List of UpSellit Customers
Up Sell It
5655 Lindero Canyon Rd,
Westlake Village, 91362-4016, CA,
United States
Westlake Village, 91362-4016, CA,
United States
1 805-384-6974
Professional Services
10
$1M
Since 2010, our global team of researchers has been studying UpSellit 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 UpSellit 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 UpSellit for Personalization and Product Recommendations include: Total Wireless United States, a United States based Communications organisation with 2000 employees and revenues of $1.20 billion, Shutterstock, a United States based Professional Services organisation with 1715 employees and revenues of $935.0 million, Oneplus India, a India based Retail organisation with 1100 employees and revenues of $500.0 million, Beachbody, a United States based Leisure and Hospitality organisation with 355 employees and revenues of $419.0 million, Ravensburger Germany, a Germany based Manufacturing organisation with 745 employees and revenues of $256.0 million and many others.
Contact us if you need a completed and verified list of companies using UpSellit, 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 UpSellit 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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Beachbody | Leisure and Hospitality | 355 | $419M | United States | UpSellit | UpSellit | Personalization and Product Recommendations | 2024 | n/a |
In 2024, Beachbody deployed UpSellit for Personalization and Product Recommendations on its public website to deliver personalized product discovery and on-site merchandising. The implementation places UpSellit within Beachbody.com page flows to surface recommendations and targeted offers in product detail areas and cart-level interactions, leveraging standard recommendation widgets, session-based behavioral rules, and creative templates common to the Personalization and Product Recommendations category.
Beachbody configured UpSellit to support ecommerce merchandising and digital marketing workflows, with governance led by commerce and marketing stakeholders who manage recommendation rules, creative variants, and staged site rollouts. UpSellit integrates at the front-end site layer and operates alongside Beachbody.com commerce flows to centralize recommendation logic and experimental A/B controls, enabling the digital team to iterate on commodity-level personalization and product recommendation strategies.
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Byte | Healthcare | 575 | $127M | United States | UpSellit | UpSellit | Personalization and Product Recommendations | 2022 | n/a |
In 2022, Byte deployed UpSellit on its website to support Personalization and Product Recommendations across its consumer healthcare digital channels. The deployment positioned UpSellit to serve Byte marketing and ecommerce business functions, instrumenting personalized product discovery and on site merchandising without disclosure of prior platform specifics.
The UpSellit implementation emphasizes standard Personalization and Product Recommendations capabilities, including onsite product recommendations, dynamic content targeting, segmentation and rule based personalization, campaign management and A/B testing workflows. Configuration focuses on recommendation templates, merchandising rules tied to product catalog signals, and campaign scheduling to control customer experience variations across product pages and cart experiences.
Integration work was executed against Byte web touchpoints, embedding UpSellit placements into product detail pages, cart and checkout experiences and session aware content zones. Data flows center on product catalog alignment and session context to surface catalog aware recommendations and personalized content, implemented via client side placement and server side configuration patterns appropriate for an ecommerce website.
Operational ownership sits with digital marketing and ecommerce teams, with governance for personalization rules, content approval and campaign rollout managed through centralized configuration and iterative testing cycles. The rollout approach emphasized page level phased deployments and campaign level controls to manage risk and tune recommendation logic while keeping marketing teams responsible for ongoing rule updates and test orchestration.
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Cigars International | Retail | 370 | $115M | United States | UpSellit | UpSellit | Personalization and Product Recommendations | 2023 | n/a |
In 2023, Cigars International deployed UpSellit on its ecommerce website to enable targeted onsite merchandising and recommendation logic. The deployment uses UpSellit in the Personalization and Product Recommendations category to drive product-level suggestions and support ecommerce merchandising and conversion activities.
The implementation centers on UpSellit’s recommendation capabilities, configured to deliver on-page product recommendations, cart and checkout upsell prompts, and behaviorally targeted merchandising panels. Configuration work emphasized rule-based cross-sell and upsell logic, session-based personalization, and A/B experimentation to tune creative and placement.
