As of 13 August 2026, AI can create a paid ads report for your business.
This still needs a person who signs their name to it.
Can you do it?
15 minutesto a draft.
30 minutesto something you’d act on.
Cost, all in£0
Skill neededchat-fluent
Who has to check ityou
What the alternative costsPolymer provides AI dashboards and insights from spreadsheets without setup.
If this goes wrong, you may reduce a useful campaign or increase spend based on a mistaken interpretation of the data.
What to actually do
Hand it to a person
The route this page recommends
A person who owns the outcome does this end to end, worth it when the failure is dear.
Use a tool built for this
Second choiceDo it yourself
The distant thirdA chat interface, chat-fluent skill, and roughly 30 minutes until you can act on the result.
How to actually do it
- Open the advertising platforms you use and export campaign-level results for the same reporting period, including spend, impressions, clicks, conversions and revenue where available.
- Gather the campaign objective, target audience, budget limits, landing-page changes, sales information and any tracking or attribution limitations.
- Paste the exports and business context into a chatbot with the supplied prompt, and ask it to keep platform figures separate from calculated metrics.
- Copy the draft report into a document and compare every spend, click, conversion and revenue figure with the original platform exports.
- Recalculate the reported rates and costs in a spreadsheet, then remove or label any recommendation that depends on missing tracking or context.
- Send the checked report to the person responsible for the advertising budget and agree which recommendations will be tested before changing spend.
Prompt
Create a paid advertising performance report from the data and context below. Use only figures present in the supplied files or text, and do not invent missing values. First state the reporting period, platforms, campaigns and objectives covered. Then provide: an executive summary, a table of spend, impressions, reach if available, clicks, click-through rate if available, conversions, conversion rate if available, cost per click if available, cost per conversion if available, and revenue or return on ad spend if available; comparisons between campaigns and against any supplied target; notable changes; data-quality limitations; and prioritised recommendations for the next reporting period. Show the formula for every metric you calculate and label calculated figures clearly. Distinguish correlation from causation, do not claim that an advert caused a result unless the data supports that conclusion, and do not recommend changing budget, targeting or creative without explaining the evidence and the risk. End with five questions I should answer before acting on the report. Write in plain British English for a business owner. Business context: [BUSINESS TYPE, OFFER, TARGET CUSTOMER AND PRIMARY OBJECTIVE] Reporting period: [START DATE TO END DATE] Targets or comparison period: [OPTIONAL TARGETS OR PRIOR PERIOD] Platform and campaign exports: [PASTE OR ATTACH THE DATA] Known tracking limitations: [TRACKING, ATTRIBUTION OR DATA QUALITY NOTES] Budget and constraints: [SPEND LIMITS, CAPACITY, SEASONALITY OR OTHER CONSTRAINTS]
Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.
What it gets wrong
- AI cannot know whether a conversion was genuinely caused by an advert when tracking, attribution or the sales process is incomplete.
- It cannot decide whether a poor result reflects the creative, audience, offer, landing page, seasonality or a change outside the campaign without your business context.
- It can make a clear recommendation from a misleading export, so polished presentation does not prove the analysis is sound.
- It cannot take responsibility for wasted spend or lost sales when you act on its conclusions.
Even on a YES, the friction has a name: judgement under ambiguity, verification cost and stakes of error.
How we scored this
Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.
| Axis | Score (0–2) |
|---|---|
| Output | 2 |
| Inputs | 2 |
| Verification | 1 |
| Liability | 1 |
| Effort delta | 2 |
| Total | 8 / 10 |
The methodology and its thresholds are published in full.
FAQ
- Can ChatGPT make a paid ads report?
- Yes. Give it platform exports, the reporting period, campaign objectives and business context, and it can produce the tables, calculations and written summary. Check the figures against the advertising platform before using its recommendations.
- Can AI analyse my Facebook and Google ads?
- It can analyse exports from those platforms when you provide them in a readable format. It cannot reliably resolve incomplete conversion tracking or decide which outside business factors explain the result.
- What should be included in a paid ads report?
- Include the reporting period, objectives, spend, delivery, clicks, conversions, revenue where available, calculated rates, comparisons and data limitations. Add recommendations only when the evidence and business constraints are stated.
- Can AI tell me which advert to increase the budget on?
- It can rank adverts using the figures and targets you supply, but that is not proof that the ranking will continue after a budget change. Check tracking, audience overlap, capacity and recent changes before moving spend.
Nearby answers
- Can AI build a landing page for my paid ad campaign?YES
- Can AI calculate how much I should spend on paid ads?PARTLY
- Can AI calculate my paid advertising ROAS?YES
- Can AI choose audience targeting for my paid ads?PARTLY
- Can AI choose keywords for my Google Ads?PARTLY
- Can AI choose the best paid ad platform for my business?PARTLY
Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.
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