Twenty years of work sits in your phone. Most of it dormant. This is a one-off, two-week project. I take your WhatsApp, enrich every contact with public Dubai property and life-event data, score against fifteen real-estate segments, and hand you a list of fifty contacts worth calling this month — each one with full context and a drafted opener in their language.
Past buyers cycle every 5–7 years. Tenants renew every 12 months. Off-plan investors transact every 2–3 years. Landlords rotate portfolios. Brokers and conveyancers refer both ways. Enquiry-only contacts wait for a life event.
The book you've built is fifteen different relationships behaving fifteen different ways. The job is to know which clock each contact is on, then prompt you at the right time with the right context, in the right language.
Right now that intelligence lives in your head. The proposal is to externalise it, enrich it, and surface it back to you one prompt at a time.
Below is the working segmentation model. Every contact gets tagged into one (or sometimes two) buckets. The system rates each bucket by typical revenue, cycle length, and re-engage trigger.
Segments 1–8 are direct revenue. Segments 9–14 are the referral engine. Segment 15 gets archived. The scoring model weights all three differently. Full segment-by-segment breakdown →
Your stack already holds most of the picture. WhatsApp threads, Gmail history, Calendar cadence, Goyzer notes. The pilot adds three free public layers on top. No new SaaS bills. No data subscriptions.
Public ownership records and transaction history. Who currently owns what, what they paid, when. Open data from Dubai Land Department.
Public LinkedIn profile (role, employer), Google for press mentions, public Instagram. Light-touch life-event detection.
Language detection, life-event extraction (kids, jobs, moves, lease talk), tone analysis, deal-signal classification across every WhatsApp thread.
Lease PDFs, contracts, family references, school enquiries. The richest behind-the-scenes context, already in your inbox.
Meeting frequency, last face-to-face, dinner intros. Relationship temperature, not just dormancy.
Everything you've already captured. Goyzer stays source of record. We write back to it, never around it.
AI runs over the joined dataset to classify each contact for language preference (Greek / French / Italian / English), life stage, life events, and relationship temperature. Every signal feeds the score.
Paid sources (Property Monitor, LinkedIn Sales Navigator, Truecaller, Reidin) are deliberately excluded from the pilot. If a specific one earns its keep after the 60-day run, we add it then. Not before.
Illustrative composite (not a real contact). This is what the system produces from your data after the build.
In the deliverable, Sarah's page also includes a copy-paste-ready WhatsApp opener:
Every one of the 50 in the final list is delivered in this format. You read, decide, send from your phone, mark sent. Under 90 seconds per contact to review and act.
The output is a single document — your top fifty contacts to call this month, ranked by expected revenue, ordered by ease of re-engage. Each contact gets its own page with the full brief above.
Segment, history with you, DLD ownership record, comps on their street, life signals from public sources, last spoke, who went silent, expected commission, probability score, drafted opener in their language. Roughly what you saw in the Sarah H. example above.
Delivered as a single PDF you can keep on your phone, plus a CSV for Goyzer import. The drafted openers come as separate WhatsApp-ready text snippets you can copy-paste straight from the file.
Every contact's enrichment data gets written back to Goyzer as a structured note. Goyzer stays your CRM of record. This is a one-time data injection, not an ongoing sync.
One hour at the end. We walk the top ten together, you tell me which to start with this week, I help you tune the openers if needed.
The thing only you know is who-is-who. The system can read your WhatsApp, your Gmail, your Calendar, the DLD. It cannot read the twenty years inside your head. The pilot is designed so that uploading what's in your head costs you one hour total, not weeks of data entry.
I cluster the 2,000 contacts into ~40 likely-similar groups before you see anything. Each group has a name-pattern, a chat-content signature, a phone-prefix tell. You see one card per group:
Forty groups. Each takes 10–60 seconds. Whole 2,000-contact book classified in under an hour. No spreadsheet. No CRM data entry. No typing names.
Bulk-confirm handles the segment tagging. For the top 50 contacts the model surfaces, you optionally voice-note 30 seconds of extra context per contact before I draft the openers.
"She's the daughter of George Andreou, family's based in Athens, looking at Palm for the school proximity." That voice note transcribes, extracts the entities, attaches them to her record, and gets folded into her opener. You do this only on the ones where you want to. Skip is fine — the model still produces a usable draft from the public signals.
No spreadsheets to fill. No CRM screens to click. No tagging UI to learn. Your existing WhatsApp, your existing Gmail, your existing Goyzer. The pilot adapts to your day, not the other way around.
Yardstick: three deals booked from this list inside sixty days that wouldn't have closed otherwise.
One fee. One deliverable. The fifty-contact list on day 11, the optional 30-minute follow-up at week 8 to track what closed. Nothing ongoing. If the list earns its keep, we talk about a second round in three months.
Nothing here asks you to leave Goyzer, change CRM, or buy new SaaS. No new monthly bills.
Each one stands alone. Read whichever earns the time before the call.
What one of the fifty looks like in the deliverable. End-to-end on one composite contact.
Cycle, trigger, expected commission, opener angle. The lever each segment responds to.
The exact iMazing path. One hour, mostly idle. Pre-solved from my own run.
Where your data lives. What gets pulled. UAE Data Law posture. Project-end deletion.
Time, cost, workflow impact, language coverage, why now. Direct answers.
Or jump to the library index →
I'll have one of those five contacts modelled end-to-end before the call ends. Proves the system live, on your real data.
WhatsApp is fastest — I see those before email.
Two weeks. One deliverable. Fifty contacts in your phone you can act on this month. No new subscriptions. No CRM to learn. Goyzer untouched. Your retainer untouched. One fixed fee. Done in eleven days.
Read it. Push back. Pick.