Key takeaways
Loyalty software has its own vocabulary — points and tiers, earn-and-burn, redemption, emotional loyalty, omnichannel, APIs, and dozens of KPIs — and the terms often mean different things across platforms. This glossary defines them clearly in one place.
It's organized into seven categories: loyalty basics, AI and data, restaurant and omnichannel, retail and ecommerce, technical and integration, metrics, and TRIFFT-specific concepts. Each term includes a short definition, a simple example, and why it matters for retail, restaurant, and ecommerce brands — so buyers and marketers can quickly understand what a platform is really offering.
Loyalty basics
Loyalty program
A loyalty program is a structured system that rewards customers for repeat purchases and engagement, encouraging them to keep buying from a brand rather than switch to a competitor.
Example: A coffee shop gives one free drink after every ten purchases.
Why it matters: It increases repeat purchase rate and customer lifetime value while reducing dependence on paid acquisition.
Emotional loyalty
Emotional loyalty is a customer's genuine attachment to a brand — chosen out of preference and connection, not just price — measured from behaviour like referrals, reviews, and visit frequency rather than spend alone. It is the opposite of transactional loyalty, where a customer stays only as long as the discount does. Emotional loyalty is what makes a customer defend a brand, forgive the occasional mistake, and keep buying at full price.
Example: A customer keeps returning even when a cheaper option exists, and recommends the brand to friends.
Why it matters: It predicts long-term retention better than transactions, and is the foundation of durable loyalty because emotionally loyal customers are hard to win away with discounts.
Transactional loyalty
Transactional loyalty is loyalty driven purely by rewards, discounts, or price — a customer keeps buying only as long as the incentive lasts, with no deeper attachment to the brand.
Example: A shopper returns only when there's a sale or a points promotion, and leaves for a cheaper competitor.
Why it matters: It's easy to create but fragile; the strongest programs move customers from transactional loyalty toward emotional loyalty for lasting retention.
Points-based loyalty
Points-based loyalty is a program model where customers earn points for purchases and actions, then redeem those points for rewards, discounts, or perks.
Example: A shopper earns 1 point per $1 spent and redeems 100 points for a $5 reward.
Why it matters: It's the most common and easily understood loyalty model — a strong default for retail and ecommerce.
Program tiers
Program tiers are levels within a loyalty program (such as Silver, Gold, and Platinum) that customers move through based on spend, points, or engagement, unlocking better rewards as they rise.
Example: A customer who spends $1,000 a year reaches the top tier and earns free shipping and early access.
Why it matters: Tiers protect margins by reserving the best rewards for the most profitable customers, and motivate customers to keep their status.
Tiered loyalty program
A tiered loyalty program is a loyalty model that sorts members into levels based on spend, points, or engagement, unlocking increasingly valuable rewards as they rise. Well-known examples include Sephora's Beauty Insider (Insider, VIB, Rouge) and airline status tiers. The structure works because customers spend more to reach and keep a higher status, and the best rewards stay reserved for the most valuable members.
Example: A program with Insider, VIP, and Elite tiers gives better perks at each level.
Why it matters: Tiered programs drive customers to spend more to reach and keep higher status, and concentrate the best rewards on the most valuable customers.
Earn-and-burn
Earn-and-burn describes the two core actions in a points program: earning points through purchases or engagement, and redeeming them for rewards.
Example: A member earns points on every order and burns them on a checkout discount.
Why it matters: A healthy earn-and-burn balance shows a program is engaging — points earned but never burned signal weak rewards.
Redemption
Redemption is the act of a customer exchanging earned loyalty points or rewards for something of value, such as a discount, free product, or perk.
Example: A member redeems 500 points for $5 off their next order.
Why it matters: Redemption rate is a core health metric — high redemption means rewards are valuable and easy to claim.
Points expiration
Points expiration is a rule that voids a customer's unused loyalty points after a set period of inactivity or a fixed time.
Example: Points expire 12 months after they're earned unless the customer buys again.
Why it matters: It limits reward liability and creates urgency that drives repeat visits — but overly aggressive expiry frustrates customers.
Reward liability
Reward liability is the total value of loyalty points and rewards customers have earned but not yet redeemed — a financial obligation the brand carries until points are used or expire.
