Plan local ad campaigns around your stores

Kite treats each store as its own market, because the people, competitors, and searches around one location can look nothing like those around another. Before it suggests a dollar of spend, it builds a short profile of each store's area.

That profile draws on a few sources:

• Your listings. Your Google Maps listings show each store's address, category, rating, and number of reviews. A store with two hundred reviews and a 4.8 rating can lean on that in its ads. A newer store with twelve reviews needs a different reason to visit.
• Nearby competitors. When Kite runs a Growth Grader assessment for a local business, it finds the businesses in your Google Maps category within about 25 kilometers of your three most-reviewed stores. That tells you who you're up against at each of those locations, which isn't always the same company.
• Local search results. Kite can run a Google search as if it were made from a specific neighborhood or zip code. It can see who shows up for "bakery near me" when the search comes from the area around your suburban shopping center rather than from downtown.
• Search demand. Kite's built-in search data shows how many people search for terms like "custom birthday cakes" and how that demand rises and falls across the year.
• Competitors' ads. Kite searches Meta's Ad Library by keyword to see what other businesses in your category are running, including the offers and images they use. It can also look up a specific nearby competitor's ads from its website address.

For the bakery, this research might show that downtown has three coffee shops selling pastries within a few blocks, while the suburban shop is the only bakery in its area that takes custom cake orders. That difference shapes everything that comes next.

The right radius for a store is the distance most of its customers already travel to get there. In a dense city that's often one to three miles, in the suburbs it's often five to ten miles, and in rural areas it can be fifteen miles or more. A store people plan a special trip for, like a furniture showroom or a specialty bakery known for wedding cakes, can justify a wider radius than one people drop into on the way to work.

Kite proposes a radius for each store based on its area profile and on what you know about your customers. If your point-of-sale system records customer zip codes, or your loyalty program keeps addresses, share that data and Kite uses it to see where your customers actually come from. Those records are better evidence than any rule of thumb.

Kite also watches for overlap. If two of your stores are four miles apart and each gets a five-mile radius, they compete for the same people and you pay twice to reach them. Kite might shrink both circles, or target the shared area with one ad that names both stores.

On Meta, Kite looks up the exact location options while it plans, so the plan names each area the way Meta Ads Manager does. With Google Ads connected, Kite reads the locations your current campaigns already target, so it can show you where they're wider or narrower than the plan.

Each store gets an offer and a message that fit the people around it. For the bakery, that might mean:

• Downtown: a weekday lunch combo, aimed at office workers between 11 a.m. and 2 p.m.
• Suburbs: order a custom birthday cake by Thursday for weekend pickup, aimed at parents within eight miles.
• Campus: a late-afternoon study-break deal during the semester, paused over the summer.

Kite writes the ads in your brand voice from real customer evidence, such as your reviews and the lines from your current ads that already earn clicks. For Google, it writes responsive search ads with headlines that each make sense on their own, because Google mixes and matches them. For Facebook and Instagram, it writes several versions of the main text and headline for each ad, with the hook in the first sentence. Every line is checked against the platform's character limits, and each line notes the review or ad it came from so you can see why Kite wrote it.

Kite can make the images and short vertical videos too, using photos from your own website before generating anything new. A video for the suburban store could show a real cake from your site with the store's name and the order deadline.

An ad that promises a birthday cake in your suburban shop should land on a page about that shop, with its address, hours, a map, and the cake order form. Sending local ads to your homepage makes people hunt for the nearest location, and many of them won't bother.

Kite builds a location page for each store, with local business structured data so search engines understand the address, hours, and phone number. It can also build a store locator if you don't have one. When an ad needs its own page, such as the cake order deadline, Kite builds a landing page for that offer at that store.

On a site Kite hosts, it publishes these pages once you approve them, and its built-in analytics count the clicks on each page's call, directions, and order buttons. If your site runs on Webflow, Kite publishes through your connected Webflow account.

Kite brings you a plan for each store that your team can build in the ad platforms without guessing. Each plan names the campaign, the radius and location targeting, the audience, the schedule, the ads, the landing page, and a suggested budget with the point at which you'd stop or scale it.

Your team creates and launches the campaigns in Google Ads and Meta Ads Manager. Kite reads both accounts but doesn't launch or change campaigns in them, so the person who controls the budget is the one who presses go. If you ask, Kite also saves the Google ads in a layout ready to import, once you give it the campaign and ad group names.

Kite measures local ads by store, comparing each campaign's results with that store's sales rather than adding everything into one total. With Google Ads and Meta Ads connected, it reads spend, clicks, and results for each campaign over any date range. Meta's results can be broken down by placement, age, and device, which helps explain why one store's ads are working and another's aren't.

Clicks only tell part of the story, because the goal is a visit. Share your weekly sales by store, from a spreadsheet or your point-of-sale export, and Kite sets them next to the ad results for the same weeks. It might find that the downtown lunch ads earned plenty of clicks but lunch sales stayed flat, while the suburban cake ads earned fewer clicks and a clear rise in weekend orders.

When you have several stores, Kite can plan a cleaner test. It picks a few comparable stores, runs the ads around some of them and holds the others back for a few weeks, then compares sales between the two groups. If the stores with ads sold noticeably more than the stores without, the ads are bringing in visits you wouldn't have had anyway.

Kite records what it learns about each store in your team's knowledge base. The next round starts from those results: a tighter radius downtown, a bigger budget for the cake campaign, and the campus ads back on in September.