
"They provided ideas that we hadn't really thought of, which helped our program stand out."
Nuala C.
Director, BrandFire
Loyalty Program Development: Custom Points, Tiers & Apps
Generic loyalty platforms give you a points system that looks like every other loyalty program on the market. Customers earn points, customers redeem points, customers forget about it after a month.
We do loyalty program development for businesses where retention is the business model: reward structures that match your margins, engagement mechanics that fit your customer behavior, and data infrastructure that shows you which loyalty investments actually drive revenue.
Custom loyalty mechanics, points, tiers, cashback, challenges, and coalition programs
Mobile apps and white-label member portals with your brand, not a platform's
Real-time analytics on which rewards drive retention and LTV, not just redemption rates
Loyalty programs shipped across retail, hospitality, and consumer apps since 2015
Bring the problem, the current workflow, or the existing code. We reply with a practical next step within one business day.
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The brief
Good software decisions begin with the constraint, not a list of features or a preferred technology.
Your loyalty program has members but isn't changing their purchase behavior?
Paying a platform license for a generic points system you can't differentiate?
Plain answer
RaftLabs does loyalty program development for retailers and hospitality groups in the US, UK, Ireland, and Australia: points engines, tiered membership, cashback, and receipt OCR. A generic license gives you the same points system as everyone else. Fixed price, mobile app included, full IP ownership.
What to remember
Off-the-shelf software optimizes for the customer who already knows how to earn and redeem points. The members worth winning are the ones choosing between you and a competitor at checkout, and off-the-shelf mechanics rarely move that second group. Points for purchases they would make anyway do not move the decision; tier benefits, targeted win-backs, and rewards priced to your margins do.
McKinsey's loyalty research consistently finds that top-performing loyalty programs boost revenue from redeeming members, through higher purchase frequency, larger baskets, or both. The programs that reach that ceiling are built around one business's economics, not adapted from a platform's default. Recent loyalty program development work includes the AldiFest receipt campaign for Aldi Ireland with BrandFire: 5,000 receipts processed and 2,000 shoppers signed up in its first week. The multi-brand receipt workflow for Musgrave across SuperValu and Centra, and Energia's rewards platform, which cut support tickets by 80% after launch. One team designs the mechanics, builds the points engine and the app, and wires the analytics, with no handoffs between four suppliers. New to this? Our guide to customer loyalty programs covers the types, the ROI benchmarks, and how to decide build versus buy.
Everything on the left should already be true for your business. Even one thing on the right, and a custom program is the wrong spend right now.
Retention is already core to your economics: repeat purchase, subscriptions, or high customer lifetime value.
Enough transaction volume for a program to move real revenue, with POS or e-commerce to integrate against.
You're paying a platform license for generic mechanics you can't differentiate or fully report on.
Pre-launch, or still finding product-market fit with few repeat customers.
A paper punch card or an off-the-shelf widget already does everything you need.
No budget for a custom build.
What's included
The part your customers see is small on purpose. The economics and data underneath it are where the program earns its keep.
Custom earn rules at every level of granularity, by SKU, category, channel, or member segment, with multiplier events for launches and seasonal promotions. Earn rates are built against your actual margin data, and points liability is managed inside the engine with breakage modeling (estimating the share of points that will never be redeemed), configurable expiry, and a monthly liability report for finance.
Multi-tier membership with configurable qualification by spend, transaction count, or composite scoring. Benefits cover earn multipliers, exclusive access, and partner perks. Downgrade grace periods with targeted communications, and automated upgrade nudges that show members the spend needed to reach the next tier. B2B tier structures for distributor and channel partner programs are supported.
Engagement mechanics that drive behavior between purchases, not just at checkout. Mission-based challenges track multi-step goals in real time with progress and push notifications, streak mechanics suit frequency businesses with protection for a single missed visit, and time-limited bonus events fill slow trading periods with a cap on liability. Referral bonuses tracked through unique codes make referral ROI measurable against the bonus cost.
Native iOS and Android apps with your brand identity, not a loyalty platform's generic chrome. Members see point balance, tier progress, transaction history, active challenges, and a browsable reward catalog. In-store earning works by QR code at the POS. Push notifications handle milestones and re-engagement. A responsive web portal shares the same loyalty API, so your POS, app, and web portal read and update the same member data. We handle store submission as part of the project.
Earning and redemption connected at every touchpoint, so members collect and spend across channels without friction. POS (point-of-sale) transactions feed the loyalty API in real time, crediting points before the receipt prints, and redemption applies as a line-item discount at the till. E-commerce connects via order webhooks (Shopify, WooCommerce), and loyalty events sync to your marketing stack (Klaviyo, Braze). For B2B and trade programs, purchase events flow from your ERP or invoicing system (SAP, Sage, NetSuite, Microsoft Dynamics) instead of a till.
