
Sign up to save your podcasts
Or
In today's episode, we're taking you on a journey to create the RevOps tech stack.
From spreadsheets, CRM, to data warehouse, Chris shares many best practices and which pitfalls to avoid.
What you’ll learn in this episode:
Which tools make sense for your RevOps tech stack - and which don’t
If it is recommended to use a marketing tool including CRM
How you grow your company with the best possible tech stack
You can find more information about Chris here:
https://www.linkedin.com/in/chris-mac/
RevOps Letter: https://www.getweflow.com/revopsletter Janis on LinkedIn: https://www.linkedin.com/in/philippstelzer/ Philipp on LinkedIn: https://www.linkedin.com/in/janiszech/ Weflow: https://www.getweflow.com/
Marker:
(00:00:00) Introduction/How would you start the tooling-evolution of the Go To Market Team?
(00:10:08) Do you think it makes sense to use a marketing tool including CRM?
(00:13:35) Which tools would you add while growing the company?
(00:23:30) How do you cover the part analysis?
(00:36:53) What about the Data Warehouse?
In today's episode, we're taking you on a journey to create the RevOps tech stack.
From spreadsheets, CRM, to data warehouse, Chris shares many best practices and which pitfalls to avoid.
What you’ll learn in this episode:
Which tools make sense for your RevOps tech stack - and which don’t
If it is recommended to use a marketing tool including CRM
How you grow your company with the best possible tech stack
You can find more information about Chris here:
https://www.linkedin.com/in/chris-mac/
RevOps Letter: https://www.getweflow.com/revopsletter Janis on LinkedIn: https://www.linkedin.com/in/philippstelzer/ Philipp on LinkedIn: https://www.linkedin.com/in/janiszech/ Weflow: https://www.getweflow.com/
Marker:
(00:00:00) Introduction/How would you start the tooling-evolution of the Go To Market Team?
(00:10:08) Do you think it makes sense to use a marketing tool including CRM?
(00:13:35) Which tools would you add while growing the company?
(00:23:30) How do you cover the part analysis?
(00:36:53) What about the Data Warehouse?
1,357 Listeners
30,823 Listeners
1,032 Listeners
519 Listeners
621 Listeners
175 Listeners
111,785 Listeners
9,555 Listeners
9,188 Listeners
598 Listeners
9,155 Listeners
20,416 Listeners
462 Listeners
4 Listeners
0 Listeners