The truth about customer loyalty softwares

Why most programs fail and what to do about it

Customer loyalty programs are everywhere. Recent studies show that 90% of US retailers use some form of loyalty program, according to Forbes. From fast fashion to luxury retailers, every brand seems to have one as of today. Yet here’s the uncomfortable truth: most loyalty programs are failing at their core mission.

A recent study found that the average consumer belongs to 16.6 loyalty programs but actively engages with only 6.7% of them. That’s a 60% dormancy rate. Billions are being invested in loyalty infrastructure that customers simply don’t care about. Why? Because traditional loyalty software has confused transactions with relationships, and points with genuine connection.

The dynamic landscape of modern retail demands something different. Today’s shoppers don’t want another app tracking them. They look for personalization, authenticity, and experiences that actually enhance their experience and make their life easier. They want to feel known, not tracked.

So what separates loyalty programs that customers love from those they ignore? The answer lies not in the rewards structure itself, but in the technology infrastructure that allows brands to build meaningful human connections at scale. In this article, we break down what works beyond discounts and points, and explore how retailers can boost customer loyalty with clienteling to bridge the gap between in-store and online channels.

The flaw in traditional customer loyalty thinking

Most loyalty software operates on a transactional model. Customer buys and earns points that they might or might not redeem. It’s a one-dimensional relationship that reduces human beings to data points.

Loyalty isn’t built solely on discounts. A customer who only shops during promotions isn’t loyal; they’re probably price-sensitive. Real loyalty is built on emotional connection. That’s why retailers win over time by delivering high-quality direct-to-consumer service and by building a post-purchase relationship that goes far beyond points. The goal with loyalty programs is to build a loyalty loop, and not a sales funnel.

In 2026, the transactional model is not just outdated; it can become harmful to relationship-building, because it does not empower the frontline workers, the ones who interact with the consumers.

Building an omnichannel system is no longer an option. It has become imperative to remain competitive.

Most loyalty programs fail because they are channel-specific rather than customer-centric. Customers might engage across multiple channels: browse on mobile, research on desktop, ask questions via chat, and complete the purchase in-store. But your loyalty system sees these as four separate interactions, or worse, might make retailers unable to link them into one comprehensive report. Moreover, the information gathered through loyalty programs across different channels is most likely not accessible to floor-level employees, leaving them disconnected from important information. 

We often hear from retailers that customer history and reporting are siloed within CRMs, accessible only to marketing teams and senior leadership. This disconnect is the Achilles’ heel of many loyalty programs. 

Connecting loyalty programs and marketing initiatives into a comprehensive, omnichannel view is especially critical because customers don’t think in channels. Shoppers think in outcomes. “I need this dress for Saturday.” “I want to understand if this skincare routine works for my skin type.” “I’m renovating my home office and need everything to arrive before my first client meeting.” 

This is where omnichannel engagement technology becomes the foundation of loyalty rather than just a feature. This is why Salesfloor becomes a game-changer for retailers. It gives them the ability to connect online browsing behaviour with in-store expertise. It enables associates to reach customers through their preferred channels, whether that’s text, email, video chat, or livestream shopping, creating a seamless experiences that build trust.

Why it works: A customer receives a generic email about new arrivals based on past purchases, versus receiving a personalized text from their favourite store associate who knows they’ve been looking for workwear and just spotted the perfect blazer in their size. Giving sales associates the ability to access customer purchase history becomes invaluable for them to adapt their recommendations. It helps them nurture the post-purchase relationship in a meaningful way.

Our data shows that direct communication from a local store has 2 times the open rate (Salesfloor 2026 data), compared to a generic automated marketing email.

Clienteling: The overlooked element in customer loyalty programs

While clienteling has been around for decades, its use has evolved from an elite practice reserved for luxury personal shoppers to a scalable strategy for every vertical within the retail industry.

Clienteling is fundamentally about empowering your frontline sales team. Whether they’re physically in stores or working remotely, to build and maintain relationships with customers. It’s the technology layer that empowers sales associates to act as micro-influencers: comprehensive customer profiles, purchase history, style preferences, communication history, and the tools to reach out proactively with personalized recommendations.

Your store associates are your most valuable loyalty asset

Customers don’t form emotional connections with only brands; they form connections with people they trust. The associate who remembers their name, understands their style, and texts them when something perfect arrives. That person becomes the loyalty program.

But without the right technology infrastructure, this relationship-building can only happen at small scale. Salesfloor changes this equation by providing associates with features that centralize customer data and communication tools across stores and teams. An associate can curate a personalized selection, share it via text or email, and track engagement.

The impact on loyalty metrics is dramatic. Retailers implementing sophisticated clienteling see customer lifetime value (CLV) increase by 4.5 times and repeat purchase rates increase by 4 times compared to transactional-only customers. The reason is simple: the experience shifts from “I’m shopping at this store” to “I’m working with Sarah, who really gets my style.”

The data intelligence foundation

The loyalty programs that drive results in 2026 are powered by platforms that consolidate customer data from every touchpoint into unified profiles that update in real-time.

How to streamline data infrastructure to build loyalty

This means integrating your data into a single source of truth from the bottom up. This can be achieved by implementing Salesfloor. Our clienteling software enables retailers to synchronize information between their CRM and POS, providing full visibility into their store operations.

Automating tasking to drive results

Salesfloor’s auto-tasking feature identifies customers whose engagement is declining, triggering an associate to reach out with a personalized check-in or product recommendation. Having access to their shopping history can then help them suggest the right product at the right time based on purchase patterns and previous browsing behaviour. Equipped with an AI messaging assistant tool, sales associates who might have hesitated to communicate with customers become more confident in their outreach. The AI Messaging Assistant is embedded into the messaging feature and can generate messages with custom or pre-made prompts, correct copy, and suggest edits.

The goal isn’t to automate relationships, but to make human relationship-building more informed, more timely, and more scalable. Technology should enhance associate intuition and confidence, not replace it.

Book a meeting with one of our retail experts to learn how leading brands are using clienteling, virtual shopping, and AI to drive measurable loyalty results.

About the author

  • Genevieve Fortin has spent a decade immersed in the SaaS industry, where she developed deep expertise in customer dynamics. As a writer specializing in consumer behaviour, engagement strategies, personalization, and clienteling, she helps companies navigate the evolving landscape of customer experience and relationship-building.