Harvest AI for Real Estate
According to Keller Williams, Geographic Farming is the #1 way for a Real Estate agent to grow and scale their business.
TLDR
Geographic farming is a top strategy for real estate agents, but its time-consuming tasks often lead to inconsistent efforts and missed opportunities. Through customer discovery with real estate agents, I identified their highest value problems to solve around lead generation and mapped out their geo-farming processes. Harvest AI was developed to simplify and automate these processes, identifying high-turnover farms, sourcing and formatting lead data, and nurturing leads consistently. By analyzing ownership patterns, contactability, and demographics, Harvest AI tailors marketing efforts and predicts selling likelihood, resulting in a significant increase in conversion rates. This solution, validated through prototyping and feedback from agents, reduces farming time by 90%, allowing agents to focus on more strategic activities.
Role: Founder, Designer, Product Strategist.
What is Geo-Farming?
Geo-farming is a marketing strategy used by real estate agents to establish and nurture a presence within a specific geographic area or demographic group. The goal is to become the go-to expert in that area or for that group, ultimately generating more leads, listings, and sales.
Defining the Need
Quick identification of high-turnover geographic farms.
Easy sourcing and management of lead data.
Consistent lead nurturing.
Challenges
Time-consuming and complex farming processes.
Inconsistent lead nurturing efforts.
Difficulty in sourcing, formatting, and reaching out to leads.
Identifying high-conversion leads.
Process
The development of Harvest AI began with extensive customer discovery, engaging with real estate agents to understand their pain points and developing a target persona to identify the highest value problem to solve.
By mapping out the agents' current geo-farming processes, I iterated on potential future states and solutions.
Solution
I created a proof of concept and demo of Harvest AI (demo available upon request). This prototype was then validated through continuous feedback from real estate agents, ensuring it met their needs.
Outcome
The development of Harvest AI has the potential to transformed real estate farming for agents. By automating data acquisition, management, and lead nurturing, agents will see 90% reduction in the time spent on these tasks. The AI's ability to identify high-turnover farms and predict potential sellers will result in a substantial increase in engagement and a tenfold boost in conversion rates. Personalized and consistent communication will open the door to more leads, appointments, and listings. Overall, Harvest AI has the potential to transform the real estate farming process, allowing agents to focus on strategic activities and achieve better results with less effort.