Watched a friend lose his LinkedIn account last year. Permanent ban, using a "safe" automation tool at "safe" daily limits.
Here's what I learned from it.
1. LinkedIn doesn't care about your daily limits
Everyone asks "how many requests per day is safe", which is the wrong question. LinkedIn's detection is based on acceptance rate and reply rate, not volume. You can send 20 a day that get ignored and get flagged, or send 100 a day that get accepted and replied to and be completely fine.
The numbers that matter are acceptance rate above ~40% and reply rate above ~20%. Below that, LinkedIn's systems start treating you like a spammer, and statistically speaking, you are one.
2. What gets you flagged is bad targeting
My friend blamed the tool and switched three times before realizing the tool was just fine, his list was the problem. When you scrape 2,000 "Heads of Legal at SaaS companies" and blast them, 95% of them don't know you, don't care, and ignore you. LinkedIn watches that ignore rate and concludes you're a bot.
3. The fix: stop volume, start targeting high-intent leads
I send 125 requests a week, acceptance rate is at 72% and reply rate at 55%, zero restrictions. The 125 are people who commented on a competitor's post in the last 2 days, posted themselves about the problem I solve, or engaged with specific creators in my niche. Same ICP as everyone else, but with an additional intent filter. I'm catching them when they're already thinking about the problem.
You can identify those people either manually (works but is a bit painful) or you use IbexAI to find them at scale, every day, and on autopilot.
My new project Emusic Tools, search it on Google if you want
What if you have a new idea like no competitorsI've done my market reasearch and my competition is all indirect but big though.
then you identify the people who engage with those indirect competitors and also other influencers in your niche.
“Nice”
This is very true, and honestly a mistake a lot of new entrepreneurs make, myself included.
Too many people focus on quantity over quality when it comes to outreach, even though highly targeted outreach usually performs far better.
Like you said, the key is to stop chasing volume and focus on your ICP instead. That’s especially important for early-stage startups.
As you grow, you can gradually expand your target market. But in the early stages, sustainable outreach that reaches the right people is far more valuable than broad exposure to people who don’t actually need your product or service.
I completely agree. As a startup entrepreneur from scratch, I also made the mistake of "pursuing quantity". LinkedIn does indeed value interaction quality over the volume of sends. High-intent targeting is the key.
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LinkedIn definitely does care about your daily limits. Automated outreach tools enable you to set these for this reason, and they'll also employ smart algorithms to vary daily connection requests etc - to stop you getting banned.
If you spam large numbers, yes you'll get banned, and I agree that high-intent leads are key.
No automated lead gen tool works well, I think. Here's the solution: start with a wide net, then use AI to qualify down that list to very targeted leads.
This lines up a lot more with how LinkedIn actually feels than the usual “stay under X requests per day” advice.
The platform isn’t really measuring activity, it’s measuring how people react to you. If most people ignore your request or don’t engage, that’s a pretty strong signal you’re not relevant to them, regardless of volume.
The intent filtering part is what most people miss.
Same ICP on paper doesn’t mean same readiness. Someone who just commented on a post about a problem is in a completely different headspace than someone who just happens to have that job title. Timing quietly does a lot of the heavy lifting here.
Also explains why a lot of “automation doesn’t work” takes are off. It’s usually not the tool, it’s that the outreach feels disconnected from what the person actually cares about in that moment.
Out of curiosity, when you reach out to these high-intent leads, are you referencing the exact post/comment they engaged with, or keeping it more general? That part seems like it would heavily impact the reply rate too.
I don't reference the post because it comes across as fake personalization. I just pitch and that works best because those people have interest in what I'm selling anyway.
Fake personalisation sucks. Sort people into personas and address their particular angle, but the "I see you raised blah blah recently" is insulting. People can easily spot AI content (including on IH!)
VERY true. It's not so bad with one-off posts, sometimes it's tough to articulate your message and AI is helpful in that respect. I've done it on occasion. But at scale? Forget it.
AI is great for proof reading and brainstorming. Always rewrite in your own words before sending.
This is a solid breakdown especially the point about acceptance/reply rate vs volume.
I think a lot of people treat LinkedIn like cold email (optimize for scale), when it’s actually much closer to context-driven outreach. If the person doesn’t recognize themselves in the message within 2 seconds, it’s basically dead.
The “intent filter” piece is the real unlock here.
One thing I’ve noticed though: even with high-intent signals (comments, posts, etc.), timing decays fast. Someone who engaged 2 days ago vs 2 weeks ago behaves completely differently.
Curious: how fast are you reaching out after someone shows intent? Are you doing this same-day, or batching it?
As fast as possible. The earlier the better because the topic is top of mind for your prospect right now.
I've heard both (1) reply immediately and (2) give them time to respond.
The first was from a salesperson with a lot of experience in traditional sales, and I've found it works slightly better.