Total Pipeline Value
$7,800,000
▲ active deals
New Leads This Month
4
▲ past 30 days
Customer Conversion Rate
13%
■ MQL to Customer
Average Deal Value
$975,000
▲ across all stages
Pipeline Value by Lifecycle Stage
This shows the total value of deals currently in each stage, highlighting where your biggest opportunities are.
Leads by Source
See which channels are bringing in the most new leads, helping you focus your marketing efforts.
What I'd do for you
✓
Structure your CRM for growth
Configure HubSpot's CRM to perfectly match your luxury real estate sales process.
✓
Clean up and organize contacts
Import existing contacts, deduplicate, and enrich records for a clean, reliable database.
✓
Define clear buyer journeys
Map and configure HubSpot lifecycle stages to align with your client's unique buyer journey.
✓
Create custom property fields
Develop specific fields in HubSpot to capture all essential luxury property details.
⚡ Plus, repetitive work I'd put on autopilot
Auto-assign new leads to sales
HubSpot Workflows · HubSpot API
Sync deal updates to a shared sheet
HubSpot API · Google Sheets API · n8n
Notify team on high-value opportunities
HubSpot Workflows · Slack API / Email
See how I'd build this on your live system — and the data behind it
How it works in production
How I'd set this up on your live system:
Source
HubSpot CRM
Your live contacts, deals, and custom properties.
→
Automation
HubSpot API · n8n
Connecting HubSpot to other tools and automating workflows.
→
Output
HubSpot Dashboards · Google Sheets · Slack/Email
Real-time insights and timely notifications for your team.
Recent Lead Activity
| Contact ID | First Name | Last Name | Property Interest | Lifecycle Stage | Deal Value | Last Activity Date |
|---|---|---|---|---|---|---|
| 115 | Olivia | Hall | Unit 4D | Lead | $950,000 | 2023-11-07 |
| 109 | Ivy | Moore | Unit 3C | Lead | $700,000 | 2023-11-06 |
| 104 | Diana | Prince | Unit 3C | Lead | $700,000 | 2023-11-05 |
| 111 | Karen | Green | Penthouse 1A | Opportunity | $1,200,000 | 2023-11-03 |
| 105 | Eve | Adams | Penthouse 1A | Opportunity | $1,200,000 | 2023-11-02 |
| 103 | Charlie | Brown | Penthouse 1A | Opportunity | $1,200,000 | 2023-11-01 |
Raw source data
dataset.csv — showing 12 of 15 rows. Everything above is computed from this file, untouched.
| Contact ID | First Name | Last Name | Phone | Property Interest | Lead Source | Lifecycle Stage | Deal Value | Last Activity Date | |
|---|---|---|---|---|---|---|---|---|---|
| 101 | Alice | Smith | alice@example.com | 555-1001 | Penthouse 1A | Website | SQL | 1200000 | 2023-10-25 |
| 102 | Bob | Johnson | bob@example.com | 555-1002 | Unit 2B | Referral | MQL | 850000 | 2023-10-20 |
| 103 | Charlie | Brown | charlie@example.com | 555-1003 | Penthouse 1A | Website | Opportunity | 1200000 | 2023-11-01 |
| 104 | Diana | Prince | diana@example.com | 555-1004 | Unit 3C | Paid Ad | Lead | 700000 | 2023-11-05 |
| 105 | Eve | Adams | eve@example.com | 555-1005 | Penthouse 1A | Website | Opportunity | 1200000 | 2023-11-02 |
| 106 | Frank | White | frank@example.com | 555-1006 | Unit 4D | Referral | SQL | 950000 | 2023-10-28 |
| 107 | Grace | Kelly | grace@example.com | 555-1007 | Unit 2B | Website | MQL | 850000 | 2023-10-22 |
| 108 | Henry | Jones | henry@example.com | 555-1008 | Penthouse 1A | Paid Ad | Customer | 1200000 | 2023-09-15 |
| 109 | Ivy | Moore | ivy@example.com | 555-1009 | Unit 3C | Website | Lead | 700000 | 2023-11-06 |
| 110 | Jack | Black | jack@example.com | 555-1010 | Unit 4D | Referral | SQL | 950000 | 2023-10-29 |
| 111 | Karen | Green | karen@example.com | 555-1011 | Penthouse 1A | Website | Opportunity | 1200000 | 2023-11-03 |
| 112 | Liam | Neeson | liam@example.com | 555-1012 | Unit 2B | Paid Ad | Customer | 850000 | 2023-09-20 |
Ready to optimize your HubSpot for luxury real estate?
I can implement these solutions directly within your live HubSpot portal in weeks.
bing@bkydataconsulting.com