Why we built LeaseStack.

We have sat in more real-estate marketing reviews than we can honestly count. Different operators, different portfolios, different verticals. The meeting was always the same. Someone presented a deck with impressions, clicks, and reach. Someone else asked how many leases it produced. Nobody in the room had a defensible answer, and everyone had agreed in advance to pretend otherwise.

The shift

We are moving the read on your marketing out of the agency's hands and into yours. That sentence sounds simple. The implications are not.

Most operators are running a multi-billion-dollar industry on a patchwork of disconnected tools. Every dollar spent and every lead captured sits in a different login, none of it visible, analyzed, or acted on at the asset level. The agency keeps the data. The PDF gets mailed monthly. Nobody on the asset side can answer the question that matters, which is whether the spend produced a lease.

We have lived this from the asset-management seat. One of us ran a real lease-up by hand and wanted to know, on a Monday morning, what every channel of spend was doing. The answer was never available. It was a deck a week later, with the wrong attribution, presented by someone who had never set foot in the building.

The promise

Open the black box. Visible. Analyzed. Acted on.

That means a real read on every channel, in one place, run on the data you already produce. It means pacing-vs-plan that pulls from the PMS, not the agency's creative deck. It means an AI briefing every Monday with three specific actions, written in plain operator language, not agency jargon. It means the asset-management seat finally owns the marketing read.

The principles

We hold ourselves to five.

One: operator-built, not vendor-built.Every feature is the answer to a question we asked ourselves on a Monday morning and could not find the data for. If a vendor would have built it, we don't want it.

Two: outcomes over activity. Leases signed, not impressions. Pacing-vs-plan, not reach. The number on the report is the number the asset side is graded on.

Three: recommendations, not just reports. A dashboard that does not tell you what to do next is overhead. Every Monday briefing ends with three specific actions, ranked by dollar impact, in plain operator language.

Four: AI made digestible, never intimidating.The models do the heavy reading. The interface stays plain. Nobody on the asset side should need a data scientist to understand the output.

Five: replace the manual work, not the people.Your property manager still runs the asset. Your leasing agents still tour. Your in-house marketer still owns the calendar. We stop the meeting where nobody can answer how many leases the spend produced.

How we are building it

With operators, on a live property, in public.

LeaseStack is running today on Telegraph Commons, a student-housing lease-up in Berkeley, built alongside the team at SG Real Estate. We did not build a demo and then sell it to someone. We built the version we wanted on a real asset, with real pacing, and we are opening it to other operators one at a time. The pilot is free for that exact reason: we want operators to see their own data first, before anyone asks for a card.

If you have run a lease-up and felt the gap between what your spend is doing and what your agency says it is doing, we want you in the room. The first cohort of operators is shaping the roadmap alongside SG Real Estate. The product gets sharper every time an operator sits with it and points at the part that does not match how they think.

The LeaseStack team