With the global online food delivery market projected to reach $162.6 billion in 2023, restaurant marketing has to work twice as hard just to earn attention before the next tap. At the same time, 51% of consumers say they are more likely to use a business that responds to reviews, and 86% would use Google Maps to find a local spot, turning discovery and reputation into the real battleground. Let’s break down the statistics shaping what gets ordered, booked, and chosen.
Key Takeaways
- 31% of adults say they use online search to find restaurants at least once a week
- 86% of consumers say they would use Google Maps to find a local restaurant
- 40% of consumers are influenced by restaurant brand social media posts in making a dining decision (consumer survey)
- 51% of consumers are more likely to use a business that responds to reviews on at least some platforms
- 60% of small businesses use email marketing (U.S. survey)
- 44% of consumers use restaurant mobile apps at least once per month
- Global online food delivery market size is projected to reach $162.6 billion in 2023
- U.S. restaurant reservations software market is expected to grow to $1.4 billion by 2027
- The global digital out-of-home advertising market is projected to reach $46.3 billion in 2025 (relevant for restaurant promotional signage)
- Email marketing ROI is reported as $36 per $1 spent by a widely cited U.S. study
- SMS marketing ROI of $38 per $1 spent is reported by a survey of marketers
- Google Business Profile calls-to-action drive measurable actions; listings with photos receive 42% more requests for directions
- Average conversion rate for local landing pages is about 4.3% (benchmark)
- Email unsubscribe rates average around 0.2%–0.5% per send (deliverability benchmark)
- Facebook advertising costs rise during peak seasons; U.S. Q4 CPM for retail/dining campaigns averages around $6–$10 (benchmark)
Restaurants win more demand and bookings by mastering online search, fast pages, and review responsive marketing.
Related reading
Customer Behavior
131% of adults say they use online search to find restaurants at least once a week[1]
Verified
286% of consumers say they would use Google Maps to find a local restaurant[2]
Directional
340% of consumers are influenced by restaurant brand social media posts in making a dining decision (consumer survey)[3]
Verified
4Mobile web traffic accounts for more than 50% of restaurant website visits on average (traffic breakdown benchmark)[4]
Verified
534% of consumers have used a voice search feature to find a restaurant (voice search survey)[5]
Verified
627% of consumers prefer restaurant loyalty programs with digital rewards (consumer loyalty survey)[6]
Verified
Customer Behavior Interpretation
Customer behavior in the restaurant industry is increasingly driven by digital discovery and engagement, with 86% of consumers using Google Maps and 31% searching online weekly, while 40% are swayed by brand social posts and 27% prefer digital loyalty rewards.
More related reading
User Adoption
151% of consumers are more likely to use a business that responds to reviews on at least some platforms[7]
Verified
260% of small businesses use email marketing (U.S. survey)[8]
Directional
344% of consumers use restaurant mobile apps at least once per month[9]
Verified
486% of consumers say they use search engines to find local restaurants (2019 survey)[10]
Verified
553% of consumers are willing to share their location data to receive more relevant restaurant offers (survey-based)[11]
Single source
618% of consumers say they use loyalty points/membership programs when choosing a restaurant (survey)[12]
Directional
7In the U.S., 6 in 10 adults (59%) use a smartphone to get directions or location-related information (2019)[13]
Single source
863% of restaurant consumers say they are more likely to order from a restaurant that offers delivery (survey)[14]
Directional
User Adoption Interpretation
For restaurant user adoption, the biggest momentum comes from digital discovery and convenience, since 86% of consumers use search engines for local restaurants and 63% are more likely to order when delivery is available.
More related reading
Market Size
1Global online food delivery market size is projected to reach $162.6 billion in 2023[15]
Verified
2U.S. restaurant reservations software market is expected to grow to $1.4 billion by 2027[16]
Verified
3The global digital out-of-home advertising market is projected to reach $46.3 billion in 2025 (relevant for restaurant promotional signage)[17]
Single source
4Global social media advertising spending is projected to reach $226.2 billion in 2024[18]
Directional
5Online food ordering market in the U.S. is projected to exceed $250 billion in 2024[19]
Verified
6$1.79 billion in Google Ads revenue share from food delivery listings indicates search-driven restaurant demand[20]
Verified
7$37 billion annual spend in the U.S. for digital coupons and promotions (market estimate)[21]
Single source
8$1.2 billion U.S. market for restaurant loyalty apps (estimated by vendor research for 2024)[22]
Verified
9Online food delivery accounted for $109.0 billion in global revenue in 2023 (estimate)[23]
Verified
Market Size Interpretation
With global online food delivery reaching $162.6 billion in 2023 and the U.S. online food ordering market projected to exceed $250 billion in 2024, the Market Size data shows that restaurant marketing is rapidly shifting toward large-scale digital channels and measurable demand generation.
