Pillar Case Study.
Beechwood Holdings: Multiplying Deal Flow with Software
Executive Summary
This case study describes a bespoke software engagement with Beechwood Holdings. The reported result was 8 closed deals in the first month, compared with a prior average of 3 per month.
The Challenge
Beechwood Holdings approached Pillar with a challenge: their process for sourcing land required manually combing through listing platforms and using map software to evaluate potential sites. This approach was labor-intensive and limited their ability to scale.
Beechwood was closing 3 deals per month. But, they knew they could close more if they could evaluate land faster.
The Solution: Enter Pillar
Pillar implemented its software to automatically prequalify Beechwood's land opportunities across their favorite markets by engineering data pipelines that aggregate, analyze, and recommend sites based on market, financial, and geospatial data matching Beechwood’s investment criteria.
Pillar identified 4 key requirements for all of Beechwood’s deals that could be automatically pre-screened:
- The right acreage to meet Beechwood’s specific project needs.
- Proximity to comparable developments within 5 miles to support underwriting and secure favorable financing.
- Zoning suitable for Beechwood’s development projects.
- A flat slope to simplify and reduce construction costs.
The resulting pipeline brought candidate opportunities into one place for Beechwood’s team to review against its investment criteria.
Measurable Results
The case study reports 8 closed deals in the first month, compared with a previous average of 3 per month. These figures describe one customer engagement, not a typical result or a controlled estimate of the effect of the software.
The published account does not specify the calendar dates or the length of the baseline period. The bespoke implementation described here should be evaluated separately from the features included in today's self-service plans.
What the workflow covered
The implementation screened opportunities against Beechwood’s acreage, location, zoning, and slope criteria. The team still needed to evaluate individual sites, negotiate terms, and complete due diligence.
Conclusion
"Pillar has transformed how we source land. They built an automatic solution that finds land matching our investment criteria like a glove, allowing us to scale our deal flow without getting bogged down by manual land sourcing activities."
- Kyle Collins, Principal & Founder, Beechwood Holdings
Teams considering a similar workflow should start with their own screening criteria and test the results against properties they know. Compare the time spent reviewing each site and the reasons sites are rejected before drawing conclusions about deal outcomes.