How to Start a SaaS Business by White Labeling Software

TL;DR

White labeling an existing software platform lets you sell a branded SaaS to a specific profession without writing any code. The winning move is niche positioning: a CRM sold only to insurance agents beats a general CRM for that buyer. Free tools like Meta Ads Library, Wayback Machine, and Similar Web let you reverse engineer the offers, funnels, and traffic of companies already doing it.

Transcript

guys I'm no conspiracy theorist but I just found  67 businesses making between 50,000 and 500,000 per month and they're all white labeling the  same $300 software but here's what's freaking insane i just spent the last 3 hours reverse  engineering all their marketing channels their funnels their ad copy i used some AI agents i  used some common sen... Read More

Key Insights

• White labeling means taking an existing software platform, putting your own brand on it, and reselling it as your own product. The businesses profiled did not write code themselves, so the technical barrier that usually blocks a software business is removed entirely.
• Niche positioning is the core lever in this model. An insurance agent is more likely to buy a CRM built specifically for insurance agents than a general CRM sold to every industry, even though the underlying software is identical.
• The same template swaps cleanly across professions. Replace insurance agent with real estate agent, lawyer, veterinarian, dentist, orthodontist, or podiatrist, and you have a new positioning for the same white labeled platform.
• Meta Ads Library shows every ad currently running and is searchable by company, industry, and geography. In the UK, disclosure laws also expose ad spend figures that are not visible for ads running in the US.
• Ad longevity is the strongest signal of what works. Advertisers kill underperforming ads within days, so filtering the library to ads that have run for months isolates proven creatives worth copying with as little change as possible.
• Multiple long-running ads from one advertiser indicate scale, not just a single lucky creative. That pattern suggests the ad strategy is working well enough to justify continued spend across many variations.
• Wayback Machine reveals how a company's landing page, headline, and pricing changed from launch to today. One profiled CRM simplified a long cluttered headline, raised its price, and kept its free trial unchanged, which marks the trial as a permanent part of the offer.
• Similar Web estimates traffic volume and its sources. A high share of direct traffic signals the highest intent visitors, since they arrived on purpose rather than stumbling in, while a small paid share suggests growth is not dependent on ad spend.
• The offer is what determines scale, not the software or the website design. The stated goal is an offer people feel stupid saying no to, which is why reverse engineering should focus on pricing and promise rather than visual design.
• Cold outreach can be systematized with scraping tools. Outscraper can pull a list of every gym in the country, giving a target list to call and interview about their pain points before building the pitch.

Questions & Answers

Q: What is white labeling software and how does it work as a business model?

White labeling means licensing an existing software platform, rebranding it as your own product, and reselling it under your own name and design. The businesses profiled in the video use one platform's CRM and marketing tools, put their own branding on the interface, and charge their customers a monthly subscription. Because the underlying code already exists, the operator never writes software. The work shifts entirely to marketing, positioning, and sales, which the video describes as the harder part of the equation but also the part that anyone can learn without technical skills.

Q: Why does niching a CRM to one profession work better than selling to everyone?

It is a matter of positioning and framing. The video poses the question directly: if you are an insurance agent, are you more likely to buy a CRM built for everyone and their dog, or the CRM built only for insurance agents? The niche version signals that the product understands your specific workflow, even though the software underneath is identical to the general one. This is why the profiled companies target insurance agents, gym owners, medical clinics, and doctors' offices rather than a broad market, and why swapping in another profession creates a new business idea.

Q: How do you use Meta Ads Library to find winning ads to copy?

Search all ads by a broad keyword such as marketing, then apply the date filters, which is where the real value sits. Set the date range back several months so the results exclude ads launched today, yesterday, last week, or last month. Advertisers routinely kill ads within a couple of days when they underperform, so an ad still running after months is performing well. The video's advice is to copy everything about such an ad and change as little as possible. Also look for advertisers running many long-lived ads at once, which indicates scale.

Q: What can Wayback Machine tell you about a competitor's business?

It shows how long a company has been around and what their website looked like at launch, which lets you skip years of trial and error. The video checks an insurance CRM and finds the original headline was a long, cluttered sentence naming both insurance agents and financial planners, while today's version is much shorter and leads with AI. Pricing had roughly doubled since launch. The free trial appeared then and is still offered now, which signals it is a permanent piece of the offer rather than a temporary promotion.

Q: How does Similar Web help estimate a competitor's revenue?

Similar Web requires a free account and reports weekly traffic volume plus the breakdown of where visitors come from. The video walks through the arithmetic: take weekly visitors, convert to a monthly figure, apply a conservative free trial conversion rate to that traffic, then apply a trial-to-paid conversion rate, and multiply the resulting customer count by the monthly price. The result is an estimate of monthly recurring revenue. The video is explicit that this is an approximation, but says tools like Similar Web get you reasonably close.

Q: What does the traffic source breakdown reveal about a company?

Each source carries a different meaning. Direct traffic is described as the highest intent traffic because those visitors did not stumble onto the site, they went there on purpose, usually because they already know the brand. Organic traffic is encouraging because it is hard to earn. A very small paid share means the company is probably not running many paid ads, which is interesting because it suggests the growth is not bought. Geographic concentration also matters, since the profiled CRM draws the large majority of its traffic from the United States.

Q: How can AI tools be used to research competitors' pricing?

Point a chat AI at the source URL and ask it to scrape the company names, then ask it to find companies that reached significant revenue quickly. The video's first attempt crashed, so the prompt was rewritten in more detail, telling the AI to scrape the internet for articles, LinkedIn posts, and Reddit posts. When pricing was not published on a company's own website, a follow-up prompt instructing the AI to dig deeper into Reddit, X, and Facebook surfaced the monthly price. Screenshots of ads can also be fed to AI agent tools to identify which businesses run on a given platform.

Q: How do you find customers for a white labeled SaaS product?

Start with a scraping tool such as Outscraper to build a target list, for example every gym in the country if you are selling gym management software. Then run cold outreach, get prospects on the phone, and ask what their pain points are, which informs the offer. The video also notes that partnerships accelerate this dramatically: one of the profiled companies partnered with a franchisor and immediately gained access to a large block of paying customers in a single deal rather than acquiring them one at a time.

Summary & Key Takeaways

• An awards page for a software platform listed companies that qualified by running large numbers of sub accounts, meaning software as a service customers. Those customers pay monthly subscriptions that are far higher than a cheap browser extension, and every one of those businesses delivers the product using someone else's code rather than software they built themselves.

• AI chat tools were used to scrape the awards page, pull the company names, and hunt LinkedIn, Reddit, and article mentions for revenue signals and pricing that the companies do not publish on their own websites. A first attempt crashed, and a more detailed prompt telling the AI to dig across social platforms surfaced the pricing.

• The businesses found include a CRM aimed only at insurance agents and financial planners, gym management software, and platforms serving medical clinics and doctors' offices. All are the same underlying platform with different branding, and their advantage comes from framing the product for one profession instead of for everyone.

• The reverse engineering toolkit is entirely free. Meta Ads Library reveals which ads competitors have run for months, Wayback Machine shows how their landing pages and pricing evolved from launch, and Similar Web estimates traffic volume and the share that is direct, organic, or paid.