May 29, 2018 · 17m · top-founders
1039 The Argument For Utility Based SaaS Pricing, $.85 Per Booked Hour, 18.4 Million Booked Hours
gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
Nathan Latka interviews Percolata founder and CEO Greg Tanaka to discuss how the company's AI-powered workforce scheduling platform uses utility-based pricing ($0.85 per scheduled hour) across 18.4 million contracted hours to deliver a 10% to 30% sales lift for physical retailers.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Nathan holds 37.9% of the talking time here. How this is scored →
speaking balance: gold is Nathan, purple is the guest (3 minute bins)
When Nathan presses for exact store location figures, Greg directly pushes back on the question's premise, stating they do not evaluate their business by store count.
Hardest push from Nathan ▶ 9:10 Latka interrogates recognized revenue vs contract valueNathan refuses to accept the implicit $15.6M run-rate calculation without verifying whether Percolata actually exceeded $10M in collected revenue.
Biggest teaching moment ▶ 9:20 Tanaka breaks down enterprise delivery lag and pilot mechanicsGreg corrects Nathan's assumption of immediate revenue realization by explaining how enterprise pilot contracts require staged product deployment before billing fully kicks in.
Nathan holds their own ▶ 9:10 Latka's rapid mental math on contract valueNathan instantly calculates the implied annual run rate ($15.6M) from Greg's volume and unit pricing metrics to hold the guest accountable to actual revenue milestones.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Nathan as informed peer | Guest teaching | Guest disagreement | Nathan pushing back | Why |
|---|---|---|---|---|---|---|
| Introducing Greg Tanaka and Percolata | 5 | 4 | 1 | 2 | Nathan offers a concrete hypothetical retail scenario to test his understanding of the model, which Greg validates. Greg then educates Nathan on the shopper yield metric and clarifies that they optimize existing staff schedules rather than requiring new hires. | |
| Utility-Based Pricing Model and Integration Challenges | 5 | 3 | 1 | 2 | Nathan astutely points out the onboarding and sales cycle challenges inherent to utility-based pricing. Greg agrees and explains the technical enterprise integrations and the multi-year journey to finding product-market fit. | |
| Contracted Volume, Sales Lift, and Twin Store Testing | 6 | 4 | 2 | 5 | Nathan quickly runs the math on 18.4 million hours at $0.85 to arrive at a $15.6M run rate, pushing Greg on whether they actually recognized over $10M. Greg clarifies that contracted hours include undelivered pilots and explains their twin-store testing methodology. | |
| Sponsor Spotlight: ProsperWorks CRM | 2 | 4 | 3 | 2 | The segment begins with a sponsor monologue before Nathan pivots to ask for location counts. Greg rejects the framing of tracking raw location counts and reframes the metric around scheduled hours and enterprise logos. | |
| The Famous Five Fast-Paced Questionnaire | 2 | 1 | 0 | 1 | Nathan runs through the standard Famous Five questionnaire in a collaborative rhythm. Greg provides candid reflections on startup difficulties and overcoming engineer arrogance regarding CEO roles. |