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Most Shopify stores I audit are wasting ad spend because of broken tracking. Meta can't optimize for sales it can't see. Before you raise your budget, check three things. 1) Does your Purchase event fire once per order? 2) Is the Conversions API on with deduplication? 3) Is your Event Match Quality above 6? On a fashion brand, fixing this plus rebuilding the campaigns brought retargeting down to $4 to $8 per purchase. Want me to check your store? Send me the link.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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What's the worst ad account mistake you have ever seen? Mine is simple. A store was spending every day, but the pixel was never firing on the purchase event. Ads looked busy, clicks looked good, and sales looked random, because nothing was actually being measured. We fixed tracking first, then the real winners and losers showed up in one week. Most ad problems are not creative problems. They are measurement problems hiding behind good looking dashboards. Before you raise budget or kill an ad, check what your pixel is actually reporting. What mistake have you seen cost a business the most? #MetaAds #Ecommerce #DigitalMarketing
From the creative side, the costly one is an ad that promises one thing and a page that says another. The ad gets blamed, the page never does. Your tracking-first point still sits above it though: no data, no honest verdict on either.
I'm testing a $79 report for Shopify merchants who want to see exactly what changed between their original product CSV and a proposed price-update file. It separates intended price changes from changes to other fields, so you can review both before deciding what to do next.
Here's a simple synthetic example: a mug's price changes from $20 to $22 as intended, but the proposed CSV also blanks its Vendor and changes its Status from active to draft. The report lists those differences separately from the price change. This is an invented demonstration, not client work or a customer result.
The proposed $79 report covers up to 1,000 matching products, with one row and one default variant per product, using supported columns only. It uses deterministic comparison with AI-assisted explanations.
This is a read-only comparison. It does not access your store, execute an import, correct files or certify that an import is safe.
Have both CSV files ready for an upcoming price update? Message me on Contra with your product count and intended change, and let me know whether you would request the report at $79 if scope, availability and terms can be confirmed. Start with a description only; don't send confidential files or store access. An inquiry does not place an order or request payment.
Catching accidental changes outside the price column is the part a plain spreadsheet compare never shows clearly. How are you testing the $79 price, DMs to merchants or a landing page?
Before a Shopify store goes live, the design is usually done. The checks are not.
• Test the checkout with a real order, end to end
• Test the contact and newsletter forms — do the messages actually arrive?
• Open the product pages on a phone and check the load time
• Check that the automated order and abandoned-checkout emails actually send
Automation fails quietly. Nobody gets an error message. The order email just never arrives, and the store owner finds out from a customer.
Which check do store owners skip most often?
Test the checkout with a real order, end to end, is the one that saves launches. Which check do you see skipped most often?