Retail Marketing Agency

Retail customers rarely buy in a straight line anymore. They see a social ad, search for the product, check reviews, ask an AI assistant which store nearby has it, and then either buy online or walk into a location, often days later. Each of those steps sits with a different channel, and in most retail organizations with a different team or vendor, which makes it very hard to know what actually drove the sale.

The result is that retail marketing budgets tend to follow whichever channel reports the most credit rather than whichever one moves revenue, while store-level performance, local search visibility, and the customer data sitting in loyalty and point-of-sale systems go underused.

We run retail marketing as one connected program, so the channels that create demand and the systems that capture it work from the same plan and report against the same revenue numbers.

• Paid media across search, social, video, and retail media networks, structured by store market so budget follows the locations and products that actually sell. If you want an outside view of current spend first, start with our PPC and paid media audit.
• Local SEO and location pages for every store, including Google Business Profile management, so shoppers searching nearby find the right location with accurate hours and details. Our multi-location SEO page covers this in depth.
• AI search visibility, so your stores and products are named when shoppers ask ChatGPT, Gemini, or Google's AI Overviews where to buy.
• CRM, email, SMS, and loyalty programs that turn first purchases into repeat visits.
• Seasonal and promotional campaign planning that coordinates national offers with local execution at each store.
• Measurement that connects online activity to store visits, calls, and sales wherever the data allows, so decisions are based on revenue rather than clicks.

We studied this directly, measuring AI Overview exposure across 18 US multi-location retail brands and 9.58 million keywords, and found that domain authority does not reliably predict how much of a retailer's search demand now sits under an AI answer. You can read the full findings in how much of retail search now sits under an AI Overview.

For retailers, the practical takeaway is that store pages, product information, and reviews need to be structured so AI engines can cite them, which is why AI visibility is built into our retail work through our generative engine optimization practice.

Our retail experience includes a partnership with 7-Eleven Canada that has run for more than ten years across the Canadian convenience retail footprint, along with work for Spence Diamonds, Samsung, and Stonz Wear. Across that work, the pattern we see most often is not a shortage of channels or budget, but marketing that is planned nationally and executed locally without a shared plan or a shared view of results.

Our guide to omnichannel marketing for multi-location retail lays out the framework we use, and our franchise and multi-location marketing page covers how we coordinate corporate and store-level marketing.