How do you filter leads when an investor gives you a wide buy box?

Question

I'm currently working with an investor who has a broad criteria: properties under $650k, vacant or with basement, in Nassau/Suffolk counties.

With such a wide range, I'm trying to sharpen how I filter leads before sending them over. I don't want to flood them with 50+ properties — I want to send the best 5–10 that actually match their buying style.

For those with experience sourcing for investors:

· Do you send everything that fits the criteria, or do you apply additional filters?

· What's your go‑to method for prioritising which leads to share first?

I'm using tax delinquent lists and skip‑tracing to pull owner info, but I want to refine my workflow before sending the next batch.

Appreciate any insights.

Bradley Buxton · Answer

@Okechukwu Treasure C

What are the other intangibles the clients are looking for?  Can they handle a remodel? Will the updates fin in their budget? do they want student rentals? Or commuters with freeway access? Is there value add opportunity to the property like adding an extra room?  What is their primary and secondary strategy.  In my experience working with Investors in the Reno, NV area there is no software solution (yet) that can asses the condition, noise, and and proximity to amenities for clients.  This is where your value needs to be added. If a computer can do it all why do they need you?

Igor Ganapolsky · Answer

This thread hits on something I've been thinking about a lot — the gap between "meets criteria" and "actually worth sending."Brian's two-layer approach (hard filters first, then a second pass for rent strength and exit flexibility) is exactly right. But the question Okechukwu asked — how do you consistently define "quality" beyond the basic criteria — is the hard part, especially when you're still building pattern recognition with a new investor.Here's what I've found works: instead of trying to guess quality after you pull the list, build the quality into how you source the list in the first place.You mentioned you're already using tax delinquent lists and skip-tracing. That's your first layer — the Tax Collector tells you who's behind on taxes. But Nassau County and Suffolk County both have code enforcement databases and clerk of court records. When you cross-reference those three sources and find properties where ALL THREE converge — tax delinquent + code violations + probate or liens filed — you've got something different than just a tax list.You've got a property where three independent government departments are all documenting distress on the same address. That's not "meets criteria." That's a property where the motivation is government-verified before you even make a call.For your investor's buy box (under $650k, vacant or basement, Nassau/Suffolk), here's how this plays out:1. Pull tax delinquent list from county (free)2. Cross-reference with code enforcement violations (free)3. Cross-reference with clerk of court probate/liens (free)4. Properties where all three overlap = your top 5-10Those aren't just properties that fit the buy box. They're properties where the tax collector, code enforcement, and the court all agree this owner has a problem. That's the "quality" filter — not instinct, not pattern recognition from reviewing hundreds of deals, but three county records converging on the same address.Robert's point about treating every pass as a data point is smart, but here's the thing: when you start with convergence, you send fewer deals and the ones you send have documentation behind them. Your investor isn't guessing whether this property is motivated — the county already documented it from three different angles.For Nassau County specifically: Nassau County Department of Assessment has the property records, Nassau County Clerk has court filings, and you can check code enforcement through the town/city offices (Hempstead, North Hempstead, Oyster Bay each have their own). Suffolk County similar structure.The cost is $0 for all three county websites. Compare that to pulling a generic tax list, paying $0.10-$0.25 per skip trace, then trying to figure out which ones are "quality" after the fact.When the tax collector, code enforcement, and clerk of court all point at the same property — that's not a lead that might be motivated. That's a lead where the government has already done the filtering for you.

Robert Ellis · Answer

The part that caught my attention was that your investor's buy box is so broad that you're actually worried about sending too many deals instead of too few.

To me, that usually means the real bottleneck isn't finding properties anymore—it's figuring out what this particular investor gets excited enough to actually write offers on. Two investors can both say "under $650k in Nassau or Suffolk," but one consistently buys cosmetic rehabs while the other only moves on properties with major value-add potential. On paper, they have the same criteria, but in practice they don't.

I'd almost treat every deal they pass on as another data point. After a handful of submissions, you start to see patterns that never show up in the written buy box.

I'm curious—have they actually closed on enough deals that you can look back at what they bought versus what they passed on, or are you still building that history with them?

Okechukwu Treasure C · Answer

I've been treating the buy box as the final word, but you're right that two investors with the same criteria can have completely different buying styles. I'm still building history with this investor, so I don't have a big sample of past deals yet – but I like the idea of treating every pass as a data point.

One question: when you're building that pattern recognition with a new investor, do you have a specific system for tracking what they pass on, or do you just keep mental notes and adjust over time?

Appreciate the insight – this is genuinely helpful.

Travis Goodwin · Answer

I'd ask the investor to rank their preferences instead of just giving a broad buy box. Price is one thing, but I'd want to know neighborhoods they like, target margins, property types, condition, and what they'd buy tomorrow if you put it in front of them. The more specific you can get, the better your lead quality becomes. Have you asked them to show you a few deals they've actually bought recently?

Okechukwu Treasure C · Answer

When you ask an investor to rank their preferences, do you usually do that in a call, or do you send a quick form to make it easier for them to be specific?

I'm trying to make the process as smooth as possible on my end, so I'd love to hear what's worked for you.

G. Brian Davis · Answer

I’d stick to quality over quantity. Even if a property meets the basic criteria, only send the ones that really match the investor’s style and have clear upside, think condition, layout, location, and cash flow potential. Send the best opportunities first, so they stay interested and trust your judgment.

Okechukwu Treasure C · Answer

I like the two-layer approach: hard filters first, then a second pass for rent strength and exit flexibility. I've been applying a similar idea on my end – pulling from tax‑delinquent lists and skip‑tracing, then running a second filter based on owner type and how clean the title history looks.

On the exit flexibility piece – is there a quick way you check that without pulling a full title report, or do you only run that filter on the shortlist?

Thanks again – this is genuinely useful.

Okechukwu Treasure C · Answer

I like the two-layer approach: hard filters first, then a second pass for rent strength and exit flexibility. I've been applying a similar idea on my end – pulling from tax‑delinquent lists and skip‑tracing, then running a second filter based on owner type and how clean the title history looks.

On the exit flexibility piece – is there a quick way you check that without pulling a full title report, or do you only run that filter on the shortlist?

Thanks again – this is genuinely useful.

G. Brian Davis · Answer

For me, it’s a mix of both structure and experience. I start with hard filters, price, condition, vacancy, location, then I run it through a second layer based on things like realistic rent strength, exit flexibility, and how clean the story is on why it would work. Beyond that, it’s also pattern recognition from reviewing a lot of deals for our co-investing club. Over time you start to see what “good” actually looks like versus just “meets criteria."