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Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

List of RevenueHunt Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
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.
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.
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.
Leisure and Hospitality 10 $1M United States RevenueHunt RevenueHunt Personalization and Product Recommendations 2023 n/a
Distribution 60 $68M Canada RevenueHunt RevenueHunt Personalization and Product Recommendations 2022 n/a
Distribution 13 $2M United States RevenueHunt RevenueHunt Personalization and Product Recommendations 2021 n/a
Professional Services 10 $1M United States RevenueHunt RevenueHunt Personalization and Product Recommendations 2020 n/a
Retail 20 $2M Canada RevenueHunt RevenueHunt Personalization and Product Recommendations 2025 n/a
Leisure and Hospitality 10 $2M Indonesia RevenueHunt RevenueHunt Personalization and Product Recommendations 2022 n/a
Professional Services 10 $2M Singapore RevenueHunt RevenueHunt Personalization and Product Recommendations 2021 n/a
Showing 1 to 10 of 526 entries

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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 Goldelucks Australia, Caribou Coffee Company, Olaplex, V-Guard India and SchoolMaskPack™ 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 Australia, United States and India, 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 - 87.07%, to mid-sized firms with 101-1,000 employees - 10.84%, 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.