Unpacked: How loyalty programs power lifecycle marketing strategies

01 So, what have loyalty programs typically looked like on both the brand and consumer sides? 02 What challenges are brands and retailers facing with traditional loyalty programs? 03 How can brands and retailers combat margin erosion and offer abuse? 04 What’s the value of permissioned data to brands?

05 How can we capture the data we need while offering value to consumers? 06 OK, so how does this factor into using loyalty as a conduit for lifecycle marketing? 07 What if I can’t get buy-in? 08 OK. So, how are brands incorporating this data into their lifecycle marketing strategies?

09 How do permissioned data, verification and lifecycle marketing all come together? This Unpacked guide, sponsored by SheerID, explores how loyalty is no longer earned through rewards alone; it’s built through relevance, transparency and sustained commitment to understanding customers over time.

Shifts in consumer behavior — specifically the desire for data privacy and instant, personalized recognition — and AI’s acceleration of the buying process are making traditional loyalty programs feel stale and pointless for brands and shoppers.

Blanket discounts and traditional rewards aren’t what drive today’s consumers; they want value, relevance and trust in a brand. This is particularly true for Gen Z, who make purchase decisions faster and with purpose.

Brands now face what’s often called the personalization paradox: consumers expect highly tailored, relevant experiences, yet remain deeply wary of the data collection required to deliver them. Shoppers want brands to “know” them — but only on their own terms.

This tension has become a defining challenge for modern loyalty marketers, particularly as skepticism toward how personal data is collected, stored and used continues to rise.

In fact, more than half of consumers say they are reluctant to share the data that enables personalization, underscoring why retailers must rethink loyalty not as a standalone program but as a lifecycle strategy grounded in trust, transparency and a clear value exchange that evolves with the customer over time.

Lifecycle marketing requires brands to understand who their customers are, what they value and how those needs change over time — and then demonstrate that familiarity at every touchpoint across every channel.

This is a broader strategy meant to evolve with the consumer as they experience life changes, where messaging, offers and product lineups adjust based on shopper data.

In this Unpacked explainer, we’ll dive into the value of loyalty programs today and why successful brands and retailers are using the data collected from these initiatives to fuel lifecycle marketing. 01 So, what have loyalty programs typically looked like on both the brand and consumer sides?

While there are several types of traditional loyalty programs, most award points or discounts based on how much a member spends (i. e. , 1 point per $1, $5 off after spending $100, a free coffee after buying 9, etc.)

This approach is simple and predictable for both consumers and brands; however, as habits and expectations change, shoppers seek more exciting, innovative and personalized rewards programs. “Consumers now recognize their data as a high-value asset,” said Lara Compton, SheerID’s senior vice president of global marketing.

“When brands offer stale, one-size-fits-all rewards in exchange for deep personal insights, the value exchange feels fundamentally imbalanced and transactional — a generic discount is no longer enough to balance the scales for their digital identity.”

Customers understand the value of the personal data brands collect and expect them to use it to provide greater and more relevant value. Seventy-one percent of consumers report having greater loyalty to brands that give them exclusive offers and personalized engagement based on meaningful attributes.

Relying only on transaction history or inferred behavior means missing critical insights — this approach doesn’t provide information on who a customer is or what would motivate them to buy again.

Without these more meaningful attributes, which many times brands presume versus know for a fact, brands are limited in the information available to personalize engagement. When the data used for personalization is shallow or inferred, the cost to connect skyrockets.

Meaningful audience data is the only way to make personalization both impactful and cost-effective. Brands that use their loyalty programs as a tactic that supports a broader, data-driven approach to building long-term relationships can drive greater engagement.

“Consumers, particularly younger ones, want to be recognized as individuals who identify strongly with different communities or activities,” said Christine Reyes, SheerID’s senior director of product marketing. “Loyalty programs need to reward these aspects of their customers, and offer members experiences, not just discount codes.”

02 What challenges are brands a