Lead Scoring & Follow-up Engine
Scored incoming website and Meta Ads leads in real time, auto-dispatched WhatsApp follow-ups, and surfaced hot leads to agents instantly.
Client snapshot
The challenge
Agents were drowning in leads from Meta and 99acres — 80% of them unqualified tyre-kickers, but impossible to tell which 20% were serious without a 10-minute qualification call.
By the time an agent got to a hot lead, the buyer had already talked to 3 other builders. Response time was the single biggest leak.
Meanwhile, follow-up for cold leads was non-existent — anyone not ready today was dropped and never re-engaged.
Our approach
- 01
Build the scoring model
Combined source data (ad creative, utm, form fields), behavioural signals (pages visited, time-on-site, revisits), and a short WhatsApp qualifier ("when are you looking to move?", "budget range?") into a 0-100 score.
- 02
Instant auto-reply
Every lead gets a branded WhatsApp message within 60 seconds of form submission — answers the top 5 questions, shares the brochure, and asks 3 qualifier questions.
- 03
Hot-lead handoff
Leads scoring 70+ get pinged to the agent on duty via WhatsApp with a full context card — they can call back knowing exactly what the buyer wants.
- 04
Cold-lead nurture
Low-score leads enter a 14-step WhatsApp + email sequence over 90 days — project updates, price movements, new photography. Re-scored as they engage.
What we built
- Real-time lead scoring model trained on past conversion data
- 60-second auto WhatsApp reply with brochure + qualifier questions
- Agent handoff flow with one-tap call + context card
- 14-step nurture sequence for non-hot leads with re-scoring
- Sales dashboard: lead volume, score distribution, conversion by source
- Ad spend feedback loop showing which creatives bring high-score leads
Results
- 2.8× more qualified leads reached the sales team (same ad spend)
- Average response time down to 4 minutes from ~3 hours
- Agent time spent on cold-calling dropped 60%
- Dead-lead reactivation: 7% of the 90-day nurture bucket converted
Tech stack
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Client identity kept confidential under NDA. Metrics reflect the actual project at the time of delivery — full decks available on request.