Loading summary...
5 min read (82% time saved)
Brett, the winner of a $5,000 hackathon, demonstrates his n8n-powered sales automation system that converts missed calls into booked appointments and enriches lead data through a series of automated, deterministic text message interactions, emphasizing speed-to-lead and robust, non-AI-driven conditional logic.
Summarize another video
Press ⌘K to quickly paste a new URL
The video introduces Brett, the winner of the September hackathon, who secured a $5,000 prize for his innovative sales automation system. Nate Herk, the host, highlights the system's ability to monetize leads and convert them into sales, emphasizing its practical approach to lead generation. Brett, a copywriter and marketer specializing in conversion rate optimization (CRO), explains his motivation, citing studies that 62% of phone calls are missed and the critical need for speed-to-lead in sales.
The live demo illustrates the user's journey through the sales automation system. It begins with a simulated missed call, which triggers a ringless voicemail. The user then receives an automated text message offering two appointment slots. After selecting a time, the system confirms the booking and initiates an enrichment process, asking if the user is looking to buy or sell and for their zip code. The system then provides a summary of the interaction and, as a value-add, sends an email with recently sold property comparisons in the specified area.
Brett provides a high-level overview of the n8n workflow, which is structured in phases: a ringless voicemail, an outbound text, and an inbound text processing phase with routers for various user responses. He explains that the system is intentionally linear and uses conditional logic, avoiding complex AI reasoning to ensure robustness, predictability, and efficiency. Nate emphasizes that this approach saves time and cost by minimizing latency.
This phase is triggered by Twilio Studio when a phone call comes in. A webhook pulls the date and time, and if the record is new, it creates an entry in a Google Sheet (acting as a CRM) with just the phone number. A switch checks if a ringless voicemail has been sent to this number before to avoid duplicates. If not sent, it formats the information and sends a ringless voicemail via drop.co, then records the time.
Triggered by Twilio Studio when the user presses '1' on the voicemail, this phase retrieves the lead's row from the Google Sheet. It sends a fixed welcome text and pulls the two most recent available appointments from Calendly (after filtering a larger set of available times). These appointments are then added to the lead's record in the Google Sheet, and a text message is sent to the user with these options.
This phase is activated by an incoming text message. It pulls the corresponding row from the Google Sheet based on the phone number. Switches then direct the flow based on the user's response (e.g., 'booked', 'one', 'other'). The system's linear design ensures that each interaction updates the lead's record, moving them predictably through the sales funnel without AI reasoning.
Upon an appointment booking, a webhook from Calendly fires, updating the user's information in the Google Sheet. This triggers the start of the enrichment process, which involves sending a confirmation text and then asking the first enrichment question (e.g., "Are you looking to buy or sell?"). Subsequent enrichment phases continue to ask conditional questions (e.g., for address/zip code, urgency), with each response updating the CRM.
After the final enrichment question, the system generates a summary of the interaction. It then performs an address validation (or uses the zip code if an address isn't found) and creates links to recently sold properties on Zillow and Redfin. These links are formatted into an email, which is sent to the user, followed by a text confirmation. A fallback text is also in place for any unexpected messages, directing users to a direct contact line.
Nate praises the system's robustness, noting its clear action steps and built-in guardrails for various scenarios, such as creating new records for unknown leads. Brett explains that he uses ChatGPT to help with code nodes, despite not being a coder. Both emphasize the deliberate choice to minimize AI reasoning in the workflow, making it deterministic, predictable, and efficient, which is crucial for client solutions.
Brett expresses gratitude for Nate's work and the hackathon opportunity. He introduces his company, Warehouse Bob, which specializes in improving average order value and customer lifetime value using n8n and text message marketing. They are looking to connect with agencies serving e-commerce and high-volume clients. Nate thanks Brett for sharing his insights and congratulates him again on his hackathon win.
"Imagine never missing a call again."
— Brett
"This system helps convert missed calls into booked appointments so you can stay focused in the important things in your day and let this fill your calendar without lifting a finger."
— Brett
"Studies show that 62% of phone calls are missed."
— Brett
"My mindset typically is how can we use the minimum amount of AI possible."
— Nate Herk
"Frankly, man, most of the work that I'm doing is just talking to chat GPT like a lunatic."
— Brett
Nick Saraev
4 min read
Income stream surfers
6 min read
IndyDevDan
5 min read
IndyDevDan
6 min read
IndyDevDan
6 min read
Behind The Diary
8 min read