REPLICATION GUIDE · AI Businesses

SaaS marketing competitor analysis

Gleam is a Melbourne-based Australian marketing SaaS founded by Stuart McKeown and John Sherwood in 2013.

● Already earning  $80K/mo  ·  Copy it for about $75K

Replication snapshot

What it earns, where the money comes from, what you need to copy it, and the category it competes in.

Monthly revenue$80K/mo
Copy budget$75K
Growth channelsPress, Direct sales
Tools to copyShopify, MailChimp
CategoryAI Businesses

How to copy this business and make money

Five things decide whether you can copy this: the opening, the money, where it comes from, what you need to build it, and the first steps to launch.

QUICK LOOKFree summary — what it sells, and the total budget
Fund a limited operating contest SaaS, not all four apps. Target Shopify merchants and campaign agencies. Total copy budget: $75K.

Want to see how that $75K splits line by line, what each line buys, and when to stop? The full breakdown is below.

PROVEN · ALREADY MAKING MONEY

Thousands of people are already making money with this playbook

If you want to make money, read this part. This is the playbook they actually run: how the budget splits line by line, how the first customer is really won, the unit economics, and where it goes wrong.

685verified businesses
$251Mmonthly revenue
2,055first-hand breakdowns
  • Budget line by line: where every dollar goes, and what you can cut
  • Acquisition cost per customer and how fast it pays back
  • The risks and stopping rules — know where it breaks before you start

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Open-source stack you can start from

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Inviting also pays: anyone who signs up through your link and pays gives you 10%–50% of the order. How inviting pays →

What this business does

Gleam is a Melbourne-based Australian marketing SaaS founded by Stuart McKeown and John Sherwood in 2013. Competitions runs giveaways, Rewards delivers redeemable offers, Capture collects visitor emails, and Gallery displays user-generated content. Businesses host or embed campaigns, configure entry actions and prizes, connect commerce/email tools, then select winners and review results, consolidating fragmented promotion workflows. Its About page claims more than one million businesses; this is not a verified paying-customer count. Starter Story’s AI profile estimates $85K monthly revenue in 2017 from two sources, with currency unspecified; it is neither audited nor current. Official product and help pages remain active in October 2026. Current company revenue, profit and customer totals are unverified.

Replication breakdown

01

Why it works — and where your opening is

Brands and creators often assemble contests, referral rewards, email capture and user-generated-content displays across separate tools. That creates campaign setup work, fragmented participant data and weak follow-through. Gleam packages these reward-led workflows with templates, social/email/e-commerce integrations, entry tracking and winner selection; teams can reuse campaigns to collect opted-in leads and run recurring promotions. The benefit may be less manual setup and a clearer path from engagement to a subscriber or sale, although vendor claims do not prove campaign return. A clone could focus on one commerce platform or region, make consent and draw audits obvious, and report qualified conversions instead of raw entries. That is a positioning hypothesis, not a proven moat.
02

The money: revenue, cost, and margin

Monthly revenue$80K/mo

Estimated from technical complexity, people, tools, and delivery scope.

Starter Story’s AI-researched profile says it compiled 27 public sources and was not written by the founder; it estimates about $85K monthly revenue as of 2017 from two sources. The bare dollar sign leaves currency unspecified. This dated, unverified estimate is not current or audited revenue. No current Gleam-specific revenue, profit or cost breakdown was found. A hypothetical clone model uses US$75,000 startup and US$150,000 monthly as startup × 2; these are planning placeholders, not Gleam’s numbers, profit, ROI or forecast. Likely cost drivers include product and engineering staff, cloud and email delivery, integrations, security/privacy, support and acquisition. Customer-funded prizes should be budgeted separately from platform operations. Revenue is not profit.
03

Where the revenue comes from

Gleam earns subscriptions for individual apps or discounted packages, with free entry tiers converting through features and usage limits. Its billing FAQ, updated October 1, 2026, specifies USD, monthly/yearly options and varying annual savings, without the older 65% claim. An official notice updated August 22, 2026 advertises Hobby at US$19 monthly; current checkout pricing was not verified. Taxes are generally additional, except Australian displayed prices include GST. Other apps and tiers charge separately. The referral program gives referrers 20% of referred payments as subscription credit or PayPal under its conditions. That is an acquisition incentive, not company revenue. Current revenue mix is undisclosed.
04

Tools you need to replicate it

Gleam publicly offers hosted/embedded campaigns, entry templates, referrals, draws, fraud controls, email capture and user-generated-content galleries, with Shopify, Mailchimp, HubSpot and Salesforce connections. Newsletter opt-in actions enable automatic email-provider subscription; connecting a provider alone does not. July 2026 help warns some social actions require manual winner verification because of API limits. Its security document, last updated February 2020, names AWS hosting and Stripe payments; the company timeline records a July 2023 Vue redesign. These dated disclosures do not verify today’s complete language, database or fraud stack. For a clone, managed authentication, database, email and checkout are recommendations, not additional claims about Gleam’s infrastructure.

