27 min read
14 Secrets to a Subscriptions Business Model with Your Company
The subscription business model is becoming a serious growth engine for business-to-consumer (B2C) brands. Restaurants, convenience stores, and...
Platform
What is Paytronix Guest Engagement Suite?
Combining online ordering, loyalty, omnichannel messaging, AI insights, and payments in one suite. Paytronix delivers relevant, personal experiences, at scale, that help improve your entire digital marketing funnel by creating amazing frictionless experiences.
A Complete Guest Engagement Suite
Online Ordering
Acquire new customers and capture valuable data with industry leading customization features.
Loyalty
Encourage more visits and higher spend with personalized promotions based on individual activity and preferences.
Catering
Grow your revenue, streamline operations, and expand your audience with a suite of catering tools.
Kiosks
Boost revenue and loyalty with self-service kiosks.
Payments
Drive brand engagement by providing fast, frictionless guest payments.
In Restaurant Ordering
Ordering inside your four walls with Kiosks and Pay-At Table
Solutions
Paytronix Guest Engagement Solutions
We use data, customer experience expertise, and technology to solve everyday restaurant and convenience store challenges.
FlightPaths are structured Paytronix software onboarding journeys designed to simplify implementation and deliver maximum ROI.
Customer Success Plans (CSPs) are tiered service offerings designed to help you get the most from your Paytronix software, whether you prefer self-guided support or hands-on partnership.
Contactless Experiences
Accommodate your guests' changing preferences by providing safe, efficient service whether dining-in or taking out.
Customer Insights
Collect guest data and analyze behaviors to develop powerful targeted campaigns that produce amazing results.
Marketing Automation
Create and test campaigns across channels and segments to drive loyalty, incremental visits, and additional revenue.
Mobile Experiences
Provide convenient access to your brand, menus and loyalty program to drive retention with a branded or custom app.
Subscriptions
Create a frictionless, fun way to reward your most loyal customers for frequent visits and purchases while normalizing revenues.
Employee Dining
Attract and retain your employees with dollar value or percentage-based incentives and tiered benefits.
Order Experience Builder
Create powerful interactive, and appealing online menus that attract and acquire new customers simply and easily.
Loyalty Programs
High-impact customizable programs that increase spend, visit, and engagement with your brand.
Online Ordering
Maximize first-party digital sales with an exceptional guest experience.
Integrations
Launch your programs with more than 450 existing integrations.
Loyalty Programs
Deliver the same care you do in person with all your digital engagements.
Online Ordering
Drive more first-party orders and make it easy for your crew.
Loyalty Programs
Digital transformations start here - get to know your guests.
Online Ordering
Add a whole new sales channel to grow your business - digital ordering is in your future.
Integrations
We work with your environment - check it out
Tobacco Reporting
Comply with AGDC 2026 DTP Requirements
Company
We are here to help clients build their businesses by delivering amazing experiences for their guests.
News/Press
A collection of press and media about our innovations, customers, and people.
Events
A schedule of upcoming tradeshows, conferences, and events that we will participate in.
Careers
Support
Paytronix Login
Order & Delivery Login
Resources
Paytronix Resources
Learn how to create great customer experiences with our free eBooks, webinars, articles, case studies, and customer interviews.
FlexPoint Service Catalog
Access FlexPoints are a cost-effective, flexible way to access our value-added services, to ensure you get greater impact from your Access software solution.
See Our Product In Action
E-Books
Learn more about topics important to the restaurant and c-store customer experience.
Reports
See how your brand stacks up against industry benchmarks, analysis, and research.
Blog
Catch up with our team of in-house experts for quick articles to help your business.
Webinars
Webinars to help you learn strategies to use customer loyalty and rewards programs to increase sales and revenue for restaurants and retailers.
Worksheets
Practical templates built for the decisions that matter: loyalty program design, menu engineering, guest engagement strategy, and more. Download any worksheet directly, no form required.
Case Studies
Learn how brands have used the Paytronix platform to increase revenue and engage with guests.
C-stores using location-based digital ordering are generating $2.30 more per fueling transaction from guests who are already there. This report shows exactly how they do it.
12 min read
Julia Bigwood
Feb 10, 2026
A digital ordering system for restaurant operations takes each guest order from the online menu into the restaurant’s fulfillment workflow. When the system routes orders cleanly and captures usable guest data, each transaction becomes easier to manage and more valuable after the sale.
That makes the system a commercial decision as much as a technology choice. Its value depends on what the restaurant keeps from each order and how effectively it helps bring the guest back.
Results vary with the platform and how it is configured. The five benefits below show where the system can improve restaurant performance:
A digital ordering system manages the online ordering process from a guest selecting menu items to the restaurant receiving a confirmed ticket. The guest-facing side usually sits on the restaurant’s website or app, while the operational side connects that order with the tools used to fulfill it.
