SuperAPI AI Directory

Zinrelo

AI-powered loyalty and rewards platform for customer retention and brand advocacy.

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About this tool

Zinrelo is a customer loyalty software, also appearing in official texts under the product name TrueLoyal, primarily serving CPG, retail, DTC, and B2B brands, helping brands centrally manage rewards, referrals, receipt scanning, UGC, consumer data, and brand communities. Its positioning is "a loyalty platform for consumer brands selling online and on the shelf," emphasizing that loyalty programs should not merely distribute discounts, but should influence a customer's next purchase, next referral, and next advocacy action, and should enable loyalty strategy to be measured in relation to revenue.

I. Purpose Zinrelo/TrueLoyal is used to design, manage, and measure loyalty programs, supporting transactional loyalty, customer advocacy, and consumer data being connected within a single loyalty management platform. It is suitable for consumer brands seeking to increase repeat purchases, retention, and brand advocacy, and also for brands needing to connect e-commerce, retail, third-party stores, and distribution channels.

II. Key Capabilities

  1. Rewards and tiered loyalty programs: create flexible points, rewards, VIP tiers, member benefits, promotions, milestones, and personalized earning rules; reward purchases and valuable customer behaviors rather than relying on blanket discounts.

  2. Gamified loyalty and customer engagement: through missions, challenges, milestones, recognition, and member experiences, keep customers engaged between purchases, not only when they are ready to redeem points.

  3. Receipt scanning and offline purchase capture: identify purchases completed through retail stores, distributors, and third-party channels; receipt scanning connects offline transactions to known consumers, enabling brands to reward purchases and build first-party data.

  4. Referrals and customer advocacy: turn loyal customers into an acquisition channel, reward referrals, advocacy, and brand participation, and measure the customers and content that influence future purchases.

  5. Reviews and user-generated content: invite customers to create reviews, photos, videos, and product stories; obtain usage rights and activate authentic customer content in e-commerce, retail, and marketing campaigns.

  6. AI-driven churn prediction: identify customers showing signs of churn and activate timely retention campaigns before they disengage; use behavioral data to focus retention efforts where they can make the greatest difference.

  7. Cross-channel loyalty: customers rarely interact with a brand through only one channel; they purchase online, at retailers, in stores, and from distribution partners; TrueLoyal connects these interactions into a single consumer profile.

  8. Data attribution for AI-assisted purchasing: official texts propose that when AI agents help customers choose, loyalty needs to be part of the decision; customer identity, preferences, tier, and purchase history can all become information that agents can act on. TrueLoyal enables brandsThe cards are in the customer data and relationships that matter in both human and AI-assisted purchasing.

  9. How to use it The official text states that TrueLoyal can connect with existing e-commerce, ERP, CRM, and marketing systems to synchronize loyalty data without replacing the original systems. Supported integrations include Oracle NetSuite, Shopify, VTEX, Salesforce, Magento, BigCommerce, Klaviyo, Hootsuite, and others (the official list says "and more"). In addition to software, TrueLoyal also provides program strategy, managed services, and program operations to help brands design, launch, measure, and improve loyalty programs. The official text does not provide specific installation commands or code examples.

  10. Applicable scenarios

  11. CPG: connect retail purchases to known consumers through receipt scanning, combined with rewards, fan communities, UGC, and zero-party data.

  12. DTC and e-commerce: increase repeat purchases and lifetime value through rewards, referrals, reviews, and churn prediction.

  13. Retail: create connected loyalty experiences across stores, e-commerce, and every customer touchpoint.

  14. B2B and distribution: reward distributors, channel partners, and business buyers while capturing sell-through data.

  15. The official text also mentions applicability to automotive brands, beauty and wellness brands, and pet brands.

  16. Results and limitations The official text provides some customer program results, including: a certain campaign brought a 7.2% year-over-year increase in leisure bookings; customer retention increased by 26% within three months; program members read 84 articles within 30 days, compared with 13 for non-member registered users; a community of more than 100,000 members was built and generated more than 5,300 reviews. The official text also notes that "results come from individual customer programs, and results vary by brand." The official text does not provide specific fees, prices, free trials, platform deployment forms, supported languages, specific installation steps, or code examples; this information is not currently available.