Patrick Campbell (ProfitWell) Joins for a Growth Model Breakdown of Loom, Plus Patrick Campbell’s Pricing Corner

Paglalarawan

This week, Unsolicited Feedback is thrilled to welcome Patrick Campbell. Patrick was founder and CEO of ProfitWell, an analytics tool for subscription companies, which was sold to payments company Paddle about a year ago for $200 million. This week’s episode features: 1️⃣ Patrick Campbell’s Pricing Corner as he dishes out hot-takes on Unity’s pricing faux pa, AI’s monetization challenges, and the state of the macroeconomy (starts at 12:22) 2️⃣ A Deep Dive into Loom’s growth models in light of their acquisition by Atlassian. Plus, is the acquisition a win-win? (starts at 30:49) The Growth Loops that led to Loom’s Acquisition Loom Growth Loops: Loom utilized several growth loops that contributed to their remarkable growth. One of the main loops was their viral acquisition engine, which was driven by their free account offering. It was a User Generated, User Distributed Loop consisting of the following steps: Entry: The user creates a Loom video. Trigger: The user shares that Loom video with a colleague or client. Action: The colleague or client views or comments on that video. Back to Entry: Some subset of those colleagues or clients will begin using Loom. Environmental & Manufactured Loops Power Loom’s Retention Environmental loops are mechanisms that utilize the user's environment or external factors to strengthen and maintain engagement with a product or service. These loops rely on the context in which the product is used and create a seamless experience that encourages users to continue their interactions. Specifically, Loom is available in all the places where you might need to record: in your applications, on your desktop, and in your browser. It is constantly accessible, just one click away. Loom also offers a strong manufactured loop to combat camera anxiety: Trigger: The loop starts when a user creates a Loom Video and shares it with a colleague or client. Action: The colleague or client is then prompted to take an action, such as playing or commenting on the video. Reward: Every time