The ordering platform presents the menu and handles checkout. The POS records the transaction and routes the ticket to a kitchen display system (KDS) or printer. If the guest identifies themself and consents, the platform can also attach the order data to their profile.
Third-party marketplaces such as DoorDash and Uber Eats operate as separate ordering channels with their own discovery and checkout experiences. An integration can send those orders into the same POS and kitchen workflow, allowing the restaurant to manage them alongside its own online food ordering system.
Some platforms also offer table reservations through the same interface, although this functionality sits alongside the ordering system because making a reservation does not generate a kitchen ticket.
The right digital sales mix depends on the restaurant’s format and how guests prefer to order. Operators also need to consider the economics of each channel.
Public restaurant companies provide useful reference points, although their reporting periods and definitions differ. The figures below show the range across several formats rather than a target every restaurant should pursue.
|
Restaurant format |
Reported digital sales mix |
Context |
|
CAVA, fast casual |
37.9% in fiscal 2025 |
Up from 36.4% in 2024, an increase of 1.5 percentage points. CAVA SEC filing |
|
Chipotle, fast casual |
36.7% in 2025 |
Up from 35.1% in 2024, an increase of 1.6 percentage points. Chipotle 2025 results |
|
Domino’s, delivery-led pizza |
More than 85% of U.S. retail sales in 2025 |
Digital ordering is already the dominant channel for the brand. Domino’s results |
|
Yum Brands, global multi-brand QSR |
Approximately 57% in Q2 2025 |
This was a record quarterly digital mix across its global system. Yum SEC filing |
These percentages measure total digital activity rather than first-party ordering alone. Chipotle explicitly includes third-party delivery aggregators, while other brands apply their own reporting definitions. Operators should use the figures as directional comparisons and track revenue from direct ordering separately from revenue generated through third-party marketplaces.
On a $35 order, the channel fee determines how much revenue reaches the restaurant. The table applies current Uber Eats marketplace fee tiers and uses an illustrative 3% payment-processing rate for a direct order.
|
Channel cost assumption |
Fee deducted |
Channel revenue remaining |
Difference from direct |
|
Direct order with 3% payment processing |
$1.05 |
$33.95 |
Baseline |
|
Marketplace order with 20% commission |
$7.00 |
$28.00 |
$5.95 less |
|
Marketplace order with 25% commission |
$8.75 |
$26.25 |
$7.70 less |
|
Marketplace order with 30% commission |
$10.50 |
$24.50 |
$9.45 less |
The direct-order calculation excludes any monthly software subscription, which should be divided across the restaurant’s direct order volume. These figures show channel revenue before food, labor, packaging, and fulfillment costs.
The best digital ordering system for restaurants depends on how well it fits the operation it will support. A disciplined comparison keeps the decision tied to day-to-day requirements rather than the impression created during a product demo.
Feature names can hide major differences in how a system works. Evaluate these six capabilities using a workflow that resembles your own:
Headline pricing only becomes useful when applied to the restaurant’s expected order volume. Compare each proposal over 12 months and include every charge required to run the system as intended.
|
Pricing model |
How the cost behaves |
|
Commission-based |
The provider deducts a percentage from each order, so total spending rises with digital sales. |
|
Flat-fee |
The restaurant pays a recurring subscription, which keeps the base platform cost predictable. Add-ons may increase the total. |
|
Free-entry |
The entry-level plan has no monthly platform fee, but processing charges remain and some functions may require an upgrade. |
Request written answers to the following questions before comparing totals:
Use the answers to calculate the annual cost at the restaurant’s expected volume. That figure gives every option a common basis for comparison.
Restaurant format changes which capabilities deserve the most weight. Use the matrix below to focus each evaluation on the conditions the system will face during a normal service.
|
Restaurant type |
Give most weight to |
Test during the demo |
|
Independent restaurant |
Simple daily management |
Can the owner update the menu and resolve routine order issues without IT help? |
|
Multi-unit brand or QSR |
Control across locations |
Can the central team set standards while local managers adjust availability within their permissions? |
|
Coffee shop |
Fast mobile checkout during peak periods |
Time a typical mobile order from menu entry to payment. Check how quickly staff can mark an item unavailable. |
|
Food truck |
The ability to change operating details quickly |
Can staff update pickup information from a mobile device? Check how quickly they can pause orders when capacity is reached. |
|
Catering business |
Scheduled, higher-value orders |
Can the system enforce lead times and collect payment for advance orders without manual follow-up? |
If the operation combines formats, score each workflow separately. A shared platform needs to accommodate those differences without forcing every location into the same process.
