Traditional loyalty programs are underperforming as brands shift toward advocacy-driven growth. To reduce customer defections, marketers must move beyond purely transactional models and adopt participation engines that reward reviews, referrals, user-generated content, and community engagement alongside purchases.
E-commerce cloud platform Brevo’s 2026 Smart Loyalty Guide, released Tuesday, introduced the Smart Loyalty Framework, taking a structural view of why loyalty programs underperform today. The approach is a significant shift for Brevo, moving the conversation from “points and perks” to a more holistic, tech-integrated strategy.
The guide helps retailers re-examine their loyalty programs and marketers interested in connecting their loyalty programs to their CRM and tech stack.
“The most powerful drivers of growth — user-generated content (UGC) and word-of-mouth — are happening outside of traditional programs. Smart loyalty flips the model to see and reward those contributions,” Channing Ferrer, Brevo Americas CEO, told CRM Buyer.
Key Findings: The 2026 Smart Loyalty Cheat Sheet
The industry’s core consumer loyalty program is shifting from a cost center focused on giving away margin through discounts to a growth engine that leverages customer advocacy. A smart loyalty program is no longer just a points ledger. It is a participation engine, according to the guide.
The report highlights widespread dissatisfaction with traditional loyalty programs, noting that a significant majority of consumers view points-and-discount models as low-value or irrelevant:
- 54% of loyalty memberships are currently inactive, and
- 28% of users abandon programs before their first reward.
Advocacy multiplier and conversion power also impact this loyalty shift. Referred customers spend 25% more and are 27% more likely to remain long-term customers. Interaction with UGC and reviews drives a 100%+ lift in conversion rates.
“Smart loyalty needs a unified platform that can see, measure, and reward loyalty across channels,” said Séraphie de Tracy, Brevo’s Head of Loyalty. “At scale, you’ll need a system that can listen, decide, and act on behaviors in one place.”
3 Structural Pillars Define Smart Loyalty Adoption
The framework emphasizes execution over incentives alone.
First, the Smart Loyalty Framework helps users move beyond underperforming models. Incentivizing reviews, referrals, and social engagement reduces customer acquisition costs (CAC) by shifting growth toward advocacy-driven acquisition. The goal is to reward advocacy, not just spend.
Second, fragmentation is the primary barrier to rewarding customer behavior in real time. Fix this by consolidating loyalty, CRM, and automation.
Third, deploy agentic AI beyond chatbots to analyze real-time behavioral signals and trigger automated, hyper-personalized journeys that strengthen relationships competitors struggle to disrupt.
Underpinning all three pillars is a unified listen-decide-act model that enables loyalty systems to respond to customer behavior in real time, rather than relying on delayed, batch-based workflows.
According to Ferrer, simply rewarding transactions does two things. It treats customers like piggy banks and shortens their customer lifecycles. Loyalty can be either a cost center through discounts or a growth engine through advocacy.
“Smart Loyalty chooses growth. Our guide shows that the most influential touchpoints in your customer journey are created by customers, not your marketing team,” Ferrer offered.
Real-Time CRM Integration Fixes Loyalty Lag
As conventional loyalty programs hit a wall, rising acquisition costs, declining trust in brand advertising, and saturated paid channels are exposing the limits of points-and-discount models. The guide underscores the growing premium on authentic, human connection alongside AI and automation.
As artificial intelligence (AI) automates more and more of the customer experience, from chatbots to personalized recommendations, the smart loyalty framework leans in. It uses AI to build authentic relationships that make competitors irrelevant. The guide outlines a realistic maturity path that helps brands build loyalty in the age of AI.
Ferrer noted that in traditional loyalty programs, customers buy, earn points, and wait for a coupon. Margins shrink, resulting in very little true loyalty. Meanwhile, the most powerful drivers of growth today — UGC, social proof, and word of mouth — are happening outside those programs.
“Smart loyalty flips that model, and loyalty becomes a participation engine, not just a points ledger. Most brands already have their most powerful marketing asset: their customers. The problem is they don’t see or reward those contributions, nor do they connect them to their CRM,” he said.
The guide positions loyalty as the connective tissue of the modern martech stack, sitting alongside automation, analytics, and AI decisioning rather than operating as a bolt-on rewards system. This architectural shift enables loyalty data to inform real-time orchestration, transforming retention signals into actionable growth intelligence.
Rewards Lack Relevance or Accessibility
With a large majority of consumers holding a negative view of traditional loyalty programs, loyalty platforms must account for transactional fatigue to determine whether their current program is underperforming, Ferrer suggested. The framework re-engages the ghost segment of a database without relying on discounts that erode margins. He outlined several warning indicators that signal loyalty fatigue:
- Declining redemption rates despite point accumulation
- Increasing time between purchases, even with available rewards
- High member dropout after first redemption
- Low email engagement on program communications
- Members choosing competitors despite loyalty balance
“The critical signal is customers who earn but never redeem,” he said.
To combat the trend of inactive loyalty program members, Ferrer listed four essential fixes that build emotional connection before making a commercial ask. They recognize birthdays, reward social shares, offer exclusive access to content, gamify product use, and create tiered status benefits that don’t require purchases.
“This Smart Loyalty approach relies on a personalized touchpoint strategy to activate the right channel for the right customer: email, SMS, web, mobile wallet, and in-store,” he said.
Breaking the Acquisition Cycle: Why Loyalty Stalled
Two factors hinder marketers in developing a better loyalty strategy, according to Ferrer. The retail industry spent the past two decades in an acquisition arms race. Brands chased new customers through increasingly expensive paid channels while neglecting the dormant database.
The industry relied on legacy point-of-sale (POS) systems that could not track multichannel behaviors, such as referrals or UGC, in real time. Their data lived in silos, disconnected from CRMs.
Part of the solution lies in using artificial intelligence to enhance timing and relevance while preserving an authentic human connection.
Ferrer described Brevo’s approach as using AI for timing and relevance, not volume. AI identifies the optimal moment to reach out, personalizes reward types to individual preferences, and predicts churn risk to trigger human touchpoints.
“This makes every interaction meaningful rather than multiplying generic messages,” he explained.
Why CRM-Embedded Loyalty Outperforms Standalone Platforms
Integrating loyalty directly into the CRM changes how automated journeys are triggered compared with traditional standalone loyalty platforms. Real-time orchestration, granular events and signals, and advanced scoring are the core of the system.
“CRM-integrated loyalty triggers journeys instantly. A referral click unlocks immediate rewards. Standalone platforms batch-sync overnight, breaking the action-reward connection,” Ferrer detailed.
In practice, Brevo’s guide extends this point, making clear that any batch-based delay — whether hours or a full day — weakens the immediacy required to reinforce customer behavior.
He further explained that the platform accesses the full behavioral stream, including browsing, email engagement, support, and social — not just transactions. It enables sophisticated triggers such as viewed tier benefits 3x, no purchase in 30 days, and opened last emails through an automated upgrade journey.
The strategy includes combining transactional value, engagement signals, and advocacy into unified health scores. The goal is to trigger journeys based on loyalty trajectory, such as rising advocates vs. declining members, not just point balance.
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