For distributors and retailers with no direct checkout to plug into, receipt upload is the right earn mechanic. A member photographs a purchase receipt, and AI-powered OCR (software that reads the text off a receipt photo) extracts the retailer, date, and line items and validates against eligible stores and promotion windows. Duplicate detection and a manual-review queue for low-confidence reads keep the ledger honest without losing legitimate earn. Our published Musgrave case study documents 1,610 receipt submissions from the campaign it powered, and notes the team's internal measurement of store matching improving from roughly 80% to near 99%. See our breakdown of how receipt scanning works end to end for the full validation pipeline.
The retention analytics generic platforms cannot provide, because they never see your full customer data. Member lifetime value (LTV) is tracked by cohort. Program attribution uses a holdout group, members who qualify for the program but are not enrolled, to isolate real lift versus baseline. Reward ROI is measured per offer type. Churn prediction combines login frequency, earn velocity, and redemption recency into a risk score that triggers automated win-back sequences.
Outbound voice agents that call lapsed members, state their balance, and activate a redemption on the call, no app login required, alongside inbound balance and dispute handling. A phone call reaches lapsed members that unread email and push notifications often miss, and every redemption stays connected to your loyalty platform's API.
This is a retention platform first, but it does not have to stop there. Teams modernizing more than loyalty fold it into a broader custom software build, and consumer-facing programs usually pair it with a dedicated loyalty mobile app.
A custom program shows you which loyalty spend actually changes behavior, not just which points got redeemed.
How it works
Every loyalty project runs the same four phases. Scope is locked and price is fixed before development starts.
We map your customer behavior, reward economics, and integration requirements. You leave week 1 with a written scope document and a fixed-price quote. No development starts without your sign-off.
Earn rules, tier structures, and redemption catalog designed before any code is written. Changing an earn rule in a spec document takes an afternoon; changing it after the points engine, the app, and the POS integration are built takes a sprint. That's why the mechanics are designed before any code is written.
A working loyalty platform at a staging URL by the end of sprint one. POS and e-commerce integrations tested against real transaction flows. QA runs in parallel with every sprint, not as a phase at the end.
Production deployment with monitoring active on launch day. 8 weeks of post-launch support included in every project. Points ledger integrity and API uptime watched from day one.
What clients say
Three-year average engagement. Founders and operators describing the work in their own words. No marketing varnish.
Where you land in the range depends on scope, not negotiation:
A European rollout should start with one governed market. Name the brand, country, member cohort, controller, approved purpose, consent record, profiling rule, vendor chain, transfer path, currency, language, rights workflow, support owner, and reward-liability treatment before adding more markets. Migrating names and balances without the consent and processing context leaves the new platform unable to explain how member data may be used.
The Energia and Musgrave projects provide direct Irish and Northern Irish delivery evidence. They strengthen this service page; they do not prove that one program design satisfies every European market. The client and its qualified advisers approve the applicable privacy, consumer, tax, accounting, accessibility, and marketing requirements for each rollout.
A point is easy. Proving the basket earned it is harder. Grocery loyalty is a transaction-evidence system before it is a points screen: shoppers earn against eligible products (SKUs), categories, stores, and household limits, and every accepted award links back to the evidence that justified it.
Earning arrives through two paths. Till (POS) events stream in real time; where there is no checkout to integrate against, members photograph a receipt and software reads the photo (OCR) to extract the store, date, and line items. Each path needs the same backbone: a durable record of the transaction, a versioned earn rule, the balance change, a correction process, and financial reconciliation.
That is the work we shipped for Aldi Ireland with BrandFire: the AldiFest receipt campaign processed 5,000 receipts and signed up 2,000 shoppers in its first week. For Musgrave, a multi-brand receipt workflow ran across SuperValu and Centra with explicit brand boundaries: identity, rules, catalogues, and reporting are separated per brand, and rewards never cross brands unless the commercial and privacy rules approve it.
One measurement discipline we keep on grocery builds: reporting separates recorded transactions from inferred lift. When a client reports a frequency lift, we disclose it as their reported result, never as a forecast for your program. For the full mechanics, see grocery loyalty program development; for the retail-industry view, see our retail industry page.
In trade loyalty the member is a business, not a consumer, and the purchase moment works differently. A contractor buys on account on Tuesday, returns half the order on Thursday, and settles the invoice at month end. Award points at the till and you pay out on stock that came back.
So earn is tied to the invoice run, not the sale: a configurable settlement point (earn on invoice, on payment, or on dispatch), with returns and credits netted out before points land. The failure mode has a name: "phantom earn," points awarded for purchases that were never really purchases.
