.md(full playbook with all options, ROI math, and selection logic) - Message templates README