Optimize your review and approval process
Get analytics on your company’s review and approval process, so you can make optimizations and boost productivity.
- ✓ 14-day free trial
- ✓ No credit card needed
- ✓ GDPR compliant

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Track your team’s productivity
Get a high-level view of your review and approval efficiency over the last 30 days, including:
- Projects created
- File versions shared
- Reviews started
- Approvals and change requests submitted
- Average comments per review
Shave days off your review and approval process
Our research shows that, on average, it takes eight days and three versions to get a piece of content approved. With Insights, you can track where time is being wasted to make your feedback process more efficient across your whole organization.

- Proven results with Filestage
Real results from marketing, creative, and production teams
"Instead of writing detailed instructions over email, reviewers can just click on a file to add comments in context. This makes everything faster – from giving feedback, to managing the process, to making edits before sharing the next version."

"Filestage helps us reduce long email threads and revision loops by working more interactively and collaboratively."

"There have been quite a few instances where we were able to go back to something someone said in Filestage and make a correction that perhaps was missed, so the tool has proven to be very useful."

"It is now much easier for us to process the collected feedback since we can access all the information in a single place."

"Filestage gives our suppliers and agencies a centralized platform to submit creative assets for feedback and approval. This helps us deliver content at speed and scale."

Teams spend less time chasing approvals and more time creating with Filestage’s automated online proofing software.
Faster approval cycles across creative projects
0 %
Emails eliminated per review cycle
0 +
Fewer compliance and version mistakes
0 %
Saved on content approvals every week
0 + hrs
*Based on customer usage data and internal analysis.






