BatchData helps Left Main REI deliver live signals to real estate investors.

Left Main REI partners with BatchData to power DealSignals, a proprietary tool inside their CRM platform for real estate investors that surfaces live property events so they can prioritize follow-ups by signal as it happens.

At a Glance

From spreadsheets in email to live API enrichment

BatchData gave Left Main the API speed, data completeness, and collaborative partnership required to ship a real-time intelligence product their customers now rely on every day.

About the Company

Left Main REI

A CRM and data company built by an investor, for investors. Left Main takes real estate operators end-to-end, from predicting who is most likely to sell, through lead and transaction management, to closing more deals.
Industry
PropTech, Real Estate Investment Software
Founder & CEO

Stephanie Betters, 2025 Inc. Female Founders 500 honoree

Customer Base

Established real estate investors, typically 5+ years in business with thousands of proprietary records

Flagship Product

DealSignals, a real-time lead alert and follow-up prioritization system powered by live property data

Data Architecture

BatchData API integrated into Snowflake, matched directly into each company’s CRM records

The Impact

Measurable results since integrating BatchData

Customers moved from dreading follow-up to prioritizing it with intent. Left Main translated that shift into product adoption, retention, and revenue.

Win Rate Lift

+10%

Additional opportunities won by customers adopting DealSignals, a significant lift on existing pipeline.

Data Cadence

Live

Property events surfaced hourly rather than monthly or quarterly, the new competitive edge in REI.

You guys are great partners and you're extremely collaborative. There is a high degree of trust and really good collaboration, which is so important when you're shipping product. BatchData has been a partner instead of just a vendor, and you've made direct customer impact. Stephanie Betters Stephanie Betters

The Challenge

Flat files, stale data, and the follow-up slog

Stephanie founded Left Main because the tooling she needed as an operator did not exist. As the product matured, one bottleneck defined everything else: the data layer.

Spreadsheets in email

Left Main and its customers were exchanging data with providers through flat files attached to emails. Every vendor had a different format, every handoff added noise, and every import required manual cleanup.

"It is 2024 and 2025 and we're sending spreadsheets to each other in email. This is ridiculous. We're perpetuating the problem." — Stephanie

Proprietary CRM data going stale

The average Left Main customer had 5+ years of operator history and thousands of opt-in records: a genuine competitive moat. But without a way to enrich that data in real time, records aged out and opportunities quietly sold to somebody else.

Live enrichment was effectively impossible when the input was a weekly CSV.

Follow-up that nobody wanted to do

Without event-based signals, follow-up was mechanical. Reps worked 30-day tickler lists, left voicemails for people with nothing new in their lives, and treated outbound as a chore rather than a service.

"You just thought of the person. They don't pick up, you check the box that you tried, and you move on. It feels like a slog."

Trust at risk

Left Main was building a real-time intelligence product on top of the data layer. Incomplete or inaccurate property data would erode user trust on first use. Any vendor relationship had to deliver not just data, but the confidence to surface predictions to operators in the field.

The Solution

A live, API-driven data layer for property monitoring

Left Main replaced flat-file exchanges with BatchData APIs, landed the data inside Snowflake, and added a matching layer on top to connect public property events against each company’s CRM records.

Fragmented vendor stack

Before
- Flat-file CSVs exchanged over email, in different formats per vendor
- Manual imports, deduplication, and cleanup on every refresh
- Snapshots refreshed monthly or quarterly, stale within days
- No mechanism to enrich existing CRM records in real time
- Follow-up prioritized by time elapsed, not by buying signal
- Deals lost to auction and competing offers the team never saw coming

Live, API-driven data foundation

With BatchData
- Direct API integration into Snowflake, no files and no attachments
- Live enrichment of existing records as property events occur
- Direct match into each company's CRM records, preserving their existing notes and opt-ins
- Signals like pre-foreclosure, tax default, vacancy, and listing activity surfaced automatically
- Hot lists generated daily so reps know exactly who to call first
- Hidden risks like pending auction dates surfaced before they kill a deal

How DealSignals Works

Public data, your CRM, predictive intent

BatchData powers the property side. Left Main’s matching layer connects events to each company’s CRM records inside Snowflake, so the value of proprietary notes and opt-ins compounds over time.

1. Ingest live property data

BatchData APIs stream property-level events into Snowflake. Left Main normalizes and holds the data as a live, queryable layer rather than a static list.

2. Match into the company's CRM recordsc

Events match one-to-one into each company's CRM records. Operators keep the full benefit of their existing notes, opt-ins, and relationship history.

3. Predict likelihood to sell

DealSignals combines public property events with CRM context, from notes about a seller's family situation to the full history of prior outreach, to predict who is most likely to transact now.

4. Serve it up as a hot list

Reps open the product to a short, prioritized list. "If all you do today is call these three people, you are ahead of the game." The work becomes intentional instead of mechanical.

Outcomes

What changed for Left Main and its customers

The impact showed up in three layers: how operators feel about follow-up, how their teams perform, and how Left Main itself grows.

More opportunities won

Customer Win Rate

Customers who adopt DealSignals convert meaningfully more of the pipeline they already have. Fewer leads lost to auction, listing, or competing offers.

Follow-up becomes intentional

Operator Experience

Reps call people because something changed, not because the calendar said to. Appointment attendance and conversion rise, the dread drops.

Better questions, not just more leads

Strategic Insight

Customers now ask about trends in their own database: vacancy rates, owner-occupied vs. absentee, how many prior leads sold to someone else. Data became a lens, not just a list.

Sales, upsells, and retention up

Left Main Growth

The success of DealSignals has translated into new sales, expansion within existing accounts, and stronger retention. The product became integral to how customers run their businesses.

200 deals won. 1,000 leads lost to someone else.

Customer Story

One Left Main customer closed a little over 200 deals last year, a strong number by any measure. When the team analyzed their database through DealSignals, they found something else: roughly 1,000 other opportunities in their own CRM had sold to a competitor during the same period.

The insight reframed the entire strategy. Growth did not require more marketing spend, new markets, or broader targeting. It required better follow-up against the records they already had. "We actually just need to lose less," the customer concluded. "We don't need to go wider. We need to be a little bit better."

1,000 Opportunities identified as sold to another buyer, now recoverable with live signals.

Why BatchData

Partnership, not procurement

Left Main evaluated multiple data providers. The decision came down to three things that matter when you are shipping a real-time intelligence product on top of someone else’s data.

Trust and collaboration

"There was a high degree of trust between my team and your team." When Left Main hit bugs, iterated on product, and needed answers quickly, BatchData moved at the speed of a partner, not a procurement contract.

Completeness and validity

Real-time intelligence products live and die by trust in the underlying data. BatchData's completeness and first-party validity meant Left Main could confidently surface predictions to end users, and those users could verify the data was correct.

API-first delivery

No flat files, no email attachments, no fragile batch jobs. The API-first model was the prerequisite that made live enrichment, and therefore DealSignals, possible at all.

A long road ahead

With DispoSignals on the way and Left Main Exchange expanding the platform into deal syndication and funding, BatchData continues to power the next wave of Left Main products. "I foresee a very long relationship with Batch."

Partnership, not procurement

Left Main evaluated multiple data providers. The decision came down to three things that matter when you are shipping a real-time intelligence product on top of someone else’s data.