From 1,150 property records to decision-ready intelligence

At a glance

JLL Capital Markets advises investors and owners across commercial real estate transactions. For the New York team, engaging landlords effectively depends on one critical factor: clarity around ownership and authority.

When outreach is directed at the wrong entity — or the wrong person — deals stall before they even begin.

The team had a list of 1,150 commercial properties across New Jersey. They knew where the buildings were. What they didn't know: who actually owned them, and who could be contacted with confidence.

Jeeva transformed that list from property data into people data — complete owner profiles, verified decision-makers, and reliable contact information. What used to take weeks of manual research now takes days. And the data doesn't just sit in a spreadsheet. It drives action.

If you rip Jeeva out, the pipeline dies.

—JLL Spark Leadership

The challenge: property data without people context

Sarah Chen, a senior analyst on the Capital Markets team, remembers the moment she realized their data problem was worse than anyone thought.

"We were preparing for a major landlord outreach campaign," she recalls. "I pulled up our list and started digging. Half the ownership records were LLCs with no clear point of contact. The other half had names — but no way to reach them."

We had 1,150 sites. But when I started calling, I realized we didn't actually know who owned most of them. We were guessing."

Sarah Chen, Senior Analyst, JLL Capital Markets

The data described properties. It didn't describe the people authorized to act on them.

"Our analysts were spending 15+ hours a week just researching who to call," says Michael Torres, Director of Capital Markets Operations. "That's time they should be spending on deals. It wasn't sustainable."

Why Jeeva

The team had tried other solutions. They'd experimented with ZoomInfo for contact data. They'd outsourced research to offshore teams. Nothing stuck.

"ZoomInfo gives you contacts," Torres explains. "But it doesn't give you ownership context. In CRE, that's everything. We don't just need a name. We need to know: Is this person authorized to sign? Are there other entities involved? Who else in their network might be relevant?"

"We don't just need a name. We need to know: Is this person authorized to sign? Who else in their network is relevant? Jeeva understood that from day one."

Michael Torres, Director, Capital Markets Operations

Three things tipped the decision toward Jeeva:

1. Ownership intelligence, not just contact data. Jeeva doesn't just find emails. It maps ownership structures, identifies related entities, and connects the dots between LLCs and the humans behind them.

2. Built for CRE complexity. Commercial real estate has unique data patterns — ownership hierarchies, property classifications, tenant relationships. Jeeva understood these nuances in ways horizontal tools couldn't match.

3. Speed without sacrificing accuracy. "We needed results in weeks, not months," says Chen. "But we couldn't sacrifice data quality. Jeeva delivered both."

Going live

Implementation started with a pilot: 200 properties from the full list of 1,150.

"We wanted to see if the enrichment was actually usable," Torres recalls. "Not just filled fields — but information we could trust enough to act on."

The Jeeva team worked through a clearly defined workflow:

Step 1: Normalize owner identity. Standardize registered owner information. Identify related business entities and map portfolios.

Step 2: Find decision-makers. For each property, identify 1-2 people with authority to act — not just listed contacts, but verified decision-makers with confirmed titles.

Step 3: Enrich contact info. Add phone numbers, email addresses, and LinkedIn profiles where available.

Step 4: Map ownership relationships. Link related entities back to the same ownership groups. Surface sister companies and portfolio connections.

Step 5: QA and confidence scoring. Apply quality checks across every record. Flag any gaps. Assign confidence indicators to each data point.

The pilot results came back in 10 days.

I opened the file and just started scrolling. Every record had a real person attached. Phone numbers. LinkedIn profiles. I think I said 'holy shit' out loud.

—Sarah Chen, Senior Analyst

Early wins

Within the first week of using the enriched data, Chen's team closed two meetings that had been stuck for months.

"There was this one property we'd been trying to reach for ages," she recalls. "The registered owner was an LLC. No phone, no email, nothing. Jeeva traced it back to a family office and found the managing partner. I called him directly. He took the meeting."

It wasn't a fluke. Across the pilot batch, the team saw:

"The quality was higher than anything we'd seen," says Torres. "Not just filled fields — actionable data. People we could actually call."

They greenlit the remaining 950 properties immediately.

The outcome

Today, all 1,150 records are fully enriched. Each one includes:

• A normalized owner identity
• 1-2 verified decision-makers with confirmed titles
• Phone, email, and LinkedIn for each contact
• Company and operational context
• Mapped ownership relationships and related entities

The impact goes beyond data quality. It changed how the team works.

"I used to spend half my day researching who to call. Now I spend that time actually calling them. It's a completely different job."

Sarah Chen, Senior Analyst

Research time dropped from 15+ hours per week to under 2. Outreach volume doubled. And because the data includes ownership relationships, the team can now identify warm paths to new prospects — connections they would have missed before.

"We're not just reaching more people," Torres adds. "We're reaching the right people. First-touch meetings are converting at a higher rate because we're not wasting time on gatekeepers."

What's next

The Capital Markets team has already expanded their use of Jeeva beyond New Jersey.

"We're rolling it out to three more markets this quarter," says Torres. "Same playbook. Same workflow. The model works."

Chen has become an internal advocate, running training sessions for other JLL teams exploring enrichment use cases.

"I tell them: if you've got a list that's just sitting there because you don't know who to call, send it to Jeeva. You'll get it back ready to use."

For JLL Capital Markets, Jeeva didn't just fill in missing data. It unlocked a new way of working — one where the data does the research, and the team focuses on closing deals.

In commercial real estate, knowing the asset is table stakes. Knowing who controls it — and how to reach them — is what creates opportunity.

—Michael Torres, Director, Capital Markets Operations