List of Because Customers
Since 2010, our global team of researchers has been studying Because 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 Because 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 Because for Personalization and Product Recommendations include: Jones Road Beauty, a United States based Consumer Packaged Goods organisation with 41 employees and revenues of $160.0 million, Snocks Germany, a Germany based Retail organisation with 120 employees and revenues of $83.0 million, Serenity Kids, a United States based Consumer Packaged Goods organisation with 25 employees and revenues of $20.0 million, Vinyl Me, Please, a United States based Retail organisation with 25 employees and revenues of $13.0 million, Duke Cannon, a United States based Retail organisation with 100 employees and revenues of $12.0 million and many others.
Contact us if you need a completed and verified list of companies using Because, 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 Because 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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Duke Cannon | Retail | 100 | $12M | United States | Because | Because | Personalization and Product Recommendations | 2023 | n/a |
In 2023 Duke Cannon implemented Because as its personalization layer on the company website for Personalization and Product Recommendations. Because is used on the Duke Cannon website to surface product recommendations and drive on-site personalization across catalog pages, product detail pages, and purchase journey touchpoints. This deployment positions Because to support e-commerce merchandising and customer experience personalization for the retailer.
The implementation reflects a lightweight web integration model, with Because rendering recommendation widgets client side and leveraging a centralized recommendation engine to compute behavioral and affinity driven suggestions. Operational ownership is aligned to e-commerce merchandising and marketing functions, which configure personalization segments, merchandising rules, and campaign variants through Because, and rollout was applied incrementally across page types to control exposure and refine targeting logic.
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Every Man Jack | Retail | 80 | $8M | United States | Because | Because | Personalization and Product Recommendations | 2024 | n/a |
In 2024, Every Man Jack implemented Because on their website to deliver on-site personalization and product recommendations. Because is deployed to address the Personalization and Product Recommendations category, supporting individualized product suggestions and content personalization across the customer experience on the storefront.
The implementation uses standard category capabilities within Because, including a product recommendation engine, behavioral targeting and segmentation, a rules engine for contextual personalization, and experimentation controls for A B testing of personalized experiences. Configuration focuses on mapping product attributes to recommendation models and defining audience segments and personalization rules that marketing and e commerce teams can manage.
Deployment is consistent with a cloud hosted SaaS model and is instrumented on the site through client side embedding to capture real time user events. The setup relies on a product catalog sync via feed or API and integrates with site level analytics and tagging to inform recommendation inputs, without named third party integrations disclosed.
Operational ownership sits with e commerce and marketing functions, with merchandising workflows updated to expose product metadata and personalization flags to Because. Governance is organized around rule management, QA for personalized placements, and dashboard driven monitoring and tuning to maintain live recommendation behavior.
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Fasthouse | Consumer Packaged Goods | 39 | $4M | United States | Because | Because | Personalization and Product Recommendations | 2024 | n/a |
In 2024 Fasthouse implemented Because on its public website to provide personalized shopping and product discovery capabilities under the Personalization and Product Recommendations category. Because is deployed as the primary on-site personalization engine for Fasthouse, integrated directly into the storefront to surface tailored product suggestions and contextual merchandising.
The deployment is implemented as a storefront-level personalization layer, using Because to render recommendation modules such as product carousels, related items, and category-level suggestions within pages. Configuration relies on Because’s recommendation engine and rule sets to evaluate session signals and product context in real time, consistent with typical Personalization and Product Recommendations architectures.
Functional coverage centers on product recommendation workflows and merchandising controls, with modules configured for on-page recommendations, session-based personalization, and campaign-driven content rules. Operational scope includes the e-commerce and marketing functions, with visible deployment across product detail pages, the homepage, and the shopping cart to influence discovery and cross-sell experiences.
Governance and rollout were structured through Because’s control interface, using rule management and phased activation to stage modules incrementally across the storefront. Fasthouse operationalized merchandising decisioning inside the Because dashboard, enabling marketing and e-commerce staff to manage recommendation rules and A B test variants without changes to core site code.
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Consumer Packaged Goods | 41 | $160M | United States | Because | Because | Personalization and Product Recommendations | 2024 | n/a |
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Consumer Packaged Goods | 25 | $20M | United States | Because | Because | Personalization and Product Recommendations | 2025 | n/a |
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Retail | 120 | $83M | Germany | Because | Because | Personalization and Product Recommendations | 2025 | n/a |
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Consumer Packaged Goods | 30 | $3M | United States | Because | Because | Personalization and Product Recommendations | 2024 | n/a |
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Retail | 30 | $3M | United Kingdom | Because | Because | Personalization and Product Recommendations | 2024 | n/a |
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Retail | 25 | $13M | United States | Because | Because | Personalization and Product Recommendations | 2024 | n/a |
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Buyer Intent: Companies Evaluating Because
Discover Software Buyers actively Evaluating Enterprise Applications
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