This framework is the methodology I use to evaluate market behavior, liquidity, and decision risk across South Florida real estate markets.

One of the most common questions I hear from buyers and investors is whether a market is "good."

The problem is that most people try to answer that question using a single metric. Price. In reality, price is only one layer of information. There are six layers that together produce a full picture of what a market is actually doing — and more importantly, what it is about to do.

The Six Layers

Figure 1 — The Six-Layer Market Analysis Framework
What most buyers see
Where real decisions are made
The Six-Layer Market Analysis Framework — Tamara Lima Real Estate
Layer What It Measures Why It Matters
Price Agreed exchange value at closing The visible signal most people start and stop with
Inventory Active listings relative to absorption How much supply exists and how fast it moves
Liquidity How easily a property sells near its expected value Whether buyer and seller expectations are converging
Buyer pool depth The number of viable buyers for a specific property What price actually depends on
Market signals Leading indicators before price moves What the data shows before the headlines do
Decision risk Exit conditions at time of purchase What happens when you eventually need to sell

Layer 1 — Price

Price often reflects the cumulative impact of liquidity, inventory, buyer demand, financing conditions, and market sentiment — with a lag. By the time price moves visibly, the underlying conditions have usually been shifting for months.

In thin markets where monthly closings can be counted on one hand, price can hold steady on paper while the underlying conditions have already shifted. In Bal Harbour, median closed prices remained relatively stable in early 2026 while the failed-to-closed ratio reached 2.67 — meaning more listings were failing than closing. Price was the last layer to show it.

Layer 2 — Inventory

Months of supply is the most useful inventory metric: active listings divided by monthly closed sales. In many residential markets, supply below six months tends to favor sellers, while supply above twelve months often reflects a more buyer-friendly environment. Extremely elevated supply levels can indicate a disconnect between inventory and demand — though context always matters. A market with 45 months of supply in a high-barrier coastal location behaves differently than the same figure in a commodity market.

What inventory doesn't tell you: whether sellers will actually move on price. A market can carry high inventory while sellers remain anchored to prices from a prior cycle. Inventory measures supply. It doesn't measure willingness to transact.

Layer 3 — Liquidity

Liquidity in real estate is not about price level. A $5M property in a building with two viable buyers is less liquid than an $800K unit with a deep, active buyer pool. Liquidity measures whether buyer offers and seller expectations are converging — and how quickly.

Two metrics used together: months of supply and the failed-to-closed ratio — cancelled and withdrawn listings divided by closings. A ratio below 0.5 suggests healthy convergence. Above 1.0 means more listings are failing than closing. Above 2.0 means the market is communicating something sellers have not yet accepted.

→ Explored in depth: What Is Real Estate Liquidity? (coming)

Layer 4 — Buyer Pool Depth

Price doesn't determine buyer pool depth. Buyer pool depth determines price.

Two buildings in the same neighborhood at the same price per square foot can draw from completely different buyer pools — one national and international, one narrow and price-sensitive. The listing statistics won't show the difference. The resale experience will. This is why building selection, not neighborhood selection, is the most consequential variable in most decisions across these markets.

→ Explored in depth: Why Buyer Pools Matter More Than Price (coming)

Layer 5 — Market Signals

The data shows shifts before the headlines do. Failed contracts are not noise. When cancelled and withdrawn listings begin climbing relative to closings, it typically signals sellers are testing prices the market won't support — months before reductions appear in the median.

DOM expansion at the building level, not the market level, is often the first readable signal. One building trading at 400+ days while the surrounding market trades at 90 days is not a market trend. It is a building-specific signal that requires building-specific analysis.

→ Explored in depth: The Hidden Signals Behind Market Shifts (coming)

Layer 6 — Decision Risk

The question most buyers never ask at purchase: who will buy this from me, and under what conditions?

Every purchase is the beginning of an exit. The buyer pool that exists today may not exist in the same form in five or ten years. The rental fallback — whether a property can generate enough income to carry itself if it can't sell immediately — is the floor under that risk. Exit conditions are evaluated before entry conditions. That sequence is deliberate.

→ Explored in depth: The Question Most Buyers Never Ask (coming)

Methodology Note

These six layers are not evaluated in isolation. High inventory with a low failed-to-closed ratio can still indicate a functioning market — supply is present but transactions are completing. High inventory with a high failed-to-closed ratio and expanding DOM is a different picture entirely. The signal weighted most heavily: when multiple layers point in the same direction simultaneously.

No framework eliminates uncertainty. The goal is not prediction. The goal is making better decisions with better information.

How This Framework Is Used

Bay Harbor Islands

The surface reads as a mid-market with a $1.66M median. The layers below show a 0.07 failed-to-closed ratio — suggesting buyer and seller expectations are converging — while building-level data shows new construction absorbing faster than mid-generation inventory. The decision risk picture differs significantly between a buyer evaluating a new delivery and one evaluating a building with extended DOM history.

Surfside

Inventory and price suggest a healthy market. Removing the Surf Club from the dataset changes the picture: one building is carrying the majority of closed volume, and the broader market is moving more slowly than the headline numbers indicate. Buyer pool depth in Surfside is building-specific to a degree that makes neighborhood-level analysis insufficient for any serious decision.

Bal Harbour

Price has remained relatively stable. The layers beneath it show a market where approximately 45 months of supply and a failed-to-closed ratio above 2.0 suggest that seller expectations and buyer offers have not converged — and have not converged for several consecutive months. For buyers, that signals a negotiating environment. For sellers, it means pricing precision matters more here than in either adjacent market.

What This Means for Buyers

Two properties can look identical on paper and carry very different risk profiles. The difference is often invisible in the listing itself.

Understanding inventory conditions, liquidity, buyer pool depth, and exit risk can help buyers avoid decisions that appear attractive today but become difficult to unwind later. The six layers above are not additional complexity — they are the information that makes a multi-million dollar decision defensible.

What This Means for Sellers

Pricing a property without a clear picture of your building's buyer pool depth, the current failed-to-closed ratio, and the DOM pattern for comparable units is pricing without full information.

The market will eventually correct for mispricing. The question is whether that correction happens before or after you commit to a number, a timeline, and a strategy.

Part of the Research & Market Intelligence series · Bay Harbor Islands Report · Surfside Report · Bal Harbour Report