The InMail Problem Every Recruiter Knows
You have a perfect candidate. Their profile is exactly what the client wants. You craft what you think is a decent message, hit send, and... nothing. No reply. Not even a "thanks but no thanks."
It happens every day. The average LinkedIn InMail response rate hovers around 10-25%, depending on the role and sector. That means at best, one in four messages gets a reply. For most recruiters, the reality is closer to one in ten.
The painful truth is that most InMails fail because they all sound the same. "Hi [Name], I came across your profile and I have an exciting opportunity I would love to discuss with you." The candidate has seen that message fifty times this month from fifty different recruiters. Why would they reply to yours?
Let us fix that.
The Anatomy of an InMail That Gets a Reply
Every effective outreach message has four components. Miss any one of them and your response rate drops.
1. A Specific Opening Line
The first line determines whether the candidate reads the rest of your message. Generic openings like "I came across your profile" or "I was impressed by your experience" are instant delete material.
Instead, reference something specific:
- A recent project they worked on: "I saw the migration project you led at Barclays, moving 200+ services to Kubernetes. That is exactly the kind of experience our client needs."
- A piece of content they shared: "Your post about reducing deployment times by 60% caught my attention. The team I am hiring for is tackling the same challenge."
- A career pattern you noticed: "You have moved from consultancy into product-side roles twice now. I have a position that fits that trajectory perfectly."
The point is to show you actually looked at their profile, not just their job title.
2. A Clear Value Proposition
Within the first two or three sentences, the candidate should understand what is in it for them. Not what the role is. What the role means for their career.
Bad: "We are looking for a Senior Data Engineer to join a leading fintech company."
Good: "This is a chance to lead the data platform from scratch at a Series B fintech that just secured £40m funding. You would build the team and the architecture. Salary range is £95-110k plus meaningful equity."
Notice the difference. The second version answers the question every passive candidate asks: "Why should I care?"
3. Social Proof or Credibility
Why should this candidate trust you? Give them a reason. This could be:
- Your specialism: "I have been placing data engineers in fintech for seven years, so I know the market well."
- The client's reputation: "The CTO previously built the data team at Monzo and has a strong reputation for technical leadership."
- A mutual connection: "I placed your former colleague Sarah Chen in a similar role last year."
You do not need all three. Just one line that establishes why you are worth responding to.
4. A Soft Close
Never end with "Are you interested?" or "Can we schedule a call?" These are too direct for a first touch. Instead, use a soft question that is easy to answer:
- "Would it be worth me sharing the full brief?"
- "Is this the kind of move you would consider in the right circumstances?"
- "Happy to share more details if it sounds relevant?"
These lower the barrier to reply. The candidate does not need to commit to anything. They just need to say "sure, send it over."
The Message Framework
Putting it all together, here is a framework you can adapt:
Line 1: Specific reference to their profile or work (shows you did your research)
Line 2-3: What the role offers them (value proposition, not job description)
Line 4: Why you/the client are credible (social proof)
Line 5: Soft question (easy to reply to)
Total length: 80-150 words. No more. Candidates are scanning on mobile. If your message looks like a wall of text, they will not read it.
Want AI-powered outreach prompts that work?
The Pro Playbook for Recruiters includes a full chapter on AI-assisted outreach with sector-specific templates.
Get The PlaybookReal Examples That Work
Example 1: Engineering Role
Hi Tom. I noticed you led the API platform rebuild at Deliveroo. That kind of experience at scale is exactly what this role needs.
I am working with a Series C healthtech (£85m raised, 200-person engineering team) looking for a Principal Engineer to own their platform strategy. Salary is £140-160k with genuine equity. The VP of Engineering came from Spotify and has a strong track record of promoting from within.
Would it be worth me sharing the full brief?
Why it works: Specific opening, clear value (salary, equity, growth), credibility (VP's background), soft close.
Example 2: Finance Role
Hi Sarah. Your move from Big Four audit into commercial finance at a high-growth SaaS company is an unusual and impressive trajectory.
I am recruiting a Head of FP&A for a UK fintech that is about to IPO. They need someone who can bridge the gap between technical finance and commercial strategy. Compensation is £120-140k plus a pre-IPO share package.
Is this the kind of next step you would consider?
Example 3: Marketing Role
Hi James. I read your case study on the ABM campaign you ran at Salesforce. The results were genuinely impressive, particularly the 340% increase in pipeline from target accounts.
A UK-based B2B SaaS company (ARR £30m, growing 80% YoY) is looking for a VP of Marketing to build out their demand gen function. They want someone who has done enterprise ABM at scale. The CEO is ex-HubSpot and takes marketing seriously at board level.
Happy to share more details if it sounds relevant?
How AI Helps You Scale This
Writing personalised messages like these for every candidate is time-consuming. This is where AI becomes genuinely useful.
The trick is to give AI the right inputs. Feed it the candidate's profile details, the role's key selling points, and your preferred tone. Then ask it to draft a message following the framework above.
Here is a simple prompt you can use:
Write a LinkedIn InMail to approach [Name], currently [Title] at [Company]. Reference [specific detail from their profile]. The role is [Title] at [Company], paying [Salary]. The key selling points are [list them]. Keep it under 120 words. Tone: professional but human. End with a soft question.
The output will need your review and editing, but it gives you a strong starting point in 30 seconds instead of five minutes. When you are reaching out to 20 candidates a day, that time saving is significant.
For more AI prompts like this, including variations for different sectors and seniority levels, check out our full list of the best AI prompts for recruiters.
The Pro Playbook for Recruiters includes a full chapter on AI-assisted outreach, with prompts for different sectors, seniority levels, and situations (active vs passive candidates, warm vs cold outreach, follow-up sequences). You can get it at proplaybooks.co.uk.
Common Mistakes to Avoid
Sending the same message to everyone. Even with AI help, you need to personalise. At minimum, change the opening line for each candidate.
Leading with your company, not the opportunity. The candidate does not care about your agency's history. They care about their career.
Being too long. If your InMail is over 200 words, you have lost most candidates before they finish reading. Aim for 80-150 words.
Following up too aggressively. One follow-up after 5-7 days is fine. Three follow-ups in a week is not. A good follow-up adds new information. "I wanted to add that the role also offers..." is better than "Just checking you saw my last message."
Using exclamation marks. Nothing says "I am a recruiter who sends this to everyone" quite like "Exciting opportunity!" Keep it calm and professional.
Forgetting mobile. Over 60% of LinkedIn messages are read on mobile. Short paragraphs and clean formatting matter.
Measuring and Improving Your Response Rate
Track these numbers weekly:
- InMails sent: How many outreach messages you are sending
- Replies received: Total replies (including "not interested")
- Positive replies: Replies that lead to a conversation
- Reply rate: Positive replies divided by InMails sent
A good target is 20-30% positive reply rate. If you are below 15%, your messaging needs work. If you are above 30%, you are doing something right and should document what is working.
Test different approaches. Try different opening lines, different value propositions, different closes. Change one element at a time so you know what made the difference.
The Bottom Line
Better InMails mean more conversations. More conversations mean more placements. More placements mean more fees. The maths is simple. A recruiter who gets a 25% reply rate on outreach will fill roles faster than one getting 8%, every single time.
If you want a complete system for AI-assisted recruitment outreach, including prompts, templates, follow-up sequences, and sector-specific variations, The Pro Playbook for Recruiters covers it all. Available at proplaybooks.co.uk for £19.99, or £9.99 on Kindle.
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