Hey, Its Darren.
Welcome Home. I can’t believe we are at the tail end of summer and I hope that this season has treated you well.
In today’s issue:
How to create market reports people actually read and share
The $20/month tool that does 6 hours of research in 30 minutes
My exact prompt that generated 7 client responses last month
And more…
My Favorite Finds:
⚙️Best Device : PLAUD.AI This magnetic device lets you recordcalls and gives you an AI powered summary of your conversation, which you can use to personalize responses, create a smart user profile and drop into a crm.
💰Revenue:
👀ICYMI
Dan Koe on building a personal brand better than 99% of people ( youtube)
🗞️In the news
Christies International Real Estate launches Crypto Division to facilitate digital currency transaction for luxury real estate. (NY Times)
STEAL THIS PROMPT
This is the exact prompt I used that created a wow response from a prospect.
A homebuyer was looking to buy a home in LA and had a specific address in mind.
The client wanted to offer 800K less than the current list price, so I was curious why he believed an offer so low was warranted.
I offered to do a market analysis which led me to creating this new prompt that you should use.
As it turns out, the clients idea on price wasn’t too far off from what the researched show, but my version had a lot more data and real time insights. And instead of hours or days, this was done in a couple of minutes.
Copy and paste into your favorite deep research tool.
“Please create a concise (800–1000 words) real estate market overview focused on [Insert Property Address, Neighborhood, City, or Zip Code].
Include the following, with data from credible sources (e.g., MLS, Realtor.com, Zillow, government data, local school and hospital ratings):
Local market metrics – median sale price, list-to-sale price ratio, average days on market, inventory levels, and recent price trends.
Lifestyle & amenities analysis – quality and ratings of nearby schools, access to hospitals and healthcare, walkability score, transit options, and major commuting routes.
Comparative context – how this market compares to nearby areas or broader regional trends (price, speed of sales, inventory levels).
Purchase price recommendation – based on comparable sales, current market momentum, and buyer competition levels.
12-month appreciation forecast – grounded in local and regional market data, economic indicators, and housing supply/demand factors.
Action step – a call-to-action encouraging readers to connect for updated data, personalized analysis, or neighborhood comparisons
DEEP DIVE
Genspark.ai is a multifunctional AI workspace—a “Super Agent” suite—designed for everyday and professional productivity tasks. At $20/month, you can use it as a virtual assistant for marketing, research, analysis, ideation and creative projects. It functions as a complete workspace: think Slides, Docs, Chat, Image/Video Generator, Download Assistant, and Voice Agent—all within the same interface.
I’ve been building marketing materials, lead magnets, and presentation decks for team members, sales teams, and audiences.
The key advantage of this platform is structured output. Your prompts generate a production-ready, finished product that can be exported as a PDF or PPTX — or downloaded into Canva for quick refinements.
Recently, I built an investor deck for a colleague. I was able to leverage brand assets, use drag-and-drop functionality, and customize fonts, colors, and themes to perfectly match the brand tone. In this case, I started with one of their templates and tailored it for the specific purpose of the deck
I like using AI to draft slides in GenSpark, but I always do my final edits in Canva.
Why? Because Canva lets me lock in the design and make quick, precise tweaks. With AI tools, sometimes every new prompt rerenders the whole deck or even loses changes I liked.
In Canva, I know my work won’t shift unexpectedly — I can polish it once and save time instead of re-prompting over and over
Genspark ai power slides
Linkedin Marketing - Here is my latest post.
“How I turned 1 free opt-in into a buyer client in 108 days — without a single sales call 👇”
Step 1: Entry Point (Day 1)
On Feb 16, a first-time buyer downloaded my free resource: The First-Time Buyer Guide to Beating High Interest Rates.
👉 I captured full contact info: name, email, phone, LinkedIn.
👉 That triggered my system to start tracking engagement (email opens, clicks, profile views, DMs).
Step 2: Nurture (Days 2–90)
Over the next 3 months:
• They opted into 3 more guides (Down Payment Hacks, Credit Score Checklist, “Rent vs Buy” Calculator).
• They opened 15+ nurture emails.
• They re-visited my LinkedIn profile twice.
👉 All of this was tracked automatically by AI.
Step 3: Behavior Signals (Days 91–108)
They suddenly:
• Clicked through an email about today’s mortgage rates.
• Downloaded the “Rent vs Buy” calculator again.
• Liked a post I wrote about market timing.
👉 My system flagged them as high intent — not random, not spammy, just data-backed readiness.
Step 4: Tailored Outreach (Day 108)
Instead of cold-calling, I sent a simple message:
“Hey, I noticed you’ve been digging into resources on buying this year. Do you want me to run numbers on your monthly payment options?”
They booked a meeting. A week later, we structured their loan.
🔑 The takeaway: This isn’t about spamming or chasing.
It’s about tracking behavior over time so you know when to lean in.
If you’re a realtor or loan officer:
👉 What resource could you offer today (a guide, checklist, calculator) to start this process in your business?
🌄The Last Word:
Nothing about our past dictates our future in a very concrete way.
Til Next Time,
Darren