Summary
Highlights
The speaker introduces an AI automation that transformed a 15-minute client interaction into $110,000 in monthly recurring revenue, highlighting its ability to prevent client loss due to poor follow-up within the first 30 days. The system responds to clients within minutes of payment, increasing client retention by 85% by making them feel valued, and aims to show viewers how to build this system, including a two-email sequence, payment-triggered setup, and the psychology behind quick responses.
The automation, which requires Make.com, an email address, and a payment processor like Stripe, focuses on making clients feel seen and recognized. Timely responses build trust, encouraging clients to continue working with the business and commit to monthly retainers. This onboarding automation aims to immediately establish trustworthiness and professionalism in the client's mind.
The automation begins with a payment in Stripe (or any payment processor), which captures client details like full name and email. These details are then extracted and used for personalized communication. A crucial step involves a 4-minute delay before sending the first email, making the response seem human and thoughtful rather than instant and robotic, leading into the first thank you email.
The tutorial transitions to a live build, starting with the payment processor. For Stripe users, a webhook is set up to watch for 'invoice payment succeeded' events. For testing or other platforms, the process involves manually setting "client full name" and "client email" variables within Make.com. The speaker demonstrates how to set these variables directly from Make.com to simulate the data coming from a payment processor.
The next step focuses on setting the client's first name and email using the extracted data. A 'get split' code is used to extract the first name from the full name (e.g., 'Chris Smith' becomes 'Chris'). The speaker guides through adding this code in Make.com's text functions. Following this, a 'sleep' module is added with a 240-second (4-minute) delay to ensure the initial email doesn't appear instantaneous.
A router module is introduced to manage the flow, leading to the first 'thank you' email. The speaker recommends using Make.com's 'send an email' module over the built-in Gmail module. The email content is HTML-formatted for better presentation, using line breaks and dynamic insertion of the client's first name. The email expresses gratitude, sets expectations for future contact, and promises onboarding instructions and a calendar link, reinforcing professionalism.
After a 3-minute 'sleep' delay, the second email is sent. This email provides next steps, emphasizing the need for an onboarding call to handle logistical complexities like platform access and two-factor authentication. It includes a Calendly link for booking, setting a semi-urgent but flexible timeline for the call. Once the automation is fully set up, it's activated by flipping a switch, ensuring that payment triggers the entire sequence automatically, without manual intervention.