Why do some lists perform way better than others?

Question

I’ve been digging into outbound workflows lately and something I keep seeing is that not all lists perform anywhere close to the same—even when they look similar on paper.

You can have two lists with:

• similar filters (absentee, high equity, etc.)
• same skip tracer
• same outreach channel

And one gets solid responses while the other barely connects.

From what I’ve seen, a lot of it comes down to what happens after the list is built—specifically how it’s prioritized before outreach.

Most teams seem to do a good job stacking lists, but once they start calling or texting, they’re still just working top-down or oldest-first.

Curious how you guys are handling that part—

Are you seeing consistent performance across lists, or do some just hit way better than others?

Chris Arnold · Answer

@Travis Goodwin

That’s a great way to put it—especially the part about two lists looking identical on paper but performing completely differently based on what’s actually happening in the owner’s situation.

The timing piece seems to be where a lot of the variance comes from, like you mentioned. Filters get you close, but they don’t always capture who’s actually ready to act right now.

I also like that you brought up call order—feels like that’s one of the more overlooked factors even when the list itself is solid.

That’s really the piece I’ve been digging into—how to take those same signals (recency, distress stacking, ownership patterns, etc.) and translate them into a more structured prioritization instead of just working through the list.

Curious—have you guys found certain signals consistently outweigh others when it comes to actual conversations or deals, or does it shift quite a bit depending on the market?

Travis Goodwin · Answer

Some lists absolutely perform better than others, even with the same filters, because the data only tells part of the story. Two absentee/high-equity lists can look identical on paper, but one may have owners with real life change happening now—inheritance, tired tenants, tax pressure, relocation—while the other is just stable long-term owners with no reason to move. That’s why motivation timing matters more than filters alone. We’ve also seen recency, ownership length, equity growth, distress stacking, and even call order make a difference. A good list is important, but prioritizing who is most likely to have a reason to act right now is where a lot of the results come from.