Janie Lee
VP of Product, Abridge · 1 appearance on the record.
computed by AI from the episodes · how this works → · full disclaimer →
operatorexecutiveLinkedIn ↗
Janie Lee is a product executive leading product strategy at healthcare AI platform Abridge. She previously served as Head of Product at Loom and led product initiatives at Rippling and Opendoor.
2 insights · 2 disclosures · every statement was checked. none of them is a claim the record can settle: opinions, insights and disclosures never carry an assessment.
Everything Janie Lee said on the Official SaaStr Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →
Lee: Enterprise companies lack the funnel volume for precise pricing experiments
“It's really, really hard to have enough volume so far down the purchase funnel to actually run an experiment that gives you really precise results. And even if you do, it'll take you a really long time to get enough data on things like churn that actually will…”
Loom reserves pricing experiments exclusively for its highest-risk, highest-impact changes
“We rarely are running experiments like on a quarterly basis on pricing. These are really reserved for our highest impact, biggest risk changes.”
Loom appeases angry customers with the most generous version of pricing experiments
“Being on the receiving end of pricing and packaging experiments can be really frustrating if you find out. And so we've had a philosophy of, hey, if someone finds out or if someone is really unhappy, how do we just give them the most generous version of our po…”
Lee: Changing core package pricing is riskier than launching new products
“When you're rolling out a completely new product, worst cases, no one buys it, which is obviously really bad, but you're not actually detracting from your bottom line. Whereas if you're changing an existing package that You already have the majority of your cu…”
Appearances (1)
| Episode | Date | Speaking time |
|---|---|---|
| How to Leverage Pricing and Packaging to Drive Revenue with Miro, Loom, OpenAI, and Splunk | Dec 3, 2024 | 7m |