Automated market reports for realtors

Every month, thousands of agents open the board’s stats release, copy numbers into a template, export a PDF, and email it out — a ritual that consumes an evening and produces a document that is stale before most recipients open it. Automated market reports invert the model: the numbers are computed from the board feed and rendered live on your website, refreshed as sales close, with no assembly step at all.

What automation should actually compute

A market report worth publishing needs more than an average price. The figures that drive real conversations — and that BrokerFold’s stats engine computes per community and per property type — include:

• Sold medians and averages, from actual close prices, with the month-over-month and year-over-year movement that gives a number its meaning.
• Sales-to-new-listings ratio, the standard balance measure — defined in our SNLR glossary entry — that tells a seller whether they are walking into a bidding market or a waiting one.
• Months of inventory, the absorption view (explained here) that pairs with SNLR to describe market temperature.
• Days on market and volume counts, so “the market is slowing” is a chart, not a vibe.
• Month browsing, because a serious seller wants to see the trend, not one bar. Panels let visitors step back through prior months rather than trusting a single snapshot.

The presentation layer matters less than most vendors pretend, but one rule is non-negotiable: figures should render where decisions happen — on listing detail pages, inside neighbourhood guides, and on dedicated community panels — not in a PDF attachment.

The honesty problems automation must solve

Computed stats are only credible if the computation is disciplined. Small-cohort months need suppression, not false precision — a median built on three sales is an anecdote wearing a chart. Leases have to be excluded from sale averages, or one rental-heavy month quietly poisons the series. Asking prices must never blend into sold figures. And every tile on a page must read the same cohort definition, so the headline number and the trend chart cannot contradict each other. These are the rules BrokerFold’s engine enforces, and we verify the output the boring way: reconciling our computed medians against the board’s own published monthlies and documenting any cohort-definition differences.

Compliance is the other half. Sold-derived statistics are licensed board data, which means they display behind the VOW registration gate — server-enforced, so an anonymous visitor sees active-market figures while sold trends unlock at sign-in. A platform that lets you publish gated numbers to anonymous traffic is not doing you a favour; it is lending you a compliance problem.

Why this wins listings

Sellers interview agents to find out what their house is worth and whether now is the time. An agent whose website already answers both — with current, area-specific, month-browsable figures — walks into the listing appointment as the analyst rather than the salesperson. The gate compounds the effect: a homeowner who registers to unlock your sold trend chart has identified themselves as a likely seller and become a CRM contact in the same motion. That is the report doing prospecting work no PDF ever did.

There is a defensive angle too. Buyers and sellers now arrive at appointments holding numbers from portals and news headlines, and the agent without current figures ends up reacting to someone else’s framing. A site that carries its own computed reports lets you set the frame instead — with numbers you can trace to the feed they came from.

The feature-level mechanics — the three surfaces reports render on, how the embeds work in the editor — live on the market reports reference page. The decision-level summary is simpler: market reporting is a monthly tax when done by hand and a standing asset when computed. Agents rarely go back once the numbers update themselves.