List of SwiftERM Customers
London, W1W 7LT,
United Kingdom
Since 2010, our global team of researchers has been studying SwiftERM 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 SwiftERM 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 SwiftERM for Personalization and Product Recommendations include: Eves & Gray UK, a United Kingdom based Retail organisation with 15 employees and revenues of $3.0 million, CM Hair & Beauty UK, a United Kingdom based Distribution organisation with 10 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using SwiftERM, 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 SwiftERM 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 | Insight Source |
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CM Hair & Beauty UK | Distribution | 10 | $1M | United Kingdom | SwiftERM | SwiftERM | Personalization and Product Recommendations | 2022 | n/a | In 2022, CM Hair & Beauty UK implemented SwiftERM in the Personalization and Product Recommendations category to deliver perpetual individualised product-selection emails for its e-commerce channel. The deployment targeted the retailer's online marketing stack and aimed to improve repeat purchase rates through individualized email communication across the United Kingdom. SwiftERM was integrated with Adobe Magento to operationalize continuous recommendation-driven emails, using the SwiftERM email personalization capability to populate product-selection content from on-site signals. The implementation configured automated recommendation templates and email triggers tied to catalog and order events, enabling ongoing orchestration of individualized messaging without manual selection of products. Operational scope concentrated on e-commerce marketing and repeat purchase workflows for CM Hair & Beauty UK, with governance focused on template configuration and email cadence controls within SwiftERM to align marketing processes to automated recommendations. The vendor case study reports attributed sales of 8,326.78 in 30 days and annual attributed sales of 9,360.45 since installation, figures shown as of 28 May 2023. | |
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Eves & Gray UK | Retail | 15 | $3M | United Kingdom | SwiftERM | SwiftERM | Personalization and Product Recommendations | 2022 | n/a | In 2022, Eves & Gray UK implemented SwiftERM to deliver predictive personalised recommendations as part of its Personalization and Product Recommendations strategy for its WooCommerce storefront. The deployment focused on ecommerce marketing use cases for a 15 person footwear retailer, aligning product recommendation outputs with email campaigns and onsite merchandising to drive marketing engagement and conversion. SwiftERM was configured to operate its email product recommendations module, inferred from reported case study metrics, and to generate behaviourally driven, product level suggestions based on customer interactions. The implementation used SwiftERM’s recommendation engine to map purchase and browsing signals to personalized product lists, with configuration work focused on recommendation rules, catalog mapping, and email template insertion points. Integration work connected SwiftERM to the WooCommerce product catalog and order data feed, synchronising SKU, pricing and recent purchase history to ensure the recommendation models had current ecommerce context. Operational coverage centered on the marketing and ecommerce function, with the retailer using the SwiftERM application to power email sends and marketing-driven product discovery workflows. Governance and rollout were handled by the in-house ecommerce marketing team, who applied the email recommendation module across campaigns in a staged manner to validate engagement. Vendor reported outcomes include an 8.02% click-through rate and £2,280.70 in attributed monthly sales, and the deployment is described as boosting ecommerce marketing engagement and conversion. |
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