Referral Candy is a company active in the advertising services industry. Its founders are Dinesh Raju and Zach Cheng. It is based in Singapore. It is known for its specialization in referral marketing and programs. It is known to be an effective eCommerce software that ensures the incentivization of referrals. ReferralCandy ensures effective word-of-mouth marketing through several ways such as automated invitations, custom rewards, website features pay per performance. It also gives users access to key metrics to gain more knowledge about their performance. It also helps eliminate suspicious transactions and self-referrals. It is available for integration with the user’s existing marketing stack.
1,694
websites using ReferralCandy
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Websites using ReferralCandy by countrymarket share · top 8 countries
🇺🇸United States
🇬🇧United Kingdom
🇮🇹Italy
🇨🇦Canada
🇦🇺Australia
🇩🇪Germany
🇮🇳India
🇫🇷France
0%6.3%13%19%25%
Websites using ReferralCandy by industrydetected industries
Marketing & Advertising22%
Shopping20%
Technology & Computing17%
Fashion & Beauty15%
Food & Drink13%
Health & Fitness12%
Websites using ReferralCandy
showing 25 of 1,694| Website | Country | Industry | Size | Founded | |
|---|---|---|---|---|---|
| 🇺🇸US | Technology & Computing | 11-50 | 2016 | ||
| 🇺🇸US | Hardware & Electronics | 51-200 | 2012 | ||
| 🇺🇸US | Food & Drink | 11-50 | 2020 | ||
| 🇺🇾UY | Software Development | 1-10 | 2018 | ||
| 🇺🇸US | Print & Publishing | 51-200 | 1897 | ||
| 🇺🇸US | Technology & Computing | 11-50 | 2012 | ||
| 🇩🇰DK | Marketing & Advertising | 1-10 | 2015 | ||
| 🇺🇸US | Technology & Computing | 201-500 | 2012 | ||
| 🇺🇸US | Entertainment | 11-50 | 2003 | ||
| 🇺🇸US | Technology & Computing | 201-500 | 2005 | ||
| 🇫🇷FR | Software Development | 51-200 | 2016 | ||
| - | Software Development | 1-10 | - | ||
| 🇬🇧GB | Software Development | 1-10 | - | ||
| - | Software Development | 11-50 | 2013 | ||
| 🇮🇳IN | Society | 51-200 | 2021 | ||
| 🇦🇺AU | - | 1-10 | - | ||
| 🇸🇬SG | Marketing & Advertising | 11-50 | - | ||
| 🇩🇪DE | Fashion & Beauty | 51-200 | 2016 | ||
| 🇺🇸US | Technology & Computing | 51-200 | 2014 | ||
| 🇮🇷IR | Education | 51-200 | 2016 | ||
| 🇺🇸US | Software Development | 51-200 | 2015 | ||
| 🇺🇸US | Technology & Computing | 51-200 | 2014 | ||
| 🇺🇸US | Technology & Computing | 1-10 | 2014 | ||
| 🇮🇳IN | Education | 11-50 | 2008 | ||
| 🇺🇸US | Technology & Computing | 1001-5000 | 2005 |
Showing 25 of 1,694 websitesGet the full list →
Frequently asked
What is ReferralCandy?›
ReferralCandy is a user-friendly referral marketing platform that helps businesses create, manage, and optimize their referral programs. By leveraging the power of word-of-mouth marketing, ReferralCandy aims to increase customer acquisition, revenue, and brand awareness.
How does ReferralCandy's referral program work?›
ReferralCandy's referral program works by rewarding customers who refer their friends and contacts to your business. When someone makes a successful referral, both the referrer and the referred friend receive rewards, such as discounts or store credits. This incentive-based system encourages people to spread the word about your products, leading to increased brand exposure and sales.
Can I customize my referral program with ReferralCandy?›
Yes, ReferralCandy offers various customization options. You can create your program's branding, choose your reward types and values, set up custom email templates, and customize referral messaging to align with your brand's identity and goals.
What platforms and e-commerce integrations does ReferralCandy support?›
ReferralCandy supports various platforms, including Shopify, WooCommerce, BigCommerce, Magento, and many others. It also provides a universal JavaScript eCommerce integration, enabling businesses to integrate with any custom platform via their API.
How do I track the success of my referral program?›
ReferralCandy provides a comprehensive dashboard that helps you track key metrics such as referral sales, campaign performance, and user data. The platform also offers in-depth reports and analytics to evaluate your referral program's success and make data-driven decisions for optimization.
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