Real estate demand doesn't behave like a normal SaaS funnel – it's local, seasonal, and slow to convert. With rate volatility still swinging local inventory month to month, a performance program built for PropTech has to account for all three, or it burns budget optimizing against noise.
The Problem
Metro-level demand doesn't average out
A campaign that performs well in Austin can lose money in Phoenix during the same quarter, because inventory levels, rate sensitivity, and buyer psychology differ by market. Most performance teams run one national campaign structure and read the blended CPA, which hides which metros are actually working. The result is budget staying allocated to markets that are quietly underwater while strong metros stay underfunded.
High-value conversions don't generate enough volume to optimize on
A platform's algorithms need volume to find patterns, and a high-value transaction converting once every few weeks per campaign doesn't give Google or Meta enough signal to optimize toward. Teams either wait months for statistical confidence they'll never fully get, or they let the algorithm chase proxy events like form starts that don't correlate with closed transactions. Both paths waste spend on the wrong optimization target.
Agent and consumer audiences compete for the same budget line
PropTech platforms often need to acquire both the consumer end user and the real estate agent or broker who transacts on the platform, and these are structurally different buyers with different funnels, different CPAs, and different sales cycles. When both live under one performance budget without separate targets, the channel that shows faster ROAS – usually consumer – eats the agent budget even when agent acquisition is the more valuable long-term lever.
Seasonality gets treated as noise instead of a planning input
Real estate transaction volume swings hard by season and by local market cycle, and campaigns built on flat monthly budgets either overspend in slow months chasing a CPA that isn't achievable, or underspend heading into peak season because the prior month's data looked weak. Marketing teams without a seasonality-adjusted plan end up reactive instead of positioned ahead of demand.
How We Help
We start by pulling transaction and lead data apart by metro, not by campaign. Before touching ad spend, we look at which markets have the volume to support statistical optimization and which don't, and we build the reporting structure around that split from day one. A metro that generates a handful of transactions a month gets measured and managed differently than one that generates hundreds.
From there we build the geo-specific campaign architecture: separate budget lines, creative calibrated to local market conditions – inventory tightness, price trends, buyer urgency – and separate bid strategies per metro tier. High-volume metros run on tighter automated bidding because the platforms have enough data to optimize well. Low-volume metros run on manual or semi-automated bidding with proxy metrics that actually predict a closed transaction, not just a lead form.
For the small-sample problem specifically, we build a statistical framework that treats low-volume markets honestly. Instead of pretending a campaign with a handful of conversions a month has reliable CPA data, we widen the confidence window, extend the evaluation period, and use blended signals – engagement quality, time-on-site, return visits – as leading indicators while transaction data accumulates. That framework is part of our broader <a href="/services/measurement/">measurement</a> approach, and it's what keeps teams from killing a campaign that just needed more time to prove out.
On the dual-audience problem, we split agent and consumer acquisition into separate budgets with separate KPIs from the start, reported separately to leadership. Agent acquisition typically has a longer cycle and higher lifetime value per acquisition, so we protect its budget from being reallocated toward whichever channel shows the faster short-term ROAS. This is a <a href="/services/strategy/">strategy</a> decision made explicit, not left to whichever team argues loudest at the monthly budget review.
Execution runs through a small embedded team that owns both media buying and local market intelligence – reading MLS data, permit activity, and rate movement as inputs to campaign pacing, not just historical CPA. With markets already pricing in the typical fall listing slowdown, we adjust spend ahead of seasonal shifts based on that intelligence rather than reacting to a slow month after it's already happened.
Measurement closes the loop. We tie ad platform data back to actual closed transactions, not lead volume, through CRM integration and metro-level dashboards that separate agent and consumer performance. Leadership sees which metros and which audience are actually producing revenue, not just which ones are producing cheap leads.
What we deliver
- Metro-tiered campaign architecture – separate budgets, bids, and creative calibrated to local market volume and conditions
- Small-sample statistical framework – confidence-adjusted evaluation windows and predictive proxy metrics for low-volume markets
- Dual-audience budget split – agent and consumer acquisition managed and protected as separate programs with separate KPIs
- Seasonality-adjusted pacing model – spend planned ahead of local market cycles instead of reacting to them
- Transaction-level attribution dashboard – CRM-tied reporting by metro and audience, not blended lead-volume numbers
A national CPA target on a PropTech campaign is an average of markets that are actually winning and markets that are actually losing – and the average hides both.
