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Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

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Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

List of Because Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
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.
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.
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.
Jones Road Beauty Consumer Packaged Goods 41 $160M United States Because Because Personalization and Product Recommendations 2024 n/a
In 2024, Jones Road Beauty deployed Because as its Personalization and Product Recommendations solution on its public website. Because is configured to deliver onsite recommendation widgets, catalog driven product suggestions, session based personalization, and rule driven merchandising, using catalog ingestion and real time behavioral signals to surface relevant items. The implementation is operated by e-commerce and marketing teams, focused on product detail pages, category landing pages, and cart level suggestions, with configuration handled through Because's administrative console for recommendation rules and content overrides. Governance includes staged rollouts, A/B testing workflows, and control flags to manage activation across the site and fallback behavior while maintaining merchandising oversight and content tagging.
Serenity Kids Consumer Packaged Goods 25 $20M United States Because Because Personalization and Product Recommendations 2025 n/a
In 2025, Serenity Kids deployed Because for Personalization and Product Recommendations on its public e-commerce site. Serenity Kids deployed Because, a Personalization and Product Recommendations solution, to support e-commerce merchandising and marketing functions, embedding Because's client-side personalization components to enable product discovery and dynamic onsite recommendations. The implementation emphasized storefront-layer capabilities typical of the Personalization and Product Recommendations category, including rule and model driven product recommendations, segmentation based targeting, personalized category and product page content, and campaign configuration for experience variants. Operational scope is the website and the work is oriented to e-commerce, marketing, and product teams, with governance defined by centralized campaign rules, experience rollout sequencing, and on-platform analytics for monitoring and iterative tuning.
Retail 120 $83M Germany Because Because Personalization and Product Recommendations 2025 n/a
Consumer Packaged Goods 30 $3M United States Because Because Personalization and Product Recommendations 2024 n/a
Retail 30 $3M United Kingdom Because Because Personalization and Product Recommendations 2024 n/a
Retail 25 $13M United States Because Because Personalization and Product Recommendations 2024 n/a
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Buyer Intent: Companies Evaluating Because

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FAQ - APPS RUN THE WORLD Because Coverage

Because is a Personalization and Product Recommendations solution from Because.

Companies worldwide use Because, from small firms to large enterprises across 21+ industries.

Organizations such as Jones Road Beauty, Snocks Germany, Serenity Kids, Vinyl Me, Please and Duke Cannon are recorded users of Because for Personalization and Product Recommendations.

Companies using Because are most concentrated in Consumer Packaged Goods and Retail, with adoption spanning over 21 industries.

Companies using Because are most concentrated in United States and Germany, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Because across Americas, EMEA, and APAC.

Companies using Because range from small businesses with 0-100 employees - 88.89%, to mid-sized firms with 101-1,000 employees - 11.11%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 0%.

Customers of Because 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 Because 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.