Data Packages
Not every real estate company has it’s own team of data scientists, until now. Revolution RE delivers the power of having a team of big data engineers transforming rental property data at scale. Each data package uses a model to derive predictive analytics that can be applied to your data to inform what you need to know to maximize performance across various categories of operations.
Turnover Tracker
- Per unit tracking of lease expirations.
- Recommendations based upon property and market conditions.
- Visibility into levers that cause impact.
- Delivered with a Confidence Score to build trust.
Expense Benchmarking
- Average expense targets calibrated to a property’s profile.
- Informed recommendations to reduce expenses.
- Impact tracking to quantify value creation.
- Use to analyze acquisition opportunities.
Health Report
- Property and portfolio-level risk analysis.
- 15 core categories with over 200 KPIs comparatively analyzed.
- Surface issues and opportunities.
- For acquisitions and ongoing portfolio monitoring.
Scenarios
- Overlay changes to financials to visualize impact.
- Save multiple scenarios to track performance.
- Share scenarios with team members for collaboration.
- Use calculators and aggregate outcomes for value-created portfolio-wide.
LTV / CAC Per Resident
- Generate lifetime average value (“LTV”) of residents by building.
- Develop a cost of acquisition customers (“CAC”) using marketing and turn costs.
- Set an LTV/CAC ratio to benchmark your properties health of spend to revenue earned.
Lease Audit
- Surface inconsistent leasing information and updates.
- Compare Net Effective Rent in leases to collected rents.
- Generate accurate concession figures portfolio-wide.
- Receive faster visibility into market movement and trends.
ESG Impact
- Average expense targets calibrated to a property’s profile.
- Informed recommendations to reduce expenses.
- Impact tracking to quantify value creation.
- Use to analyze acquisition opportunities.
