List of Recommendify Customers

Recommendify

n/a,
Dublin, D01,
Ireland

https://www.recommendifyapp.com/

n/a

Professional Services

$1M

Since 2010, our global team of researchers has been studying Recommendify 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 Recommendify 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 Recommendify for Personalization and Product Recommendations include: Tobii Dynavox, a Sweden based Life Sciences organisation with 461 employees and revenues of $96.0 million, Nobull, a United States based Manufacturing organisation with 200 employees and revenues of $78.0 million, Newbury Comics, a United States based Retail organisation with 264 employees and revenues of $59.0 million, Jolyn, a United States based Retail organisation with 100 employees and revenues of $35.0 million, Love Your Melon, a United States based Retail organisation with 250 employees and revenues of $35.0 million and many others.

Contact us if you need a completed and verified list of companies using Recommendify, 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 Recommendify 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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Customer	Industry	Empl.	Revenue	Country	Vendor	Application	Category	When	SI	Insight Source
Ampersand Shops	Retail	13	$2M	United States	Recommendify	Recommendify	Personalization and Product Recommendations	2015	n/a	In 2015, Ampersand Shops implemented Recommendify on its website. Recommendify is deployed as a Personalization and Product Recommendations solution to serve contextual product suggestions across the retailer's e-commerce storefront. The implementation targets on-site recommendation surfaces including homepage, product detail pages, and category browsing to influence merchandising and conversion flows. Deployment is centered on a lightweight client-side integration, with Recommendify rendering recommendation widgets through a JavaScript snippet and consuming a synchronized product catalog feed for item metadata and availability. Functional capabilities implemented include product-to-product collaborative recommendations, trending and best sellers widgets, merchandising rules for curated placements, and personalization tuning workflows common to product recommendation platforms. Configuration appears to be managed through Recommendify's management console and front-end template integration to align recommendations with Ampersand Shops merchandising logic. Operational ownership spans the e-commerce and marketing functions, who handle catalog mapping, merchandising rule sets, and ongoing tuning of recommendation models. Governance includes content vetting and rule-based overrides for promotional periods, with front-end integration maintained within the retailer's web codebase. This implementation positions Ampersand Shops Recommendify Personalization and Product Recommendations as the primary on-site recommendation layer for its retail website.
Areaware	Retail	15	$1M	United States	Recommendify	Recommendify	Personalization and Product Recommendations	2015	n/a	In 2015, Areaware implemented Recommendify on their public website. Areaware deployed Recommendify, a Personalization and Product Recommendations application, to deliver onsite product recommendations and personalized product discovery for its e commerce storefront. Recommendify was embedded in the storefront via a client side JavaScript snippet and served as a recommendation layer within the website rendering pipeline. Functional modules include real time recommendation widgets for collection and product detail pages, algorithmic recommendations driven by onsite browsing and purchase signals, product feed ingestion, and merchandising controls for rule based ranking and widget configuration. Configuration work concentrated on widget placement, ranking rules, and template mapping in the storefront user interface. Operational governance is handled by Areaware's e commerce and merchandising function, responsible for tuning recommendation rules, managing product catalogue inputs, and maintaining onsite templates. This Areaware Recommendify Personalization and Product Recommendations deployment supports merchandising and onsite discovery use cases while keeping recommendation logic at the client side layer separate from the core commerce flow.
Barmakian Jewelers	Distribution	50	$10M	United States	Recommendify	Recommendify	Personalization and Product Recommendations	2017	n/a	In 2017 Barmakian Jewelers implemented Recommendify as an on-site personalization layer. Barmakian Jewelers implemented Recommendify for Personalization and Product Recommendations to support online merchandising, product discovery, and personalized storefront experiences on its e-commerce website. The deployment uses Recommendify embedded in the customer-facing site to deliver category aligned recommendation modules such as related items, cross sell and personalized product suggestions, with configurable merchandising rules and session based profiling. Configuration and operational ownership sits with e-commerce merchandising and marketing functions, which manage recommendation rules, creative placement and phased rollouts across product detail pages and shopping flows.
	Retail	10	$1M	United States	Recommendify	Recommendify	Personalization and Product Recommendations	2015	n/a
	Retail	10	$1M	United States	Recommendify	Recommendify	Personalization and Product Recommendations	2018	n/a
	Professional Services	10	$1M	United States	Recommendify	Recommendify	Personalization and Product Recommendations	2017	n/a
	Consumer Packaged Goods	30	$10M	United States	Recommendify	Recommendify	Personalization and Product Recommendations	2019	n/a
	Retail	100	$10M	United Kingdom	Recommendify	Recommendify	Personalization and Product Recommendations	2017	n/a
	Retail	57	$6M	United States	Recommendify	Recommendify	Personalization and Product Recommendations	2017	n/a
	Retail	100	$35M	United States	Recommendify	Recommendify	Personalization and Product Recommendations	2019	n/a

Showing 1 to 10 of 35 entries

Buyer Intent: Companies Evaluating Recommendify

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FAQ - APPS RUN THE WORLD Recommendify Coverage

Recommendify is a Personalization and Product Recommendations solution from Recommendify.

Companies worldwide use Recommendify, from small firms to large enterprises across 21+ industries.

Organizations such as Tobii Dynavox, Nobull, Newbury Comics, Jolyn and Love Your Melon are recorded users of Recommendify for Personalization and Product Recommendations.

Companies using Recommendify are most concentrated in Life Sciences, Manufacturing and Retail, with adoption spanning over 21 industries.

Companies using Recommendify are most concentrated in Sweden and United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Recommendify across Americas, EMEA, and APAC.

Companies using Recommendify range from small businesses with 0-100 employees - 82.86%, to mid-sized firms with 101-1,000 employees - 17.14%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 0%.

Customers of Recommendify 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 Recommendify 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.

List of Recommendify Customers

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Buyer Intent: Companies Evaluating Recommendify

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Q1. What is Recommendify used for?

Q2. Who uses Recommendify for Personalization and Product Recommendations?

Q3. Which companies use Recommendify?

Q4. What is the industry breakdown of companies using Recommendify?

Q5. What is the country breakdown of companies using Recommendify?

Q6. What is the breakdown by employee size of companies using Recommendify?

Q7. What is the breakdown by revenue of companies using Recommendify?

Q8. How can I get the full list of companies using Recommendify?