Sales Efficiency with B2B Data: How to fix your outbound prospecting program.

Edan Krolewicz
May 18, 2023

Sales efficiency math (i.e. why your outbound program is broken):

Per 100 contacts exported from legacy B2B Databases (ZoomInfo, Apollo.io, Seamless.AI):

1. % of prospects that no longer work at that company (20-30%)

2. % of prospects that have changed job titles (10-20%)

3. % of prospects with invalid emails for (40-60%)

Best case scenario of *valid reachable* contacts = 30

Per 100 contacts exported with ExactBuyer:

1. % of prospects that no longer work at that company (1-3%)

2. % of prospects that have changed job titles (1-3%)

3. % of prospects with invalid emails for (1-2%)

Best case scenario of *valid reachable* contacts = 97

Want to improve your sales efficiency by at least 3x while doing less than half the work? Let's chat!

Unlock the power of real-time data.

Sales Efficiency with B2B Data: How to fix your outbound prospecting program.

Sales efficiency math (i.e. why your outbound program is broken):

Per 100 contacts exported from legacy B2B Databases (ZoomInfo, Apollo.io, Seamless.AI):

1. % of prospects that no longer work at that company (20-30%)

2. % of prospects that have changed job titles (10-20%)

3. % of prospects with invalid emails for (40-60%)

Best case scenario of *valid reachable* contacts = 30

Per 100 contacts exported with ExactBuyer:

1. % of prospects that no longer work at that company (1-3%)

2. % of prospects that have changed job titles (1-3%)

3. % of prospects with invalid emails for (1-2%)

Best case scenario of *valid reachable* contacts = 97

Want to improve your sales efficiency by at least 3x while doing less than half the work? Let's chat!

Share this post: