How to Price AI Workflows Without Losing Clients
Nate Herk | AI Automation via YouTube
-
43
-
- Write review
40% Off All Coursera Courses
PowerBI Data Analyst - Create visualizations and dashboards from scratch
Overview
Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Learn comprehensive strategies for pricing AI automation workflows effectively in this 21-minute tutorial that covers essential pricing psychology, calculation methods, and client presentation techniques. Explore different pricing models including project-based, hourly, and retainer structures while understanding the critical 10x return rule that ensures clients see substantial value from their investment. Master the art of pricing calculations that account for complexity, time investment, and client ROI potential, then discover proven methods for presenting prices to clients in ways that emphasize value over cost. Dive into recurring income strategies through retainer agreements and ongoing maintenance contracts that create sustainable revenue streams. Apply the comprehensive PRICE framework (a systematic approach to pricing decisions) that helps balance profitability with client acquisition, ensuring you neither undercharge nor price yourself out of potential opportunities. Gain insights into pricing psychology that helps maintain client relationships while maximizing revenue potential in the competitive AI automation marketplace.
Syllabus
00:00 Pricing Mindset
01:33 Pricing Models
05:32 Pricing Calculation
06:29 10x Return Rule
07:41 Pricing for Retainers
09:33 How to Present Your Price
13:37 Recurring Income
15:56 The PRICE Framework
20:05 Want to build your AI automation business?
Taught by
Nate Herk | AI Automation