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Loyalty software buyer's guide

Enjoy actionable insights coming from over 2.000 calls with enterprises looking to adopt a loyalty solution.
Carlos Oliveira
Product Marketing Manager
Karl Bzik
Co-founder, CPO

The loyalty software market is vast and complex, with over 300 solutions offering different features, integrations, and pricing models. Selecting the right loyalty engine can be challenging and time-consuming for companies with advanced tech stacks. That’s why we created this guide: to help you navigate the market and make an informed decision about choosing the best loyalty software for your business needs.

This resource is designed specifically for product, marketing, and technology experts working in larger enterprises who must introduce a successful loyalty program that integrates with an existing tech stack composed of systems such as an e-commerce platform, CRM, marketing automation, mobile app, or other custom-built systems.

Our insights come from over 2,000 calls with companies searching for the right loyalty solution, 10+ years of industry experience, and 100+ successful implementations for brands like Heineken, limango, and ALDO.

Whether you're evaluating build vs. buy options or looking for a scalable, API-first loyalty engine, this guide will help you avoid common pitfalls and choose a solution that aligns with your business goals.

Sections overview

  • What are the important insights and trends you should consider when looking for loyalty software?
  • What should you expect from loyalty software when you’re a big enterprise with a complex infrastructure?
  • What are the five different types of loyalty software, and what are their pros and cons?
  • Build vs. buy dilemma: when is it worth buying a loyalty engine instead of building in-house?
  • What are the four alternative approaches to building a loyalty program and their pros and cons?
  • What capabilities and qualities to check when evaluating loyalty software?
  • What does a roadmap for a successful loyalty program implementation look like?

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