Dining Behavior Index
Are people eating out, ordering in, or cooking at home? Track how dining preferences are shifting based on online conversation analysis.
Historical Trends
Track how dining behavior has shifted over time
Share of Voice Over Time
How dining behavior discussions have shifted
Sentiment Over Time
How positive each category's discussions have been
Category Breakdown
Detailed metrics for each dining behavior
Eat Out
Restaurant dining, going out to eat
Takeout & Delivery
Food delivery apps, ordering in
Eat at Home
Cooking, meal prep, homemade meals
Key Insights
The 13-point sentiment gap between eating at home (78) and eating out (36) reveals that consumers are prioritizing health, budget-consciousness, and family connection over social dining experiences, with cost concerns being a major barrier to restaurant satisfaction despite the cultural and social benefits dining out provides.
Takeout & delivery occupies a sweet spot with moderate share of voice (21%) but strong sentiment (72), driven primarily by convenience and improved customer experience, suggesting this category successfully balances the desire for restaurant-quality food with the comfort and cost-effectiveness that consumers associate with home dining.
The 'dinner boredom' challenge in home cooking (43% share of voice) presents a significant opportunity for grocery brands and meal kit services to capture market share by addressing variety and convenience, while restaurants must tackle cost perceptions and health concerns to reverse their sentiment disadvantage despite having strong cultural and social appeal.
Why This Matters
Economic Indicator
Dining out is discretionary spending. When restaurant discussion increases, it often signals consumer confidence. When home cooking trends up, it may indicate economic caution or health consciousness.
Industry Impact
Restaurant chains, delivery apps like DoorDash and UberEats, grocery stores, and meal kit companies all compete for the same consumer decision: "What's for dinner?" This index shows where that attention is going.
Methodology
The Dining Behavior Index uses a two-part analysis:
1. Share of Voice (Content Volume)
We measure the total amount of web content indexed by Google for each category. This includes articles, blog posts, recipes, reviews, and discussions.
2. Sentiment Analysis
We analyze content by theme to determine sentiment (0-100 scale), identify positive themes, and surface concerns.
Frequently Asked Questions
How often is the index updated?
The Dining Behavior Index is updated weekly, capturing the latest web content and sentiment trends.
Why does home cooking have higher sentiment?
Content about home cooking often emphasizes health benefits, cost savings, and family bonding. Restaurant content includes more mixed reviews and price complaints.
Can I track specific restaurant brands?
Yes! Flogent's suite of brand intelligence tools can track any restaurant chain, food delivery service, or grocery brand.
Flogent Insights
Track sentiment for restaurant chains, delivery apps, grocery brands, and custom topics.