I’m on day 2 with LiSeller and I’m already at a crossroads. The platform gives me the option to filter prospects by company size, industry, job title, seniority, recent funding, location, and a bunch of other criteria. On one hand, this seems like it could save me a ton of time and money by only targeting people who actually fit my ICP. On the other hand, I could just blast out messages to a broad audience, measure what works, and then iterate.
I’m leaning toward just launching broad and optimizing later, but I’ve seen a few posts here that suggest that wasting follows-ups on unqualified leads is worse than spending an extra hour upfront on smart segmentation.
Here’s my specific situation: I’m selling a SaaS product that works best for companies with 50-500 employees in the tech/fintech space. I could set up filters to only target those companies, but I could also just send to anyone in a relevant role and see who responds.
Which approach actually saves me money and time in the long run? Is the filtering worth the setup friction, or is it a premature optimization?
Do the filtering upfront. I tried both approaches, and here’s the financial difference:
Broad approach: I sent 2,000 messages with no filters. Got ~80 replies. Maybe 10 turned into qualified opportunities.
Filtered approach: I sent 400 messages to my actual ICP. Got ~20 replies. 8 turned into qualified opportunities.
At face value, the broad approach looks better (80 vs. 20 replies). But the ROI is inverted: 8 qualified ops from 400 messages ($10k revenue per closed deal for me) beats 10 qualified ops from 2,000 messages because I wasted 1,600 touches.
Second, your follow-up rate matters. You’re allowed maybe 3-4 touches per person without looking spammy. If you burn your follow-up budget on unqualified people, you don’t have touches left for the good ones. Filtering prevents this waste.
Setup filtering on day one. It’s two hours that save you weeks of wasted outreach.
From an account safety angle, broad blasting actually increases your spam risk. Here’s why: if you’re sending to unqualified people, a higher percentage will mark you as spam. Each spam mark dings your account health. Eventually, LinkedIn flags you as a low-quality sender and throttles your entire campaign.
Filtered, targeted outreach has a better reply-to-spam ratio, which keeps your account score healthy. You can send longer campaigns safely because you’re staying out of trouble.
Broad blasting seems efficient until your account gets shadowbanned. Then you have to warm it back up or start over. Do the filtering.
Practical tip: set up your core filters (company size, industry) as your absolute baseline on day one. These take 10 minutes. Then as you get data on what works, you layer in secondary filters (job title patterns, funding indicators, location). This is a 70/30 split: do 70% of the filtering upfront, leave 30% for optimization as you learn what your actual best customers look like.
In my experience, unqualified leads in your outreach actually poison your messaging insights. If you’re A/B testing message variants with a mix of qualified and unqualified prospects, your data is garbage. The unqualified people aren’t going to respond regardless of how good your message is, so you can’t actually optimize.
But if you filter to qualified people first, then A/B test, every response tells you something real about your messaging. Your insights become way more actionable.
Filter first, then optimize the message.
Here’s what I’d focus on: spend 30 minutes setting up smart filters, then launch 50 test messages to your filtered audience. Measure reply rate and quality. Then decide if you need more filters or fewer.
You’ll get real data in 3-4 days about whether your filtering logic is right. Most of the time, you’ll realize you either filtered too tight (not enough prospects) or too loose (still getting tire-kickers). Then you adjust.
The key: don’t do blind filtering. Test it on a small cohort first, validate it works, then scale.
LiSeller’s filtering is super powerful but also gives you a lot of options, which can be overwhelming on day one. Here’s my advice: use the pre-built templates in LiSeller for your ICP (find the one closest to “50-500 person SaaS.”) This gives you a starting filter in < 5 minutes. Then customize from there.
Don’t try to engineer the perfect filter on day one. Use a template, launch, get data, then refine. The platform is built for this iteration loop.