ReferralCandy

ReferralCandy tracking and usage

Websites using ReferralCandy by countrymarket share
21%
๐Ÿ‡บ๐Ÿ‡ธUS
5.8%
๐Ÿ‡ฌ๐Ÿ‡งGB
4.2%
๐Ÿ‡ฎ๐Ÿ‡นIT
2.8%
๐Ÿ‡จ๐Ÿ‡ฆCA
2.2%
๐Ÿ‡ฆ๐Ÿ‡บAU
1.9%
๐Ÿ‡ฉ๐Ÿ‡ชDE
1.8%
๐Ÿ‡ฎ๐Ÿ‡ณIN
1.5%
๐Ÿ‡ซ๐Ÿ‡ทFR
Websites using ReferralCandy by industrymarket share ยท top 6 industries
Marketing & Advertising
22%
Shopping
20%
Technology & Computing
17%
Fashion & Beauty
15%
Food & Drink
13%
Health & Fitness
12%
0%6.3%13%19%25%
Download report

We track 1,694 websites using ReferralCandy, along with their country, traffic, industry and platforms. There are 363 websites using ReferralCandy in United States.

Filter by country
๐Ÿ‡บ๐Ÿ‡ธ United States363 sites
๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom99 sites
๐Ÿ‡ฎ๐Ÿ‡น Italy71 sites
๐Ÿ‡จ๐Ÿ‡ฆ Canada48 sites
๐Ÿ‡ฆ๐Ÿ‡บ Australia37 sites
๐Ÿ‡ฉ๐Ÿ‡ช Germany32 sites
๐Ÿ‡ฎ๐Ÿ‡ณ India30 sites
๐Ÿ‡ซ๐Ÿ‡ท France25 sites
๐Ÿ‡ช๐Ÿ‡ธ Spain22 sites
๐Ÿ‡ธ๐Ÿ‡ฌ Singapore20 sites
๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands9 sites
๐Ÿ‡ฎ๐Ÿ‡ช Ireland7 sites
๐Ÿ‡ง๐Ÿ‡ท Brazil6 sites
๐Ÿ‡ฎ๐Ÿ‡ท Iran, Islamic Republic of6 sites
๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa5 sites
๐Ÿ‡ท๐Ÿ‡บ Russian Federation5 sites
๐Ÿ‡ป๐Ÿ‡ณ Viet Nam5 sites
๐Ÿ‡ฆ๐Ÿ‡ช United Arab Emirates4 sites
๐Ÿ‡ฉ๐Ÿ‡ฐ Denmark4 sites
๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong4 sites
๐Ÿ‡ต๐Ÿ‡ฑ Poland4 sites
๐Ÿ‡ฒ๐Ÿ‡พ Malaysia4 sites
๐Ÿ‡ต๐Ÿ‡ญ Philippines4 sites
๐Ÿ‡ณ๐Ÿ‡ฟ New Zealand3 sites
๐Ÿ‡ง๐Ÿ‡ฌ Bulgaria3 sites
๐Ÿ‡ฎ๐Ÿ‡ฑ Israel3 sites
๐Ÿ‡บ๐Ÿ‡พ Uruguay3 sites
๐Ÿ‡จ๐Ÿ‡ญ Switzerland3 sites
๐Ÿ‡ฐ๐Ÿ‡ช Kenya3 sites
๐Ÿ‡ท๐Ÿ‡ธ Serbia3 sites
๐Ÿ‡จ๐Ÿ‡ณ China3 sites
๐Ÿ‡ง๐Ÿ‡ฉ Bangladesh3 sites
๐Ÿ‡ฌ๐Ÿ‡ท Greece2 sites
๐Ÿ‡จ๐Ÿ‡ฑ Chile2 sites
๐Ÿ‡ฏ๐Ÿ‡ต Japan2 sites
๐Ÿ‡ป๐Ÿ‡จ Saint Vincent and the Grenadines2 sites
๐Ÿ‡ท๐Ÿ‡ด Romania2 sites
๐Ÿ‡ณ๐Ÿ‡ฌ Nigeria2 sites
๐Ÿ‡ฎ๐Ÿ‡ฒ Isle of Man2 sites
๐Ÿ‡ช๐Ÿ‡ช Estonia2 sites
๐Ÿ‡ง๐Ÿ‡ช Belgium2 sites
๐Ÿ‡น๐Ÿ‡ผ Taiwan, Province of China2 sites
๐Ÿ‡ธ๐Ÿ‡ช Sweden2 sites
๐Ÿ‡ฎ๐Ÿ‡ฉ Indonesia2 sites
๐Ÿ‡ต๐Ÿ‡ฆ Panama2 sites
๐Ÿ‡ฑ๐Ÿ‡น Lithuania2 sites
๐Ÿ‡จ๐Ÿ‡ฟ Czechia2 sites
๐Ÿ‡ต๐Ÿ‡ฐ Pakistan2 sites
๐Ÿ‡ช๐Ÿ‡ฌ Egypt2 sites
๐Ÿ‡น๐Ÿ‡ท Turkey2 sites
๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico1 sites
๐Ÿ‡ฐ๐Ÿ‡ท Korea, Republic of1 sites
๐Ÿ‡ณ๐Ÿ‡ด Norway1 sites
๐Ÿ‡ธ๐Ÿ‡ฐ Slovakia1 sites
๐Ÿ‡ป๐Ÿ‡ฌ Virgin Islands, British1 sites
๐Ÿ‡ฌ๐Ÿ‡ช Georgia1 sites
๐Ÿ‡ต๐Ÿ‡น Portugal1 sites
๐Ÿ‡จ๐Ÿ‡ท Costa Rica1 sites
๐Ÿ‡ฑ๐Ÿ‡ฐ Sri Lanka1 sites
๐Ÿ‡ฑ๐Ÿ‡ป Latvia1 sites
๐Ÿ‡น๐Ÿ‡ญ Thailand1 sites
๐Ÿ‡ฎ๐Ÿ‡ธ Iceland1 sites
๐Ÿ‡จ๐Ÿ‡ด Colombia1 sites
๐Ÿ‡ฆ๐Ÿ‡ท Argentina1 sites