Example: 1 million unredeemed points worth $10,000 is $10,000 of reward liability.
Why it matters: It must be modelled before launch, because unredeemed points are a real cost on the balance sheet.
Breakage
Breakage is the share of loyalty points or rewards that are never redeemed, because they expire or customers forget them.
Example: If 20% of issued points are never used, breakage is 20%.
Why it matters: Some breakage improves program economics, but high breakage can mean rewards aren't compelling or are hard to redeem.
Gamification
Gamification is the use of game-like mechanics — points, progress bars, challenges, badges, and tiers — to make a loyalty program more engaging and motivate repeat behaviour.
Example: A progress bar showing "You're $45 from Gold status" prompts another purchase.
Why it matters: It taps into motivation and status to drive engagement beyond simple points-for-purchase.
Referral program
A referral program is a loyalty mechanic that rewards existing customers for introducing new customers to a brand.
Example: A member shares a referral link and both they and the new customer get a discount.
Why it matters: It turns loyal customers into a low-cost acquisition channel with higher trust than paid ads.
Rewards
Rewards are the benefits customers receive through a loyalty program in exchange for purchases or engagement — such as discounts, free products, points, perks, or exclusive experiences.
Example: A member redeems points for a free product, or unlocks free shipping as a tier benefit.
Why it matters: Rewards must feel genuinely valuable and easy to claim, or customers won't stay engaged with the program.
Loyalty rewards program
A loyalty rewards program is a program that gives customers rewards for repeat purchases and engagement, typically through points, tiers, or perks, to encourage them to keep buying.
Example: A store's rewards program gives points on every purchase that customers redeem for discounts.
Why it matters: It's the umbrella term buyers use for most loyalty programs, spanning points, tiers, and referral mechanics.
Cashback loyalty
Cashback loyalty is a program model that rewards customers with a percentage of their spend back as store credit or money, rather than points.
Example: A member earns 5% back on every purchase to spend on a future order.
Why it matters: Cashback is simple and easy to understand, but unlike points and tiers it offers less room for gamification and status.
Coalition loyalty
Coalition loyalty is a shared program where multiple brands or retailers participate, letting customers earn and redeem rewards across all of them.
Example: Customers earn points at a grocer, a fuel station, and a pharmacy in one shared scheme.
Why it matters: It widens where customers can earn and redeem, but requires shared infrastructure and agreed economics between partners.
Customer retention
Customer retention is a brand's ability to keep existing customers buying over time, rather than losing them to competitors.
Example: A brand that keeps 80% of its customers year over year has an 80% retention rate.
Why it matters: Retention is the core goal of loyalty — retaining an existing customer is far cheaper than acquiring a new one.
Paid (subscription) loyalty
Paid loyalty is a program model where customers pay a recurring fee to access premium benefits, rather than earning them through spend.
Example: A membership costs $49 a year and includes free shipping and members-only pricing.
Why it matters: It creates upfront commitment and predictable revenue, and members typically spend more to justify the fee.
Punch card (stamp card)
A punch card is a simple loyalty format where a customer collects stamps or punches for each purchase and earns a reward once the card is full.
Example: A café gives a free coffee after ten stamps.
Why it matters: Paper punch cards are cheap but capture no customer data — digital versions do the same thing while enabling personalisation and tracking.
Spend-based loyalty
Spend-based loyalty rewards customers according to how much money they spend, with higher spend unlocking more points or higher tiers.
Example: A customer reaches the next tier after spending $500 in a year.
Why it matters: It ties rewards directly to revenue, but on its own it ignores non-purchase engagement like referrals and reviews.
Frequency-based loyalty
Frequency-based loyalty rewards customers for how often they buy or visit, rather than how much they spend.
Example: A lunch spot rewards a guest for visiting eight times in a month.
Why it matters: For cafés, restaurants, and convenience retail, frequency drives more value than basket size.
Welcome bonus
A welcome bonus is an immediate reward given to a customer for joining a loyalty program, designed to drive sign-ups.
Example: New members get 10% off their first order or 50 bonus points for enrolling.
Why it matters: A strong welcome bonus lowers the barrier to joining and boosts enrollment rate.
