Checking ad performance data to see when visuals stop working and swapping them out before performance drops too much.

• Export ad performance data from the advertising platform into a spreadsheet.
• Filter the data by date range and isolate active ad creatives.
• Calculate frequency and cost-per-acquisition trends for each individual visual over the last seven to fourteen days.
• Compare current metrics against historical benchmarks to identify which assets show fatigue.
• Log into the ad manager to pause the underperforming creatives.
• Select replacement images or videos from the asset library and build new ad variations.

Cross-referencing dozens of performance metrics against a growing library of image and video assets every week is tedious and easy to delay.

1. You

   1. Export the current performance data

   Export the relevant ad-set and creative data from the advertising platform for the last seven to fourteen days, including spend, impressions, frequency, clicks, click-through rate, conversions, and cost-per-acquisition. Include enough historical data to compare each visual with its normal performance.

2. AI

   2. Prepare the creative-level dataset

   Give the export to AI and ask it to group results by individual image or video, remove inactive or incomplete rows, and calculate recent frequency, click-through rate, conversions, and cost-per-acquisition trends. Ask it to show the calculations and flag missing data rather than filling gaps with assumptions.

3. AI

   3. Flag possible creative fatigue

   Ask AI to compare each active visual with its historical benchmark and produce a ranked list of possible fatigue cases, explaining which metrics changed and over what period. Treat the list as a screening aid: frequency and performance can also change because of audience, budget, attribution, or auction conditions.

4. You

   4. Decide which creatives to pause

   Check the flagged creatives against campaign objectives, recent budget or audience changes, tracking quality, and any business context that the data cannot show. Approve the visuals to pause, reject false positives, and set a replacement priority; this decision determines which ads lose delivery and which remain active.

5. You

   5. Pause approved ads and choose replacements

   In the ad manager, pause only the approved underperforming creatives. Select replacement images or videos from the asset library that fit the relevant audience, offer, placement, and brand requirements.

6. You

   6. Build and launch the replacement variations

   Create the new ad variations, confirm links, tracking, copy, placements, budgets, and approval requirements, then publish them according to the campaign plan. Record the paused creative, replacement asset, launch date, and starting benchmark for the next review.

• Write and test five ad variants for one campaign from a single landing page
• Pulling the weekly paid channel report and explaining what actually drove the performance changes
• Figure out why ad spend suddenly stopped working and cost per lead doubled over the last week.