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Criteo AI Prompt Library

Build Criteo reports, explore campaign performance, and prepare your next budget discussion. Customize your account and dates, then copy a prompt into your connected AI assistant.

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Ready-to-use analysis briefs

Criteo AI Prompts for Reporting, Optimization, and Analysis

Choose a reporting goal, customize the inputs above, and copy a complete prompt that tells your AI assistant which data to analyze and what to return.

Reporting

Campaign Performance Report

Compare campaign spend, sales, and ROAS in one table.

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Use Adzviser to report on Criteo campaigns in my Criteo account for the last 30 days. Show spend, impressions, clicks, attributed sales, revenue, and ROAS by campaign, using 7-day post-click attribution. Sort by spend and summarize the three results most relevant to our next campaign review.
Reporting

Client Performance Update

Turn campaign results into a concise client update.

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Prepare a Criteo client update for my Criteo account covering the last 30 days. Compare spend, attributed sales, revenue, and ROAS with the previous equal-length period using the same attribution window. Include a compact results table, the strongest and weakest campaign changes, and three discussion points for our next meeting.
Analysis

Find the Campaigns Behind a ROAS Change

See whether spending or revenue drove the change in ROAS.

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Analyze the change in Criteo ROAS for my Criteo account during the last 30 days versus the previous equal-length period. Use 7-day post-click revenue for both periods. Show campaign spend and revenue changes, rank the largest contributors, and explain whether the account-level change mainly came from spending, revenue, or a shift in the campaign mix.
Analysis

Investigate Ad Set Click Costs

Find the ad sets contributing to a higher cost per click.

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Compare Criteo ad set performance in my Criteo account for the last 30 days with the previous equal-length period. Show spend, impressions, clicks, CTR, and CPC by ad set within each campaign. Identify where click costs rose most and whether click-through rates or impression costs also changed. Suggest which ad sets deserve a closer review.
Analysis

Compare Device Performance

Compare the cost and results of reaching different devices.

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Analyze Criteo performance by device for my Criteo account during the last 30 days. Show spend, clicks, attributed sales, revenue, and ROAS using 7-day post-click attribution. Highlight devices with substantial spend and weaker results, then show which campaigns account for those differences.
Analysis

Compare Revenue Attribution Windows

See how campaign results look over 7-day and 30-day windows.

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For Criteo campaigns in my Criteo account during the last 30 days, show spend alongside 7-day and 30-day post-click revenue and ROAS. Keep the two windows in separate columns. Identify campaigns whose ranking changes most and explain how that would affect a budget discussion.
Optimization

Prepare a Campaign Budget Review

Identify campaigns to consider for more or less budget.

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Review Criteo campaign spend, attributed sales, and ROAS for my Criteo account during the last 30 days, using 7-day post-click attribution. Group campaigns into candidates for more budget, closer investigation, or continued observation. Support each choice with spend and sales volume as well as ROAS. Ask for our target ROAS and budget before proposing an allocation.
Optimization

Prioritize Creative Tests

Use ad-level results to plan the next creative review.

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Compare Criteo ads in my Criteo account during the last 30 days using spend, impressions, clicks, and CTR. Within each ad set, identify ads with enough delivery to make a useful comparison and weaker engagement. Create a short testing plan with the ads to review, the performance question to test, and the metric to monitor.
Optimization

Review Spend Without Attributed Sales

Build a focused review list for campaigns with spend but no sales.

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Find Criteo campaigns in my Criteo account with spend but no 7-day post-click sales during the last 30 days. Show spend, clicks, and any sales from the previous equal-length period. Rank the review list by spend and distinguish newly active campaigns from those with a continuing pattern. Suggest the next question to investigate for each.

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