Double points
Double points is a promotion that temporarily doubles the points customers earn, used to drive activity during a set period.
Example: A brand runs a "double points weekend" to lift sales in a slow period.
Why it matters: It's a flexible lever to boost engagement and spend without a permanent discount.
Surprise and delight
Surprise and delight is a loyalty tactic of giving customers unexpected, unadvertised rewards to build emotional connection.
Example: A brand sends a top customer a surprise birthday gift not listed in the program terms.
Why it matters: Unexpected rewards create memorable moments that deepen emotional loyalty at low cost.
Loyalty app
A loyalty app is a branded mobile application where customers track points, rewards, and tier status, and receive personalised offers.
Example: A retailer's app shows a customer's balance, available rewards, and a location-based offer.
Why it matters: An app is a direct, high-engagement channel that captures behavioural data a website alone can't.
Customer engagement
Customer engagement is the depth and frequency of a customer's interactions with a brand — purchases, app use, reviews, referrals, and more.
Example: A highly engaged customer buys regularly, opens emails, and leaves reviews.
Why it matters: Engagement is a leading indicator of loyalty and retention; loyalty programs are designed to increase it.
Brand advocacy
Brand advocacy is when loyal customers actively promote a brand to others through referrals, reviews, and word of mouth.
Example: A customer recommends a brand to friends and shares purchases on social media.
Why it matters: Advocates are a brand's most valuable customers — they drive low-cost acquisition and signal strong emotional loyalty.
AI & data
AI loyalty
AI loyalty is the use of artificial intelligence to personalise and automate a loyalty program — predicting behaviour, segmenting customers in real time, and choosing the best action for each individual.
Example: An AI model flags customers likely to churn and triggers a win-back offer before they leave.
Why it matters: It shifts loyalty from reactive, one-size-fits-all campaigns to real-time, individually relevant decisions.
Predictive loyalty
Predictive loyalty uses historical and real-time data to anticipate customer actions — like churn, purchase, or redemption — before they happen, so brands can act early.
Example: A model predicts a customer is 85% likely to lapse in 30 days and prompts a timely re-engagement.
Why it matters: Acting before churn is far cheaper and more effective than winning a customer back afterwards.
Propensity modeling
Propensity modeling uses machine learning to calculate the likelihood of a customer taking a specific action — churning, buying, or redeeming — expressed as a real-time score.
Example: "Customer B is 90% likely to buy running shoes if shown a 10% discount."
Why it matters: It lets brands target the right offer to the right customer instead of blanket promotions.
Next Best Action (NBA)
Next Best Action is a framework that takes a customer's propensity scores and selects the single best move to make for that individual right now, weighing business value against customer value.
Example: For an at-risk high spender, the NBA is early sale access rather than a margin-eroding discount.
Why it matters: It turns predictive data into a concrete, automated decision for each customer.
Zero-party data
Zero-party data is information a customer intentionally and proactively shares with a brand — such as preferences or intentions — unlike data inferred from behaviour. It differs from first-party data, which a brand observes from clicks and purchases and may misread (a purchase could be a gift). Because the customer states zero-party data directly, it's the most accurate basis for personalisation — and as third-party cookies disappear, it's becoming essential.
Example: A member tells a brand their birthday and preferences in exchange for tailored offers.
Why it matters: As third-party cookies disappear, it's the most accurate basis for personalisation because customers state it directly.
First-party data
First-party data is information a brand collects directly from its own interactions with customers, such as purchase history and website behaviour.
Example: A brand records that a customer bought size-10 running shoes last month.
Why it matters: It's owned, reliable data — but unlike zero-party data, it's inferred from behaviour, so intent must be guessed.
Single Customer View (SCV)
A Single Customer View is one unified profile that combines all of a customer's data — online, in-store, app, and support — into a single real-time record.
Example: A retailer sees one customer's web browsing, in-store purchases, and app activity in one profile.
Why it matters: It removes channel blind spots and is the foundation for accurate personalisation and segmentation.
Customer segmentation
Customer segmentation is the practice of grouping customers by shared characteristics or behaviour — such as spend, engagement, or loyalty status — to target them with relevant offers.
Example: A brand sends lapsed members a win-back offer and VIPs an exclusive launch invite.
