A rate-watch robot monitors every past client's loan terms against current market rates. When a real saving appears, a personalized refinance alert goes out automatically, and interested replies book straight into an advisor's calendar — the pipeline grew 40 percent.
Typical results
24%
Alerts that book a meeting
100%
Book monitored weekly
2 days
Rate move to outreach
Figures reflect typical results for this kind of automation.
The challenge
Hundreds of past clients were sitting on mortgages written at higher rates, but nobody was watching. Advisors ran occasional manual sweeps through old files when business slowed, usually months after rates moved. Competitors and banks reached those clients first, and an obvious revenue stream — refinancing the firm's own book — leaked away quietly.
Before and after
Refi files in pipeline
+40%Days from rate move to outreach
−98%Advisor prospecting time
−83%The automation
We structured the firm's client book — loan amounts, rates, tracks, and dates — into a monitored database, and connected a weekly job that compares each loan to current market rates. When the projected saving crosses the firm's threshold, the client receives a personalized WhatsApp message quoting their own numbers. A reply triggers a scheduling link into the right advisor's calendar, and every alert and outcome logs to the CRM.
How it works
- 01
Book structured
Every past client's loan — amount, rate, track, and dates — lives in one monitored database.
- 02
Weekly rate sweep
A scheduled job compares each loan against current market rates and computes the projected saving.
- 03
Personalized alert
When the saving crosses the firm's threshold, the client gets a WhatsApp message quoting their own numbers.
- 04
Straight to calendar
An interested reply triggers a scheduling link into the right advisor's calendar — no gatekeeping.
- 05
Tracked in CRM
Every alert, reply, and meeting logs to the CRM so the pipeline is measurable end to end.
Starts from
- Client loan book
- Market rate feed
Delivers
- Personalized refi alert
- Advisor booking
- CRM pipeline log
The impact
The refinance pipeline typically grows around 40 percent within a few months, fed entirely by the firm's existing book. Roughly one in four alerted clients books a meeting, advisors walk in with the client's numbers already prepared, and the firm wins refinances it used to lose to the banks' own outreach.
Questions about this automation
How does the rate watch decide when to alert a client?
A weekly scheduled job compares each loan's rate, balance and remaining term with the current market rate feed and calculates the projected saving. Only when that saving crosses a threshold the firm sets, such as a monthly amount or a total over the loan's life, does the client get a WhatsApp alert quoting their own numbers.
What data does the firm need to get started?
The starting point is the existing client book: loan amounts, rates, tracks and key dates for each past client, usually exported from spreadsheets or the CRM. It is cleaned into one monitored database, connected to a market rate source, and linked to the advisors' calendars and the WhatsApp Business API.
What happens when a client replies to the alert?
An interested reply sends a scheduling link into the calendar of the advisor who owns that client, so the meeting is booked without back-and-forth. Every alert, reply and meeting is logged to the CRM. Clients who reply asking to stop can be opted out and are skipped in future sweeps.