List of Searchspring Product Recommendations Customers
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Since 2010, our global team of researchers has been studying Searchspring Product Recommendations customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Searchspring Product Recommendations for Personalization and Product Recommendations from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Searchspring Product Recommendations for Personalization and Product Recommendations include: U-Haul International, Inc., a United States based Retail organisation with 19500 employees and revenues of $4.23 billion, Peet’s Coffee, a United States based Leisure and Hospitality organisation with 5000 employees and revenues of $1.49 billion, Stemcell Technologies, a Canada based Life Sciences organisation with 1800 employees and revenues of $1.30 billion, Farmers Trading, a New Zealand based Retail organisation with 4000 employees and revenues of $1.00 billion, Snipes USA, a United States based Retail organisation with 3500 employees and revenues of $850.0 million and many others.
Contact us if you need a completed and verified list of companies using Searchspring Product Recommendations, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Searchspring Product Recommendations customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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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.
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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.
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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.
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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.
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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.
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Utilities | 201 | $30M | United States | Searchspring | Searchspring Product Recommendations | Personalization and Product Recommendations | 2024 | n/a |
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Professional Services | 10 | $1M | United States | Searchspring | Searchspring Product Recommendations | Personalization and Product Recommendations | 2017 | n/a |
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Distribution | 58 | $5M | United States | Searchspring | Searchspring Product Recommendations | Personalization and Product Recommendations | 2013 | n/a |
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Distribution | 200 | $35M | United States | Searchspring | Searchspring Product Recommendations | Personalization and Product Recommendations | 2019 | n/a |
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Distribution | 20 | $4M | United States | Searchspring | Searchspring Product Recommendations | Personalization and Product Recommendations | 2021 | n/a |
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Buyer Intent: Companies Evaluating Searchspring Product Recommendations
Discover Software Buyers actively Evaluating Enterprise Applications
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