Learn how multifamily companies can leverage sentiment analysis to unlock higher rent premiums, reduce lease-up times, and make data-driven decisions that directly impact NOI by going beyond star ratings to understand the "why" behind tenant feedback.
Webinar recorded on 05/28/2025
1. Online Reputation Directly Impacts Your Bottom Line: Properties with 4+ star ratings typically command 5-15% higher rent premiums compared to similar properties with lower ratings. Poor sentiment and reviews don't just hurt your reputation—they extend lease-up times by 30-60 days, increase marketing costs, and result in lost prospects. With the vast majority of renters checking online reviews before making contact and 64% willing to pay more for highly-rated properties, sentiment analysis isn't just a nice-to-have—it's essential for maximizing NOI.
2. Go Beyond Star Ratings to Uncover Actionable Insights: Traditional review monitoring only shows you the "what" through star ratings, but sentiment analysis reveals the "why" behind tenant feedback. By analyzing resident reviews, maintenance requests, social media mentions, and internal communications, you can identify unique strengths and weaknesses, spot emerging trends before they impact your business, and make data-driven decisions for capital improvements. This deeper understanding allows you to detect maintenance issues before they escalate and prioritize improvements based on actual sentiment impact.
3. Start Small and Scale Your Sentiment Analysis Strategy: You don't need a massive technical infrastructure to begin leveraging sentiment analysis. Start with the data you already have available today—existing reviews, tenant emails, and maintenance requests. Focus on setting up key categories to track (amenities, staff, maintenance, value, location), establishing sentiment baselines for your communities, and creating response protocols for different sentiment scenarios. The key to ROI is treating sentiment analysis not just as a monitoring tool, but as a strategic asset that informs pricing, operations, and investment decisions.