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List of Searchspring Product Recommendations Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
1-800 Wheelchair.com Distribution 10 $1M United States Searchspring Searchspring Product Recommendations Personalization and Product Recommendations 2014 n/a
In 2014, 1-800 Wheelchair.com implemented Searchspring Product Recommendations on its United States e-commerce website. Searchspring Product Recommendations is deployed as the customer-facing personalization layer, operating within the Personalization and Product Recommendations category to surface relevant items during product discovery and browsing. The implementation centers on embedded recommendation widgets and relevance tuning to support onsite merchandising, cross-sell and upsell flows, and contextual product discovery across product detail and category pages. Integration work focused on synchronizing the merchant product catalog and site search index with the Searchspring Product Recommendations runtime, using lightweight web integration patterns common for personalization engines to render recommendations client side and enable merchandising controls. Operational ownership remains with the small internal e-commerce and merchandising group, with configuration and rule-based governance used to adjust relevance and curated placements rather than a formalized multi-team rollout process.
2modern.com Retail 25 $2M United States Searchspring Searchspring Product Recommendations Personalization and Product Recommendations 2014 n/a
In 2014, 2modern.com implemented Searchspring Product Recommendations on its United States retail website. Searchspring Product Recommendations, a Personalization and Product Recommendations solution, was deployed to improve onsite product discovery and merchandising by surfacing related items and cross sell opportunities. The rollout focused on the ecommerce storefront and product detail pages, supporting merchandising and marketing workflows managed by the small retailer's commerce team. The implementation used a client side integration that embedded Searchspring Product Recommendations widgets and recommendation calls into product listing and detail templates, with product catalog feeds and customer browsing signals used to drive personalized suggestions. Configuration and tuning occurred in the vendor console, with configurable recommendation strategies and merchandising rules to adjust ranking and placement for the company's assortments. Operational ownership remained with e commerce and merchandising personnel who managed template updates and recommendation configuration.
378 5TH PHOTO CORP Retail 11 $2M United States Searchspring Searchspring Product Recommendations Personalization and Product Recommendations 2012 n/a
In 2012, 378 5TH PHOTO CORP deployed Searchspring Product Recommendations on its website. The Searchspring Product Recommendations implementation delivered core on-site recommendation widgets and merchandising controls consistent with the Personalization and Product Recommendations category, enabling the retailer to surface related items and enhance storefront search relevance for its ecommerce catalog. The deployment was frontend focused, embedding Searchspring Product Recommendations into the storefront and synchronizing with the merchant product catalog feed to populate SKU level and category level recommendations and support relevance tuning and rule-based merchandising. Operational ownership sat with the small ecommerce and merchandising team, who managed catalog mapping, recommendation rules and relevance adjustments as part of routine storefront operations.
4 All Promos Professional Services 10 $1M United States Searchspring Searchspring Product Recommendations Personalization and Product Recommendations 2023 n/a
In 2023, 4 All Promos deployed Searchspring Product Recommendations on their website. The implementation placed Searchspring Product Recommendations as a front end personalization layer within the company e-commerce storefront, surfacing product level and cross sell recommendations across category, search, and product detail pages. As a 10 person professional services business, the deployment is scoped to the public website storefront rather than a distributed multi site architecture. Configuration centered on out of the box recommendation widgets and a rule based merchandising interface, with catalog ingestion to feed SKU relationships and attribute driven signals. Functional capabilities in use align with the Personalization and Product Recommendations category, including recommendation widgets, configurable ranking rules, and analytics event tracking for click and conversion instrumentation. The deployment uses the Searchspring Product Recommendations solution to support online merchandising and e commerce sales functions. Operational ownership sits with e commerce and marketing workflows, focusing on merchandising rule creation, content QA, and dashboard monitoring for iterative tuning. Integrations are limited to the storefront and catalog feed where implemented, and governance emphasizes staged front end rollout and content review processes managed through the Searchspring Product Recommendations admin console.
4md Medical Solutions Distribution 10 $1M United States Searchspring Searchspring Product Recommendations Personalization and Product Recommendations 2016 n/a
In 2016, 4md Medical Solutions implemented Searchspring Product Recommendations on their website. Searchspring Product Recommendations is deployed as a personalization layer within the company storefront, classified under Personalization and Product Recommendations, and serves as the primary product recommendation engine for online merchandising and cross-sell workflows. The implementation configures recommendation widgets across product detail pages, category listings, and cart-level touchpoints, leveraging product feed ingestion and storefront integration to map SKUs and attributes into the recommendation model. Configuration and relevance tuning are managed through Searchspring controls and merchandising rules, enabling catalog-level sorting, related item suggestions, and basic A/B style testing of recommendation variants, while operational ownership remains focused on e-commerce merchandising and order conversion activities.
Utilities 201 $30M United States Searchspring Searchspring Product Recommendations Personalization and Product Recommendations 2024 n/a
Professional Services 10 $1M United States Searchspring Searchspring Product Recommendations Personalization and Product Recommendations 2017 n/a
Distribution 58 $5M United States Searchspring Searchspring Product Recommendations Personalization and Product Recommendations 2013 n/a
Distribution 200 $35M United States Searchspring Searchspring Product Recommendations Personalization and Product Recommendations 2019 n/a
Distribution 20 $4M United States Searchspring Searchspring Product Recommendations Personalization and Product Recommendations 2021 n/a
Showing 1 to 10 of 689 entries

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FAQ - APPS RUN THE WORLD Searchspring Product Recommendations Coverage

Searchspring Product Recommendations is a Personalization and Product Recommendations solution from Searchspring.

Companies worldwide use Searchspring Product Recommendations, from small firms to large enterprises across 21+ industries.

Organizations such as U-Haul International, Inc., Peet’s Coffee, Stemcell Technologies, Farmers Trading and Snipes USA are recorded users of Searchspring Product Recommendations for Personalization and Product Recommendations.

Companies using Searchspring Product Recommendations are most concentrated in Retail, Leisure and Hospitality and Life Sciences, with adoption spanning over 21 industries.

Companies using Searchspring Product Recommendations are most concentrated in United States, Canada and New Zealand, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Searchspring Product Recommendations across Americas, EMEA, and APAC.

Companies using Searchspring Product Recommendations range from small businesses with 0-100 employees - 81.42%, to mid-sized firms with 101-1,000 employees - 15.67%, large organizations with 1,001-10,000 employees - 2.76%, and global enterprises with 10,000+ employees - 0.15%.

Customers of Searchspring Product Recommendations include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Searchspring Product Recommendations customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Personalization and Product Recommendations.