Zinrelo customers see an 80% increase in repeat sales, a 50% improvement in profitability and 2.4X per-customer revenue. It enables businesses to easily launch a highly customized rewards program. Zinrelo believes that data is the key to a successful rewards program. We use data in a way no other loyalty company does. Zinrelo has been rated as the #1 loyalty rewards software by G2 Crowd.
Key Differentiators of the Loyalty Rewards Platform by Zinrelo:
1. Data Sciences Approach
- Our data sciences team analyzes past purchase data to deliver a perfect fit rewards program
optimized for your business.
2. Machine Learning for User Segmentation and Targeting
- Machine learning techniques are used to segment loyalty members into actionable clusters.
- Targeted loyalty campaigns such as tier upgrades, bonus points, double points, and other point’s
incentives can be run against actionable segments to derive revenue.
3. White Glove Service
- Our white glove service handholds our Clients through the launch process.
- Quarterly Business Reviews are conducted to analyze performance and review success plans.
- Clients love Zinrelo’s support. Zinrelo has 5-star reviews on all major review sites.
4. Blazing-fast Enterprise Grade Platform
- Zinrelo is the fastest platform out there. It caters to thousands of businesses and serves over 100
million loyalty members.
Zinrelo loyalty rewards platform is loaded with features that are needed by mid to large businesses.
- 360 Degree Customer Engagement
- Built-in Referral Program
- Reward Tiers
- Powerful Marketing Promotions Engine
- Fully Customizable & Fully Brandable Member Dashboard
- Omni-Channel Program Implementation
- Flexible Rewards
- Automated Email Notifications
- Detailed Reports with Downloads
- 100 Currencies Supported Including USD, EUR
- Multi-language Support within a Single Loyalty Program
And many more…
Zinrelo and PowerReviews
Through the PowerReviews + Zinrelo integration, brands and retailers are able to increase retention rates and repeat revenue by rewarding their customers for leaving ratings, reviews, images, videos and more.