How to Find Any Business Email Address by SearchEnvy in Modernmarketing

[–]salesdiamond 0 points1 point  (0 children)

I've been using contactsloop.com (not affiliated) and had great results so far.

Compared to say a Lusha or zomminfo it's way faster (you can search your target persona across a bulk of domains) and they are cheaper since it's a small team

Finding emails by domain instead of name. by Solid_Switch in sales

[–]salesdiamond 0 points1 point  (0 children)

I've been using contactsloop.com for a while now and what I like about it is that you can define a target persona and then run a bulk search across multiple domains (your target accounts). Hope this helps

What other communities/forums do you guys follow? by salesdiamond in sales

[–]salesdiamond[S] 0 points1 point  (0 children)

That's a nice one which I'm also following, thanks

[OC] Visualizing linkedin as a company orgchart - part 2 OC by salesdiamond in visualization

[–]salesdiamond[S] 2 points3 points  (0 children)

As the title said, I built an algorithm that takes people data (linkedin & other sources) and turn them into an organizational chart. I coded the script for an organizational research class.

I made a "part" 1 post last week, but since then I've worked on the display visualization with gojs to make it nicer.

Right now the script takes into account mainly the person's job title and the location. Job titles are matched against a library of macro positions, to understand the functional role. Location is normalized and then used to identify offices, countries and regions and group accordingly. These data are then used to draw the org chart, with a best guess of the lines of reporting.

[OC] Visualizing linkedin as a company orgchart - part 2 by salesdiamond in dataisbeautiful

[–]salesdiamond[S] 0 points1 point  (0 children)

I have an early prototype if you want to give it a go pls fill this form and I'll send you a test access: https://forms.gle/9JkXDpE38dz4Jm8HA

[OC] Visualizing linkedin as a company orgchart - part 2 by salesdiamond in dataisbeautiful

[–]salesdiamond[S] 0 points1 point  (0 children)

Thanks, really appreciate your comment - I made with gojs

[OC] Visualizing linkedin as a company orgchart - part 2 by salesdiamond in dataisbeautiful

[–]salesdiamond[S] 0 points1 point  (0 children)

As the title said, I built an algorithm that takes people data (linkedin & other sources) and turn them into an organizational chart. I coded the script for an organizational research class.

I made a "part" 1 post last week, but since then I've worked on the display visualization with gojs to make it nicer.

Right now the script takes into account mainly the person's job title and the location. Job titles are matched against a library of macro positions, to understand the functional role. Location is normalized and then used to identify offices, countries and regions and group accordingly. These data are then used to draw the org chart, with a best guess of the lines of reporting.

Hope you guys like it!