AIM 2026: The Attribution Revolution: Turning Data into Winning Decisions

The Attribution Revolution: Turning Data into Winning Decisions

Moderated by Stuart Richens of Apartments.com, the panel featured Kelley Shannon of Buzzuto, Robert Lee of Hyly.AI, and Justin Godwin of Cushman & Wakefield. The discussion challenged one of multifamily marketing's most persistent assumptions: that a lease can accurately be credited to a single marketing source.

Traditional attribution models—including first touch, last touch, linear, time decay, U-shaped, and W-shaped—attempt to assign credit differently. But the bigger problem isn't choosing the right model; it's whether the underlying data accurately represents the renter's journey.

Analysis presented by Lee examined more than 500,000 contacts and approximately 350,000 residents. The findings exposed significant weaknesses in current reporting. During the journey from lead to lease, the recorded source changed for more than 38% of residents, while approximately 22% of eventual residents had duplicate records. By the end of the process, the panel estimated attribution was only about 50% accurate.

Why? Apartment shopping isn't linear. The average lease analyzed included more than 32 high-intent website engagements and approximately 2.5 different source touchpoints. Prospects repeatedly research, return, compare, tour, respond to retargeting, and interact with multiple channels before signing.

Shannon illustrated this complexity with one renter journey spanning 21 months, 186 events, six sources, and four properties. The journey began with Apartments.com but ultimately recorded the lease source as broker/realtor—demonstrating how dramatically attribution can change between discovery and conversion.

The consequence is financial. When operators rely on inaccurate last-touch reporting, they risk cutting channels that played meaningful roles earlier in the journey. Better attribution isn't simply a marketing measurement problem; it's necessary to allocate budgets intelligently and demonstrate ROI to ownership.

Key Takeaways

• Stop assuming the last touch created the lease. The renter journey increasingly involves multiple channels and interactions.
• “Property website” may be a catch-all, not the true source. Reporting systems can obscure the marketing that originally influenced the renter.
• Duplicate records distort attribution. Connecting identities and interactions throughout the journey is critical.
• Collect and stitch your own data. Combining website, CRM, PMS, ILS, and other sources can create a more complete picture.
• AI can help interpret complex journeys. The panel demonstrated that AI could rapidly visualize and analyze hundreds of renter interactions once the data was assembled.
• Industry collaboration is needed. Operators, PMS providers, marketers, marketplaces, and data and software engineers will need to work together to create scalable attribution standards.