Trend Reports in Minutes, Not Hours
Here's a scenario that plays out in every estate agency, every month. Someone says: "We should send out a market update to our database." Everyone agrees. Then nobody does it — because pulling the data, writing the commentary, and formatting it into something presentable takes half a day nobody has.
Today that changes. You're going to build an automated pipeline: API data in, AI analysis, formatted report out. Monthly market reports that used to take 4-6 hours now take under 15 minutes.
This is the lesson that makes you the most informed agent in your area.
Why monthly trend reports matter
Agents who send regular market updates to their database consistently win more instructions. Here's why:
Top-of-mind awareness. When a homeowner decides to sell, they don't Google "estate agents near me" — they think of the agent who's been in their inbox every month with useful, relevant information.
Perceived expertise. A monthly report that shows average prices, days on market, supply levels, and a brief commentary positions you as the local market expert. That perception directly converts to instructions.
Conversation starters. "Did you see my report last month? Prices in your road are up 4% since January" is a much better door-knock opening than "Are you thinking of selling?"
The data advantage. Most agents share generic national statistics. You're going to share hyperlocal, street-level data that's directly relevant to the homeowner reading it.
The automated pipeline
Here's the three-step system you're building today:
Step 1: Pull the data. Using the property APIs from Day 5, gather the last 30 days of activity for your target area. You want: number of new listings, number of sales agreed, average asking price, average sold price, average days on market, sold-to-asking ratio, and current stock levels.
Step 2: Feed into AI. Use a prompt template that tells AI exactly what report to produce. The key is consistency — same format every month so recipients know what to expect and can compare month-over-month.
Step 3: Format and send. The AI output becomes your newsletter, your LinkedIn post, your seller presentation opener, and your letterbox drop — all from the same data.
The master prompt template
Here's the prompt that generates your monthly report. Save this and reuse it every month — just update the data:
"You are a local real estate market analyst. Using the following data for [area/postcode] for [month/year], write a monthly market report. Data: [paste API data — new listings, sales, average prices, DOM, stock levels]. Compare to the previous month where provided: [paste previous month data if available]. The report should include: 1) A headline summary (one sentence capturing the key trend), 2) Price trends — average asking and sold prices, month-on-month change, 3) Market speed — average days on market, trend direction, 4) Supply and demand — new listings vs sales agreed, current stock level, 5) Sold-to-asking ratio — what properties are actually achieving, 6) A brief outlook paragraph (2-3 sentences on what to expect next month). Keep the tone professional but accessible. Avoid jargon. Use specific numbers. Total length: 250-350 words."
One report, five outputs
Here's the multiplier effect. That single AI-generated report becomes:
1. Email newsletter — Send to your database as a monthly update. "Your January market report for [area] is here."
2. LinkedIn post — Extract the headline and 2-3 key stats. "SW16 starts 2026 strong — prices up 1.5%, properties selling in 34 days vs 38 in December. Here's what it means for buyers and sellers..."
3. Seller presentation opener — Print the latest report and bring it to every valuation. "Before we discuss your property, let me show you what's happening in your market right now."
4. Buyer update — Adapt the tone for buyers. "Good news — more properties are coming to market, giving you more choice. But they're selling fast, so being prepared is key."
5. Letterbox drop — Condense to a single page for your farming area. Local data delivered to doorsteps is more powerful than any generic flyer.
Automating the whole thing
Once you've got the pipeline working, the monthly process looks like this:
First of each month (15 minutes total):
1. Pull last month's data from your property API — 2 minutes
2. Paste into your saved prompt template — 1 minute
3. Review AI output, add any local colour — 5 minutes
4. Copy into your email tool and schedule — 5 minutes
5. Adapt headline for LinkedIn post — 2 minutes
That's it. A professional, data-driven monthly market report in the time it takes most agents to decide they'll "do it later."
The agents who commit to this monthly become the go-to experts in their area within 6 months. The data compounds. The reputation compounds. The instructions follow.