Success stories from this field

Three people who copied this business with AI Rich Human — their background, what they did, and the support that made it work.

Story by · Rahul Novak

Rahul Novak — from call-center agent to copying a $80K/mo business: SaaS marketing

I did this for my daughter. I was tired of choosing between rent and her school fees. I read scripts to angry customers for 12 years, monitored every second, burned out at twenty-eight. Then a friend sent me a link to AI Rich Human. I expected another "get rich online" course and almost closed the tab. Instead I found real businesses that already make money — named companies with real revenue — and, for SaaS marketing, a copy-and-execute plan broken down to the numbers. My brother laughed when I told him. My old manager said I was throwing away a stable job. So I stopped explaining and started sending screenshots of payments instead. Nobody argues with a bank notification. Their breakdown answered the three questions I actually had: how much to put in (about $75K), what to build it on (Shopify, MailChimp), and where the customers come from (Press, Direct sales). Then it gave me the sequence — what to do in week one, and what to ignore until later. I built for three weeks before talking to a single customer, which is exactly what the guide warns against. My first five conversations changed the offer completely. I wish I had done those five calls in week one. I worked through the checklist in order. Shopify, MailChimp first, then Press, Direct sales, then the outreach script — and two paying clients inside a month. The headline budget of about $75K is not a day-one number; I spent the minimum that could produce one customer and let the rest come out of earnings. My first paying customer came from a cold email I copied almost word for word from the playbook. I was scared to hit send. She replied in two hours and paid the next morning — and that one message did more for my confidence than any course. There is no office and no boss. Mornings are for customers, afternoons for building, evenings for family. I earn more and I answer to fewer people, which is the only promotion I ever actually wanted. I undercharged for two months out of fear. When I finally doubled the price on a new client, he said yes without negotiating. The cheap clients had been the difficult ones all along. I expected a course and got a technical partner. Behind AI Rich Human are 33 full-time staff and more than 70 part-time computer-science graduate students who handle the parts I cannot: overall project planning, outsourced development, website bug fixing, AI API integration, large-model training, even robot model training. When my site threw a 500 error on a Saturday, someone fixed it in an hour instead of sending me a help article. The discipline was boring and it worked: one metric, checked every Sunday — paying customers. Growth meant more of the same channel. A flat week meant a different offer, not a different business. Today my copy of it pays me every month. The business I copied runs about $80K/mo — I am not at that scale, and I don't need to be: I was earning around $1,500 a month as a call-center agent in Porto, and this already beats that, with room to grow. I am not a genius and I cannot code. What changed was copying a proven plan with a team behind me. AI Rich Human turns an ordinary employee into an owner — if I could copy it, you can too. The first month I paid both without panic, I cried. The project I copied, in full: http://www.airichhuman.com/stories/starterstory-33-gleam-io?lang=en
Story by · Chloé Rahman

