List of In Cart Upsell Customers
In Cart Upsell & Cross-Sell
888 Biscayne Blvd, Suite 505,
Miami, 33132, FL,
United States
Miami, 33132, FL,
United States
n/a
Professional Services
20
$2M
Since 2010, our global team of researchers has been studying In Cart Upsell 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 In Cart Upsell 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 In Cart Upsell for Personalization and Product Recommendations include: Los Angeles Apparel, a United States based Retail organisation with 1920 employees and revenues of $700.0 million, Farmacorp, a Bolivia based Retail organisation with 3450 employees and revenues of $450.0 million, Waldo`s Dollar Mart, a Mexico based Professional Services organisation with 1500 employees and revenues of $300.0 million, Summer Fridays, a United States based Consumer Packaged Goods organisation with 150 employees and revenues of $150.0 million, LootCrate, a United States based Consumer Packaged Goods organisation with 150 employees and revenues of $130.0 million and many others.
Contact us if you need a completed and verified list of companies using In Cart Upsell, 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 In Cart Upsell 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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100 Cherries | Distribution | 3 | $1M | Germany | In Cart Upsell | In Cart Upsell | Personalization and Product Recommendations | 2020 | n/a |
In 2020, 100 Cherries deployed In Cart Upsell on its public website, https://www.mellow.care/. In Cart Upsell is a Personalization and Product Recommendations application used to surface add-ons and cross-sell suggestions at the point of purchase. The implementation is scoped to a single ecommerce site in the distribution sector, focused on cart-level merchandising and checkout conversion. With a three person organization the deployment is site-centric, lightweight, and managed within the existing web storefront.
The deployment leverages In Cart Upsell capabilities for in-cart recommendation widgets, rule-based offer configuration, and client-side UI injection to present targeted product suggestions during checkout. Configuration work centered on catalog mapping, offer rules, and front-end placement, with governance consolidated to the small commerce team responsible for merchandising and order capture. The implementation emphasizes operational simplicity, keeping integrations minimal and contained to the website front-end rather than broad backend system orchestration.
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200 Degrees Coffee | Leisure and Hospitality | 200 | $25M | United Kingdom | In Cart Upsell | In Cart Upsell | Personalization and Product Recommendations | 2022 | n/a |
In 2022, 200 Degrees Coffee implemented In Cart Upsell on its website, deploying the Personalization and Product Recommendations application to the ecommerce cart and checkout experience. The implementation was delivered as an on site integration that injected recommendation logic into the storefront presentation layer, surfacing contextual offers at cart and checkout and aligning with online merchandising and sales touchpoints. The deployment emphasized client facing recommendation rendering rather than backend order processing.
In Cart Upsell was configured to surface rule based and behaviorally informed cross sell and upsell offers, support product bundling and order value threshold prompts, and manage offer templates through merchandising workflows. Operational coverage focused on the ecommerce and digital marketing teams for the United Kingdom storefront, with governance framed around catalog rules, offer templates, and controlled updates to on site promotions. The configuration centered on in page recommendation logic and merchandising control, aligning In Cart Upsell with the companys product recommendation and personalization processes.
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350 Limited | Professional Services | 10 | $1M | Thailand | In Cart Upsell | In Cart Upsell | Personalization and Product Recommendations | 2019 | n/a |
In 2019, 350 Limited implemented In Cart Upsell on its public website. The deployment uses In Cart Upsell to surface cart level product recommendations, classified under Personalization and Product Recommendations. Implementation is delivered as a storefront embed, running as a client side script that surfaces offers during cart and checkout interactions. The scope of the implementation is the company website, supporting online commerce and merchandising for the small professional services firm.
Configuration emphasized in cart offer sequencing, rule based recommendation logic and on page user interface placement, consistent with Personalization and Product Recommendations capabilities. Management and governance were executed through the company web operations and merchandising workflow, aligning cart offers with product catalog updates. The solution operates at the storefront runtime, integrating directly with the website cart and checkout interaction rather than deep back office system links. For a 10 person company the architecture privileges lightweight front end personalization and runtime recommendation delivery.
