About our Partner
Our partner is a specialty outdoor retailer that has run stores since 1980 and today operates 34 locations across 14 states. Each store sells ski, snowboard, bike, and watersports gear, plus the service work behind it: tuning, fitting, repair, and rental. Four categories, two opposing seasons, one roof.
Who They Are
A multi-location specialty retailer whose stores change identity with the calendar. In January a mountain-town store is a ski shop; by July the same store is a bike shop, and the sign never changes.
Every location serves a distinct local market, and the retailer manages all 34 listings at scale through a single listings platform.
What They Do
Each store sells and services outdoor gear across four categories that peak in opposite seasons:
- Ski and snowboard gear, sales and full service, in winter.
- Bike and watersports gear, sales and service, in summer.
- Tuning, fitting, repair, and rental year round.
The physical stores are the business. Local search is how a nearby customer finds the right one for the season they are shopping.
The Problem
Every store ran on a single local page that tried to answer every intent at once. Ski rental, snowboard service, bike repair, and watersports all lived on one page in the same market, so a shopper searching for any one of them found a page written for none of them.
The pages were thin and generic. One store page ran about a thousand characters, a price table that never named the city, and the identical table sat on 33 other store pages. Search engines and searchers saw boilerplate, not a local store.
The seasonal, multi-category reality worked against a one-size template. A store that should never surface for ski rental in a warm market, or lead with watersports in a mountain town, was doing exactly that. The local competitor was usually a single-category independent whose entire page was about the one thing the searcher wanted.
The Solution
Multi-location SEO is usually sold as a consistency problem: make every location identical, correctly. Searchbloom went the other way. The work was deliberate divergence, tuned to each market and sequenced against the season, following Searchbloom's proprietary SEO methodology: Authority, Relevancy, and Technology (ART).
- Earned local links every month, each one tied to a specific target location page, with coverage earned editorially rather than placed.
- Ran citation audits across roughly 30 markets to align each store's local footprint with the page it was meant to feed.
- Sequenced the outreach to the season, so each market gained authority in the window when its category was in demand.
- Built each store out from a single local page into intent-specific pages for ski, snowboard, bike, and rental, more than 100 local pages in all, so a search for one intent in a market met a page written for exactly that.
- Sequenced the build and rewrites to the season, ski pages first in October, snowboard through November, and rental pages ahead of the following winter, so each page was ready before its demand peaked.
- Made each page name its city, explain each service for that market's climate, and point to the nearest real places to use the gear, turning a 1,035-character price table into 7,601 characters of city-specific content.
- Removed duplicative LocalBusiness schema that was firing twice on the store pages, and pulled closed locations out of the listings.
- Governed store categories and services across all 34 profiles at once through Uberall, the listings platform, holding the correct categories when the search engine tried to reassign them.
- Tested every network-wide change on two locations first, then rolled it out, so a bad setting could never hit 34 stores at once.
For a seasonal business, the season is the reporting period. A miss in October cannot be recovered in April, so the work was timed to the calendar. The standout proof: one southern market that is not a ski destination, but is full of people who drive to ski, posted the network's strongest result after its page was rewritten to say exactly that, with direction requests up 72.1%.
The Results
Measured across the same 32 store profiles for the winter season (November 1 to February 28) year over year, the network grew total customer actions 25.3% in a down retail environment, with 28 of 32 stores improving at a median gain of 24.0%. The intent-specific store pages carried 179.2% more organic sessions than the winter before. At the channel level, organic revenue across the same window grew 90.4% year over year, on 67.7% more organic transactions.
| Organic Channel (Winter Season) | Prior Year | With Searchbloom | Change |
| Organic revenue | Confidential | Confidential | +90.4% |
| Organic transactions | 4,034 | 6,763 | +67.7% |
| Organic sessions | 344,940 | 583,749 | +69.2% |
Searchbloom runs this partner's organic search end to end, across national, e-commerce, and local, so the channel-wide gains reflect the full engagement. Organic revenue is reported as a year-over-year growth rate.
| Metric (Winter Season) | Prior Year | With Searchbloom | Change |
| Total customer actions | 207,276 | 259,786 | +25.3% |
| Direction requests | 102,771 | 127,738 | +24.3% |
| Calls to stores | 31,639 | 39,387 | +24.5% |
| Website clicks | 72,866 | 92,661 | +27.2% |
| Profile impressions | 5,061,088 | 6,465,530 | +27.7% |
The store service and rental pages that had carried 2,924 organic sessions the winter before carried 8,165 the following winter, a 179.2% lift from the content rewrites.
| Reputation and Recognition | Result |
| Google reviews across the network | 10,022 at a weighted 4.61 stars |
| Stores rated 4.5 stars or higher | 30 of 32 (none below 4.4) |
| Uberall Location Performance Optimization Awards | Six, across two straight quarters |
Uberall recognized the work with three Location Performance Optimization Awards in the first quarter of 2026, Visibility Leader, Engagement Champion, and Local Performance Leader, then awarded the same three again the next quarter. Two consecutive quarters describes a system, not a good quarter.
You Are Much More Than a Client.
