Price Optimization in SaaS with Nikhil Kotcharlakota

<p><strong>Nikhil Kotcharlakota</strong> is a civil engineer by profession. He worked for <a href= "https://www.electrolux.com">Electrolux</a> for eight years where he was head of pricing for almost two years. Currently, he is a co-founder of <a href= "https://www.linkedin.com/company/priceops/">PriceOps</a>, a company that aims to provide an all-in-one pricing solution for SaaS companies.</p> <p>In this episode, Nikhil talks about how his experience at <a href="https://www.electrolux.com">Electrolux</a> changed the way he looked at pricing. He also discusses about his company, <a href= "https://www.linkedin.com/company/priceops/">PriceOps</a>, and how they aim to provide a complete, optimized pricing solution to SaaS companies using different pricing models.</p> <p> </p> <p><strong>Why you have to check out today’s podcast:</strong></p> <ul> <li>Learn how usage data can be utilized to optimize billing and pricing</li> <li>Discover the possibility of SaaS companies effectively using outcome-based pricing models</li> <li>Learn the difference between per-user model and per active user model and when to use them</li> </ul> <p><strong> </strong></p> <p align="center"><strong>“Having the focus on price and getting value out of what you're offering is a very important thing.”</strong></p> <p align="center">– <em>Nikhil Kotcharlakota</em></p> <p> </p> <p><strong>Topics Covered:</strong></p> <p>01:30 – How Nikhil got into pricing</p> <p>03:01 – The work that Nikhil’s company, PriceOps does</p> <p>05:59 – How PriceOps plans to utilize usage data for billing and pricing</p> <p>07:05 – PriceOps’ biggest challenge: using outcome-based pricing model for SaaS companies</p> <p>11:19 – The other pricing models that PriceOps is eyeing besides usage-based and outcome-based</p> <p>12:24 – How PriceOps aims to recommend whether to use per-user model or per active user model</p> <p>15:12 – What Nikhil learned as he shifted from traditional pricing to subscription-based pricing</p> <p>18:38 – Why Nikhil loves pricing operations</p> <p