Why it matters: Relevant, segmented messaging outperforms one-size-fits-all campaigns on engagement and conversion.
Personalization
Personalization is tailoring offers, content, and communication to an individual customer based on their data — preferences, history, and behaviour — rather than sending everyone the same message.
Example: A brand recommends products based on a customer's past purchases and stated preferences.
Why it matters: Personalised messaging consistently outperforms generic campaigns, and loyalty data (especially zero-party data) makes it far more accurate.
Real-time personalization
Real-time personalization is delivering offers or content based on a customer's live behaviour and context — location, time, and recent activity — at the moment it's most relevant.
Example: A member near a store gets a push notification for their usual order at their usual time.
Why it matters: Timely, contextual offers convert far better than scheduled batch campaigns.
Customer Data Platform (CDP)
A Customer Data Platform (CDP) is software that unifies customer data from every source into a single database, creating one profile per customer that other tools can use.
Example: A CDP combines web, app, POS, and email data so every system sees the same customer profile.
Why it matters: A CDP is the foundation for accurate segmentation and personalisation, and loyalty data is one of its most valuable inputs.
CRM (Customer Relationship Management)
CRM (Customer Relationship Management) is software for managing a brand's interactions and relationships with customers across sales, service, and marketing.
Example: A brand uses a CRM to track every customer's history and communications in one place.
Why it matters: Loyalty programs feed CRM systems richer data — like tier and emotional loyalty — so customer communications reflect real loyalty, not just transactions.
Restaurant & omnichannel loyalty
Omnichannel loyalty
Omnichannel loyalty is a program that connects every customer touchpoint — physical stores, ecommerce, mobile app, and support — into one unified, real-time profile, so rewards and history follow the customer everywhere. It differs from multi-channel loyalty, where each channel runs in its own silo and a customer's in-store and online activity never join up. True omnichannel loyalty means a customer earns points in-store and sees the same balance online seconds later.
Example: A customer earns points in-store and redeems them online, with one synced balance.
Why it matters: It removes channel silos and is essential for retailers and restaurants selling both in person and online.
Digital loyalty
Digital loyalty is a loyalty program run through apps, mobile wallets, and online profiles rather than physical cards or paper punch cards.
Example: A café replaces paper stamp cards with an app that tracks visits and rewards automatically.
Why it matters: Digital programs capture customer data and enable personalisation that paper cards can't.
Visit-based loyalty
Visit-based loyalty rewards customers for how often they visit or order, rather than only how much they spend.
Example: A restaurant gives a free coffee on a guest's fifth visit of the month.
Why it matters: For restaurants and hospitality, frequency matters more than basket size — the goal is one more visit.
Multi-location loyalty
Multi-location loyalty is a program that keeps a customer's points, tier, and rewards consistent across every branch or store of a business.
Example: A diner earns points at one location and redeems them at another, with one balance.
Why it matters: It's essential for chains and franchises, where customers expect recognition at any location.
Multi-brand loyalty
Multi-brand loyalty lets a company run consistent loyalty across several brands it owns, so customers are recognised across all of them.
Example: A restaurant group runs one loyalty system across its casual and premium brands.
Why it matters: It maximises the value of a shared customer base across a portfolio of brands.
Wallet passes
Wallet passes are digital loyalty cards stored in Apple Wallet or Google Wallet that let customers carry and use their membership from their phone.
Example: A member adds their loyalty card to Apple Wallet and scans it at the register.
Why it matters: They remove the friction of physical cards and enable location-based notifications.
In-store enrollment
In-store enrollment is the process of signing customers up to a loyalty program at a physical location, often via a QR code or the point of sale.
Example: A customer scans a QR code at the till and joins the program in seconds.
Why it matters: Frontline enrollment is a primary growth channel for retail and restaurant loyalty.
Retail & ecommerce loyalty
Ecommerce loyalty program
An ecommerce loyalty program is a loyalty program built for online stores, rewarding customers for online purchases, reviews, referrals, and account activity to drive repeat orders.
Example: An online shop gives points for every order and a bonus for writing a product review.
Why it matters: It lifts repeat purchase rate and average order value, and captures customer data that improves email and SMS targeting.