Chloé Rahman — from line cook to copying a $80K/mo business: SaaS marketing

There is a version of this story where I never clicked the link. I clicked it out of boredom at one in the morning. I worked the line in a restaurant kitchen for 15 years — split shifts, burns, tips split three ways. A colleague forwarded me AI Rich Human during a lunch break. I scrolled past the hype and landed on the part that mattered: actual companies, actual revenue, and a step-by-step breakdown of SaaS marketing written for someone with no budget and no team. The plan was brutally specific: a launch budget of about $75K, the exact tools it runs on (Shopify, MailChimp), the revenue channels that actually convert (Press, Direct sales), and the first steps to land a paying customer. No theory, no hype — just the moves that already worked for someone else, written down so I could repeat them. I blocked out evenings and did exactly what the sheet said: Shopify, MailChimp set up, Press, Direct sales opened, the first-customer email sent. Two clients signed within three weeks. I never needed the whole $75K up front — I put in just enough to get one person to pay, then recycled that money. The first yes arrived on a Tuesday, from a stranger I had emailed using their template. I rewrote maybe four words. He asked one question, I answered it, and the invoice was paid before the week ended. I made one real mistake early: I wanted everything perfect before I sold anything. Two weeks passed — I had a logo, a website, and zero customers. The plan says it plainly: sell first, build second. The moment I sent five rough cold messages, the business started moving. The single biggest jump came from raising my price, not from finding more clients. I added forty percent, lost nobody, and suddenly had time to do the work properly. People at work found out and made jokes about "internet money". I stopped defending it and just showed the payout screen. The jokes stopped when the numbers got boring and regular. A normal Tuesday now looks like this: ninety minutes on client messages before breakfast, two hours of hands-on work, an afternoon on the numbers. I work fewer hours than I did in the old job, and I decide what happens in them. That part I still can't get used to. What actually saved me was the team. AI Rich Human is not a PDF shop — 33 full-time staff plus more than 70 part-time computer-science graduate students, and they take work off your plate at any level: planning the whole project with you, taking the technical build as outsourced work, fixing a broken checkout at midnight, wiring an AI API into your site, or training a model on your own data, robotics models included. When my payment page died on a Friday night, a real engineer answered. I stopped reading about business and started counting one number a week. If paying customers went up, I repeated whatever I had done. If they didn't, I changed the price or the pitch. That was the whole system. My version is small and it is mine. It earns less than the $80K/mo the original does — but more than the $1,800 a month I made as a line cook in Busan, and it grows while I sleep. I cannot code and I have no rich uncle. I had a plan, a link, and a team I could call. That was enough, and it can be enough for you. Boredom turned out to be the most profitable decision I made that year. The project I copied, in full: http://www.airichhuman.com/stories/starterstory-33-gleam-io?lang=en
Story by · Jonas Lindqvist

Jonas Lindqvist — from administrative assistant to copying a $80K/mo business: SaaS marketing

Two things were true at once: I was exhausted, and I was comfortable. Comfort was the problem. For 3 years I was an administrative assistant — booking rooms, filing invoices, and a salary that never moved. I found AI Rich Human through a search I had almost given up on. What kept me there was not a promise but a spreadsheet: SaaS marketing, what it costs to start, which tools it runs on, and how the first customer actually arrives. My mother asked, twice, whether this was a scam. The third time she asked, it was to find out how much I was making. I did not convince anyone with words — the transfers did it. What I got was not a course but a build sheet — the launch budget (about $75K), the stack (Shopify, MailChimp), the channels that actually convert (Press, Direct sales), and the order to do things in. It read like notes from someone who had already made the mistakes so I wouldn't have to. So I followed it, step by step. I set up Shopify, MailChimp, opened Press, Direct sales first, and used their first-customer script to land my first two paying clients within a few weeks. The plan lists a full launch budget of about $75K, but nobody spends that on day one — I started with the smallest slice that could produce a paying customer, and reinvested from the revenue. I sent eleven messages before anyone answered. The twelfth person — a small studio owner — replied "how much?" and paid that afternoon. Eleven rejections cost me nothing but an evening. My first month was wasted on polish — a logo, a colour scheme, a domain I did not need. Nobody bought anything. Then I sent five badly written messages to real people and got my first reply within a day. Sell first, decorate later. The part nobody advertises: there is a bench behind the plan. 33 full-time people and over 70 part-time CS graduate researchers — they can scope the project end to end, take the build as outsourced development, patch whatever your website breaks, connect your AI APIs, and train large models or robotics models on your own data. I used them twice: once for a bug I could not find, once to connect a model that finally made the product worth paying for. Nobody warns you about pricing. My first price was so low that I was busy all day and still broke. On the third client I raised it by forty percent and nobody blinked. That same client later sent me two referrals. I also learned to trust numbers over fear. Every week I tracked one thing: paying customers. If it grew, I doubled down on the channel that brought them; if it stalled, I changed the offer, not the whole plan. I still get up early, but now the first hour belongs to me, not to a commute. Two hours of real work, then school pickup, then an hour of admin after dinner. Same number of hours, completely different life. A year ago I was a administrative assistant in Tunis on about $2,000 a month. Today this copy pays me more than that, and the business I copied is doing $80K/mo — proof the ceiling is far above me. Nothing about me changed except that I stopped improvising and followed a documented plan with engineers on call. Nothing about my old life was broken. I just wanted a version of it that I owned. The project I copied, in full: http://www.airichhuman.com/stories/starterstory-33-gleam-io?lang=en

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