Elephone

We built a local SEO programme around Google Maps (Google Business Profile). The core judgement was this: for a seven-store repair chain, the most effective lever is not making the website bigger, but lifting each individual store’s local ranking within its own catchment — turning seven locations into seven independent traffic entry points.

Standardising and Localising Seven Store Listings

We rebuilt all seven Google My Business listings one by one, correcting addresses, phone numbers, opening hours and geographic coordinates, and linking each to the corresponding page on the website. The accuracy of this baseline data determines whether the algorithm is willing to surface a store in local results at all — a coordinate off by even one or two hundred metres can exclude a store from "near me" queries.

On that foundation we maintained a steady supply of genuine photography for each store: repairs in progress, before-and-after device comparisons, the shop interior, and the used handsets and accessories on sale. We also published regular Google Posts covering current offers and services. Both efforts solve the same problem — letting users judge from the results page alone that "this place can fix my device and looks trustworthy", without needing to visit the site.

Covering Local Intent by Service × Area

Repair searches are highly specific. Users do not search "phone repair"; they search "iPhone screen repair Box Hill", "laptop repair near me", "how much to replace a battery". We mapped high-frequency service terms — screen replacement, battery replacement, PC repair, used iPhones, phone accessories — against the suburb names of each store, and worked those combinations into the business categories, service listings, descriptions and matching website pages.

The effect is that each store gets matched precisely on the specific service queries within its own catchment, rather than seven stores competing against each other on the same broad terms.

Review Operations and Trust

In a service that involves handing an expensive device to a stranger, ratings and reviews are close to the only quality signal a customer has — and they are also a significant local ranking factor. We established a complete review programme for Elephone: prompting customers to leave genuine feedback after a repair, and following up on every review — thanking positive ones, and responding publicly to complaints with an explanation of how they were resolved.

With this running, Elephone’s stores held Google ratings between four and five stars and kept their review sections continuously updated. To the algorithm this reads as an active, credible business; to the customer it is the most direct basis for choosing a repair shop.

Taking the Box Hill store as an example, over the three months from June to September 2022: map views rose 156%, direction requests rose 165.4%, phone enquiries rose 106.6%, and website visits rose 49.3%. Breaking down the source of map searches, direct searches for the business name rose 111.5%, while searches for service keywords such as phone repair rose 138.67%.

Three signals in this data deserve separate comment.

First, direction requests grew fastest of all at 165.4%. In local services, requesting directions is the action closest to a completed sale — someone tapping for directions has already decided to go; all that remains is the journey. That this metric outpaced even view growth means what increased was not just exposure, but the number of people who actually walked through the door.

Second, service keyword searches (+138.67%) grew faster than direct brand-name searches (+111.5%). Brand-term growth comes from people who already know Elephone; service-term growth comes from people whose phone just broke and who have no idea where to take it. The latter growing faster means the new traffic was genuinely incremental — new customers rather than returning ones — which is the clearest evidence that the Service × Area keyword coverage was working.

Third, website visits grew noticeably less (49.3%) than every map-side metric. This is not a weakness; it is proof that the local conversion path was working as intended. Users made their decision on the map results page and called or navigated straight to the store, without needing to detour via the website. That eliminated step is exactly where customers used to be lost.

With local rankings lifted across all seven stores, Elephone finally converted its network density into genuine search coverage. Repair orders grew, the used iPhones and accessories displayed on the store listings generated additional purchase enquiries, and ratings held steady between four and five stars, continuously lowering the barrier for new customers.