Two platforms may both claim POS compatibility while relying on very different workflows once orders begin arriving. Operators need to see how each connection functions during service and whether it performs consistently over time.
Direct integration passes the submitted ticket into the POS, which then sends it to the kitchen display system or printer. A tablet-based setup displays the order separately and requires an employee to rekey it before preparation can begin.
|
Workflow point |
Direct POS integration |
Tablet-based workaround |
|
Staff handling |
Order data enters the POS without routine rekeying. Staff intervene when an exception occurs. |
An employee monitors the tablet and transfers each order into the POS. |
|
Menu synchronization |
Connected menu management can publish approved changes across integrated channels. |
Staff may need to repeat menu changes in each ordering channel. |
|
Error exposure |
Guest selections remain attached to the ticket as it moves into production. |
Manual transcription creates another point where order details can change. |
|
Prep-time variance |
The ticket reaches the production queue as soon as the connected systems accept it. |
Preparation depends on how quickly an employee notices and rekeys the order. |
|
End-of-day reconciliation |
The POS records each digital order according to the configured channel and tender. |
Staff must compare the tablet’s order records with transactions entered into the POS. |
The Paytronix 2025 Online Ordering and Catering Report found that integrating kitchen and ordering systems reduced fulfillment errors by 22%. Results depend on the configuration, so operators should test the connection under live operating conditions.
Run the audit during a pilot or the first full week after launch. Use every digital order where practical. At higher volumes, apply the same sampling rule each day and mark whether each order arrived through direct integration or a tablet.
Record the following measures for seven consecutive operating days:
|
Measure |
What to record |
Seven-day calculation |
|
Order errors per 100 orders |
Count any order requiring correction because the restaurant’s ticket differs from the guest’s submitted order. |
Error orders ÷ audited orders × 100 |
|
Rekeying time |
Track the time spent entering tablet orders into the POS or correcting failed transfers. |
Total staff minutes and average time per affected order |
|
Remake cost |
Record the ingredient and packaging cost of remakes caused by an order-flow error. |
Total remake cost and average cost per error |
|
Prep-time variance |
Compare the expected ready time with the time the order was actually completed. |
Average minutes early or late and percentage outside the restaurant’s acceptable window |
|
Reconciliation time |
Track the time spent matching ordering-platform records with POS transactions at close. |
Total time for the week and average time per day |
Review orders sent through direct integration separately from those routed through a tablet. Compare the results with the restaurant’s own service targets, then assign each recurring issue an owner before retesting.
Implementation time depends on the restaurant’s technical starting point and the amount of configuration involved.
Paytronix’s current launch playbook describes a two-week path from initial setup to full launch. Use that as a baseline for a straightforward single-location deployment, then extend the schedule as technical dependencies increase.
|
Implementation profile |
Planning range |
What affects the timeline |
|
Straightforward single location |
Around 2 weeks |
The POS is compatible and the menu is ready to import. A guided setup wizard can keep configuration moving. |
|
Single location with added complexity |
3 to 6 weeks |
Custom menu mapping or additional fulfillment rules require more configuration. Delayed access to the POS environment can extend the schedule. |
|
Multi-location or mixed technology stack |
6 to 12+ weeks |
Locations may run different system versions. Central permissions and phased deployment also require coordination. |
These are planning ranges rather than vendor guarantees. Set the date to start selling after configuration is complete and the prelaunch checks have passed.
Complete an end-to-end test before public launch using the devices guests and staff will use. Any failed test needs a named owner and a retest date before ordering opens.
Open public ordering only after the critical order path passes on both the guest and restaurant sides.
A stable ordering channel creates a baseline for post-launch improvement. Operators can test changes against that baseline and keep the ones that increase revenue without disrupting fulfillment.
Modifier prompts can boost sales, but the extra revenue is useful only when the item contributes enough margin and the kitchen can absorb it. Treat each prompt as a menu test and judge it using the measures below:
|
Measure |
How to calculate it |
What it reveals |
|
Attach rate |
Orders containing the prompted item ÷ eligible orders where the prompt appeared × 100 |
Whether guests act on the recommendation |
|
Contribution margin per attachment |
Added selling price − variable cost of the attached item |
How much each accepted prompt contributes |
|
Kitchen impact |
Compare prep-time variance and order-error rates for orders with the item against comparable orders without it |
Whether the added item creates operational friction |
For example, a 12% attach rate on a side that contributes $2.40 adds $28.80 in contribution per 100 eligible orders. If those orders also push prep times beyond the restaurant’s accepted range, revise the prompt or suppress it during peak periods.
Where the POS records counter modifiers reliably, compare the item’s digital attach rate with its in-person rate. That internal comparison is more useful than assuming every digital prompt will outperform a verbal recommendation.