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Aavalabs | Consumer Packaged Goods | 25 | $5M | Finland | In Cart Upsell | In Cart Upsell | Personalization and Product Recommendations | 2020 | n/a |
In 2020, Aavalabs deployed In Cart Upsell on its website to deliver cart-level personalization and automated product suggestions. Aavalabs implemented In Cart Upsell in the Personalization and Product Recommendations category to surface targeted upsell and cross-sell offers within the checkout experience, focused on the company ecommerce storefront in Finland. The implementation reflects a configuration scale appropriate for a 25 employee consumer packaged goods firm with a single web property.
Configuration centers on common Personalization and Product Recommendations capabilities such as cart-level triggers, dynamic offer rendering, and configurable recommendation logic, with In Cart Upsell used to manage offer rules and display templates. The technical footprint is implemented in the website runtime, with client-side embedding surfacing offers in the checkout flow and inputs drawn from cart contents and product metadata. Governance and operational ownership are concentrated with marketing and ecommerce stakeholders who control rule sets and staged updates to the storefront, while monitoring and iterative tuning occur through the In Cart Upsell console.
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Accu-Cut | Manufacturing | 34 | $4M | United States | In Cart Upsell | In Cart Upsell | Personalization and Product Recommendations | 2019 | n/a |
In 2019, Accu-Cut deployed In Cart Upsell as a Personalization and Product Recommendations solution on its public ecommerce site. In Cart Upsell was embedded into the website cart flow to present in-cart upsell and cross-sell offers at the point of purchase, aligning recommendation surface with checkout intent.
Configuration emphasized rule-driven recommendation logic and dynamic offer presentation tied to cart contents and product attributes, enabling contextual prompts during checkout. Operational scope covered ecommerce and online sales functions, with governance centered on iterative rule management and content curation to align product bundling and merchandising workflows on the customer facing cart and checkout pages.
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Retail | 10 | $1M | United States | In Cart Upsell | In Cart Upsell | Personalization and Product Recommendations | 2020 | n/a |
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Manufacturing | 150 | $9M | Mexico | In Cart Upsell | In Cart Upsell | Personalization and Product Recommendations | 2020 | n/a |
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Distribution | 10 | $1M | United States | In Cart Upsell | In Cart Upsell | Personalization and Product Recommendations | 2018 | n/a |
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Leisure and Hospitality | 7 | $2M | Australia | In Cart Upsell | In Cart Upsell | Personalization and Product Recommendations | 2022 | n/a |
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Retail | 10 | $1M | United States | In Cart Upsell | In Cart Upsell | Personalization and Product Recommendations | 2022 | n/a |
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Showing 1 to 10 of 378 entries
Buyer Intent: Companies Evaluating In Cart Upsell
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| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD In Cart Upsell Coverage
In Cart Upsell is a Personalization and Product Recommendations solution from In Cart Upsell.
Companies worldwide use In Cart Upsell, from small firms to large enterprises across 21+ industries.
Organizations such as Los Angeles Apparel, Farmacorp, Waldo`s Dollar Mart, Summer Fridays and LootCrate are recorded users of
In Cart Upsell for Personalization and Product Recommendations.
Companies using In Cart Upsell are most concentrated in Retail, Professional Services and Consumer Packaged Goods, with adoption spanning over 21 industries.
Companies using In Cart Upsell are most concentrated in United States, Bolivia and Mexico, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of In Cart Upsell across Americas, EMEA, and APAC.
Companies using In Cart Upsell range from small businesses with 0-100 employees - 88.89%, to mid-sized firms with 101-1,000 employees - 10.32%, large organizations with 1,001-10,000 employees - 0.79%, and global enterprises with 10,000+ employees - 0%.
Customers of In Cart Upsell 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 In Cart Upsell 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.