Unified guest profile
Links POS, app, online ordering, delivery, and Wi-Fi data.
Records visits, spend, favorite items, and dietary preferences.
Tracks marketing consent by channel.
Merges duplicate profiles automatically.
A points program can grow its member count and still change nothing. Discounts go to guests who were already coming, while first-timers never make a second visit. The guest profile sits in the POS, the app, and the delivery platforms, and none of them talk.
Svitla builds restaurant loyalty software around one guest profile across dine-in, pickup, delivery, and catering. Rewards, offers, and messages follow each guest’s real behavior. Marketing teams see which offers bring guests back and which only give margin away.
One menu and one app, with loyalty that has to work the same way at every location.
Several concepts that want one guest profile and rewards guests can earn and spend across brands.
Franchisors who run the program centrally while franchisees fund rewards and see their own results.
Toast data from Q1 2026 shows that only 7% of a restaurant’s guests visit more than once, yet they can drive up to 50% of order volume. The same data shows loyalty members returning at roughly four times the rate of walk-ins.
We analyze visit frequency, spend, channel mix, and churn across your POS and digital channels.
We agree on earning rules, tiers, rewards, and the margin each reward can afford.
POS, app, and ordering data connect into one profile before any campaign goes live.
A few locations run the program first, with control groups to measure real lift.
The program rolls out brand-wide, and offers keep improving through controlled tests.
Below, Svitla shares a sample feature set that forms the core of a restaurant loyalty solution. Each real-life use case is unique, so you should elaborate on the functionality and tailor it to your brands, channels, and guest base.
Links POS, app, online ordering, delivery, and Wi-Fi data.
Records visits, spend, favorite items, and dietary preferences.
Tracks marketing consent by channel.
Merges duplicate profiles automatically.
Supports points, visits, spend tiers, and paid memberships.
Offers item rewards, experiences, and early access.
Lets guests earn and redeem across brands where you allow it.
Controls reward cost by item, location, and daypart.
Builds segments from behavior, such as lapsing or first-time guests.
Triggers offers after the first visit, on birthdays, or after inactivity.
Suggests items based on order history.
Caps offer frequency to protect margin.
Sends push, email, and SMS campaigns.
Shows rewards at the POS, in the app, and in online ordering.
Supports in-app wallets and digital gift cards.
Pauses messages after a guest opts out.
Sends short surveys after visits and orders.
Alerts managers to low scores in real time.
Issues recovery offers within rules you set.
Links feedback to location and shift.
Tracks active members, frequency, and spend against non-members.
Measures incremental lift with control groups.
Reports reward liability and cost by brand and location.
Compares franchisee performance on agreed metrics.
Answer a few simple questions to find out whether you should choose a custom solution or a pre-built restaurant loyalty platform.
Do your POS, app, and online ordering each keep separate guest records?
Do most rewards go to guests who already visit often?
Can you measure the incremental lift of each campaign?
Do you run several brands that could share one program?
Do franchisees need their own results and reward funding?
Has an off-the-shelf loyalty tool limited your program design?
Would churn prediction or personalized offers change your marketing?
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Below, Svitla outlines the ROI factors a restaurant loyalty solution typically affects. Results depend on your guest base, frequency, and current program, so model these on your own data.
First-time guests come back sooner.
Lapsing guests return before they're lost.
Members visit more often than before.
Item suggestions lift average check.
Tier goals encourage larger orders.
Add-on offers match each guest's habits.
Offers go where they change behavior.
Frequency caps protect margin.
Lift reports cut campaigns that don't work.
Rewards pull guests from third-party apps to your own channels.
Direct orders keep guest data and margin in-house.
Delivery guests join the program through inserts and QR codes.
Loyalty software only works if the guest profile is right. A program built on duplicate records rewards the wrong people and can’t prove its value. The build starts with identity, then rewards, then personalization.
We analyze a year of POS and digital data to measure frequency, spend, and churn. We match records across channels to see how fragmented profiles are today. With your marketing and finance teams, we design earning rules, tiers, and reward costs. The result is a program model with expected lift and reward liability.
We build the unified guest profile, consent tracking, and rewards engine. We connect the POS, app, online ordering, and messaging tools. We test every earning and redemption path at the register and online before launch.
We launch in test locations with control groups and measure lift weekly. Churn and offer models train on the new data. The program then rolls out brand by brand, with offers improving through ongoing tests.
A loyalty solution for one brand, with points, rewards at the POS, and basic campaigns, typically starts around $40,000. A multi-brand or franchise system with a unified guest profile, AI offers, and many integrations can reach $250,000 or more. Integration count, program complexity, and personalization scope drive most of the cost.
Want to understand the cost of your restaurant loyalty software?
Calculate the costTell us about your brands, guests, and systems. We’ll send you a tailored estimate for your restaurant loyalty solution.
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With 23 years of experience in engineering hospitality software and practical knowledge of 10+ industries, Svitla offers full-cycle consulting and engineering services to deliver effective restaurant loyalty solutions.
We analyze your guest data and current program. You get a program design with expected lift, reward cost, and a phased roadmap.
We design, build, and test your loyalty solution, from the guest profile to rewards at the register. Our teams cover mobile apps, rules engines, and POS integration.
We audit your current loyalty platform, punch cards, or disconnected apps, then plan the migration. We add what the old program lacked, such as one guest profile or lift measurement. Members and balances move over in phases, with every balance reconciled.
SaaS platforms launch fast and work well for standard programs. They can limit multi-brand earning, franchise funding, and how you use guest data. A custom solution fits your program design, and you own the data and the roadmap.
Yes. We migrate members, balances, and history in phases and reconcile every balance. Guests keep their points and status, and old cards or apps keep working during the switch.
Each campaign runs with a control group that doesn’t get the offer. The difference in visits and spend shows the true lift. We cut or change offers that don’t pay back.
We record consent for each channel and honor it right away. Guests can view and delete their data. We build to privacy laws that apply to your markets, such as CCPA or GDPR.
Where platforms share guest data, orders link to profiles. Where they don’t, packaging inserts and QR codes invite guests to join and order directly next time.
You decide. The system can split reward costs between franchisor and franchisees by rule. Each franchisee sees their own costs and results.