Beauty supply retailer, Maryland

They asked for ads. The constraint was knowing their customers and their calendar.

What they asked for

Google Ads.

The store treated every customer the same, but its sales data showed a small group of buyers driving a large share of revenue.
Buying was concentrated on predictable days, and Sundays sold far less than staffing assumed.
The store was barely visible in search, and its products weren't in Google Shopping.

Illustrative: the shape of the finding, not the client's figures

Sales data analysis from the store's POS.
Distinct buyer groups, including highest-value buyers and salon professionals, each with its own campaigns.
Promotions timed for the day before peak buying days.
Google Merchant Center connected for Shopping visibility.
Local search fixes.
Email and SMS automations: win-back, replenishment, and loyalty.
A recommendation to staff Sundays lighter, based on actual sales patterns.

We don't publish outcome figures for this project. We only publish results that come from a client's own data, with their agreement.

The takeaway

The request was “run ads.” The opportunity was putting marketing spend and payroll where sales actually happen.

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