Our Methodology
We run a 90-day sprint structured around the specific mechanics of real estate performance marketing. The first 30 days are an audit: we pull historical campaign data by metro, identify which markets have enough volume for reliable optimization, and map the current agent-versus-consumer budget split against actual transaction value by segment. This tells us where the real leaks are before we touch a single bid.
Days 30 to 60 are execution. We rebuild the campaign structure around metro tiers, stand up the dual-audience budget split, and implement the confidence-adjusted measurement framework for low-volume markets. Creative gets rebuilt where local market conditions demand it – a tight-inventory market needs different messaging than one sitting on a buyer's-market glut.
Days 60 to 90 are measurement and calibration. We validate that the CRM-tied attribution is producing accurate transaction-level data, adjust bid strategies based on early results by metro tier, and hand leadership a reporting structure that separates signal from noise going forward. This isn't a one-time audit – it's a framework the internal team can run without us once it's built, which is the point of the fractional model over a retained agency relationship.
How We Work
The first 30 days are diagnostic – we're in your ad accounts, your CRM, and your transaction data before we recommend anything. We don't propose a media plan until we know which metros actually have the volume to support one.
On the client side, we need access to ad platform accounts, CRM or transaction database access, and one point of contact who understands local market dynamics – usually a growth lead or the founder in earlier-stage companies. On our side, a fractional strategist and a media execution lead run the engagement, with the strategist owning the metro and audience segmentation work.
Cadence is weekly during the first 60 days while we're rebuilding campaign structure, moving to biweekly once the framework is stable and the internal team is running day-to-day execution with our oversight. Monthly reporting reviews cover metro-level performance and agent-versus-consumer split against the targets set in the audit phase.
Most engagements run 4 to 6 months for the initial build and stabilization period, with some clients extending into an ongoing advisory arrangement once the framework is proven and the internal team has taken over execution.
- Metro-level CPA accuracy
- Agent-versus-consumer budget efficiency
- Reduced spend waste in low-volume markets
- Seasonality-adjusted pacing accuracy
If your real estate / proptech company needs performance marketing leadership, we should talk.
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Frequently asked questions
How much does performance marketing cost for a PropTech company?
It depends heavily on how many metros you're operating in and whether you're running dual-audience campaigns. A fractional engagement for the strategy and measurement framework typically costs less than hiring a full-time VP of Growth Marketing, and less than a full-service agency retainer covering the same scope.
How long before we see results from a performance marketing engagement?
High-volume metros typically show directional signal within the first month once the campaign restructuring is live. Low-volume metros take longer because the whole point of the small-sample framework is not to draw conclusions before there's enough data – expect a full quarter for those markets to produce a reliable read.
How does the performance marketing team integrate with our existing staff?
We embed alongside your existing growth or marketing team rather than replacing it. Your team keeps day-to-day platform access and execution once the framework is built; we own the strategy, the metro segmentation, and the measurement architecture, and we're in weekly syncs during the build phase.
What makes Winston Francois different from a real estate marketing agency?
Most real estate marketing agencies are built around lead generation for individual agents or brokerages, not performance marketing for a PropTech platform balancing agent and consumer acquisition at scale. We come from an operator background, not an agency retainer model, so we're building a framework your team can eventually run without us, not a dependency that requires renewing a contract every quarter. The strategist doing the metro-level analysis stays on the account instead of handing it to a junior media buyer.
How do you measure ROI on a PropTech performance marketing engagement?
We tie ad platform spend directly to closed transactions through your CRM, broken out by metro and by agent-versus-consumer segment, instead of reporting on lead volume or blended CPA. That means leadership can see which specific markets and which audience are actually producing revenue. For low-volume metros where transaction data alone isn't statistically reliable yet, we report against the predictive proxy metrics we've validated as leading indicators.
What type of PropTech company is the right fit for this service?
This fits PropTech companies operating across multiple metros, typically Series A through growth stage with meaningful GMV, where a single national campaign structure is already showing inconsistent performance by market. It's a particularly good fit for platforms with a dual-audience model – agents and consumers, landlords and renters, buyers and sellers – where one performance budget is currently forcing a tradeoff between the two sides. The first step is a data audit call where we look at your current metro and segment breakdown together.
