Log viewing feedback once, then let an n8n and Claude applicant agent send personalised alerts on new instructions, price reductions, and fall-throughs
Luke Needham at Quantum Flow Automation documented Anchor Property's Applicant Engagement Agent in Nottingham. After a viewing that does not produce an offer, the negotiator logs structured feedback on a form (interested but not ready, price too high, property too small, preferred a different road). The n8n agent keeps a live preference profile for each applicant and triggers on three Jupix events: a new instruction, a price reduction, or a sale marked fallen through. Claude drafts personalised match alerts rather than generic new-listing blasts — the case study's example is an applicant who viewed 14 Maple Road in March and noted the garden was not large enough, then gets contacted when 22 Maple Road lists with a 90-foot south-facing rear garden. The source reports applicant re-engagement moved from 11% to 34% of viewers who did not offer. Alerts queue for send from the shared n8n instance that also runs Anchor's listing and sales-progression agents.
At a glance
- Tools used
- n8nClaudeJupixGmail
- Category
- Lead follow-up & inside sales
- Audience
- agent, broker, team lead
- Difficulty
- Builder
- Source
- Three AI Agents, One Estate Agency, 62% More Sales Progressed
Luke Needham (Quantum Flow Automation) · Case study · Jul 28, 2026 - First step
- Add a post-viewing feedback form with preference fields (price ceiling, beds, roads or areas, deal-breakers) and store each applicant's answers where your n8n workflow can query them on new-instruction and price-reduction events.
Compliance note: Only contact applicants who asked for updates or otherwise consented under your local marketing rules, keep a human review on first re-contact after a long gap, and do not promise availability or mortgage outcomes the CRM does not show.
Suggested prompt
Written by this directory, inspired by the source. Replace the [bracketed] parts.
You are my applicant re-engagement assistant for [agency / market]. Applicant preference profile: [paste feedback form: price notes, size notes, road or area notes, timeline]. Trigger event: [new instruction / price reduction / fall-through] for [address, beds, price, key features]. Write one personalised alert that names the specific preference they stated and the matching detail on this property (like the Maple Road garden example). Keep it to [email / SMS] length. Do not invent preferences or property facts. If nothing in the profile matches, say no alert and list why.
Get 50 AI Prompts for Real Estate Agents, free
Subscribe to the Daily 5 and download the 48-page PDF right away. The prompts help with:
- Getting more leads from the contacts already in your CRM
- Faster follow-up, so no text or inquiry goes unanswered
- Less time on listing descriptions, paperwork, and showing instructions
- Copy-paste prompts tested by working agents, brokers, and landlords
- Five new real-world AI use cases every weekday morning in the Daily 5
Confirm by email. Unsubscribe in one click. Review every AI draft for accuracy and fair housing compliance before you send it.