AI Lead Generation Agent
Budget: $8 – $15 CAD
Project: AI-Powered Lead Discovery & Capture for Real Estate (Ocean Park / White Rock)
Overview
I’m a licensed realtor looking to automate early-stage lead discovery and capture. I want an AI-driven system that continuously monitors public signals across social and web platforms, scores intent, and automatically moves qualified prospects into my marketing funnel. The system should also integrate with Google Ads and Meta (Facebook/Instagram) Ads to retarget prospects and capture contact details compliantly.
Workflow I’m After
Listening & Monitoring
Scan public posts, comments, hashtags, and Google Trends data for signals such as “moving to,” “need a bigger house,” “downsizing in South Surrey,” etc.
Monitor public real estate websites (where data is legally accessible) for new listing or comment activity in my target markets.
Note: Only public, ToS-compliant sources (no private groups or closed searches).
Lead Parsing & Scoring
Extract available public data (e.g., username, geo, any publicly shared contact).
Enrich leads with social/web signals when legally allowed.
Score leads on buy/sell intent using:
• frequency of property-related keywords
• location match (White Rock / Ocean Park / South Surrey)
• engagement levels
Lead Capture via Ads
Use Google Ads (search campaigns) to target relevant keywords and drive clicks.
Retarget visitors via Meta Ads (FB/IG) with native lead forms to collect email + phone numbers (CASL-compliant with explicit consent).
Install Meta Pixel + GA4 for conversion tracking and retargeting.
Automation
Qualified leads flow directly into my CRM (Mailchimp is current, but open to HubSpot/Pipedrive if needed).
Trigger automated SMS (Twilio) and email drip campaigns upon capture.
Deduplicate so the same person isn’t counted multiple times across platforms.
Reporting
Daily summary email with new qualified leads (intent, score, contact info).
Dashboard (cloud-hosted) where I can filter by intent score, platform, and date.
Admin controls for keywords, geo-radius, and scoring weights (no coding needed).
Essential Capabilities
Real-time monitoring of:
• Facebook & Instagram (public pages, hashtags, mentions)
• Reddit & other public forums
• Google Trends + Google Ads search campaign integration
• Publicly accessible real-estate websites or IDX feeds
Automated parsing for keywords, geo, and buying/selling signals
Enrichment and deduplication of leads
Lead scoring engine with tunable weights
Pixel + GA4 setup for retargeting audiences
Meta/Google lead form capture (with consent checkbox)
Automated CRM sync + SMS/email workflows
Dashboard + daily digest
Deliverables
Fully deployed cloud solution (AWS, GCP, or comparable) with source code.
Pixel + GA4 installed and tested on landing pages.
1–2 demo ad campaigns (Google Search + Meta Lead Ads) running with working lead capture.
Integration guide or plug-and-play connector for Mailchimp (Zapier/Make/Relay acceptable).
Dashboard URL + admin credentials.
Quick-start doc or Loom walkthrough showing how to adjust keywords, scoring, and export leads.
Compliance guardrails (CASL email/text consent, opt-out for SMS, unsubscribe links).
Acceptance Criteria
7-day live test yields ≥5 genuine, unique leads captured via the funnel.
Each lead includes:
• intent score
• contact method (email/phone, with consent stored)
• source platform
Tech Stack Preferences
Backend: Python or Node.js
NLP: spaCy, Transformers, or equivalent for keyword/intent classification
Cloud: AWS, GCP, or Azure
APIs: Meta Graph API, Google Ads API, Google Trends, Twilio
Automation: Zapier/Make/Relay acceptable for parts
Dashboard: React/Vue or lightweight BI dashboard (e.g., Metabase)
Overview
I’m a licensed realtor looking to automate early-stage lead discovery and capture. I want an AI-driven system that continuously monitors public signals across social and web platforms, scores intent, and automatically moves qualified prospects into my marketing funnel. The system should also integrate with Google Ads and Meta (Facebook/Instagram) Ads to retarget prospects and capture contact details compliantly.
Workflow I’m After
Listening & Monitoring
Scan public posts, comments, hashtags, and Google Trends data for signals such as “moving to,” “need a bigger house,” “downsizing in South Surrey,” etc.
Monitor public real estate websites (where data is legally accessible) for new listing or comment activity in my target markets.
Note: Only public, ToS-compliant sources (no private groups or closed searches).
Lead Parsing & Scoring
Extract available public data (e.g., username, geo, any publicly shared contact).
Enrich leads with social/web signals when legally allowed.
Score leads on buy/sell intent using:
• frequency of property-related keywords
• location match (White Rock / Ocean Park / South Surrey)
• engagement levels
Lead Capture via Ads
Use Google Ads (search campaigns) to target relevant keywords and drive clicks.
Retarget visitors via Meta Ads (FB/IG) with native lead forms to collect email + phone numbers (CASL-compliant with explicit consent).
Install Meta Pixel + GA4 for conversion tracking and retargeting.
Automation
Qualified leads flow directly into my CRM (Mailchimp is current, but open to HubSpot/Pipedrive if needed).
Trigger automated SMS (Twilio) and email drip campaigns upon capture.
Deduplicate so the same person isn’t counted multiple times across platforms.
Reporting
Daily summary email with new qualified leads (intent, score, contact info).
Dashboard (cloud-hosted) where I can filter by intent score, platform, and date.
Admin controls for keywords, geo-radius, and scoring weights (no coding needed).
Essential Capabilities
Real-time monitoring of:
• Facebook & Instagram (public pages, hashtags, mentions)
• Reddit & other public forums
• Google Trends + Google Ads search campaign integration
• Publicly accessible real-estate websites or IDX feeds
Automated parsing for keywords, geo, and buying/selling signals
Enrichment and deduplication of leads
Lead scoring engine with tunable weights
Pixel + GA4 setup for retargeting audiences
Meta/Google lead form capture (with consent checkbox)
Automated CRM sync + SMS/email workflows
Dashboard + daily digest
Deliverables
Fully deployed cloud solution (AWS, GCP, or comparable) with source code.
Pixel + GA4 installed and tested on landing pages.
1–2 demo ad campaigns (Google Search + Meta Lead Ads) running with working lead capture.
Integration guide or plug-and-play connector for Mailchimp (Zapier/Make/Relay acceptable).
Dashboard URL + admin credentials.
Quick-start doc or Loom walkthrough showing how to adjust keywords, scoring, and export leads.
Compliance guardrails (CASL email/text consent, opt-out for SMS, unsubscribe links).
Acceptance Criteria
7-day live test yields ≥5 genuine, unique leads captured via the funnel.
Each lead includes:
• intent score
• contact method (email/phone, with consent stored)
• source platform
Tech Stack Preferences
Backend: Python or Node.js
NLP: spaCy, Transformers, or equivalent for keyword/intent classification
Cloud: AWS, GCP, or Azure
APIs: Meta Graph API, Google Ads API, Google Trends, Twilio
Automation: Zapier/Make/Relay acceptable for parts
Dashboard: React/Vue or lightweight BI dashboard (e.g., Metabase)