Performance Metrics
1Email marketing ROI is reported as $36 per $1 spent by a widely cited U.S. study[24]
Verified
2SMS marketing ROI of $38 per $1 spent is reported by a survey of marketers[25]
Verified
3Google Business Profile calls-to-action drive measurable actions; listings with photos receive 42% more requests for directions[26]
Verified
4Companies can increase conversions by 4%–6% by improving page speed from 1 to 3 seconds (web performance benchmark relevant to restaurant pages)[27]
Verified
5Search engine traffic accounts for 46% of all website traffic for local businesses (2019 study)[28]
Verified
6A 1-second improvement in page speed can increase conversions by 27% for mobile users (Google benchmark study)[29]
Directional
Performance Metrics Interpretation
For performance metrics in restaurant marketing, the data shows that small efficiency gains drive outsized results, such as faster page speeds improving conversions by 4% to 6% and mobile conversions jumping 27% with just a 1-second improvement, while high ROI channels like email at $36 and SMS at $38 per $1 spent reinforce the payoff of measurable optimization.
More related reading
Cost Analysis
1Average conversion rate for local landing pages is about 4.3% (benchmark)[30]
Directional
2Email unsubscribe rates average around 0.2%–0.5% per send (deliverability benchmark)[31]
Single source
3Facebook advertising costs rise during peak seasons; U.S. Q4 CPM for retail/dining campaigns averages around $6–$10 (benchmark)[32]
Verified
4Mobile accounted for 67% of local digital ad clicks in 2023 (industry measurement)[33]
Directional
Cost Analysis Interpretation
From a cost analysis perspective, the main lever for keeping restaurant marketing efficient is improving mobile driven conversions since mobile made up 67% of local digital ad clicks in 2023 and local landing pages convert at only about 4.3%, meaning better conversion can reduce the impact of higher seasonal Facebook CPMs that average $6 to $10 in the U.S. Q4 for retail and dining campaigns.
More related reading
Industry Trends
152% of restaurant marketers say social media is the most effective channel for driving awareness (survey)[34]
Verified
Industry Trends Interpretation
Industry trends show that 52% of restaurant marketers say social media is the most effective channel for driving awareness, making it the clear go-to tactic for restaurants looking to stay competitive.
How We Rate Confidence
Models
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Single source
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Directional
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
Verified
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Models
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
APA
Christopher Morgan. (2026, February 13). Marketing In The Restaurant Industry Statistics. Gitnux. https://gitnux.org/marketing-in-the-restaurant-industry-statistics
MLA
Christopher Morgan. "Marketing In The Restaurant Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/marketing-in-the-restaurant-industry-statistics.
Chicago
Christopher Morgan. 2026. "Marketing In The Restaurant Industry Statistics." Gitnux. https://gitnux.org/marketing-in-the-restaurant-industry-statistics.
References
- 1pewresearch.org/internet/2019/05/09/online-searching-is-common/
- 2thinkwithgoogle.com/consumer-insights/consumer-decisions-in-2021/
- 5thinkwithgoogle.com/consumer-insights/
- 10thinkwithgoogle.com/marketing-strategies/consumer-insights/how-consumers-find-local-businesses/
- 27thinkwithgoogle.com/feature/mobile-speed-research/
- 3hubspot.com/marketing-statistics
- 4similarweb.com/blog/
- 6yotpo.com/blog/loyalty-program-statistics/
- 7brightlocal.com/research/local-consumer-review-survey/
- 8constantcontact.com/blog/email-marketing-stats/
- 9yelp.com/about/press/yelp-app-report
- 11businesswire.com/news/home/20200120005583/en/App-Data-Landscape-Study-Reveals-Location-Intelligence-Is
- 12loyalty360.org/consumer-survey-loyalty-in-restaurant-segments/
- 13fcc.gov/reports-research/consumer-adoption-report-2019
- 14restaurantdive.com/news/consumer-survey-delivery-influence/626240/
- 15statista.com/statistics/671519/online-food-delivery-market-global-revenue/
- 17statista.com/statistics/273269/global-digital-out-of-home-advertising-spend/
- 18statista.com/statistics/199305/social-network-advertising-spend-worldwide/
- 19statista.com/statistics/189316/online-food-ordering-revenue-in-the-united-states/
- 16marketsandmarkets.com/Market-Reports/restaurant-reservation-market-118291455.html
- 20blog.google/products/ads/
- 21fortunebusinessinsights.com/coupon-market-103037
- 22fortunebusinessinsights.com/restaurant-loyalty-app-market-106058
- 23businessofapps.com/data/online-food-delivery-market/
- 24litmus.com/blog/email-marketing-roi-statistics/
- 25g2.com/articles/sms-marketing-statistics
- 26google.com/think/ads/consumer-insights/
- 28alexa.com/topsites/study/local-business-website-traffic-sources
- 29web.dev/vitals/
- 30optimizely.com/optimization-glossary/conversion-rate/
- 31mailchimp.com/resources/email-marketing-benchmarks/
- 32socialbakers.com/blog/facebook-ad-benchmarks/
- 33mobilemarketer.com/local-digital-ads-mobile-share-2023
- 34restaurant-hospitality.com/marketing/restaurant-marketing-survey-social-media