Beyond a visitor count
A raw visitor count rarely changes how you run service.
The value shows up when you connect patterns inside TTMenus Insights:
- Which dishes get Menu item views
- When people browse (Peak hours / Peak days)
- Which promotions get impressions and clicks
- Where the customer journey stalls
That combination is restaurant intelligence, not a vanity dashboard.
Example: Overview snapshot
Insights
TTMenus Insights
Last 30 days
Overview
- Unique visitors1,284+18% vs previous
- Menu views2,416+12% vs previous
- Menu item views3,842+15% vs previous
- Customer actions412+7% vs previous
Customer journey
- Restaurant discovered: 1,284 unique visitors
- Menu opened: 2,416 menu views
- Menu items viewed: 3,842 item views
- Ordering actions: 126 add to cart / order clicks
Recommendation
Look at the gap between views and order clicksGuests are browsing dishes, but fewer continue into ordering actions. Review prices, descriptions and the WhatsApp / order path on high-view items.
Showing analytics for the last 30 days. Order submissions are menu clicks, not confirmed sales.
What owners can actually use
Analytics help you answer operational questions:
- Should lunch specials go live before 11 AM?
- Is the new photo set working?
- Did Friday’s promo move attention to the right items?
Data to decisions
| What the data says | What to do |
|---|---|
| Lots of Menu views, few Customer actions | Review prices, descriptions and ordering options |
| Strong evening browse traffic | Schedule promotions and staff for that window |
| A category rarely opened | Rename it, reorder it, or merge weak sections |
The takeaway
Do not collect metrics for their own sake.
- Open Insights once a week
- Pick one recommendation
- Turn it into one menu, promo, or ops change
