248 days in ACOBIR’s MLS: what the figure measures and how to manage the cycle

In a sample of 235 residential sales recorded in ACOBIR's MLS, the average time to close was 248 days during the second half of 2025, with a 9% discount from the listing price. The figure does not represent the entire market. It does raise an operational question: how to record, respond and follow up throughout a long cycle.

The figure: 248 days and a 9% discount

According to closings recorded in the Xposure system of ACOBIR’s MLS, a residential sale took an average of 248 days to close in the second half of 2025, based on a sample of 235 units, with an average discount of 9% from the listing price (ACOBIR MLS and Statistics Committee, H2 2025). This is a public MLS reference, not a measure of the entire market.

An earlier MLS-based publication reported 203 days for 67 residential sales in the fourth quarter of 2023. The 2025 average is about 22% higher, but the periods and sample sizes differ; that comparison alone does not establish a market-wide trend.

A long cycle can mean higher maintenance costs for the owner and a commission that arrives later. As an illustration only: with a total commission of 5% on a $300,000 sale and an equal split between both sides, each side would generate $7,500 gross before internal splits, taxes and costs. The commission and its distribution depend on the actual agreement.

What a 248-day average does not prove

An average summarizes different observations in a single number. It does not show how many properties closed in fewer or more than 248 days, how the times were distributed, or what share of the sample belonged to each area, price range or property condition. Nor does it reveal whether a listing took longer because of price, paperwork, financing, negotiations, viewing availability or a combination of factors.

That is why “248 days” should not be used as a promised deadline to an owner. The professional answer is more precise: the cited sample helps show that the cycle may be long, but a property's strategy requires comparable properties, condition, price, documentation and demand in its immediate area. If those inputs are missing, aggregate data cannot replace them.

Nor can the increase from 203 days in Q4 2023 be described as a national trend. The period, sample size and possibly its composition changed. The comparison raises a question worth tracking with equivalent snapshots; it does not establish a causal conclusion.

Where time is lost before and during the cycle

That 248-day average measures the time from a property’s entry into the MLS to closing. But before that, there is another quiet loss that no market statistic captures: the lead that arrived and never received a response.

In a secret-shopping exercise involving 100 inquiries to more than 25 US firms in 2024, 47% received no response, and the average response time among those answered was 8 hours and 17 minutes (Mike DelPrete, US, 2024). Ten years earlier, a separate sample of 384 inquiries to US brokers recorded 48% with no response and an average of more than 15 hours among those answered (WAV Group, US, 2014). These are external references, not a series or a measurement of the Panamanian market.

Many sales conversations in Panama take place over WhatsApp, but there is no equivalent public measurement establishing a local expectation in minutes. The practical rule remains to record the inquiry and agree on a response time the team can sustain.

Response time: what the studies measured

Historical evidence on response time has a narrow scope: US companies, web forms and calls. It did not measure Panamanian brokers or WhatsApp conversations:

• Across six companies, with more than 15,000 web leads and 100,000 call attempts, making phone contact after 5 minutes rather than 30 was associated with 21 times higher odds of qualification and 100 times higher odds of contact (InsideSales, Lead Response Management Study, 2007).

The problem is not that brokers do not know this. It is that a consistent response requires a process, responsible people and, where appropriate, managed automation. A service proposal can add a managed bot using Meta’s official API; its scope is agreed for each operation. It is not a native FARO 0.5 assistant or a universal promise of automatic responses, qualification or scheduling.

Systematic follow-up: the part of the cycle you can control

Responding is only the beginning. In a process that may last months, recording context, assigning an owner and setting a next action make follow-up verifiable.

In NAR’s technology survey in the United States, around 68% of respondents had tried AI in their business, 17% reported a significantly positive impact and 7% used chatbots for lead capture or communication (NAR, 2025 Technology Survey; n=1,241, response rate of 2.5%). It is not a measurement of Panama and does not prove these tools are connected to an operation.

Systematic follow-up starts with a pipeline of clear stages, a responsible person and a visible next action. If the business purchases managed reminders or sequences, their scope and supervision are defined in the proposal. FARO 0.5 does not send autonomous follow-ups on its own.

Discipline does not mean messaging everyone every day. It means retaining context and agreeing on the right next step. Someone who needs to sell before buying requires a different process from someone who already has bank approval. An off-plan investment requires different milestones from a move-in-ready home. The system should reflect those differences without turning the client into a generic sequence.

An operational plan for a cycle that can last months

Stage 1: prepare the property. Before publishing, confirm ownership and available documents, physical condition, service scope, fees, image authorization and the update channel. Record the source of each feature. An incomplete listing multiplies questions, corrections and promises that are hard to keep.

Stage 2: establish a pricing hypothesis. Separate asking price, closing price and commercial opinion. Document which comparable properties you used, their dates and which differences require adjustment. If no comparable closed sales are publicly available, say so. A transparent estimate protects the relationship better than an overly precise number without evidence.

Stage 3: distribute and capture. Publish with consistent fields on your own digital asset and the channels you choose to rent. Each inquiry should retain its source, property, date, owner and applicable consent. The goal is not more notifications: it is being able to reconstruct what happened with each opportunity.

Stage 4: qualify and view. Record budget, payment method, timeframe, areas considered, non-negotiable needs and the next action. Do not confuse a fast response with good qualification. Speed opens the conversation; judgment determines what to ask and which property to propose.

Stage 5: review the signal. If there are many views but few inquiries, review the message, distribution and price. If there are inquiries but no viewings, review qualification and presentation. If there are viewings without an offer, document recurring objections. No single metric explains the cause, but the pattern helps you make a better decision than “let's wait another week.”

The minimum dashboard that prevents selling blind

A useful dashboard does not need twenty charts. For each property, start with six measures: days listed; inquiries by source; time to first response; inquiries with an assigned owner; completed viewings; and the next price or presentation review. Add offers received when there are any, and retain the stated reason for a lost opportunity without forcing the team to invent one.

Review the dashboard on a fixed schedule. The meeting should produce a decision, not just a reading of numbers: what stays, what changes, who does it and when it is reviewed. Without action, the report is decoration.

For the owner, turn the record into a brief update: exposure achieved, relevant conversations, objections observed, proposed changes and the next review date. Authority does not come from saying “the market is slow”; it comes from showing what you observed and what you will do with that information.

Market data: stop selling blind

Two references from 2025 show why asking prices should not be confused with closing prices. RIAL Di Tella and Inmuebles24 reported median asking prices of $1,804/m² in March and $1,881/m² in September for selected neighborhoods in Panama City. The MLS sample reported an average closing price of $1,650.77/m² for apartments in the city in the second half of the year (RIAL Di Tella and Inmuebles24 and ACOBIR MLS, 2025).

Coverage, filters and measures differ, so the gap is neither a market discount nor proof of why a property is not selling. It is a reminder that asking price and closing price are not the same variable. Panama has neither a public transaction series nor an MLS with full coverage; each business must document the source and scope of the data it uses.

Shortening the cycle is an operational decision

The 248 days are the average for that MLS sample, not a measurement of the entire market or your inevitable outcome. Three levers are under your control today: agreeing on a sustainable response time, following up through a system rather than memory, and pricing with the best available closing data. None requires a different market: they require a different method.

FARO 0.5 connects information, inventory, the website, clients and next actions. CRM and WhatsApp support are quoted according to the operation's scope. We do not present these integrations as a native inbox or autonomous follow-up.