Renew Data Engine

The Renew Data Engine’s out-of-the-box reporting includes renewal rates, exposure, trade-outs, offer interactions, decision-cycle timing, reasons for move-out, momentum score, and compliance tracking (with more being developed every day!). These insights eliminate manual reporting and give multifamily operators a clear view of resident behavior and portfolio health.

Operators can track trends by community, region, or entire portfolio, making it easier to spot move-out risks early compared to teams using basic lease management software and generic property management tools. With dashboards tailored to multifamily workflows, the Renew Data Engine provides clarity without the need to customize projects — helping teams move faster and base decisions on reliable, consistent property management data.

The Renew Data Engine uses predictive analytics to forecast apartment lease renewal likelihood before renewal letters are even sent. By analyzing engagement history, communication patterns, pricing sensitivity, and decision timing, it generates a Momentum Score for each resident.

This early insight allows operators to identify who’s likely to stay and who may need extra attention. Rather than waiting until the renewal offer is live, teams can prioritize outreach, adjust pricing strategies, or apply incentives proactively. Predicting intent before the offer goes out gives operators a head start to protect occupancy and reduce tenant churn.

Churn analysis is central to strengthening tenant retention. The Renew Data Engine tracks patterns in non-renewals, including move-out reasons, decision timing, and even forwarding address data. By understanding where, when, and why residents leave, operators can refine tenant retention strategies to address issues before they recur.

These insights also uncover portfolio-wide risks, such as pricing missteps or amenity gaps, that drive churn. With clear data, operators can shift from reactive to proactive, focusing resources on high-risk residents and improving overall lease renewal rates. This approach minimizes tenant turnover costs and keeps occupancy — and NOI — stronger across the portfolio.

Vacancy loss is one of the most expensive outcomes of non-renewal, and Data Engine helps operators measure its true cost. By tracking decision timing, renewal patterns, and lost rent days, it calculates the vacancy loss impact across properties.
With this visibility, operators can adjust pricing, incentives, or outreach strategies to reduce exposure. The platform also highlights where faster renewal decisions could have saved thousands in lost revenue. Quantifying vacancy loss in financial terms makes it easier for teams to prioritize interventions, protecting NOI and improving the bottom line.

Yes! The Renew Data Engine includes a renewal Impact Analysis tool, which lets operators model rent increase scenarios before rolling them out. By testing different pricing strategies, teams can forecast renewal likelihood, potential turnover, and NOI outcomes at the community or portfolio level.

This feature is a prime example of how AI in property management can support revenue goals with smarter retention strategies. Instead of relying on guesswork, operators can make data-driven pricing decisions that maximize renewal conversion while capturing fair rent growth — ensuring all pricing moves align with market dynamics and resident behavior.

The Renew Data Engine’s benchmarking tools show operators where they stand in relation to both internal targets and market trends. Your customized dashboard compares lease renewal rates, resident engagement, and pricing performance across communities, regions, or the entire portfolio.

Operators can also evaluate how their results stack up against broader marketplace trends, spotlighting competitive gaps. With data depth that goes beyond typical property management tools, leaders can make informed decisions that strengthen retention and revenue while making real-time adjustments, ensuring portfolios perform at or above market standards.

More than just rental renewal reporting, the Renew Data Engine surfaces insights operators can act on. This includes forwarding address data, which reveals where residents are moving, and detailed move-out reasons that shed light on churn drivers. These data points help operators understand not just that residents leave, but why and where they go.
Such insights can inform tenant retention strategies, amenity planning, or even cross-marketing opportunities in other communities. The Renew Data Engine combines detailed resident data with portfolio analytics to give operators a clearer picture of resident behavior and the tools to make smarter, more targeted decisions.

Most portfolios generate mountains of property management data, but without context, it’s hard to leverage effectively. The Renew Data Engine transforms this raw information into predictive intelligence — forecasting renewal intent, highlighting churn risks, and quantifying financial impacts like vacancy loss. And unlike basic proptech software, it’s purpose-built to deliver insights operators can seamlessly act on within the platform.

With predictive intelligence built directly into Renewal Management System workflows, operators can launch targeted outreach, adjust renewal pricing, or trigger incentives without leaving the platform. The result is stronger NOI growth, achieved by acting quickly on data operators already have but couldn’t previously harness at scale.