Part 1: Storefront signal scan

Fill this out before writing new ads.

SignalWhat to captureNotes
Product being testedProduct, bundle, or collection
Core claimWhat the page says the product helps with
ProofReviews, ingredients, materials, demos, results, certifications
Buyer objectionWhat a buyer may hesitate about
Customer languagePhrases from reviews, FAQs, comments, or support
OfferDiscount, bundle, shipping, guarantee, trial, bonus
Price frictionWhy the price may feel high, risky, or confusing
Product frictionSizing, usage, sensitivity, compatibility, setup, timing
Existing creativeAds already live for this product or angle
Current account issueNeed more tests, fatigue, pruning clutter, scaling decision

Part 2: Turn signals into test angles

Create 3 to 5 possible angles. Each angle should be tied to a real signal from the store.

AngleStorefront evidenceBuyer questionHook directionFormatFirst success signal

Examples:

AngleStorefront evidenceBuyer questionHook directionFormatFirst success signal
Ingredient proofPDP repeats two hero ingredients"Does this actually work?"Show the ingredient and the result it supports15-30s videoHigher hook rate than current generic demo
Objection handlingFAQ mentions sensitive skin concerns"Will this irritate me?"Lead with the hesitation, then proofFounder or UGC videoBetter outbound CTR and add-to-cart rate
Routine simplificationStore sells a bundle/routine"Which product should I start with?"Show the 3-step pathCarousel or short videoBetter conversion rate than single-SKU ad

Part 3: Choose the first real test

Do not launch every angle at once if the account cannot learn from it.

If your team is mostly debating whether it needs more creative volume or a cleaner operating loop, read AI Ad Generator vs Creative Testing Workflow before adding more variants to the backlog.

Choose the first test by asking:

  • Which angle is backed by the strongest storefront proof?
  • Which buyer objection appears closest to the purchase decision?
  • Which product or offer matters most this week?
  • Which test can be produced without slowing down the team?
  • Which result would change next week's decision?

Recommended first test:

FieldAnswer
Product or offer
Angle
Evidence from store
Hook
Format
Asset needed
Launch date
Owner
Success signal
Watch signal
Prune signal
Refresh idea

Part 4: Define the weekly decision rules

Before launching, decide how the ad will be reviewed.

Use four buckets:

Scale

The ad has enough signal, supports the current business priority, and is performing better than the account baseline or target.

Watch

The ad is too early or mixed. It needs another review cycle before a major decision.

Refresh

The angle is useful but the execution needs a new hook, visual, proof point, or creator.

Prune

The ad has had a fair test and is adding spend waste or account clutter.

Part 5: Weekly review template

Use this at the end of the week.

QuestionAnswer
What did we launch?
What did we learn?
What scaled?
What needs to be watched?
What needs to be refreshed?
What should be pruned?
What storefront signal should shape the next test?
What is the next test worth running?

Example decision log

Ad or angleDecisionWhyNext action
Ingredient proof videoScaleCPA is below target and CTR is stableKeep live and monitor frequency
Discount-first staticPruneWeak CTR and no purchases after a fair testPause and remove from active review
Sensitive-skin founder videoRefreshStrong early performance, now CTR slippingTest a new first frame and tighter hook
Routine bundle carouselWatchPromising add-to-cart rate, not enough purchase signalRecheck after more spend

Part 6: Copy this into your next weekly meeting

Use this agenda:

  1. Review last week's launched tests.
  2. Mark each ad scale, watch, refresh, or prune.
  3. Identify one fatigue warning.
  4. Identify one storefront signal that has not been tested.
  5. Choose the next test.
  6. Assign the asset owner and launch date.

The point is not to create a bigger spreadsheet. The point is to keep the testing loop moving.