What Is a Full Campaign Pipeline? How Infinall AI Takes a Product URL Through Research, Strategy, Copy, and Creative to Review

Full Campaign is Infinall AI's main workflow. You give it a product URL, and it runs a pipeline of connected stages: competitor research, strategy, ad copy, and creative (image ads, carousels, and video drafts). The output lands in an Approval Queue, where you edit, regenerate, or reject, and approve before anything is exported.

"Pipeline" is the accurate word because each stage depends on the one before it. Strategy uses the research, copy uses the strategy, creative uses the copy, and all of it starts from Infinall's understanding of your product and brand (the Brand Brain, built from your URL). The point of connecting them is that context carries through, so the headline, the visual, and the audience you are addressing are consistent with each other.

What a Full Campaign does not do is equally part of the definition. Infinall does not buy media, does not manage live ad spend, and does not post on your behalf by default; an optional paid Distribution feature on Pro covers publishing, and it is separate. It does not guarantee results, and it does not replace legal or compliance review. The pipeline ends with material you have reviewed and exported, and you take it into the ad platforms yourself.

The intended users are founders and marketers of digital products, such as SaaS, e-commerce and Shopify stores, mobile apps, online courses, and newsletters, along with agencies serving them. It is not built for local businesses such as restaurants, gyms, or clinics.

A Full Campaign follows this sequence.

First, input and understanding. Infinall reads your product URL and builds its working understanding of what you sell, how it is described, and what the brand looks like. If the inferred understanding is off, correct it before continuing, since errors here travel through everything after.

Second, research. Infinall researches competitors and the market. The depth depends on plan: Free is Standard research only; Pro runs Standard mode with real-data research, and Research can go up to Deep or Max, with paid web data sources. The Library's Ad Spy lets you browse real competitor ads yourself.

Third, strategy. A draft plan: who to address, which angles to test, what proof to lead with. It is a plan to challenge, not a guarantee.

Fourth, copy. Ad copy written against the strategy.

Fifth, creative. Image ads, carousels, and video drafts. Which of these you get depends on the plan, described in the next section.

Sixth, review. Everything lands in the Approval Queue. You decide what is exported.

This is a description of the sequence as it appears to the user, not a claim about the system's internal architecture. [NEEDS VERIFICATION: if describing internal components or agent names, confirm with the product team before publishing.]

Throughout, a Model Council of AI reviewers can critique drafts: 3 reviewers on Free, and 2 to 6 of your choice on Pro. It is an aid to your review, not a substitute for it.

Full Campaign runs in two modes depending on plan, and the limits are specific.

Free plan ($0, 1,000 credits per month, 2 users): Full Campaign in Lite mode, which produces up to 3 image ads and 1 carousel per campaign. It uses core image engines only (low and medium quality, with upscale to 2K), includes no video generation, offers Motion graphics at the Standard tier only, and uses Standard research only. There is no Distribution. The Model Council has 3 reviewers.

Pro plan ("$30/month" or $299/year, 3,000 credits per month, 5 users): Full Campaign in Standard mode with real-data research, producing up to 6 image ads and 3 carousels per campaign. It includes every image engine, quality level, and upscale to 4K; video generation up to 4K; Motion graphics at Standard, Pro, and Max; research up to Deep or Max with paid web data sources; and a Model Council of 2 to 6 reviewers of your choice. Distribution is available on a pay-as-you-go basis: 2 connected accounts free, then 300 credits per account per month, and 2 credits per live ad per month. Extra credit packs cost $10 to $100.

Credits are the unit of generation: 1 credit is $0.01 of AI compute. Saving, exporting, and downloading never use credits, on either plan. Infinall Chat in Auto mode is unlimited and free.

The Free plan is a practical way to see how the pipeline handles your product before paying anything. Whether the extra campaign size, video, and deeper research on Pro are worth "$30/month" depends on how much you will run and what formats you need.

The pipeline's last stage is the Approval Queue, and what comes after it is your work.

In the Approval Queue you read each asset, edit copy, check claims against your product, regenerate what misses, reject what is wrong, and approve what fits. Only then do you export. Exporting does not use credits.

After export, you take the assets into the ad platforms, such as Meta Ads Manager, Google Ads, or LinkedIn, and set up and run the campaign yourself. You choose the budget, audience settings, and optimization targets, and you read the results. Infinall does not do these steps.

The optional Distribution feature on Pro covers publishing and related automation (auto-publish, reposts, first comment, boosting a post, analytics, inbox, workflows, broadcasts, webhooks, ads). On the free Calendar, by contrast, you get reminders only and post yourself. Distribution is pay-as-you-go and separate from the default Full Campaign workflow.

A few review habits are worth building. Check every factual claim, price, and feature reference. Read drafts against your positioning and cut lines that any competitor could say. Check platform ad policies for your category and any legal requirements for your claims, because neither the Approval Queue nor the Model Council certifies compliance.

Treat the first campaign as a hypothesis to test with a small budget, not as a finished, proven asset. The pipeline shortens the path to reviewable material; the learning happens when real people see the ads.