UpSellit was embedded into Cigars International’s site delivery layer, collecting browsing and cart signals to surface contextually relevant products across product detail pages, category pages, and the cart. The integration model is focused on real-time recommendation rendering on the website, with data flows supporting behavioral segmentation and dynamic product feeds.
Operational ownership sits with ecommerce merchandising and digital marketing teams, who manage recommendation rules, creative, and test plans through UpSellit’s control surfaces. The rollout pattern emphasized staged page coverage and iterative testing, enabling business users to adjust recommendation logic without engineering changes. Cigars International uses UpSellit Personalization and Product Recommendations to align onsite personalization with merchandising and marketing workflows.
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Cluey Learning Australia | Education | 100 | $16M | Australia | UpSellit | UpSellit | Personalization and Product Recommendations | 2025 | n/a |
In 2025 Cluey Learning Australia implemented UpSellit to add on-site personalization capabilities and tailored product recommendations on its public website. UpSellit is deployed as a solution in the Personalization and Product Recommendations category to deliver dynamic content and recommendation workflows tied to visitor behavior.
The implementation leverages core UpSellit capabilities including real-time recommendation widgets, behavioral targeting engines, rule-based merchandising controls, and an experimentation A/B testing console. Configuration emphasized catalog-driven recommendations and session-based personalization, with templated placements on homepage, category pages, and course detail pages, and an administrative interface for tuning algorithms and merchandising rules.
Integration is focused on the website front-end, using standard tag-based deployment and a product or course feed to populate recommendation slots, while analytics events are collected to refine models and support experimentation. Operational ownership is aligned to digital marketing and customer experience teams, with staged rollouts and experiment governance to manage personalization rules, content variants, and ongoing model adjustments.
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CPAP.com | Retail | 65 | $35M | United States | UpSellit | UpSellit | Personalization and Product Recommendations | 2025 | n/a |
In 2025, CPAP.com implemented UpSellit on its website. UpSellit is deployed as an application in the Personalization and Product Recommendations category to provide onsite product discovery and merchandising support for CPAP.com's ecommerce business function, and UpSellit is integrated into the storefront experience to surface contextually relevant product offers.
The deployment leverages typical personalization capabilities, including real time product recommendations, cart and checkout cross sell, behavioral targeting, rules based merchandising, A B testing, and analytics instrumentation. Configuration and operational ownership sit with merchandising and marketing teams, and the implementation consumes product catalog feeds and session event streams to drive recommendation logic across homepage, product detail pages, and cart workflows.
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Consumer Packaged Goods | 460 | $232M | Italy | UpSellit | UpSellit | Personalization and Product Recommendations | 2025 | n/a |
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Retail | 25 | $10M | United States | UpSellit | UpSellit | Personalization and Product Recommendations | 2022 | n/a |
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Retail | 200 | $75M | United States | UpSellit | UpSellit | Personalization and Product Recommendations | 2021 | n/a |
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Professional Services | 150 | $12M | United States | UpSellit | UpSellit | Personalization and Product Recommendations | 2021 | n/a |
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Consumer Packaged Goods | 30 | $2M | United States | UpSellit | UpSellit | Personalization and Product Recommendations | 2022 | n/a |
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Showing 1 to 10 of 42 entries
Buyer Intent: Companies Evaluating UpSellit
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| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD UpSellit Coverage
UpSellit is a Personalization and Product Recommendations solution from UpSellit.
Companies worldwide use UpSellit, from small firms to large enterprises across 21+ industries.
Organizations such as Total Wireless United States, Shutterstock, Oneplus India, Beachbody and Ravensburger Germany are recorded users of
UpSellit for Personalization and Product Recommendations.
Companies using UpSellit are most concentrated in Communications, Professional Services and Retail, with adoption spanning over 21 industries.
Companies using UpSellit are most concentrated in United States, India and Germany, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of UpSellit across Americas, EMEA, and APAC.
Companies using UpSellit range from small businesses with 0-100 employees - 54.76%, to mid-sized firms with 101-1,000 employees - 38.1%, large organizations with 1,001-10,000 employees - 7.14%, and global enterprises with 10,000+ employees - 0%.
Customers of UpSellit 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 UpSellit 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.