Storefront signals
Pull claims, proof points, product context, objections, and customer language into one starting point.
For Shopify brands running Meta ads
Find your next Meta ad test from storefront evidence.
autoprune watches the signals that changed this week, recommends the next test, and keeps every launch tied to a reason.
The workflow spine
The page should prove one clean operating loop.
Ranked angles
Turn the strongest signals into a short list of testable Meta angles with a clear reason.
Approved tests
Review video-forward cards, approve what deserves a launch, and reject weak or off-brand ideas.
Results memory
Log what happened after manual launch so the next batch starts from evidence instead of recall.
Next recommendation
Carry the learning forward into the next weekly decision: scale, refresh, prune, or test a new angle.
Why this exists
The unit of value is not one ad. It is the weekly test loop.
Creative ideas live in notes, Slack, Figma, and someone's memory.
Results live in Meta without the reason a test existed.
Product context changes faster than the testing plan.
The next batch starts from vibes instead of last week's learning.
Reactive weekly plan
The plan changes when the signal changes.
autoprune is the upstream decision layer before creative analytics: it watches what shifted, explains the recommendation, and keeps weak angles out of the batch.
Signal found
The product, claim, objection, or customer language that makes the test worth considering.
Angle ranked
A decision-ready test brief with format, placement, hook, rationale, proof source, and review state.
Learning captured
Manual launch marker, performance fields when available, and the qualitative note that should inform next week.
Week 22
This week's test batch
Built from what changed since the last run.- Run
Barrier routine proof
Reviews and homepage copy both moved toward fewer steps.
Brief one creator video around a simpler routine. - Rewrite
Ceramide proof check
Ingredient proof is stronger, but the wording is too clinical.
Soften the claim before it enters the batch. - Hold
Discount-first opener
Last run and brand notes both point away from price-first creative.
Keep it out until the offer needs a dedicated test.
Approve, edit, or skip before anything launches.
Proof format
Every future case study should read like a decision record.
autoprune does not have mature customer outcome proof yet. The page still needs the container for it: brand, signal, test decision, and learning, without inventing lift numbers before pilots earn them.
The product or offer being tested
The storefront, customer, or ad-learning input
Approve, edit, reject, launch, prune, or scale
What the next recommendation should remember
Best fit / not fit
Built for founder-operators with a real weekly testing habit.
Best fit
- Shopify or ecommerce brand running Meta as a real weekly channel
- Founder or operator close to product, creative, and growth decisions
- One to three products or offers that need clearer test direction
- Wants a repeatable testing loop before adding more ad-ops complexity
Not a fit
- Pre-launch brand with no active testing habit
- Looking for guaranteed performance lift
- Only wants finished AI ad images
- Wants full Meta launch automation today
Early product
Built close to ecommerce workflows, with human approval in the loop.
autoprune is early. It should not promise guaranteed ROAS, replace your media buyer, or launch spend without you.
The product is shaped around a practical founder workflow: turn product and brand context into a cleaner weekly testing system, then keep the learning visible.
Resource cluster
Practical guides for cleaner Meta testing decisions.
ChecklistReadComparisonReadFAQReadTemplateReadGlossaryRead
Weekly Meta Ads Pruning Checklist
A weekly review loop for deciding what to scale, watch, refresh, or prune.
AI Ad Generator vs Creative Testing Workflow
When more creative volume helps, and when the weekly testing workflow needs fixing first.
Creative Fatigue FAQ
How to tell whether performance decay is fatigue, weak creative, or something else.
Shopify Meta Ads Test Plan Template
A copyable template for turning storefront signals into creative tests.
Meta Ads Pruning Glossary
Clear definitions for prune, pause, watch, refresh, scale, fatigue, angles, hooks, and storefront signals.
Start the loop
Run your first weekly test batch.
No Meta login required for the first run. Start with brand and product context, then review the cards before anything launches.
Prefer a founder conversation first? Leave an email and Catalina will follow up with a quick fit check.