List of RevenueHunt Customers
RevenueHunt
66 W Flagler St 900,
Miami, 33130, FL,
United States
Miami, 33130, FL,
United States
1 786-310-1492
Professional Services
10
$1M
Since 2010, our global team of researchers has been studying RevenueHunt 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 RevenueHunt 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 RevenueHunt for Personalization and Product Recommendations include: Caribou Coffee Company, a United States based Retail organisation with 6831 employees and revenues of $1.20 billion, Olaplex, a United States based Consumer Packaged Goods organisation with 174 employees and revenues of $704.0 million, V-Guard India, a India based Manufacturing organisation with 3133 employees and revenues of $630.0 million, SchoolMaskPack™, a Thailand based Consumer Packaged Goods organisation with 5000 employees and revenues of $600.0 million, Calida Switzerland, a Switzerland based Retail organisation with 1900 employees and revenues of $254.0 million and many others.
Contact us if you need a completed and verified list of companies using RevenueHunt, 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 RevenueHunt 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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Aavalabs | Consumer Packaged Goods | 25 | $5M | Finland | RevenueHunt | RevenueHunt | Personalization and Product Recommendations | 2020 | n/a |
In 2020 Aavalabs implemented RevenueHunt on its public website to deliver customer facing personalization and recommendation capabilities. This deployment of RevenueHunt is aligned with the Personalization and Product Recommendations category and was scoped to on-site merchandising and customer experience for Aavalabs ecommerce pages.
The RevenueHunt implementation focuses on typical category capabilities including real time product recommendation rendering, rule based personalization, and segment driven content variation. Configuration work centered on catalog mapping and recommendation rule sets, with frontend widgets embedded into product listing and product detail pages to surface recommended items and personalized banners.
Operational coverage is the company website, with the implementation maintained by Aavalabs web and marketing teams and instrumented to serve product suggestions to site visitors. Integration patterns are limited to frontend embedding on ecommerce pages and ingestion of product catalog data to fuel recommendation models, consistent with Personalization and Product Recommendations deployments.
Governance and rollout were organized around centralized content and rule ownership by marketing, with technical deployment managed by the website team. The configuration model emphasized iterative rule updates and segment adjustments rather than broad systems integration, reflecting the 25 person company operational scale.
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Absolute Nutrition | Retail | 30 | $6M | India | RevenueHunt | RevenueHunt | Personalization and Product Recommendations | 2021 | n/a |
In 2021 Absolute Nutrition implemented RevenueHunt, deploying RevenueHunt on its public ecommerce site to deliver Personalization and Product Recommendations. The implementation targets the storefront at https://www.absolutenutrition.co.in and the customer product discovery layer, scoped for a 30 employee retail operation with a web first deployment model.
Configuration focused on core recommendation and personalization capabilities typical of Personalization and Product Recommendations platforms, including product recommendation engines, onsite personalization rule sets, and campaign management interfaces. Catalog ingestion and attribute mapping were configured to enable contextual recommendations at browsing and cart stages, with a mix of rule based targeting and model driven suggestion flows to support cross sell and upsell workflows.
Operational ownership is assigned to ecommerce and marketing teams, who manage campaign creation, relevance tuning, and content governance through RevenueHunt consoles. Rollout used staged updates to the storefront with ongoing monitoring of recommendation behavior and catalog alignment, while IT maintained the client side integration and site tagging to ensure stable delivery and version control.
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ACAI Outdoorwear | Retail | 25 | $8M | United Kingdom | RevenueHunt | RevenueHunt | Personalization and Product Recommendations | 2024 | n/a |
In 2024, ACAI Outdoorwear deployed RevenueHunt on its website, implementing RevenueHunt as a Personalization and Product Recommendations application to support e-commerce merchandising and site-level customer engagement. The implementation positions RevenueHunt to deliver personalized product suggestions and on-site merchandising controls tied to the retailer experience.
Configuration focused on typical Personalization and Product Recommendations capabilities, including a product recommendations engine, behavioral segmentation, real-time personalization logic, recommendation widgets embedded in product detail and category pages, and rule-based merchandising controls. The deployment included configuration of targeting rules and campaign schedules to control which recommendations surface for defined customer segments and product contexts.
Technical integration was executed at the website layer, with RevenueHunt embedded in the front-end to serve recommendation widgets and personalization decisions in real time, and with APIs used for catalog and session data exchange. Operational coverage centered on the e-commerce channel, with day to day ownership expected from marketing and merchandising functions to configure campaigns and tune recommendation rules.
Governance was structured around phased rollout and iterative refinement, using controlled experiments and campaign approval workflows to manage content and targeting changes. The implementation narrative documents ACAI Outdoorwear RevenueHunt Personalization and Product Recommendations alignment to shopping experience, merchandising workflows, and marketing operations on the company website.
