1M.chat
  1. Home
  2. Case studies
  3. Case

Meta ad campaigns and creatives with AI, $9.9K MRR: $100/month

AdStellar AI uses agentic AI to build Meta ad campaigns, generate creatives, and adjust campaign performance. Its $9.9K MRR is verified through the payment provider's API by TrustMRR (Stripe), as of September 30, 2026.

What it actually sells

AdStellar AI sells AI for building, launching, and scaling Meta ad campaigns and creatives. It analyzes past performance, builds full ad campaigns, generates new creatives, and launches ads with one click.

It generates image ads, video ads, and UGC-style avatar content. It analyzes performance, pauses waste, scales winners, adjusts budgets, and builds Meta campaigns from top-performing winners.

How it charges

The site lists a base price of $100 per month and $2 per 1,000 AI credits. Customers can change their credit volume any month. The site also offers $100 in free credits and lists $0 due today.

Month by month

Monthly revenue as read from the payment provider by TrustMRR, in US dollars, as of September 30, 2026.

MonthRevenue (USD)
2026-01$1,093
2026-02$3,002
2026-03$11,369
2026-04$17,078
2026-05$19,074
2026-06$18,492
2026-07$14,184
2026-08$11,177
2026-09$9,164

Where customers come from

The site shows 1,300+ integrations for the Agent. It offers a Slack agent in threads and mentions, and it lists $100 in free credits with $0 due today. These are the visible site signals for reaching and activating users.

What stands out

The product combines campaign building, creative generation, performance analysis, and campaign actions in one place. It supports image ads, video ads, UGC-style avatar content, product URLs, competitor-ad cloning from the Meta Ad Library, and live performance analysis in plain-English chat.

The site states that it supports 4,400+ brands and agencies. It also lists 1,300+ integrations for Agent.

From the official site

Supporting 4,400+ Brands and Agencies
Analyzes performance, pauses waste, scales winners, and adjusts budgets.

Excerpts from the official website, fetched October 1, 2026.

Where it sits in the data

AdStellar AI's $9.9K MRR is higher than 94% of the 5,602 projects with payment-verified revenue in our dataset; the median across them is $150. Within the “Analytics” category (646 projects) it is higher than 93% (category median $135). Snapshot: 2026-09-02 to 2026-09-30. The dataset only covers founders who chose to publish their numbers, so it leans toward businesses that work; use it for scale, not as an average.

Currency

All figures are in US dollars as published. A rough yuan or euro conversion is not applied here because prices, taxes and acquisition costs differ by country.

Could you build something like this?

In my view, demand would come from brands and agencies that need to produce Meta ad campaigns and manage performance. The buyer would be a business paying for campaign creation, creative production, and ongoing optimization. Distribution could come through integrations, Slack, and a free-credit trial.

The hard parts are Meta campaign workflows, creative generation, performance analysis, and the support load around ad accounts and campaign changes. Competition would include other tools in AI advertising, campaign management, and creative production.

Verdict: Needs real work.

One thing to take from it

AdStellar AI combines campaign building, creative generation, and performance actions under a monthly subscription with usage-based AI credits. The visible offer targets brands and agencies with a product priced around ongoing campaign and creative work.

Sources

  1. AdStellar AI official website, fetched October 1, 2026
  2. AdStellar AI pricing page, fetched October 1, 2026
  3. TrustMRR: revenue verified through the payment provider's API by TrustMRR (Stripe), as of September 30, 2026

Revenue, team and start-cost figures are what the founder reported at the interview date, not current figures and not a prediction of what you will earn. Product and pricing facts come from the business's own website as checked on 30 September 2026. Method & sources · Disclosure

More case studies