Start with a baseline. The brand provides roughly 60 days of Shopify analytics and Meta Ads account data: sessions, conversion rate, product and add-to-cart behavior, checkout drop-off, current campaign structure, spend, purchase value and return on ad spend. Read the data before proposing changes.
Audit the store against the documented checklist. Check whether the value proposition is clear on the first screen; the hierarchy runs from headline to value to product to call to action; collections help shoppers find items quickly; product pages include sizing, multiple images, materials, care, shipping, returns and reviews; and every image, menu, variant, button and popup works on a phone screen.
Prioritize friction, not appearances. Tie each fix to a measure: product-page changes to add-to-cart behavior, navigation changes to product discovery, and trust-signal changes to checkout completion. Push changes without measurable targets down the list.
Restructure the ad account into three environments. Cap testing spend so unproven concepts and creatives cannot consume working budget. Put proven products and creatives in a scaling environment. Run retargeting separately for people who visited, engaged, viewed products or purchased, while keeping acquisition focused on new customers.
Use creative as the audience strategy. Run acquisition broad where the creative clearly communicates the customer, product, lifestyle and problem. Vary angles, hooks, formats, products, occasions and customer motivations rather than stacking small interest audiences.
Make scaling a rule, not a calendar event. Increase budgets only after a campaign consistently acquires customers at the brand's target economics. Trigger the first increase using account performance, not the start of a month.
Run a weekly loop: review conversion rate, product performance, add-to-cart and checkout behavior, and traffic sources; test calls to action, offers, creatives and landing pages; keep what the numbers support and drop what they do not.