Select Page

The State of Quote-to-Cash: 6 must-read stats from the ebook

Jun 4, 2019 | Admin, Advisory Services, Australia, Implementation Services, Latest News, Salesforce Billing, Salesforce CPQ

Simplus’ State of Quote-to-Cash guide is a CRM industry staple. It’s an easy-to-digest compilation of our comprehensive survey findings which hit everything Quote-to-Cash (QTC): what QTC is, what it means to everyday organizations, and how QTC benefits them. Many business leaders still find themselves wondering what exactly QTC is and why it’s worth their time and investment. To answer that, well, we’ll let these six must-read stats from the ebook speak for themselves:

 

1. 3.95 out of 5 stars is the average satisfaction for QTC platform users, with 80% of the descriptive wording being positive.

2. Only 22% of QTC users utilize a full CRM/CPQ/ERP integration. That means there’s 78% of QTC users not leveraging the benefits of a complete QTC solution.

3. That 22 % taking advantage of a full QTC solution also reported an overall higher satisfaction than CRM-only users. Full QTC solution users average 4.46 out of 5 stars.

4. Between the three QTC integrations (CRM, CPQ, and ERP), CPQ carries the highest customer happiness: 3.973 out of 5. Luckily, Simplus is the leader in CPQ implementations, having successfully implemented more than anyone else.

5. The area QTC users want to see improvement most is in billing (24% of respondents).

6. 30% of QTC users have plans to implement additional solutions this year, including CPQ, ERP, or CRM.

 

And that’s just scratching the surface. To learn more about the state of Quote-to-Cash, download the complete guide here—exclusively from Simplus.

0 Comments

Submit a Comment

Authors

Simplus logo
Simplus team
 |  + posts
Your Quote-to-Cash Process Has 14 Handoffs. It Should Have Zero 

Your Quote-to-Cash Process Has 14 Handoffs. It Should Have Zero 

At Simplus, we’ve implemented Revenue Cloud Advanced across financial services organizations navigating exactly this transition. The pattern is consistent: unify the revenue data, get the platform right, and the AI use cases that felt out of reach become the next logical step. 

Stop Blaming Your Sales Team. Blame Your Tech Stack

Stop Blaming Your Sales Team. Blame Your Tech Stack

After working through dozens of enterprise Salesforce implementations across financial services, high tech, and energy, the reason is almost always the same: organizations are building AI strategies on top of broken revenue data.