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Customer Incentives
Power up the marketing opportunities
Needless to say, your rebate program is an important part of your brand, marketing initiatives and customer acquisition strategy. That’s why our rebate management services help you optimize both the customer experience and the marketing value. Our solutions include surveys, reviews, referrals and loyalty opt-ins.
In fact, 81% of customers would participate in surveys, reviews, referrals and loyalty opt-ins during the submission process, making rebates a more powerful part of your ongoing marketing initiatives.1
97%
of shoppers are looking for a deal when they shop1
87%
are specifically looking for rebates and best-advertised prices1
83%
think rebates are great savings opportunities1
Save money with aggregated rebate payouts
For lower dollar–value rebates—often used in CPG marketing—leverage our aggregated rebate payout option; it makes your program easier for customers and more cost-effective for you.
By issuing Visa® or Mastercard® Prepaid Cards featuring your logo, you can turn one-time buyers into repeat customers. It’s a smart promotional strategy that can help increase the lifetime value of your customers by building loyalty.
Hawk Redeem: your rebate processing center
Our mobile friendly platform is designed to launch quickly, allowing us to brand and configure your desired promotional experience easily. Our suite of engagement modules allows you to survey, collect reviews, share socially and launch a referral program all from a single submission.
Trust a proven leader in rebate management
Blackhawk Network is a leader in rebate and promotion processing, fulfillment and customer support. Annually, we handle over 36 million rebates and deliver $2 billion dollars in incentives, so you can count on us to have the expertise, scale and stability to partner with you to deliver a better incentive experience.
1Source: A Hawk Incentives rebate experience online survey of 2,001 Americans was completed between February 28 and March 12, 2017, using Leger’s online panel, LegerWeb. A probability sample of the same size would yield a margin of error of +/-2.0%, 19 times out of 20.