Turning ad performance into faster creative decisions

An interactive tool for comparing creatives and deciding what to test next.

My role

Analyzed Meta Ads performance, reported insights, and decided which creative changes to test next.

The problem

Meta gave me the numbers. Turning them into specific feedback meant jumping between metrics, the videos and the decisions behind them.

What I built

A workspace around my own analytical process: each creative, its characteristics and its customer journey, side by side.

Every ad’s journey Seen→Watched→Clicked→Visited Shopify→Bought

Step 1 of 5

Result

Creative Journey Lab

Saved

+ Add data

Weekly creative reviewToday’s data is in. Add the creatives you want to study.

Add creativesSynced this morning · Meta + Shopify attached

Search creatives, hooks, tags…

This week3 new

Earlier tests4 ads

Creative 422 sec · Studio · missing tracking tag

Compare 3 creatives

Illustrative example · sample numbers

n8n · Morning syncActive · daily at 6:00 AM

WorkflowFrom two platforms to one workspace

Every day, 6:00 AMSchedule trigger6:00

Meta AdsYesterday’s results, per ad4 ads

ShopifyVisits and orders, per ad tag3 tagged

MergeOne row per creative4 rows

CheckMissing tags, zero spend1 flag

SaveSend to the workspace3 creatives

Run log

6:00:00 Started · pulling yesterday

6:00:05 Meta Ads · 4 ads · impressions, 3-sec plays, watch %, outbound clicks · Shopify · 3 tagged ads · visits, carts, orders

6:00:07 Merge · 4 rows, one per creative

6:00:08 Check · Creative 4 had spend but no tracking tag → flagged, store numbers left blank

6:00:09 Saved to the workspace · finished in 9 s

Open the workspace

The goal was simple: spend less time piecing together data, and more time making informed decisions.