Quandri

By Quandri

4.4 out of 5 stars

How would you rate your experience with Quandri?

Quandri Pricing Overview

Quandri Pricing Reviews

(2)
Cate C.
CC
College Intern
Mid-Market (51-1000 emp.)
"Excellent Client Emails and Seamless Applied Epic Integration"
What do you like best about Quandri?

This is an excellent way to stay in touch with our clients. The emails are well written, and our clients have been very responsive. We have tried many different products and the integration with Applied Epic has been the most seem less of anything we have used. Review collected by and hosted on G2.com.

What do you dislike about Quandri?

Can't say a negative about Quandri - excellent partnership! Review collected by and hosted on G2.com.

Verified User in Insurance
GI
Mid-Market (51-1000 emp.)
"Highly Customizable Communication, Needs Data Accuracy"
What do you like best about Quandri?

I like that the communication to the customer in Quandri is completely customizable for each client and retains the overall feel from the agency. It's great because I can personalize the generic emails in a way that aligns with how I naturally communicate with my customers, like including a personal note about their vacation or using their nickname. Also, the initial setup of Quandri was fairly easy, which I appreciated. Review collected by and hosted on G2.com.

What do you dislike about Quandri?

At the beginning of our Quandri journey we had a recommended coverage feature in our email communication to upsell things like water/sewer backup or roadside assistance when a customer did not have it present on their policy. However, a lot of times this coverage is included in a package endorsement and Quandri has not been able to accurately capture this data and update the email accordingly. We ended up excluding that part of our email for now. Review collected by and hosted on G2.com.

Response from Tessa Elliott of Quandri

We love that you're personalizing the emails with things like nicknames and vacation notes!

The package endorsement gap is a known limitation we're working to close, and this kind of specific feedback is exactly what shapes what we build.

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Quandri