The use case: how Madison Reed deploys Decagon
Madison Reed migrated its Madi chat assistant to Decagon so its in-house customer care team, the Color Crew, can build, test and update the AI agent's logic themselves. Madi handles web chat conversations for guests, including appointment booking, order and subscription issues, and color recommendations.
More reported results
Figures published in Decagon’s case study. They are not independently measured by usedby.
maintaining a 95% resolution rate
saving 25% more cancellation attempts
went live in production two weeks later
The Color Crew built seven new AOPs in just six weeks
In the customer’s words
We used to have to wait to make adjustments and investigate bugs. Now we can diagnose and update Madi in a few hours allowing us to continually tweak and improve the guest experience in real time.Decagon users in Beauty & Cosmetics
Companies in the same sector, with public evidence.
See all Decagon customersGo straight to the source
Based on Decagon’s published case study. We check the public evidence; the results are reported by the vendor.
decagon.ai- Source published
- Oct 28, 2026
- Last checked
- Oct 30, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 4xChecked
Printed word for word on the page, near the name of Madison Reed.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Madison Reed.
- The publication dateChecked
Read from the page’s own metadata, never guessed.
- Madison Reed uses DecagonChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
Madi has become a meaningful driver of revenue, lifting appointment conversion rates 4x and saving 25% more cancellation attempts. Customers who complete the Color Quiz through Madi are purchasing their recommended shades within a week

