Ranking a hair salon for its city’s core search terms

The context

Norwegian local search is a smaller pool than English, and that changes the maths. Volume is low enough that chasing broad terms is wasted effort, but intent is high enough that a handful of the right queries can fill a booking calendar.

Fredrikstad is also a city where a salon competes with a specific, knowable set of rivals — not an endless national market. That makes the target concrete.

What I was solving

1. 01The profile was not ranking for the Norwegian-language terms that actually precede a booking.
2. 02Services were described in a way that made sense internally but did not match how customers search.
3. 03Traffic that did arrive had no clear path from the listing to an actual booking.

How I did it

1. 01Identified the small set of Norwegian queries with genuine booking intent, and optimised the profile around those rather than translated English terms.
2. 02Restructured the service list so each treatment is discoverable on its own.
3. 03Tightened the route from profile to booking, so a click through to the site lands somewhere that converts.
4. 04Kept reviews arriving steadily — in a small market, recency is visible.

What the data shows

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02 / 03

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Six months of Business Profile performance, including the search terms that surfaced the listing.

Precision over volume

5,023 searches surfaced the profile, and the single strongest term accounted for 1,852 of them. That concentration is the point: in a market this size, winning a few terms outright beats ranking mid-table for many.

823 website clicks from 11,430 views is a healthy ratio for a salon, where a large share of people call or tap directions instead of visiting the site at all.