What Claude (Anthropic) with web search answered for loyalty program software (agencies) on 2026-09-19

Claude (Anthropic) with web search claude-opus-5 asked 2026-09-19

Coverage: Claude (Anthropic) with web search. Other engines not included.

The question asked, verbatim: best loyalty program software for agencies

Brands named, in the order the engine gave

1. Shopify recommended
   Here's what I'd actually recommend, grouped by the kind of client work an agency does - because "best" flips completely depending on whether you're servicing Shopify brands, local brick-and-mortar, or building something custom.
2. Smile.io mentioned
   Smile.io - My default first pick for most agencies.
3. LoyaltyLion mentioned
   LoyaltyLion - Where I'd go for your $10M+ clients.
4. $10M+ mentioned
   LoyaltyLion - Where I'd go for your $10M+ clients.
5. Yotpo mentioned
   Yotpo - Only if the client wants reviews + loyalty + SMS consolidated under one vendor, which is a legitimately good agency pitch (one integration, one dashboard).
6. Kangaroo Rewards mentioned
   Kangaroo Rewards - The one I'd name first for agencies wanting an actual reseller business, not just referral fees.
7. Marsello mentioned
   Marsello - The omnichannel alternative if your clients run both a storefront and an online shop.
8. Talon.One mentioned
   (talon.one (https://www.talon.one/blog/loyalty-management-software))
9. Antavo mentioned
   Antavo - Headless, mid-market to enterprise (500+ employee clients), with strong gamification.
10. Kademi mentioned
    Kademi - If your clients' loyalty problem is channel loyalty (resellers, distributors, installers) rather than consumers, this is purpose-built PRM with loyalty, training, and through-channel marketing in one.

