List of BetterCommerce Engage Customers
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Since 2010, our global team of researchers has been studying BetterCommerce Engage 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 BetterCommerce Engage 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 BetterCommerce Engage for Personalization and Product Recommendations include: The Fragrance Shop Limited, a United Kingdom based Retail organisation with 1200 employees and revenues of $200.0 million, DaMENSCH, a India based Retail organisation with 200 employees and revenues of $12.0 million and many others.
Contact us if you need a completed and verified list of companies using BetterCommerce Engage, 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 BetterCommerce Engage 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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DaMENSCH | Retail | 200 | $12M | India | BetterCommerce | BetterCommerce Engage | Personalization and Product Recommendations | 2023 | n/a |
In 2023, DaMENSCH implemented BetterCommerce Engage to centralize its e-commerce technology and introduce headless commerce capabilities across its India operations. The deployment targeted Personalization and Product Recommendations to enable personalized offers and shorten campaign time-to-live within the retail e-commerce stack.
The implementation used BetterCommerce Engage alongside the vendor's headless commerce platform to deliver recommender and personalized-offer functionality, combining real-time product recommendations and campaign orchestration common to the Personalization and Product Recommendations category. Configuration emphasized centralized offer management, rule-driven and event-driven personalization, and faster campaign provisioning through headless APIs.
Operationally the project consolidated a fragmented WooCommerce tech stack into a unified headless architecture, positioning BetterCommerce Engage as the personalization layer for the public storefront in India. The rollout focused on e-commerce operations, marketing, and merchandising teams to align catalog, pricing, and promotional workflows under a single personalization engine.
Governance changes included centralizing campaign approval and content-to-live processes to reduce manual handoffs and accelerate time-to-market for targeted promotions. The BetterCommerce case study reports approximately 15% revenue growth and roughly 30% reduction in tech cost per order following the implementation of BetterCommerce Engage.
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The Fragrance Shop Limited | Retail | 1200 | $200M | United Kingdom | BetterCommerce | BetterCommerce Engage | Personalization and Product Recommendations | 2020 | n/a |
In 2020 The Fragrance Shop Limited deployed BetterCommerce Engage for Personalization and Product Recommendations as part of an omnichannel headless commerce initiative. The implementation aimed to unify the retailer's 200 plus stores while enabling a Customer 360 profile and AI driven purchase recommendations branded as Fragrance Match.
BetterCommerce Engage was configured to leverage the vendor's recommender and engagement capabilities described in the case materials, implementing an AI driven personalization engine and engagement modules to surface product suggestions across digital touchpoints. The headless architecture exposed commerce and personalization services via APIs to decouple front end experiences from backend commerce logic and to support rapid iteration of recommendation rules and merchandising logic.
Operational coverage extended across e commerce channels and physical store point of sale touchpoints to enable both online and in store personalization, with Customer 360 data used to harmonize behavioral signals and purchase history for more relevant recommendations. Business functions affected included e commerce, merchandising, store operations, and marketing as the recommender outputs were used for product display, promotional targeting, and checkout level suggestions.
Vendor case materials report outcomes tied to the BetterCommerce Engage deployment, including an approximate 62 percent uplift in conversion, a 74 percent increase in orders, and a doubling of site speed. These results were presented alongside module usage for recommender and engagement capabilities in the vendor success story.
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