Retail loyalty program
A retail loyalty program is a loyalty program built for physical and multi-location retail, connecting in-store purchases (via the POS) to a customer's rewards and profile.
Example: A shopper earns points at the till in any branch and redeems them at another location or online.
Why it matters: Retail loyalty must work across every store and channel, so points and status stay consistent wherever a customer shops.
Omnichannel retail loyalty
Omnichannel retail loyalty unifies a customer's in-store and online loyalty into one profile and balance, so their rewards and history follow them across every channel.
Example: A customer earns points online, gets a push offer, and redeems it in-store — all on one account.
Why it matters: Modern retail customers move between web, app, and store, and expect to be recognised as the same person everywhere.
VIP program
A VIP program is the top level of a loyalty program, offering exclusive rewards and recognition to a brand's highest-value customers.
Example: Top-tier members get early access to launches, free shipping, and invitations to private events.
Why it matters: VIP treatment retains the most profitable customers and turns them into advocates, at low cost through experiential perks.
Average Order Value (AOV)
Average Order Value is the average amount a customer spends per order.
Example: $10,000 in revenue across 200 orders is an AOV of $50.
Why it matters: Loyalty programs aim to lift AOV through incentives like bonus points at higher spend thresholds; a higher member AOV shows the program is working.
Win-back campaign
A win-back campaign is a targeted effort to re-engage customers who have lapsed or stopped purchasing, often triggered automatically by loyalty or behavioural signals.
Example: A member who hasn't bought in 90 days receives a "we miss you" offer or bonus points.
Why it matters: Recovering an existing customer is far cheaper than acquiring a new one, and loyalty data pinpoints exactly who to target.
Shopify loyalty app
A Shopify loyalty app is a loyalty platform that integrates directly with the Shopify ecommerce platform to run points, tiers, and referrals for online stores.
Example: A Shopify store installs a loyalty app to award points at checkout automatically.
Why it matters: Many loyalty platforms are Shopify-only; brands that also sell in-store or run restaurants need a platform that works beyond Shopify, across every channel.
Technical & integration
Loyalty API integration
A loyalty API integration is a connection that lets a loyalty platform exchange data with other systems — like a POS, ecommerce platform, or email tool — so loyalty events and rewards work across a brand's whole stack.
Example: A loyalty platform integrates with Klaviyo so points and tier data trigger email and SMS flows.
Why it matters: Integrations turn loyalty from a standalone app into connected infrastructure powering cross-channel personalisation.
POS integration
A POS integration connects a loyalty program to a point-of-sale system, so in-store purchases earn and redeem loyalty automatically at the register.
Example: A customer's in-store purchase adds points to their account without any manual entry.
Why it matters: It's essential for retail and restaurants — without it, in-store loyalty is manual and error-prone.
Loyalty events / webhooks
Loyalty events (delivered via webhooks) are real-time signals a loyalty platform sends when something happens — points earned, a tier change, a referral — so other tools can react instantly.
Example: A "tier upgraded" event triggers a congratulations email in the brand's marketing tool.
Why it matters: Real-time events enable automation that fires the moment a customer acts, not hours later.
Two-way sync
Two-way sync is an integration where data flows in both directions — a loyalty platform sends data to another tool, and that tool can trigger loyalty actions back.
Example: A marketing platform triggers a coupon to be assigned in the loyalty system straight from a campaign.
Why it matters: It removes the need for a separate build per campaign and lets business logic and rewards work together.
No-code loyalty
No-code loyalty is a platform that lets teams build and manage loyalty programs through a visual interface, without developers or custom coding.
Example: A marketer sets up tiers, rules, and rewards from a dashboard in an afternoon.
Why it matters: It removes developer bottlenecks, letting marketing teams launch and iterate fast.
Loyalty metrics & KPIs
Customer Lifetime Value (CLV)
Customer Lifetime Value is the total revenue a business can expect from a single customer over the entire span of their relationship with the brand. It's often the metric loyalty programs are ultimately judged on, because a successful program should measurably raise CLV for members versus non-members. Raising CLV even slightly across a customer base compounds into significant long-term revenue.
Example: A customer who spends $200 a year for five years has a CLV of about $1,000.
Why it matters: It's the ultimate measure of loyalty success — a good program measurably increases CLV versus non-members.
