Cold Calling Lists for Real Estate Agents: 25 Years of Data Insights

Описание: Cold calling still works in real estate - but only if you are calling the right people with the right data.

In this webinar replay, Tim Slevin, CEO of The Share Group, shares lessons from more than 25 years in the data and information services industry. He breaks down how real estate agents should evaluate cold calling lists, test lead data the right way, improve connect rates, and avoid common mistakes when prospecting homeowners.

This session also covers one of the biggest issues affecting outbound calling today - why calls show up as Spam Likely and how STIR/SHAKEN caller authentication affects cold calling success.

Joining Tim is Chaz Tedesco from CallTools, who adds insight on dialer technology, call reputation, number registration, and the importance of measuring prospecting performance with real numbers.

If you are buying real estate seller leads, absentee owner lists, or likely-to-sell homeowner data, this webinar will help you make better decisions and build a stronger outbound prospecting system.

What you'll learn:
How to evaluate cold calling lists for real estate agents
The difference between public data and proprietary homeowner data
How to properly test lead lists before scaling
Why many agents misjudge lead quality too early
How STIR/SHAKEN and spam labeling affect connect rates
Why return on time matters more than cost per lead
How top agents track dials, conversations, leads, and listings
What questions you should ask any lead data provider

Speakers:
Tim Slevin - CEO, The Share Group
Chaz Tedesco - CallTools

Learn more:
https://www.theshare.group

Chapters:
00:00 Cold Calling Lists for Real Estate Agents - Introduction
02:18 Why real estate agents struggle to choose lead lists
02:50 How to evaluate lead vendors and data quality
05:03 Public data vs proprietary real estate lead data
06:25 How to test cold calling lists the right way
08:22 How to measure connect rates and lead quality
09:46 Why real estate prospecting data is a service
11:40 Should agents use one lead source or multiple?
12:21 How customized lead lists improve results
13:24 When to negotiate lead pricing and when not to
14:09 Why you should test customer service too
16:23 How long to work a cold calling list
17:46 Return on time vs cost per lead
19:29 List mindset vs database mindset
21:22 How often to refresh real estate lead data
22:54 STIR/SHAKEN explained for cold calling
24:16 Why calls show up as Spam Likely
25:25 How to improve phone number reputation
26:19 Best questions to ask a lead data provider
27:52 How accurate are homeowner phone numbers?
29:12 Where real estate lead data comes from
30:06 Why better data saves time and money
31:12 Questions to stop asking lead vendors
33:41 Extra features to ask for from a list provider
36:03 CallTools recap and final prospecting advice
39:07 Q&A on Angel AI, lenders, and next steps

Keywords:
cold calling lists for real estate agents
real estate seller leads
absentee owner leads
likely to sell homeowners
real estate prospecting data
STIR SHAKEN cold calling
why calls show spam likely
real estate dialer strategy
CallTools dialer
The Share Group

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