Zero to $40K/Month With One Marketing Channel (No Social Media)

Quick Overview

Indie hacker Miquel Palet achieved $40,634 MRR in less than a year for his social media API product, Late, by focusing exclusively on a high-intent Google Search SEO and paid ads strategy, intentionally avoiding saturated social media channels.

Key Points: Miquel Palet grew his social media API, Late, to over $40,000 MRR in just seven months by focusing on Google Search distribution. He avoided social media marketing channels because he viewed them as oversaturated and difficult to gain organic traction. His distribution strategy combined organic SEO (creating high-quality, deep-dive content targeting high-intent, low-competition keywords) and paid Google Ads. The paid ads strategy involved bidding on high-intent keywords, creating dedicated landing pages tailored to the keyword intent, and automating campaign management using Google Ads' automated bidding features to target a $120 CPA. The tech stack heavily relied on Claude for AI coding ($200/mo) and DataFafa for analytics ($30/mo), allowing rapid development and data-driven optimization. A key takeaway is that focusing on high-intent informational queries on Google, even for a B2B product, can yield predictable economics and rapid growth, as demonstrated by his 2.5x revenue per dollar spent on ads.

Context: The video features an interview between Pat Walls (host of Starter Story) and Miquel Palet, the founder of Late, a social media API that simplifies posting across 13 different platforms. Miquel shares the exact playbook he used to scale his bootstrapped B2B SaaS product to $40K MRR rapidly by strategically ignoring social media marketing in favor of a focused Google Search (SEO and Paid Ads) strategy.

Detailed Analysis

Miquel Palet details how he scaled his social media API, Late, to $40,634 MRR in seven months by focusing solely on Google Search distribution, avoiding social media channels due to saturation. His strategy involved two main components: organic SEO and paid Google Ads. For SEO (Week 1 & 2), he used tools like Semrush to find high-intent, low-competition keywords (e.g., 'social media API', 'scheduling API for Twitter') and created deep, valuable content like guides to answer those queries, ensuring the content was high quality over high quantity. For paid ads (Week 3-4), he bid on the same high-intent keywords, created dedicated landing pages tailored to the specific search intent (e.g., an Instagram integration page), and used Google Ads automated bidding to maintain a target CPA of $120. He tracked performance meticulously using DataFafa and optimized headlines, copy, and landing pages based on conversion data. The tech stack was lean, featuring Claude ($200/mo) for AI coding assistance to speed up development and DataFafa ($30/mo) for analytics. His paid search efforts yielded $15,000 MRR from ads alone, resulting in a 2.5x revenue per dollar spent. He strongly advises founders to pick one channel and master it before diversifying, emphasizing that methodical, data-driven SEO is reliable because it captures users actively looking to solve a problem.