9 SQLs per month for a managed detection & response (MDR) provider
Selling cybersecurity into mid-market CTOs and CISOs without sounding like every other vendor in their inbox.
A 55-person UK-based MDR provider wanted to break out of channel-only growth and build a direct outbound motion into mid-market CTOs and CISOs across the UK and Nordics. LinkedIn was the only channel they trusted not to damage brand. We ran the full motion and delivered a steady 9 SQLs per month with a 22% close rate.
THE CHALLENGE
What we walked into
- Cybersecurity is the single most saturated B2B inbox category — CISOs receive 30+ vendor pitches per week.
- Brand sensitivity: any 'spammy' outreach risked damage with future channel partners.
- Buyer pool is small and finite (~2,400 ICP accounts in target geo) — burn rate of accounts mattered.
- Founders had no time to post or run outreach personally.
THE ICP
Exactly who we targeted
Job titles
Industries
Geographies
Company size
200–2,000 employees, £20M–£500M revenue
THE APPROACH
How we ran the motion
Anti-pitch positioning
We led the founder's profile and outbound copy with one promise: 'No pitch, ever, on a first message.' This was reinforced in posts and in DMs. CISOs notice — reply rate jumped after we made this explicit.
Industry benchmark report as opener
We produced a quarterly 'UK mid-market dwell-time benchmark' (real data from the client's SOC). First DM offered the report — no call ask. 18% of recipients requested it. Of those, 31% took a call within 30 days.
Account burn-rate discipline
Because the ICP was small (~2,400 accounts), we capped re-touch frequency at 1 sequence per account per 6 months. We treated the list as a finite resource, not a volume play.
CTO + CISO multi-thread
In accounts without a CISO, we approached the CTO and IT Director in parallel — different angles, same week. Tracked which persona converted faster per vertical.
Founder thought-leadership posts
Two ghostwritten posts/week from the founder — incident teardowns (anonymised), POVs on the MDR vs SIEM debate. 4 of the SQLs in month 5 came directly from post engagers.
TRIGGER SIGNALS
What we waited for before reaching out
Every account had to fire at least one of these signals in the last 90 days before it entered the sequence. Trigger-based timing is the single biggest driver of reply rate.
Public security incident or data breach disclosure (sector peer)
ICO register + news monitoring
Industry-wide review of MDR / SOC posture
New CISO / Head of Security hire
LinkedIn job-change alerts
First 90 days = vendor review
Cyber Essentials Plus / ISO 27001 audit cycle
Public certification registers
Audit findings drive MDR purchase
Hiring 2+ SOC analyst roles
LinkedIn Jobs
Headcount strain — outsourced detection wins
Engagement with MDR / SIEM thought-leadership posts
LinkedIn engager scrape
Self-identified evaluators
THE FUNNEL
Numbers at each step of the motion
Monthly steady-state. Numbers rounded; conversion rates measured over 6+ months.
Target accounts (UK + Nordics)
Mid-market, 200–2,000 emp
2,400
Buyer contacts identified
3,900
Connection requests sent / month
2 profiles · 60/wk (intentionally low)
480
Connections accepted
163 (34%)
Benchmark report requested
29 (18% of first DMs)
Positive replies
21
Calls booked / month
11
Sales-qualified (SQL)
22% closed-won rate
9
CAMPAIGN MECHANICS
What the engine looked like
Profiles running outbound
2 (Founder + Head of Growth)
Connection requests / week / profile
60 (intentionally low)
Active sequence steps
1 connect + 2 follow-ups + report drop
Personalization level
Account-level + named recent incident (anonymised)
Tools
Sales Navigator, HeyReach, Clay, HubSpot CRM
TIMELINE
From kickoff to steady state
Week 1–2
ICP rebuild, benchmark report scoped, account list (2,400)
Week 3
Profile + copy + sequence build. Report design + data pull.
Week 4
Launch — report-first opener. First 7 SQLs in 3 weeks.
Week 5–24
Steady 9 SQLs/month. Quarterly report refresh.
Engagement length: Ongoing — 10 months at time of writing
THE RESULTS
Numbers that held month after month
SQLs booked
in 6 months
SQLs / month
months 2–6 average
Benchmark report requests
from first message
Close rate
on SQLs (industry-leading)
ARR closed
first 6 months
Closed-won customers
from 51 SQLs
"We've worked with three outbound agencies over five years. The other two damaged our brand. This one made us look credible — to the point that CISOs were asking us how we built the report."
Founder
MDR / Cybersecurity · 55 employees · London
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