ReferralCandy is an email-based customer referral platform.
$47
per month
RO Innovation
Score7.1 out of 10
N/A
Upland RO Innovation automatically serves up the best customer references to elevate brand awareness and win more deals.
N/A
Pricing
ReferralCandy
RO Innovation
Editions & Modules
Premium
$39
per month
Plus
$239
per month
No answers on this topic
Offerings
Pricing Offerings
ReferralCandy
RO Innovation
Free Trial
Yes
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Premium Plan: Starts at $39/month + up to 5% of Revenue generated by ReferralCandy
Plus Plan: Starts at $239/month + 1.5% of Revenue generated by ReferralCandy
ReferralCandy is overall a great tool that saves me time and money. Creating a referral program on your own is incredibly difficult and this tool allows for an automated system to send us an option to opt into the referral program. Their customer success team is very helpful and they're quick to get back to us when we have a question. We also love the ban feature when a customer abuses the referral program.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
BL is great is you're going from a manual process to something more sophisticated. I'm not sure what the competitive landscape looks like with regards to Reference Software nowadays, but when we were evaluating a few years ago, BL was ahead of all other vendors in terms of functionality and integrations with SFDC
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The system provides more visibility into available references and prevents references from being over-used. It allows the client (reference) to choose how often they can be contacted in a given time period and provides a closed-loop feedback mechanism to make sure the client is providing positive responses.
Allows account executives (sales people) to easily request references based on: product Used, customer vertical, location, account size, expertise, etc.
Uses a “Five Star” method to show how relevant the answers are when a results are returned from a search.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
ReferralCandy went above and beyond when it came to the initial integration of their app with our e-commerce store. They walked us through, step by step, how to install it, and then spent time helping track down a display bug that had popped up, giving us a couple free months for our trouble even!
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The process of asking each reference how often they’d be willing to be contacted was the biggest task. We made assumptions for current clients, and ask each new client once they become a customer. Along with which specific skill-set they’d be willing to be a reference
While I was one of the decision makers in this process, I didn't sit on the demos for the other providers (I was brought in further in the sales process). My understanding from my team was that BL was much more configurable and support more robust integrations that the competitors
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info