Welcome to the Sellforte MCP Use Case Library. Each post takes one question that marketing teams really ask their AI assistant through Sellforte MCP, which is now in general availability and accessible to all marketers worldwide. It strips out anything customer-specific and walks through what the assistant does with it, step by step. We run every question on our demo account so the numbers you see are illustrative, not anyone's real results. The idea is simple: steal the prompts, try them on your own model, and see what you get back. We hope you find this series inspiring!
-Juha, CEO at Sellforte
Halfway through the month, the picture is usually uneven. One market is beating its efficiency target, another is behind, and you've got a small overspend allowance you could still use. Waiting for next month's plan means another two weeks of the same split. This one is for the performance marketing manager running several markets who wants to act mid-month, on the right numbers.
For October to date, show ROI and spend by market against our targets: Germany 4.2, US 4.0. Which markets are beating target and which are lagging?
Where should we move budget for the rest of the month within our 5% overspend allowance? Look at the campaigns with the best and worst marginal return in each market, and at our saved optimizer plans.
Our demo data ends on 2026-11-01, so we ran the market check as if it were 2026-10-17, with two weeks of October left.
The assistant pulls month-to-date spend, incremental sales and ROI by country from the model. Targets aren't stored in Sellforte, so it reads them from your prompt.
| Market | Spend (USD) | Incremental sales (USD) | ROI | Target | Status |
|---|---|---|---|---|---|
| Germany | 447 205 | 1 815 640 | 4.06 | 4.2 | Lagging |
| US | 184 100 | 815 230 | 4.43 | 4.0 | Beating |
Illustrative demo data. Demo account figures are in USD. Targets are example inputs from the prompt.
So far, so simple: the US is ahead, Germany is behind. The obvious move would be to take money out of Germany. That's where the second step earns its place.
Average ROI tells you how a market did. It doesn't tell you what the next dollar will do. For that, the assistant reads Sellforte's campaign-level recommendations for each market, which include the marginal return (miROAS) and a recommended spend change per campaign. These are a snapshot over the latest 28 days, 2026-10-05 to 2026-11-01 on the demo account.
| Campaign | Market | miROAS | Weekly spend (USD) | Recommended change | Weekly incremental sales impact (USD) |
|---|---|---|---|---|---|
| Google YouTube | US | 6.66 | 5 043 | +50% | +18 092 |
| Google YouTube | DE | 4.49 | 11 461 | +38.9% | +21 519 |
| Google Search Generic | US | 4.27 | 3 063 | +37.9% | +5 818 |
| Google Shopping | DE | 2.04 | 6 697 | −34% | −4 856 |
| Meta Retargeting (30-day ad set) | DE | 2.02 | 3 190 | −32.3% | −2 233 |
| Adtraction | DE | 1.96 | 8 481 | −37.6% | −7 700 |
Illustrative demo data. Demo account figures are in USD.
Here's the twist. Germany holds both ends of the list. Its weakest campaigns have a marginal return around 2, but its YouTube campaign still returns 4.49 on the next dollar, better than most of what the US has to offer. Taking money out of Germany wholesale would cut the good with the bad.
Across both markets, the recommendations add up to a small net increase in daily spend, from 34 513 to 35 059, which fits well within a 5% allowance. Germany's recommendations alone are expected to add 6 464 in incremental sales per day, the US's 2 417.
The assistant then compares the saved optimizer plans by market. The optimized flat-budget plan for Q4 moves 36 894 from Germany to the US compared with business as usual, adding 111 321 in incremental sales on the same total budget. It also points out that both plans were built before the latest model refresh, so they should be re-created before you rely on them.
Creating a new scenario for the remaining weeks, with the budget raised by at most 5%, is the natural next step. The optimizer supports that, with channel and country as planning dimensions and limits on how far each channel can move. We didn't create one here, because that writes to the account. In your own setup, ask for a business-as-usual scenario at the same budget alongside it, so you can compare the two by market.
A higher average ROI doesn't mean the next dollar earns more there. Budget should follow marginal return, campaign by campaign, not the market headline. In this example the market that's missing its target is also where the single biggest gain is, and the fix starts inside Germany, by moving money from its weakest campaigns to its strongest, before anything crosses a border.
The market check is quick to rerun every week. The bigger decision, actually reallocating, is where the campaign view and the optimizer earn their keep.
Running several markets and want to see where your next dollar should go? Book a demo. Existing customers can find out how to connect Sellforte MCP to their LLM client.
We'll keep adding new use cases to this library.