REPLICATION GUIDE · AI Businesses

eCommerce customer feedback tool

Zigpoll is customer-feedback SaaS for ecommerce and SaaS teams.

● Already earning  $70K/mo  ·  Copy it for about $35K

Replication snapshot

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

Monthly revenue$70K/mo
Copy budget$35K
Growth channelsAdvertising on social media, SEO
Tools to copyShopify
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
Build a limited Shopify-agency feedback pilot. Interview 15 operators managing ≥5 stores; offer free demos and recruit 2–3 paid 30-day pilots. Total copy budget: $35K.

Want to see how that $35K 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

Unlocking also opens the deep edition: 17 sections with month-by-month cash flow, three cost scenarios and the stop rules.

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Open-source stack you can start from

Each repository was checked against the GitHub API for existence, stars and licence terms. Fork one instead of starting from zero. Where it says AGPL, read the terms before shipping a paid product.

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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

Zigpoll is customer-feedback SaaS for ecommerce and SaaS teams. Post-purchase, on-site, exit-intent and NPS surveys ask why people buy, leave or prefer products. Founder Jason Zigelbaum says his ecommerce-agency work showed analytics behavior without reasons; he built Metafields Manager, later absorbed by Shopify, and says he runs Zigpoll solo. The official site offers a Shopify app, embeds, email/SMS and mobile SDKs. It claims 20,000+ stores and 50% response; unverified company figures. Shopify listed 595 reviews, 585 five-star, checked 2026-10-18. The founder says he started in 2018; his profile and Shopify show an April 2019 launch. He reported $125K MRR for June 2026; a later post says $133K for July. These are unaudited self-reports; USD context is explained below.

Replication breakdown

01

Why it works — and where your opening is

Merchants can see clicks and conversions but still guess why shoppers buy, abandon or choose a product. Ad attribution, interviews and analytics can be fragmented or costly. Short post-purchase, on-site or exit surveys ask near intent; optional Shopify order/SKU context lets teams compare motives and spot friction, while templates/no-code reduce setup and AI can organize free text. This may help tune campaigns/products and keep feedback in routine work, saving analysis time only if responses are representative and acted on. The founder’s agency experience plus integrations, reviews and reported agency use may aid trust/distribution, but do not establish a moat or switching cost; test agency workflow. Sampling bias, low response, survey fatigue and consent needs remain.
02

The money: revenue, cost, and margin

Monthly revenue$70K/mo

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

Founder Jason Zigelbaum reports June 2026 near $125K MRR and July $133K; both bare-$ and unaudited. Main monthly_revenue_usd uses the newer July $133,000 and infers USD by context, not explicit source code: his LinkedIn profile lists New York, the company profile Miami; both are U.S., and Shopify bills charges in USD. The inference is unverified; $133,000 is historical, not current. Starter Story’s Sep. 2025 interview profile shows $83,333/month; its AI profile separately estimates ~$85K/month for 2025 from two public sources and warns figures are best-effort. Revenue is not profit; net margin and actual costs remain unknown. Relevant costs include infrastructure, tools, email/SMS, AI, support, development and acquisition.
03

Where the revenue comes from

Zigpoll’s vendor pricing page advertises free Lite (50 monthly responses) and paid plans from $29/month, with no ISO currency code visible. Shopify’s App Store lists Standard at $39, Advanced at $129 and Premier at $399 monthly and explicitly says charges are in USD. These official price surfaces differ and may not be like-for-like; treat as separate benchmarks. Caps vary by response volume; email/SMS and AI credits are limited. The founder describes tiered subscriptions, with free access potentially leading merchants to upgrade. Enterprise offers custom terms and unlimited sub-accounts. Paid-customer mix and marketplace commissions are unknown; the founder’s July 2026 self-report puts revenue churn at 5.5%, unverified.
04

Tools you need to replicate it

Official pages document Shopify app, no-code embeds, email/SMS, native iOS/Android SDKs, JavaScript/Web APIs, webhooks and hosted MCP. Founder’s July 2026 interview describes a partial self-reported stack: JavaScript, React, Express/MongoDB and Redis cache; not audited. DPA v1.4 (Sep. 18, 2026) lists AWS, MongoDB Atlas, Redis Cloud, Cloudflare, Mailgun/Sinch, Twilio, DigitalOcean, Stripe, Sentry and OpenAI. Its AI features may transmit survey answers; some user-invoked queries can also include merchant-supplied metadata. The DPA says personal data is not used to train models. Terms prohibit sensitive data and state the service is neither HIPAA- nor PCI DSS-compliant; a separate PCI page claims Level 4 self-certification, leaving scope unclear. Replica recommendation: least-privilege OAuth, MFA, tenant isolation, encryption, deletion logs.

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 · Lucas Takeda

Lucas Takeda — from retail salesperson to copying a $70K/mo business: eCommerce customer

I had already failed twice — a dropship store and a print-on-demand shop, both dead. For 17 years I sold phones in a mall kiosk — twelve-hour shifts, commission barely covering rent. 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 eCommerce customer, 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 $35K), what to build it on (Shopify), and where the customers come from (Advertising on social media, SEO). 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 first, then Advertising on social media, SEO, then the outreach script — and two paying clients inside a month. The headline budget of about $35K 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 $70K/mo — I am not at that scale, and I don't need to be: I was earning around $2,600 a month as a retail salesperson in Leeds, 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. Third attempt, but this time with an actual map. The project I copied, in full: http://www.airichhuman.com/stories/starterstory-83-zigpoll-com?lang=en
Story by · Noor Gupta

Noor Gupta — from call-center agent to copying a $70K/mo business: eCommerce customer

Everyone in my family works shifts. Nobody has ever run a business. I decided to be the first. I read scripts to angry customers for 5 years, monitored every second, burned out at twenty-eight. 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 eCommerce customer written for someone with no budget and no team. The plan was brutally specific: a launch budget of about $35K, the exact tools it runs on (Shopify), the revenue channels that actually convert (Advertising on social media, SEO), 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 set up, Advertising on social media, SEO opened, the first-customer email sent. Two clients signed within three weeks. I never needed the whole $35K 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 $70K/mo the original does — but more than the $3,000 a month I made as a call-center agent in Manchester, 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. My mother still doesn't fully understand what I do — but she stopped telling me to find a "real job". The project I copied, in full: http://www.airichhuman.com/stories/starterstory-83-zigpoll-com?lang=en
Story by · Felipe Novak

Felipe Novak — from line cook to copying a $70K/mo business: eCommerce customer

I am not the type who starts things. I have a folder full of half-finished plans. This one was different, because the steps were already written down. I worked the line in a restaurant kitchen for 8 years — split shifts, burns, tips split three ways. 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: eCommerce customer, 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 $35K), the stack (Shopify), the channels that actually convert (Advertising on social media, SEO), 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, opened Advertising on social media, SEO 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 $35K, 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 line cook in Warsaw on about $3,400 a month. Today this copy pays me more than that, and the business I copied is doing $70K/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. That folder is still there. This is the only file in it that ever made money. The project I copied, in full: http://www.airichhuman.com/stories/starterstory-83-zigpoll-com?lang=en

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