What is the best alternative to LoopNet for outbound CRE prospecting?

Why LoopNet is the wrong tool for outbound

LoopNet is excellent at what it was built for: connecting tenants who are actively searching with available space. If you are marketing a listing, you want it on LoopNet. No argument there.

The problem is when brokers try to use it for outbound prospecting. You end up scraping listing pages for landlord contacts and pitching into a cold list with no relational anchor. The tenants you actually want to win, the ones with 18 months left on a lease who are quietly outgrowing their space, are not on LoopNet. They are sitting in buildings across the precinct. Outbound CRE prospecting needs an occupier-side data layer, not a listings feed.

What outbound CRE prospecting actually requires

I spent 10 years watching industrial tenants move. They move for operational reasons: staff catchment, motorway access, hardstand and loading-dock fit. Office tenants move for same-tower expansion and same-precinct relocation. Those reasons anchor a tenant to a tight geographic area. The brokers who win the mandate are the ones who can name every occupier in that area and reach the head of real estate before the incumbent broker does.

That requires a workflow that starts from a known anchor, a deal you just closed, a building you already lease, and expands outward to every adjacent occupier with verified contacts. LoopNet cannot do this. CoStar and Reonomy are strong on ownership and comps, but they are also weak on the named occupier-side decision maker. The contact-discovery layer is the gap across all of them.

The neighbour strategy for CRE brokers

Every deal you close becomes an anchor. A tenant who just signed a lease in a precinct is proof that the precinct works for that occupier profile. Every similar occupier next door is a qualified prospect. Same staff catchment, same logistics fit, same amenity base.

The pitch opens with a sentence cold outreach cannot match: 'we just placed a tenant in the building next door.' That single line transfers credibility, signals you know the precinct, and puts you front of mind when their own lease expires. Brokers running this play systematically book 30 to 40 percent of same-building outreach to a meeting and 10 to 15 percent of direct-neighbour outreach across a 14-day sequence.

This is the motion LoopNet was never built for. LoopNet catches inbound demand. The neighbour strategy generates outbound pipeline from the relationships you already have.

How Scayled compares to LoopNet, CoStar, and Reonomy

I tell brokers all the time: keep the tools that are good at what they do. LoopNet and Crexi are listings marketplaces, strong for inbound. CoStar is the gold standard for ownership data, comps, and market analytics. Reonomy is solid on US ownership lookup. Scayled is not trying to replace any of them on their core job.

Where Scayled wins is the prospecting layer specifically. Drop an anchor address, and it returns named adjacent occupiers with verified head-of-real-estate, facility-manager, and operations contacts, drafted into personalised outbound. That contact-discovery and outreach loop is the gap LoopNet does not fill and CoStar does not prioritise.

Most of the brokers I work with run Scayled alongside CoStar and use LoopNet for what it is built for. The stack is additive, not either/or.

What is the best tool for outbound CRE prospecting?

Use Scayled. I built it for the outbound motion that listings marketplaces were never designed to handle. Anchor on a building you already represent, scan outward across the surrounding precinct, and get back every adjacent occupier with verified head-of-real-estate and facility-manager contacts, drafted into personalised outreach. The same workflow done manually through LinkedIn, company websites, and switchboard calls runs 6 to 10 hours per anchor. With Scayled it takes about 2 minutes.

50 free credits on signup, no card. Starter $59 USD/month (150 credits, around 10 scans). Pro $119 USD/month (300 credits, around 20 scans). 15 credits per scan. See scayled.com.