Brydgit Case Study
Off-Market Real Estate. Intelligently Matched.
A VC-backed real estate tech platform built from the ground up to connect qualified buyers with agents holding off-market listings.
My Role
Lead Brand Strategist
Brought in by a VC-backed real estate tech startup to own the product strategy from concept through launch. I strategized the entire platform end-to-end, from how the matching logic would work to the dual-sided architecture to go-to-market for two distinct user segments, then directed a cross-functional team of developers and designers to execute the vision.
Tools & Platforms
The Challenge
The residential real estate market has a blind spot: a significant volume of properties are sold before they ever reach the MLS. Agents hold “pocket listings” which are exclusive off-market deals they prefer to sell quietly, retaining control and, in many cases, collecting a larger commission by avoiding co-broker splits. For buyers, this means missing deals they never knew existed. For agents, it means sitting on inventory with no efficient pipeline to serious buyers.
Pain Points — Uncovered Through Agent & Buyer Research
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Buyers routinely missed opportunities because properties were sold off-market before any public exposure
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Buyers had no visibility into pocket listings or any mechanism to connect with the agents holding them
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Agents with exclusive listings lacked a direct, qualified pipeline of buyers outside their own network
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Mass-market listing platforms exposed deals that agents specifically wanted to keep private
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No existing platform addressed the off-market matchmaking gap in a way that protected both parties
The Opportunity
A gap existed for a platform that could connect serious, pre-qualified buyers to agents holding off-market listings, without exposing sensitive deal details prematurely. The right approach: build a criteria-based matching engine that qualifies buyers before any introduction is made, protects listing privacy until a match is confirmed, and steps out of the transaction entirely once the connection is made.
The Insight
The introduction itself was the product. Not the listing, not the transaction: just the qualified, anonymous match. Once you understood that, everything else followed: protect the listing until the match is confirmed, vet the buyer before the agent ever sees them, and step out completely once the introduction is made. The platform's value was in the moment of connection, not in what came after it.
What I Built
Bridging the Gap Between Buyer and Agent
01
PLATFORM STRATEGY & CONCEPT
04
DUAL GO-TO-MARKET STRATEGY
02
USER RESEARCH & DISCOVERY
05
PLATFORM TESTING & ITERATION
03
UX DESIGN & PLATFORM ARCHITECTURE
06
MONETIZATION MODEL
01
Platform Strategy & Concept
Strategized the entire concept from the initial idea presented by the VC through full platform architecture. I defined the two-sided marketplace model, buyers on one side, listing agents on the other, and architected the core matching logic: a weighted criteria engine that scored buyer preferences (area, bedrooms, bathrooms, amenities, budget) against agent-submitted listing profiles. I also established the design principle that would define the platform: facilitate the qualified introduction, then get out of the way.
02
User Research & Discovery
Conducted in-depth user interviews and research with both buyer and agent segments. Research validated the core problem on both sides and surfaced the key trust barriers that would shape the platform design. Most critically: agents would not engage unless listing details were fully protected until a confirmed match was made. Buyer research revealed that onboarding quality mattered, agents needed confidence that the platform was delivering serious, pre-qualified buyers, not tire-kickers.
03
UX Design & Platform Infrastructure
Designed two distinct interfaces for two very different user types.
Agent Interface:
Intentionally simple and static. Agents submit their listing criteria once and wait for qualified match notifications. No ongoing interaction required.
Buyer Interface:
Dynamic and continuously updatable. Buyers complete a detailed onboarding questionnaire and can refine their criteria at any time. Preference updates trigger new match scans; buyers are notified immediately when a qualifying listing becomes available.
At the core was an anonymous matching flow — no listing details, agent identity, or property specifics were disclosed until a match was confirmed on both sides. The introduction was made via anonymous email, and both parties took it from there on their own terms. This kept Brydgit out of the transaction entirely while ensuring privacy was never compromised.
04
Dual Go-To-Market Strategy
Because Brydgit served two fundamentally different audiences — buyers looking for access and agents looking for qualified leads — we built two wholly separate marketing strategies, each with its own messaging, channels, and creative approach. Nothing was shared between them; what motivated a buyer to sign up had no bearing on what would move an agent to list.
Segment 1: Buyers
Positioned Brydgit as access to inventory the market never sees. Key message: get in front of deals before they go public — or deals that never will.
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Developed a dedicated social media strategy targeting prospective homebuyers in our five launch markets across platforms, with creative focused on the frustration of missing out and the appeal of exclusive access
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Placed digital and print ads in the real estate sections of local publications serving each target market, reaching buyers already in active search mode
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Built conversion-focused landing pages and onboarding flows to move interested buyers into the platform efficiently
Segment 2: Agents & Brokerages
Positioned Brydgit as a premium, private pipeline for exclusive listings — sell quietly, collect a larger commission, receive only vetted buyer introductions.
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Developed a separate social and digital strategy aimed at agents and brokerages, with messaging framed around efficiency, privacy, and lead quality rather than buyer-side access
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Placed targeted ads in local real estate publication channels frequented by agents and brokers in the launch markets
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Executed direct outreach to agents and brokerages — personalized, one-on-one contact designed to build trust and walk agents through the platform’s value proposition before asking them to commit
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Outreach was sequenced to follow testing feedback, ensuring the pitch reflected what agents had already validated as valuable during the product testing phase
05
Platform Testing & Iteration
Conducted testing cycles with real agents and buyers to validate the platform before launch. Findings were primarily UI/UX refinements — the core matching logic, the anonymized introduction flow, and the fundamental concept were all validated. Feedback confirmed the platform was intuitive to both sides and that the value exchange was immediately clear.
06
Monetization Model
Designed a dual-revenue model aligned with each segment’s incentives:
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Agents paid a subscription fee to list on the platform
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Buyers paid a nominal per-match fee each time they were connected to a qualifying listing
The model kept Brydgit deliberately lightweight: no transaction fees, no involvement in the deal itself, no complications from sitting in the middle of a highly regulated process. By designing the platform this way, we protected the integrity of how agents operate and kept the experience clean for both sides.
Metrics (Platform Lifetime)
5 Strategic Markets Launched - towns identified through research as having the highest off-market sales frequency
120 Buyer Sign-Ups acquired through targeted outreach and conversion-focused onboarding
8 Agent Sign-Ups
Key Learning — Agent Adoption
Agent sign-up volume revealed an important gap between research intent and real-world behavior. During testing, agents consistently responded positively to the concept — vetted, motivated buyers with no marketing effort required on the agent’s part. But when it came to paying for access, adoption was slower than projected. Agents were open to the value of warm, qualified leads; they were less prepared for the idea of paying a subscription to receive them, regardless of lead quality. This behavioral gap between testing enthusiasm and purchase commitment was a key product learning — one that pointed toward alternative monetization structures (success-based fees, brokerage-level partnerships) that would better align with how agents are accustomed to spending.