Amazon Agency Capacity Calculator
How many more client brands could your team take on if AI did the repetitive part of the work? Put in where your hours actually go and get an estimate you could defend to your business partner.
Your month in hours
Per brand, before and after
Test the biggest number on one client first.
Connect one client brand freeSigning up and connecting accounts is free. When you're ready to run next week's review through it, two weeks of the Launch plan is $20. Compare the hours with this week's and that's your real number.
Runs entirely in your browser. Nothing you type gets sent anywhere. Defaults are illustrative, not benchmarks.
Why saved hours aren't the same as new clients
"AI saves us ten hours a week, so we can take on five more clients" is how agencies end up overloaded. Saved time comes in twenty-minute pieces spread across the week. Some of it has to go back into the clients you already have. And a client you've just signed costs far more in the first month than in the sixth.
The calculator runs that twice, once without AI and once with, and only the difference counts as capacity from AI. On the defaults, three people with 20 brands have room for 2 more today and 6 with AI as modelled, so 4 come from AI. With 12 onboarding hours per new brand, the first month only takes 3, against 1 without. It's a smaller number than you'll hear in vendor demos, but it's one you can plan hiring around.
Where AI helps an agency, and where it doesn't
The cut comes from gathering and sorting numbers, not from the judgment.
Client reporting
Usually the biggest win. Pulling a brand's week, spotting what moved and drafting the commentary is mostly data work.
Search-term reviews
Sorting thousands of rows for harvest and negative candidates. A person still decides, but starts from a shortlist.
Bid and budget passes
Finding the targets above their ACoS ceiling and the campaigns running out of budget. Approving the changes stays with you.
Calls and strategy
Barely moves, and shouldn't. It's the part clients pay for, and the part freed hours are best reinvested in.
What this can't see
It pools your team's hours and assumes an average brand. Four things sit outside that, and any one of them can change the answer.
Role bottlenecks
Spare analyst hours don't cover a missing account manager. If one role is already full, that role caps growth, whatever the pooled number says.
Client mix
A five-marketplace brand running DSP isn't an average brand. If the clients you're chasing are bigger than the ones you have, raise the hours.
Demand
Capacity isn't a signed retainer. The revenue figure is what those slots would bill once filled, before the cost of winning them.
Quality
An AI-drafted report nobody checked is a churn risk. The reductions here assume a person reviews every output before a client sees it.
Get your real numbers, not ours
Marketplace Ad Pros connects each client's Amazon Ads and Seller Central data to Claude, ChatGPT, or our in-app chat, scoped one brand at a time. The data work in the reporting and review rows happens there, and your team keeps the decisions.
- Per-brand reports and dashboards for the weekly client review.
- Daily AI recommendations per brand, which your team approves, edits or rejects.
- Unlimited team seats, so adding a person never adds a tool bill.
- Turn a margin into a ceiling with the break-even ACoS and bid calculators.
Frequently Asked Questions
Divide the hours a person actually spends on client delivery by the hours a brand takes each month. Someone working 160 hours with 75% of it on client work has 120 delivery hours; at 16 hours per brand that is seven brands with a little room left over. There is no honest industry number, because a single-marketplace PPC-only brand and a multi-marketplace full-service brand are different jobs. Time your own brands for two weeks and use that.
The repeatable, data-heavy ones: pulling and commenting on client reports, reviewing search terms for harvesting and negatives, and working through bid and budget analysis. Those are mostly gathering and sorting numbers, which is where an AI connected to the client's account data saves the most. Client calls, strategy and judgment calls shrink very little, and they are the part clients are paying you for.
Because freed time arrives in fragments, and some of it is better spent on the clients you already have. This calculator only counts part of the modelled savings, 75% by default, as hours you can sell, and it only assumes 75% of each task's eligible work actually moves to the new workflow. It also charges a few hours a month for maintaining the AI workflows themselves. Set both shares to 100% and you will see how much an optimistic model inflates the answer.
The calculator runs your agency twice. Without AI, it takes your delivery hours, subtracts the current workload, and divides what is left by the hours a brand takes. With AI, it shrinks each brand's hours by the usable savings, subtracts workflow upkeep, and divides again. The difference between the two answers is the capacity attributed to AI. Any headroom you already had shows up in both runs, so it is never counted as an AI gain.
Yes, for the first month. A new brand needs its normal monthly work plus account setup, audits and getting to know the catalog, which the calculator counts as extra onboarding hours per brand. That is why the onboarding-month figure is lower than the steady-state one. Sign clients in a staggered way and the steady-state number is the one that matters.
They are illustrative starting points for a PPC-led agency, not measured benchmarks and not a claim about any product's performance. The AI reduction for each task is a planning assumption for connected, repeatable workflows with a human reviewing the output. Replace every default with your own: log a fortnight of time by task on two or three brands, then rerun the calculator with real hours.
Find out what one client brand really takes
Sign up and connect a client's accounts free, then try two weeks of the Launch plan for $20 and time next week's review against this week's. Unlimited seats, so bring the whole team.
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