Revenue tracking
Confirm purchases, transaction values, currencies, and deduplication so bidding and reporting are working from trustworthy order data.
E-commerce Google Ads works best when campaign structure, product demand, purchase tracking, feed quality, and margins are viewed together. I focus on acquisition decisions that connect ad spend to what shoppers actually buy.
Strong e-commerce optimization depends on clean purchase data and enough structure to control where spend goes without fragmenting the account beyond what the data can support.
Confirm purchases, transaction values, currencies, and deduplication so bidding and reporting are working from trustworthy order data.
Use search campaigns where product or category intent is strong and message-match can improve conversion efficiency.
Review product titles, categories, identifiers, availability, and campaign grouping so Shopping traffic reflects the store's real catalog priorities.
Evaluate revenue, CPA, ROAS, average order value, and product economics together instead of treating every sale as equally valuable.
Move budget toward proven categories, products, and search themes while limiting spend where demand or economics do not support scale.
Ad traffic should land on relevant product or collection pages with strong mobile usability, clear pricing, availability, and checkout paths.
Purchase tracking, product economics, feed quality, search intent, budget allocation, and conversion-focused landing pages. Revenue data needs to be reliable before automated bidding can be trusted.
No single campaign type is mandatory. Shopping can be valuable when the catalog, product data, margins, and conversion signal support it. The best mix depends on how customers search and what products the store needs to grow.
I can review the account, purchase tracking, product structure, and search demand to identify where spend is helping revenue and where it is leaking.
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