About ReferralCandy

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 userโ€™s existing marketing stack.

Websites using ReferralCandy

showing 25 of 1,694
WebsiteCountryTrafficIndustry
hackernoon.com๐Ÿ‡บ๐Ÿ‡ธUSTop 10KTechnology & Computing
lockly.com๐Ÿ‡บ๐Ÿ‡ธUSTop 50KHardware & Electronics
ryzesuperfoods.com๐Ÿ‡บ๐Ÿ‡ธUSTop 50KFood & Drink
quadlayers.com๐Ÿ‡บ๐Ÿ‡พUYTop 50KSoftware Development
success.com๐Ÿ‡บ๐Ÿ‡ธUSTop 50KPrint & Publishing
getmailbird.com๐Ÿ‡บ๐Ÿ‡ธUSTop 50KTechnology & Computing
influencermarketinghub.com๐Ÿ‡ฉ๐Ÿ‡ฐDKTop 50KMarketing & Advertising
instapage.com๐Ÿ‡บ๐Ÿ‡ธUSTop 50KTechnology & Computing
readwrite.com๐Ÿ‡บ๐Ÿ‡ธUSTop 50KEntertainment
softwareadvice.com๐Ÿ‡บ๐Ÿ‡ธUSTop 50KTechnology & Computing
livestorm.co๐Ÿ‡ซ๐Ÿ‡ทFRTop 50KSoftware Development
saashub.com-Top 50KSoftware Development
nudgify.com๐Ÿ‡ฌ๐Ÿ‡งGBTop 100KSoftware Development
secomapp.com-Top 100KSoftware Development
supertails.com๐Ÿ‡ฎ๐Ÿ‡ณINTop 100KSociety
jeffbullas.com๐Ÿ‡ฆ๐Ÿ‡บAUTop 100K-
referralcandy.com๐Ÿ‡ธ๐Ÿ‡ฌSGTop 100KMarketing & Advertising
purelei.com๐Ÿ‡ฉ๐Ÿ‡ชDETop 100KFashion & Beauty
process.st๐Ÿ‡บ๐Ÿ‡ธUSTop 100KTechnology & Computing
chetor.com๐Ÿ‡ฎ๐Ÿ‡ทIRTop 100KEducation
easyship.com๐Ÿ‡บ๐Ÿ‡ธUSTop 100KSoftware Development
designhill.com๐Ÿ‡บ๐Ÿ‡ธUSTop 100KTechnology & Computing
reallygoodemails.com๐Ÿ‡บ๐Ÿ‡ธUSTop 100KTechnology & Computing
educba.com๐Ÿ‡ฎ๐Ÿ‡ณINTop 100KEducation
americommerce.com๐Ÿ‡บ๐Ÿ‡ธUSTop 500KTechnology & Computing
Showing 25 of 1,694 websitesView detailed list โ†’

Frequently asked

What is ReferralCandy?โ€บ
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?โ€บ
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?โ€บ
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?โ€บ
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?โ€บ
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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