Mastering CS: Candid Leader Insights

Mastering CS: Candid Leader Insights

Hosted by Irina Cismas · Custify | Customer Success

4.0from 1 ratings

Books guests

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94
Episodes
1
Ratings
Daily
Cadence
2024
First episode

About Mastering CS: Candid Leader Insights

Welcome to Mastering CS – Candid Leader Insights, where I, Irina Cismas, Head of Marketing at Custify, take you on a journey into the depths of Customer Success. Each episode, I sit down with some of the most influential minds in the CS world, from seasoned managers and renowned influencers to dynamic team leaders, to uncover the challenges and opportunities that shape our profession. Our conversations are rich with insights, drawing on personal experiences and innovative ideas to offer practical solutions. Join me as we make every interaction count in the dynamic world of Customer Success!

Publisher
Custify | Customer Success
Category
business
Language
en
Explicit
No
First episode
6 Feb 2024
Latest episode
1 Oct 2026

Latest episodes

94 episodes in the feed.

  1. 1 Oct 2026

    Ep 93 | Andrey Tirel

  2. 29 Sept 2026

    Ep 92 | Frances Dupree

  3. 24 Sept 2026

    Ep 91 | Eric Mistry

Who has been a guest on Mastering CS: Candid Leader Insights

Names identified in recent episode analyses. Showing up to five guests.

  • Bettina Berger
  • Christopher Warren-Gash
  • Craig Taylor
  • Philip Simon
  • Karina De Alba

Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

Spotify
4.0 / 5
1 ratings

Contact Mastering CS: Candid Leader Insights

Guest appearances
Books guests

Based on episode analysis; this does not confirm that the show is currently accepting guests.

Questions about Mastering CS: Candid Leader Insights

Who hosts Mastering CS: Candid Leader Insights?

Irina Cismas host the show. Published by Custify | Customer Success.

How often do new episodes come out?

The show publishes daily, based on its RSS feed.

Does Mastering CS: Candid Leader Insights take guests?

Yes. Guests have been identified in episode analyses.

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