80%
Current 12-Month Success Rate
The percentage of "Prime" predictions that result in a market listing within 12 months.
7+
Years of Colorado Market Data
The AI has been exclusively trained and refined on the unique dynamics of the Colorado real estate market since 2017.
19.8%
Peak Market Share of Listings
In low-inventory months, the AI successfully identified nearly 1 in 5 of all properties that came on the market.

Evolution of Predictive Success Rate (2017–Present)

Phases of AI Evolution

HomeValue (HOMENDO) Era ----->

Development

2017 - May 2020

Avg. Leads / Day: 1.8 Data Inputs : 86 Monthly Market Signals : 35 Owner Profiles : 1
Covid Crisis

Jun 2020 - Jun 2022

Avg. Leads / Day: 14.3 Data Inputs : 127 Monthly Market Signals : 41 Owner Profiles : 1
Growing

Jul 2022 - Jun 2024

Avg. Leads / Day: 28 Data Inputs : 369 Monthly Market Signals : 207 Owner Profiles : 3

TimeToSell.AI Era

TimeToSell.AI

Jul 2024 - Present

Avg. Leads / Day: 53.2 Data Inputs : 721 Daily Market Signals : 2,509 Owner Profiles : 36

The Metric: Proving Accuracy at Scale

A single month is a snapshot, not a trend. To provide a true measure of performance, TimeToSell.AI calculates its success rate using a rolling 12-month window. This methodology smooths seasonal volatility and demonstrates the model's long-term reliability.

As the "Phases of Evolution" data shows, this accuracy was achieved and improved while scaling operations. This is a vital proof-point for brokerages and growing teams, validating the model's effectiveness on a broad scale.

A Model Forged by Market Realities

The journey to 80% accuracy reflects the AI's adaptation to real-world events. The initial "HomeValue" phase established a strong baseline, detailed in the strategic Playbook. The model was challenged during the "COVID Crisis" due to unprecedented market behavior, causing a visible dip in accuracy.

The subsequent "Growing" phase demonstrates the AI's resilience, leading to a sharp increase in performance. The final "TimeToSell.AI" phase, with its shift to daily signals and a dozen seller profiles, marks the latest evolution—a topic explored on the official blog.

An Agent's Guide to Predictive Accuracy

That's a fair and important question. The 80% accuracy rate means that 8 of those 10 properties are statistically validated to be listed on the MLS within 12 months. It confirms the opportunity is real. Converting that opportunity into a listing is where an agent's expertise comes in. The platform provides the highest quality at-bats; it's the agent's or team's role to turn those into hits. For solo agents, it provides focus. For teams, it provides a scalable system to maximize the conversion of these high-probability opportunities.

Trust is built on transparency and results. While the AI's algorithm is proprietary, its methodology is not. As this page shows, the model's accuracy is the result of a multi-year learning process, rigorously backtested against real-world MLS data. Furthermore, the system provides the "why" behind each prediction through its Actionable Narratives and Predicted Profiles. Instead of a black box, an agent gets a clear starting point for a conversation, allowing them to validate the AI's reasoning with their own market expertise.

The fundamental difference is being proactive versus reactive. Traditional leads (like portal inquiries or expireds) come from sellers who have already raised their hand, putting you in a competitive race. TimeToSell leads are homeowners who have not yet entered the public market. The AI identifies their motivation 3-12 months in advance, giving you the first-mover advantage to build a relationship and become their trusted advisor long before they speak to another agent.

To ensure the value and integrity of the leads, TimeToSell.AI limits the number of agents who can access predictions in any given Colorado ZIP code. This prevents lead dilution and creates a genuine competitive advantage for partner agents. Once the limited "seats" in a ZIP code are filled, it is closed to new agents, protecting the pipeline of those who secured a spot. This model ensures that agents are not competing with dozens of others over the same predictive opportunities.

The platform is designed to scale with an agent's business. For individual agents, it's a powerful efficiency tool, focusing their limited time on the highest-probability prospects. For teams and brokerages, it becomes a scalable system for growth. Team leads can use it to provide high-quality, pre-vetted opportunities to their agents, ensuring consistent prospecting and a predictable pipeline that helps with both recruiting and retention.