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Digital Ordering in 2025: The Conversion Tweaks That Add Orders

Digital Ordering

The shift to digital ordering represents one of the most significant transformations in restaurant industry history. What accelerated dramatically during the pandemic has evolved into permanent consumer behavior changes that continue reshaping the industry in 2025. This analysis examines the latest data on digital ordering adoption, consumer preferences, and the implications for restaurant operators based on research from industry leaders including Toast, the National Restaurant Association, and consumer behavior studies.

The Scale of Digital Adoption

Digital ordering has moved from convenience to necessity, with adoption rates stabilizing at levels that would have seemed extraordinary just five years ago.

67%
of restaurants run loyalty programs with digital components
310M
smartphone users in USA (2024)
33%
increase in social media video engagement for restaurants
App-Based
Expected largest ghost kitchen deployment segment

Channel Preferences: Where Customers Order

Understanding which channels customers prefer is essential for resource allocation and technology investment decisions.

Third-Party Delivery Apps

According to Statista's analysis of the delivery market, DoorDash maintained its position as the leading online meal delivery company in the United States as of January 2024, followed by Uber Eats and Grubhub. These platforms dominate consumer awareness and usage for delivery ordering.

However, the relationship between restaurants and third-party platforms remains complex:

Direct Digital Ordering

Direct ordering through restaurant websites and apps represents a growing preference among both restaurants and consumers. Benefits include:

"Consumer preference for digital ordering options has solidified into a baseline expectation. Restaurants offering comprehensive online ordering capabilities are better positioned to capture market share, particularly among younger demographics."

Social Media Ordering

The integration of ordering capabilities into social media platforms represents an emerging channel. With videos posted on social media for restaurant promotions seeing a 33% increase in overall engagements according to Gitnux Marketdata Report 2024, the connection between social discovery and ordering is strengthening.

Generational Differences in Digital Behavior

Consumer adoption of digital ordering varies significantly by age demographic, with important implications for restaurant targeting:

Generation Digital Ordering Preference Key Behaviors
Gen Z (18-26) High - Expect digital-first Mobile apps, social discovery, sustainability focus
Millennials (27-42) High - Convenience driven Loyalty programs, customization, speed emphasis
Gen X (43-58) Moderate - Mixed preference Value quality assurance, phone backup option
Boomers (59-77) Lower - Prefer traditional Phone ordering, value human interaction

Key Trends Shaping Digital Ordering in 2025

1. Omnichannel Expectations

Consumers expect seamless experiences across channels. A customer might discover a restaurant on social media, browse the menu on their laptop, order through a mobile app, and pick up in person—all while expecting their preferences and loyalty points to follow them.

2. Personalization at Scale

Digital ordering systems enable unprecedented personalization. From remembering past orders to suggesting items based on preferences, customers increasingly expect experiences tailored to them. Research from McKinsey indicates that 71% of consumers expect companies to deliver personalized interactions.

3. Subscription and Membership Models

Subscription ordering—monthly fees for free delivery or discounts—is gaining traction, particularly among frequent users. These models create predictable revenue for restaurants while building customer loyalty.

4. Sustainability Information

Particularly among younger consumers, digital ordering interfaces that provide sustainability information—packaging type, carbon footprint, locally-sourced ingredients—increasingly influence ordering decisions.

5. Voice and AI Integration

Voice-activated ordering through smart speakers and AI-assisted ordering through chatbots represent emerging interfaces that will likely expand significantly in the coming years.

The Psychology of Digital Ordering

Digital ordering changes consumer behavior in measurable ways that restaurants can leverage:

Higher Average Checks

Research consistently shows that digital orders have higher average values than phone or in-person orders. Factors contributing to this include:

Reduced Decision Pressure

Digital interfaces eliminate time pressure, allowing customers to browse at their leisure. While this can increase decision time, it generally results in higher satisfaction with orders placed.

Visual Influence

Food photography in digital menus significantly affects ordering. Restaurants with professional photography see higher conversion rates and larger orders than those with text-only or poor-quality images.

Operational Implications for Restaurants

The shift to digital ordering requires operational adaptations across restaurant functions:

Kitchen Operations

Technology Infrastructure

Staff Training

Payment Preferences in Digital Ordering

Digital ordering enables payment options that influence customer choice:

Future Outlook

Several emerging developments will shape digital ordering evolution:

AI and Machine Learning

Artificial intelligence is increasingly applied to:

Integration with Smart Home

Voice-activated ordering through smart home devices and integration with smart kitchen appliances represent emerging frontiers that will likely expand significantly.

Regulatory Evolution

As digital ordering becomes dominant, regulatory attention is increasing around:

Strategic Recommendations

Based on the data and trends identified, restaurants should consider the following strategic priorities:

  1. Invest in direct digital channels: While third-party platforms provide discovery, direct ordering preserves margins and customer relationships
  2. Optimize for mobile: With 310 million smartphone users in the US alone, mobile-first design is essential
  3. Implement loyalty integration: Digital ordering and loyalty programs should be seamlessly connected
  4. Focus on personalization: Use data to create experiences that feel tailored to individual customers
  5. Prepare for omnichannel: Ensure consistent experience across all customer touchpoints
  6. Invest in photography: Visual presentation significantly impacts digital ordering behavior
  7. Monitor emerging channels: Social commerce and voice ordering represent growth opportunities

Conclusion

The digital ordering transformation represents a fundamental shift in how restaurants interact with customers. The operators who thrive will be those who treat digital ordering not as an add-on but as a core business function requiring strategic investment, continuous optimization, and genuine integration with overall operations.

The data is clear: digital ordering is no longer optional for restaurants seeking to remain competitive. The question is not whether to embrace digital ordering, but how to do so in ways that enhance customer experience while preserving the operational and financial health of the business.

References and Data Sources

  1. Toast. (2025). Restaurant Operator Insights Report 2025. Digital ordering trends and consumer behavior analysis. pos.toasttab.com
  2. Statista. (2024). Online Food Delivery Market Share and Consumer Behavior. Delivery platform statistics and trends. statista.com
  3. Gitnux Marketdata Report. (2024). Restaurant Social Media Engagement Statistics. Video engagement and social media trends. gitnux.org
  4. McKinsey & Company. (2023). The Value of Getting Personalization Right. Consumer personalization expectations research. mckinsey.com
  5. Coherent Market Insights. (2024). Ghost Kitchen Market Trends: App-Based Deployment. Digital ordering platform analysis. coherentmarketinsights.com
  6. Statista. (2024). Smartphone Users in the United States. Mobile device adoption statistics. statista.com