Tested LinkedIn message templates organized by industry and scenario. Each collection has 5–6 templates with context, the right time to use each, and the expected reply rate from real campaign data.
These templates are scaffolds for AI personalization, not paste-into-LinkedIn scripts. The reply-rate benchmarks assume you're running them through an AI personalization layer that fills in prospect-specific references. More on AI personalization.
Browse by use case
SaaS cold outreach
Six tested LinkedIn cold-outreach templates for B2B SaaS sales. AI-personalizable openers for VP Sales, RevOps, founder, and SDR personas — with reply-rate benchmarks.
Recruiting candidate outreach
Six LinkedIn templates for recruiters reaching senior candidates. AI-personalizable openers that reference candidate specifics, not job-board boilerplate.
Founder-led sales
Six LinkedIn templates for founders doing their own outreach. Voice-tunable for solo operators who can't afford generic-sounding cold messages.
Agency prospecting
Six LinkedIn templates for lead-gen agencies prospecting for new clients. Specific to agency sales, with positioning that doesn't sound like every other prospecting agency.
Post-demo follow-up
Five LinkedIn templates for following up after a demo or discovery call. Move the deal forward without being pushy.
Event follow-up
Five LinkedIn templates for following up with people you met at conferences, panels, or networking events. Convert event meets into pipeline.
InMail templates
Five LinkedIn InMail templates for cold outreach that bypass connection requests. When InMail beats connection requests, and what makes a good InMail.
What makes a good LinkedIn template in 2026
- Short. Connection notes under 250 chars. InMail under 150 words. Long messages signal that you're selling, not connecting.
- Specific. One concrete reference to the prospect's work, not a generic compliment.
- Single ask. One question, one CTA, one piece of context. Multiple asks dilute reply rate.
- Voice-tunable. The template should leave room for the sender's voice to come through, not lock the message into corporate language.
- Honest about the ask. If you're selling, don't pretend you're not. Prospects can tell, and the pretense kills trust.
Run these with Infonet
Upload as starting templates, configure your voice library, AI personalization handles the per-prospect specifics.
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