I’m trying to figure out if I should spend time upfront building detailed filters or just blast smarter messages to a broader list and see what sticks.
Right now, I have a basic filter setup in LiSeller—company size, industry, job title. But I know I could get way more granular: filtering for companies with recent funding rounds, hiring expansion signals, technology stack compatibility, revenue range, growth rate. It would take me a solid 4-5 hours to set up properly.
But here’s my hesitation: I’m told that personalized messaging alone can carry a weak campaign. So maybe I should just load up a bigger list (10,000 contacts instead of 2,000), send really good personalized AI messages to all of them, and see what my conversion rate actually looks like before I invest in filtering logic.
I’ve seen mixed opinions on this. Some people swear that filtering down to high-intent only is essential for ROI. Others say filters actually limit your upside because you might miss opportunities in “adjacent” categories.
So before I spend 5 hours building perfect filters, should I just test the broader approach first? Or am I going to waste time sending messages to people who were never going to convert anyway?
Here’s my contrarian take: filters don’t matter as much as hook quality. A great hook will convert across a broader list. A weak hook won’t convert even in a super-filtered list.
That said, filtering saves you TIME in the long run. You’re not necessarily going to get higher conversion rate from a filtered list, but you’ll get better ROI because you’re not burning through a huge outreach budget on cold contacts.
My advice: start with basic filters (industry + role), send 500 contacts with a killer hook. Measure your baseline conversion. Then expand to 2,000 without adding filter complexity. If you’re hitting 4%+ reply rate, don’t add more filtering—improve your hooks instead. If you’re below 2%, then run a test: send to a super-filtered subset vs. a broader list, same message, and see which wins.
Don’t spend 5 hours on filters until you know your hook works.
I’d actually reverse this. Set up the filtering first, but do it smart. Use LiSeller’s filter templates and build a basic high-intent segment in 30 minutes, not 5 hours. That’s enough to start.
Here’s why: if you’re running outreach, you’re probably pulling data and syncing to a CRM or spreadsheet. Filtering early means cleaner data upstream, fewer wasted API calls, and easier A/B testing later. You can always add more complex filters later, but starting with good data hygiene saves you headaches.
Also, if you’re using proxies (which you should be), filtered campaigns use fewer proxies per lead because your response rate is higher. That’s a real cost efficiency win.
In recruiting, filtering is absolutely worth it. Sending to “everyone in the role” will tank your response rate and damage your sender reputation. But I’m picky because I’m recruiting for specific skill sets and seniority levels.
For sales and BD, it might be different. If you’re selling a product that truly has broad appeal, casting a wider net might make sense. But if you’re selling to a specific buyer (VP of Product at Series A-funded SaaS, for example), the filter saves you from looking like a spammer.
Start conservative: basic filters, good message. Then expand. Don’t go backwards.
From an account health perspective, targeted outreach is way safer. Blasting 10,000 semi-targeted messages is more likely to trigger LinkedIn’s spam detection than carefully-filtered 2,000 highly-relevant outreach.
LinkedIn’s algorithm catches spam patterns, and one pattern is ‘low response rate relative to volume sent.’ If you send 10,000 messages and get a 1% response, LinkedIn sees that as suspicious. If you send 2,000 filtered messages and get a 5% response, that’s healthy engagement.
Spend the 4-5 hours on filtering. It protects your account.
I learned this the hard way. Blasted 8,000 contacts with a mediocre message my first month. Got a 0.8% reply rate and my account got soft-banned for a few days. Super stressful.
Second month, I filtered down to 1,500 high-intent prospects (recent hiring, right company size, right industry). Spent like an hour on filtering. Sent a better message. Got a 4.2% reply rate.
Way more qualified conversations, faster pipeline, and healthy account. The filtering time investment paid for itself in less than a week. Don’t make my mistake—filter first, scale later.
Data-driven answer: filtering reduces noise and improves signal. A 2,000-person high-intent list will almost always outperform a 10,000-person broad list, even with better messaging.
However, you don’t need perfect filters. Good filters (industry + role + company size) get you 80% of the way there. Advanced filters (funding stage, tech stack, growth rate) get you the last 10%, but take 4-5x longer to set up.
My recommendation: build basic filters (1-2 hours), test, measure, iterate. If you see strong results, then consider advanced filters. But start simple. The worst move is spending 5 hours on filtering, then discovering your message doesn’t resonate. Test the message first on a decent-quality list, then get fancy with filters.