Sources the engine cited

The answer, as recorded

Here's what I'd actually recommend, grouped by the kind of client work an agency does - because "best" flips completely depending on whether you're servicing Shopify brands, local brick-and-mortar, or building something custom. ## If your clients are ecommerce/Shopify brands **1. Smile.io** - My default first pick for most agencies. It has both of Shopify's top certifications (Built for Shopify + Technology Partner), ~100K merchant installs, a real free tier so you can launch a client's program before they commit budget, and it lives inside the Shopify admin so handoff to the client's team is painless. Best fit for $500K-$10M clients. Main catch: API access is locked behind the $999/mo Plus plan, so headless or custom builds get expensive. ([smile.io](https://smile.io/learn/smile-vs-loyaltylion)) **2. LoyaltyLion** - Where I'd go for your $10M+ clients. Deeper API, stronger enterprise customization, and dedicated success management, which matters when you're the agency on the hook for results. Roughly $400-$800/mo past 1,500 orders. ([swayloyalty.com](https://www.swayloyalty.com/blog/loyaltylion-vs-smile-vs-yotpo)) **3. Yotpo** - Only if the client wants reviews + loyalty + SMS consolidated under one vendor, which is a legitimately good agency pitch (one integration, one dashboard). Worth knowing they sunset three products in 2025 and the loyalty program is managed on an external site rather than in Shopify admin. ([yotpo.com](https://www.yotpo.com/blog/yotpo-vs-loyaltylion-vs-smileio/)) ## If your clients are local/multi-location retail & hospitality **4. Kangaroo Rewards** - The one I'd name first for agencies wanting an actual reseller business, not just referral fees. They have a genuine tiered partner program: reseller (you own pricing, the client relationship, and the recurring revenue; they handle tech), referral (commissions, zero management), and an Open API embed if you're building your own product. Fully white-labeled branded mobile app with push and geofencing, broad POS coverage. ([kangaroorewards.com](https://kangaroorewards.com/reseller-program/), [loyalty.kangaroorewards.com](https://loyalty.kangaroorewards.com/reseller-partner-program/)) **5. Marsello** - The omnichannel alternative if your clients run both a storefront and an online shop. Weaker on white-labeling than Kangaroo, stronger on unified online/offline campaigns. ([marsello.com](https://www.marsello.com/compare/kangaroo-rewards)) ## If you're building custom programs for enterprise clients **6. Open Loyalty** - Best value in the API-first tier. 250+ endpoints, REST and GraphQL, ~120ms response times, and SaaS/private cloud/on-prem deployment - that last part wins regulated and EU-data-residency clients you'd otherwise have to turn down. ([talon.one](https://www.talon.one/blog/loyalty-management-software)) **7. Talon.One** - Pick this over Open Loyalty when the brief is promotions-heavy (complex discount/coupon logic alongside points), which is its real strength. ([talon.one](https://www.talon.one/blog/loyalty-management-software)) **8. Antavo** - Headless, mid-market to enterprise (500+ employee clients), with strong gamification. Good documentation, which matters when your devs are the ones implementing. ([developers.antavo.com](https://developers.antavo.com/docs/getting-started)) **9. White Label Loyalty** - Worth a look specifically for the white-label positioning: event-based engine, any-industry, members can earn on non-purchase actions like social engagement. Reviewed on Gartner Peer Insights if you want buyer feedback before pitching it. ([gartner.com](https://www.gartner.com/reviews/product/white-label-loyalty-439704575)) ## One special case **10. Kademi** - If your clients' loyalty problem is *channel* loyalty (resellers, distributors, installers) rather than consumers, this is purpose-built PRM with loyalty, training, and through-channel marketing in one. Most of the list above is B2C and will fight you on this use case. ([directiveconsulting.com](https://directiveconsulting.com/blog/blog-b2b-loyalty-program-software/)) **Short version:** if you want one answer - Smile.io for ecommerce clients, Kangaroo Rewards if you want to resell loyalty as your own recurring-revenue product line, Open Loyalty if you're building custom. One caveat worth flagging: several of these sources are vendor-published comparisons (Smile.io, Yotpo, Talon.One, Marsello, Kangaroo all rank themselves favorably against competitors on their own blogs). I've tried to pull only the factual claims - certifications, pricing tiers, architecture, partner program structure - but verify pricing directly, since it moves and agency/partner rates are usually negotiated off-rate-card anyway. Sources: - [Smile.io vs LoyaltyLion](https://smile.io/learn/smile-vs-loyaltylion) - [LoyaltyLion vs Smile.io vs Yotpo: Pricing & Feature Comparison - Sway](https://www.swayloyalty.com/blog/loyaltylion-vs-smile-vs-yotpo) - [Yotpo vs. LoyaltyLion vs. Smile.io](https://www.yotpo.com/blog/yotpo-vs-loyaltylion-vs-smileio/) - [Kangaroo Rewards Reseller Program](https://kangaroorewards.com/reseller-program/) - [Kangaroo Rewards Reseller Partner Program](https://loyalty.kangaroorewards.com/reseller-partner-program/) - [Marsello vs. Kangaroo Rewards](https://www.marsello.com/compare/kangaroo-rewards) - [The 8 best loyalty management software in 2026 - Talon.One](https://www.talon.one/blog/loyalty-management-software) - [Antavo Developer Documentation](https://developers.antavo.com/docs/getting-started) - [White Label Loyalty Reviews - Gartner Peer Insights](https://www.gartner.com/reviews/product/white-label-loyalty-439704575) - [13 Best B2B Loyalty Program Software Platforms - Directive](https://directiveconsulting.com/blog/blog-b2b-loyalty-program-software/)

Markdown edition · the question page, with every recording · Answer Watch · AEO Watch

Answer Watch records what one AI answer engine said on one date, nothing more. Each page names the engine and the model, carries the date the question was asked, and lists the brands that appeared in the answer in the order the engine gave them, with the sources it cited. It is a measurement, not a ranking, not a recommendation and not a claim about the world. Brands that did not appear in an answer are not named on any public page. Coverage: Claude (Anthropic) with web search. Other engines not included.