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Adriana Papell | Leisure and Hospitality | 10 | $1M | United States | RevenueHunt | RevenueHunt | Personalization and Product Recommendations | 2023 | n/a |
In 2023, Adriana Papell deployed RevenueHunt on its public ecommerce website to deliver Personalization and Product Recommendations for its online storefront. The implementation centers on RevenueHunt as the application providing onsite personalization capabilities tied to product discovery and merchandising, with the company name Adriana Papell, the Year 2023, and the application RevenueHunt explicitly in scope.
The deployment configures standard category modules including algorithmic product recommendation widgets for the homepage, product detail pages, and cart upsell placements, combined with manual merchandising controls and segmentation rules. RevenueHunt is used to manage recommendation logic, tune business rules, and serve personalized content through client-side tags and server-side APIs consistent with personalization best practices.
Integration work focuses on ingesting the ecommerce product catalog and event-level site telemetry, enabling recommendations to use real-time inventory and behavioral signals. Operational coverage is site-wide on adriannapapell.com and touches commerce, merchandising, and digital marketing workflows, with recommendations orchestrated through the RevenueHunt dashboard and fed into the storefront presentation layer.
Governance and rollout followed a lightweight operational model appropriate for a 10 person organization, emphasizing iterative tuning, dashboard monitoring, and rule-based overrides for merchandising control. The implementation frames RevenueHunt as the primary Personalization and Product Recommendations engine for Adriana Papell, supporting ongoing optimization of onsite product discovery and merchandising workflows.
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Advanced Orthomolecular Research | Distribution | 60 | $68M | Canada | RevenueHunt | RevenueHunt | Personalization and Product Recommendations | 2022 | n/a |
In 2022, Advanced Orthomolecular Research implemented RevenueHunt on its website to power on-site personalization and product recommendation workflows. RevenueHunt is deployed as the customer facing personalization engine within the aor.ca commerce layer and is classified in the Personalization and Product Recommendations category.
The implementation configures product recommendation widgets across category listing pages, product detail pages, and the shopping cart, and leverages behavioral segmentation and recommendation ranking logic consistent with Personalization and Product Recommendations functionality. Configuration emphasizes rule based merchandising, catalog-driven recommendation feeds, and campaign scheduling to support targeted onsite experiences.
Technically, RevenueHunt is embedded into the site front end using client side JavaScript and server side APIs to receive product catalog data and customer event streams, enabling real time recommendation rendering. Operational coverage centers on the e commerce and marketing functions, aligning site merchandising, content personalization, and campaign targeting on the aor.ca web estate in Canada.
Governance is structured around a centralized content and product catalog, segmentation rules, and campaign approval workflows, with iterative A B testing and model tuning processes to refine recommendation behavior. The implementation narrative focuses on system architecture, module configuration, integration points, and the cross functional operational scope tied to RevenueHunt.
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Distribution | 13 | $2M | United States | RevenueHunt | RevenueHunt | Personalization and Product Recommendations | 2021 | n/a |
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Professional Services | 10 | $1M | United States | RevenueHunt | RevenueHunt | Personalization and Product Recommendations | 2020 | n/a |
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Retail | 20 | $2M | Canada | RevenueHunt | RevenueHunt | Personalization and Product Recommendations | 2025 | n/a |
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Leisure and Hospitality | 10 | $2M | Indonesia | RevenueHunt | RevenueHunt | Personalization and Product Recommendations | 2022 | n/a |
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Professional Services | 10 | $2M | Singapore | RevenueHunt | RevenueHunt | Personalization and Product Recommendations | 2021 | n/a |
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Showing 1 to 10 of 527 entries
Buyer Intent: Companies Evaluating RevenueHunt
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| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD RevenueHunt Coverage
RevenueHunt is a Personalization and Product Recommendations solution from RevenueHunt.
Companies worldwide use RevenueHunt, from small firms to large enterprises across 21+ industries.
Organizations such as Caribou Coffee Company, Olaplex, V-Guard India, SchoolMaskPack™ and Calida Switzerland are recorded users of
RevenueHunt for Personalization and Product Recommendations.
Companies using RevenueHunt are most concentrated in Retail, Consumer Packaged Goods and Manufacturing, with adoption spanning over 21 industries.
Companies using RevenueHunt are most concentrated in United States, India and Thailand, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of RevenueHunt across Americas, EMEA, and APAC.
Companies using RevenueHunt range from small businesses with 0-100 employees - 86.91%, to mid-sized firms with 101-1,000 employees - 11.01%, large organizations with 1,001-10,000 employees - 2.09%, and global enterprises with 10,000+ employees - 0%.
Customers of RevenueHunt 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 RevenueHunt 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.