Where you sell through merchant intermediaries with no checkout to integrate against, earn runs on receipt upload instead: the member photographs the receipt and the backend validates it against your product lines before crediting points. Product-line earn bonuses and tiered rebates steer which lines get bought. That is the mechanic that makes your brand the financially rational choice at the counter. For direct channels, purchase events flow from your ERP or invoicing system (SAP, Sage, NetSuite, Microsoft Dynamics) instead of a till.
That is the model behind Instantor Rewards, the program we built for Sanbra Fyffe's contractor and installer base. Points are visible in the app before the counter transaction. Monthly challenges keep contractors uploading receipts between purchases, and leaderboards are built for a trade audience. For the full consumer-vs-trade comparison, see B2B loyalty program development.
A medspa loyalty program sits next to medical decisions, so the first design rule is a boundary, not a mechanic. A reward engine should not decide whether a patient needs, qualifies medically for, or should accelerate a treatment.
The second rule is classification. In a medspa, "loyalty" can mean recurring membership, prepaid packages, purchase rewards, referrals, wallet passes, rebooking, or patient engagement. These are not interchangeable. Each carries different billing, liability, expiry, refund, disclosure, consent, and privacy rules, so the platform models each one separately instead of collapsing them into a single points balance.
The third is privacy minimization: loyalty workflows carry as little clinical data as possible. If an offer depends on a clinical fact, the system passes only a narrow approved state, eligible or not, instead of copying the underlying record.
We shipped a wallet-card loyalty program for a medical spa on exactly this model: the pass lives in the patient's phone wallet, no app download, balance and tier updated by push. Our medspa industry page carries the full buyer guidance on clinical boundaries.
The mechanics transfer across industries; the program design does not. Start from your industry, then add the growth disciplines that compound it.
B2B loyalty programs
Partner, channel, and reseller programs where the member is a business, not a consumer.
Fintech loyalty programs
Card, wallet, and neobank programs built around transaction data and reward liability.
Healthcare loyalty programs
Patient and member programs that respect clinical privacy constraints from the design stage.
Insurance loyalty programs
Retention and cross-sell programs for carriers, brokers, and agencies.
Referral programs
Turn satisfied customers into the acquisition channel with tracked, rewarded referrals.
Growth marketing
The compounding disciplines, SEO, content, and lifecycle, that make the program grow.
What it costs
Points engine, member app, analytics, and the reward economics that keep the program profitable, scoped to your business.
Generic platforms charge a monthly license for mechanics you can't change and data you never fully see. This is a project you own outright, and most businesses start with the core points engine before adding analytics and tiered rewards.
Starting investment
Fixed-price builds
Priced once we've scoped your program. Full IP ownership, mobile app included, 8 weeks of post-launch support. Most businesses start with the points engine and add analytics and reward tiers as the program grows.
Ownership
Full IP ownership. The code, the app, and your member data are yours. Cancel any time after launch and keep all of it.
No hourly billing
Once we scope your program, that price is locked in writing. No hourly billing, no surprise line items on the final invoice.
Still building the business case? Run your own numbers with our loyalty ROI calculator before the call.
Industry-specific builds
Receipt-scanning loyalty for Aldi Ireland and Musgrave's SuperValu and Centra.
Energia's rewards platform, which cut support tickets by 80% after launch.
Instantor Rewards for Sanbra Fyffe's contractor and installer base.
A wallet-card loyalty program for a medical spa: rewards kept separate from clinical decisions, with memberships, packages, and rewards modeled as separate instruments.
Direct-booking and loyalty mechanics for City Break Apartments.
Work with us
Bring the rough workflow, half-built product, or messy brief. We will map the smallest useful first move, then send scope, timeline, and price in plain English.
We build points-based programs where customers earn and redeem against a catalog, tiered programs where higher status gives access to increasing benefits, cashback programs that return a percentage of spend, challenge and mission-based programs with gamification mechanics, subscription loyalty programs where members pay for premium benefits (Amazon Prime model), coalition programs where multiple brands share a loyalty currency, and B2B loyalty programs for distributor and channel partner incentives. Most programs combine multiple mechanics; the right mix depends on your customer economics and what behavior you want to reinforce.
A SaaS loyalty platform is cheaper and faster when your program fits its model: points, tiers, standard earn-and-burn. Hire a loyalty software development company when the program is the differentiator: custom reward mechanics your competitors cannot copy, deep POS/CRM/payment integrations, receipt scanning or AI validation, multi-brand or coalition logic, or data residency and ownership requirements a shared platform cannot meet. RaftLabs has shipped both. We will tell you when SaaS is the right answer.
A focused loyalty mobile app ships in weeks from scope sign-off, not months of platform wrangling. We build native iOS and Android apps and React Native cross-platform apps for loyalty programs. The app includes the member wallet, point balance and history, reward catalog, challenge and mission tracking, QR or barcode scanning for in-store earning, push notifications for rewards and offers, and referral program integration. The app is fully white-labeled to your brand. We have shipped loyalty mobile apps for consumer brands and hospitality operators including Energia and BrandFire.