An identifiable order is one the restaurant can associate with a persistent guest profile under its consent rules, allowing the restaurant to recognize future purchases from the same person and use the profile for permission-based follow-up.
Use the following calculation:
Guest data capture rate = identifiable first-party orders ÷ eligible first-party orders × 100
Count an order in the numerator only when it links to a persistent profile. The denominator should include first-party orders where the guest had a clear opportunity to identify themself. Exclude marketplace transactions because the restaurant does not control which identity fields it receives.
For example, if 640 of 800 eligible direct orders connect to guest profiles, the capture rate is 80%. An email address collected solely to send a receipt should not automatically count as marketing consent.
Review the rate by location and by whether the order came through the website or app. If one path underperforms, check whether the identification step is easy to find and whether guests understand the benefit of sharing their details.
Integrate loyalty directly into checkout so members can identify themselves without leaving the order flow. Display available rewards before payment and make previous orders easy to repeat on a later visit.
Judge performance through return behavior rather than assuming loyalty will lift every check. The Paytronix 2025 Online Ordering and Catering Report found that non-loyalty customers had a slightly higher average order value than loyalty customers, $35.97 versus $34.79, while loyal guests returned more often.
The 2026 Paytronix Annual Loyalty Report found that fewer than 50% of first-time guests return, while 95% of those who reach a fourth visit come back again.
Track the percentage of new members who reach a fourth visit, along with the 90-day repeat-order rate. Review average order value separately so operators do not misread smaller but more frequent orders as weak performance.
Direct ordering adoption depends on giving guests an obvious route to order through the restaurant’s website or app and tracking what happens once they get there. That evidence keeps promotional decisions tied to completed orders as well as traffic.
Use one location-specific ordering URL wherever the restaurant promotes direct ordering. Each link should take the guest to the menu or location selector with as few intermediate steps as possible.
Use one scorecard for the first 90 days and review it weekly. Once results stabilize, move to monthly reporting without changing the definitions.
|
Measure |
Standard calculation |
Segment by |
|
Direct digital sales share |
First-party digital revenue ÷ total restaurant revenue × 100 |
Location and reporting period |
|
Ordering conversion rate |
Completed first-party orders ÷ direct-ordering sessions × 100 |
Device and traffic source |
|
Channel cost per order |
Channel-specific fees and allocated platform costs ÷ orders through that channel |
Direct and marketplace |
|
Average order value |
Order revenue ÷ completed orders |
Channel and loyalty status |
|
Modifier attach rate |
Orders containing the prompted item ÷ eligible orders shown the prompt × 100 |
Item and daypart |
|
Order errors per 100 orders |
Error orders ÷ audited orders × 100 |
Order route and location |
|
Identifiable guest rate |
Identifiable first-party orders ÷ eligible first-party orders × 100 |
Website or app and location |
|
90-day repeat-order rate |
Identifiable guests who reorder within 90 days ÷ eligible first-time identifiable guests × 100 |
First-order month and location |
Give each measure a target and named owner. Annotate operational or marketing changes that may explain a sudden shift, then investigate location-level exceptions before changing the system across the business.
Restaurant teams often need a few details before deciding whether a digital ordering system fits their operation. The answers below clarify the questions that most often affect that decision.
A restaurant digital ordering system lets guests place orders through a website or app. It sends each confirmed order into the restaurant’s fulfillment workflow, often through a direct POS connection.
No, a digital ordering system usually works alongside the POS. Direct integration sends online orders into it automatically, while a tablet-based setup requires staff to enter them.
Pricing varies by provider and expected order volume. Some systems charge a percentage of each order, while others use a recurring subscription or free-entry plan. Payment processing and required add-ons increase the total.
A straightforward single-location setup with a compatible POS may take around two weeks. Added configuration or multiple locations can extend the timeline to several weeks or longer.
Yes, restaurants can accept direct orders through their website or app while continuing to use third-party marketplaces. With the right integration, orders from both channels can enter the same POS and kitchen workflow.
No, a mobile-friendly ordering page on the restaurant’s existing website can handle direct orders. An app may suit brands with frequent repeat customers or an established loyalty program.
Direct ordering gives restaurants greater control over what they keep from each sale and over the guest relationship that follows it. When operators choose a system that fits the operation and monitor its performance after launch, it can become a dependable part of a healthier revenue mix.
Download the 2025 Economic Resilience Toolkit to carry the same focus on revenue retention into the wider operation. It combines a guide with practical worksheets for finding further ways to manage cost pressure and protect profitability.
27 min read
The subscription business model is becoming a serious growth engine for business-to-consumer (B2C) brands. Restaurants, convenience stores, and...
14 min read
In the rush to get online during the pandemic, many operators chose simple add-on solutions from POS providers, joined third-party marketplaces, or...
1 min read
Happy Halloween!