Repeat purchase rate
Repeat purchase rate is the percentage of customers who buy more than once from a brand in a given period.
Example: If 300 of 1,000 customers make a second purchase, the rate is 30%.
Why it matters: It's direct evidence a program works — members should show a higher repeat rate than non-members.
Redemption rate
Redemption rate is the percentage of earned loyalty rewards that customers actually redeem.
Example: If members redeem 400 of 1,000 issued rewards, the rate is 40%.
Why it matters: It shows whether rewards are desirable and easy to claim.
Churn rate
Churn rate is the percentage of customers or loyalty members who stop engaging with a brand over a given period.
Example: If 50 of 1,000 members go inactive in a quarter, quarterly churn is 5%.
Why it matters: Loyalty programs are designed to reduce churn; a rising rate flags fading relevance.
Loyalty KPIs
Loyalty KPIs are the key metrics used to measure a program's health and return — enrollment rate, active member rate, redemption rate, repeat purchase rate, CLV, churn rate, and program ROI.
Example: A brand tracks enrollment, redemption, and repeat purchase monthly, comparing members vs non-members.
Why it matters: The members-vs-non-members gap is the real proof a program is working.
Enrollment rate
Enrollment rate is the percentage of customers who join a loyalty program out of the total eligible customer base.
Example: If 2,000 of 10,000 customers join, the enrollment rate is 20%.
Why it matters: It's the foundational growth metric — a low rate signals weak program visibility or an unappealing value proposition.
Active member rate
Active member rate is the percentage of enrolled loyalty members who have engaged with the program within a set period, such as the last 90 days.
Example: If 600 of 2,000 members earned or redeemed points last quarter, the active rate is 30%.
Why it matters: Enrollment is only step one — the active member rate shows whether the program stays relevant over time.
Program ROI
Program ROI compares the total financial gains a loyalty program generates (repeat purchases, higher AOV, reduced churn) against its total costs (platform fees, reward costs, marketing).
Example: A program returning $5 for every $1 spent has a 5:1 ROI.
Why it matters: It's the bottom-line justification for the program's existence and guides budget decisions.
Net Promoter Score (NPS)
Net Promoter Score (NPS) measures customer loyalty by asking how likely customers are to recommend a brand on a 0–10 scale. It was created by Fred Reichheld at Bain & Company in 2003.
Example: A brand surveys members and scores the share of promoters minus detractors.
Why it matters: High NPS among loyalty members shows the program builds advocates, not just transactions.
TRIFFT-specific concepts
Emotional Loyalty Score (ELS)
The Emotional Loyalty Score (ELS) is TRIFFT's proprietary, real-time measure of how emotionally attached each customer is to a brand, calculated from behaviour — tier progression, reward interactions, app engagement, and zero-party data — rather than spend alone. Most loyalty software measures only transactions, so it can't tell a genuine advocate apart from a customer who only buys on discount. The ELS makes that difference visible and scoreable, so brands can target each customer by how they actually feel.
Example: A brand uses the ELS to tell genuine advocates apart from discount-driven buyers and targets each differently.
Why it matters: It lets brands act on why a customer buys, protecting margin instead of sending blanket discounts.
Customer clusters (Ghosts, Mercenaries, Advocates, Cheerleaders)
TRIFFT's customer clusters are four behavioural segments derived from the Emotional Loyalty Score: Ghosts (disengaged, near churn), Mercenaries (deal-hunters), Advocates (steady, reliable buyers), and Cheerleaders (highest-value brand evangelists).
Example: TRIFFT flags a growing group of Mercenaries so a brand can shift them toward advocacy without margin-eroding discounts.
Why it matters: Each cluster has its own best next action, so brands treat customers by their real relationship, not one blanket approach.
Loyalty intelligence
Loyalty intelligence is the strategic layer that turns raw loyalty data into actionable signals — identifying who each customer is emotionally and what action will move them — to direct marketing execution.
Example: TRIFFT supplies emotional loyalty signals that tell a marketing AI exactly who needs winning back and who needs rewarding.
Why it matters: An AI agent is only as good as the intelligence directing it — loyalty intelligence is what makes automated marketing act on genuine loyalty, not guesswork.