Points programs create a financial liability. Every unearned point is money you have promised but not yet delivered. We build the redemption rules, expiry policies, and reward catalog economics to keep the program financially sound. This includes breakage modeling (estimating the share of points that will never be redeemed), reward cost calculation per redemption event, margin thresholds for earn rates by product category, and liability reporting for your finance team. Loyalty software that ignores the economics creates programs that are popular but unprofitable.
A custom loyalty system gives you the retention data that generic platforms do not. This includes member lifetime value (LTV) by cohort and tier, program attribution (which purchases were influenced by loyalty vs. which happened anyway), reward ROI by offer type, churn prediction signals from engagement drop-off, and segment analysis of which customers respond to which reward types. This is the data that tells you whether your loyalty investment is working, not just how many points were redeemed.
Yes, where lapsed members still pick up the phone. An outbound voice agent calls the member, states their current points balance, and activates a redemption on the call, with no app login or web navigation required. A phone call reaches lapsed members that email and push notifications often can't, which is what makes it effective for re-engagement. The same agent handles tier-status updates, dispute resolution (missing points, an unapplied promotion), and inbound balance inquiries, all connected to your loyalty platform's API, whether that's Salesforce Loyalty Management, Annex Cloud, Punchh, or a custom system. TCPA consent (US telemarketing consent rules), opt-out handling, and Do Not Call checks are built into the outbound campaign configuration, not bolted on afterward. Voice AI is a capability we build into programs that need it. It is not a standalone product.
The QR-code fraud frame: cannot I just take a picture of the QR code and scan it as many times as I want? Which program areas have the highest exposure, and how much fraud will you accept? Account takeover, unearned points, duplicate redemption, staff misuse, return-and-reward overlap: map each to ledger controls. Who owns the member data, and can we export it if we leave? Get data ownership, exportability, and whether the vendor stays primary owner of profiles in writing before signing.
Programs are never set-and-forget; the platform must let you tune benefits, tiers, and comms without custom dev. The TCO-scenarios-in-writing frame: price the current state, 2x, and 3x growth, including overage and per-channel fees. The annual license often costs more than implementation; charge-per-change-order creative work is the trap. Can it look and feel like our brand, not a separate system? White-label depth beyond logos, colors, fonts. The inflated-location-count trick: ask physical locations, not offers or cities.
A focused loyalty program covers a points engine, member portal, and admin dashboard. A full loyalty platform adds mobile apps, challenge mechanics, coalition infrastructure, and advanced analytics. The cost depends on the complexity of your reward mechanics, the number of integration points (POS, e-commerce, CRM), and whether you need a mobile app. Every project is scoped and fixed-priced after a discovery call. No hourly billing.
The mechanics don't change; the data rules do. Under GDPR, every loyalty program needs a named data controller, a recorded lawful basis and consent record for each member, and retention and deletion rules for points balances and purchase history, including how profiling (tier qualification, churn scoring) is disclosed. If you're migrating from another platform, we carry over the consent context with the balances, not just the points, so the new system can show why each member's data may be used. Pricing and tax treatment of rewards also differ by market, which is why we roll out one governed market first and your legal advisers sign off the rest. We implement the technical rules they approve.
Members photograph a till receipt and upload it. Software reads the photo (OCR) to extract the store, date, and line items, then checks them against eligible stores and promotion windows before points credit, so every accepted award links back to its evidence and the ledger stays auditable. Fraud controls run underneath: duplicate detection blocks the same receipt being claimed twice, and low-confidence reads go to a manual-review queue instead of auto-crediting. This is the mechanic behind our grocery work, including the AldiFest campaign for Aldi Ireland and the multi-brand receipt workflow for Musgrave's SuperValu and Centra.
At the settlement point you choose: on invoice, on payment, or on dispatch, not at the moment of sale. Trade buyers purchase on account, return stock, and settle at month end, so awarding points at the till would pay out on purchases that may come back. The platform nets returns and credits against earn before points land (the 'phantom earn' problem), and ties earn rules to your ERP or invoicing system: SAP, Sage, NetSuite, or Microsoft Dynamics. Where you sell through intermediaries with no checkout to integrate against, members earn by uploading receipts, which the backend validates against your product lines.
By design rule, not by policy document. The reward engine never sees clinical records: if an offer depends on a clinical fact, the system passes only a narrow approved state, eligible or not, instead of copying the underlying record. Memberships, prepaid packages, purchase rewards, and referrals are modeled as separate instruments with their own billing, expiry, refund, and consent rules, never collapsed into one ambiguous balance. That separation is what lets a medspa run a loyalty program next to medical decisions without the rewards steering them.
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