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Key Points

1
Metropolitan Brokers significantly increased their number of closed deals after partnering with LocalizeOS.
2
Through the partnership, Metropolitan Brokers was able to re-engage with previously disqualified leads, which were nearly lost due to a lack of communication and engagement.
3
LocalizeOS leveraged its proprietary AI-powered tech and its customer success team to communicate with buyers at scale in real-time (<30 seconds). This solution enabled Metropolitan Brokers to close 5.5% more deals than the industry average.

Problem

Metropolitan Brokers, a real estate brokerage in NYC that purchases homebuyer leads on a regular basis, was looking for a partner who could help them engage with their leads faster and at scale. After wasting hours of time conversing and communicating with prospects who weren’t ready to buy a home, Metropolitan Brokers was looking to expedite the lead-nurturing process in order to save their agents time, eliminate repetitive qualifying tasks, and increase the number of closed deals. 

Opportunity

According to the NAR (National Association of Realtors), leads purchased online convert at a rate of only 0.5%. Naturally, the leads purchased by Metropolitan Brokers were no different. Despite agents from Metropolitan Brokers actively engaging with these prospects, thousands of leads (6,500 to be exact) with a median age of just two months were about to be discarded due to them being unresponsive or not ready to move forward. 

Solution

To salvage these leads (and future leads), Metropolitan Brokers partnered with LocalizeOS to enact a long-term tech-oriented solution. Metropolitan would leverage hunter by LocalizeOS to engage with their leads at scale and vet whether they’re ready to buy a home, ultimately nurturing them through the sales funnel.

hunter meaningfully engages with leads in real-time through SMS text using Large Language Models that take less than thirty seconds to respond to clients. hunter learns from every client interaction and refines the listing suggestions based on the buyer’s personal preference. The speed and scale at which hunter converses with prospects have enabled Metropolitan to salvage significantly more potential buyers. When paired with LocalizeOS’s robust real operating system and real estate homebuying experts, the results became even more powerful. 

LocalizeOS strategically employs a two-pronged approach to real estate lead conversion, pairing conversational technology alongside industry experts to support the agent and help close deals that otherwise would have gone dark. While technology does most of the heavy lifting, engaging, learning, qualifying, and activating leads in real-time and at scale, LocalizeOS’s homebuying advisors team is there to step in as soon as a homebuyer requires an extra level of support. 

“The quality of the buyer who is engaged by LocalizeOS is much better. We simply did not think we could reactivate as many leads as LocalizeOS did and continues to do for us day after day and week after week.”

Daniel Eivasov
CEO, Metropolitan Brokers

Result

5.5% More Deals than the Industry Average

By employing this bespoke two-pronged approach, Metropolitan Brokers received 12x more converted leads than the industry average. LocalizeOS also significantly improved the quality of those leads’ homebuying experience, curating an efficient and seamless customer experience.

Solution Application

Pie Chart Sample
98% 56% Activated Leads Leads Engaged
LocalizeOS activated and conversed with 98% of the discarded leads (to be exact, 6,712 of 6,849)
Out of those 6,712 leads, 56% of them (3,774) were classified as “Engaged buyers”

*Engaged buyers are tagged as having done one or more of the following:
Click and view hunter’s sent listings, react with feedback, adjust
preferences, or chat with LocalizeOS’s homebuying advisors.

233 Engaged buyers were matched with agents after asking to view a home that perfectly fit their criteria
Industry standard
0.5% Conversion
1.17 closed deals
LocalizeOS
6.1% Conversion
14 closed deals
12x
The industry
average
0.33 x 12 = 4

*6% vs 0.5% = 5.5% more conversions than the
national average