Analytics & Business Insights
Understand your revenue trends, upsell impact, loyalty program ROI, and reservation no-show patterns using Wehanda's built-in analytics.
In this article
Accessing Analytics
Go to Dashboard → Analytics to view your business data. Analytics data updates in real-time as orders are placed and completed.
Analytics are scoped to the restaurant you currently have selected. If you manage multiple restaurants, switch between them using the restaurant selector in the top navigation.
Revenue Overview
The top of the analytics page shows your revenue for the last 7, 30, or 90 days. You can switch between time periods using the tabs.
Revenue includes the subtotal of all completed orders (before tax). Compare the current period to the previous one to understand your growth trend.
Upsell Impact
Wehanda automatically suggests items to customers at checkout based on what other customers order together (e.g., "Customers who ordered this also added…").
The Upsell Impact section shows:
- Total upsell revenue — additional revenue generated by items added through upsell suggestions
- Acceptance rate — percentage of customers who accepted at least one upsell
- Average order value with vs without upsell — the AOV lift from upsells
- Top upsell items — which dishes drive the most upsell revenue
To improve upsell performance, make sure popular combo items are all available in your menu. The algorithm works best when you have at least 100 orders to analyze.
Loyalty Program Impact
The Loyalty Impact section compares spending behavior between loyalty members and non-members:
- Member vs non-member AOV — loyalty members typically spend more per order
- Total points earned vs redeemed — shows program engagement
- Active members — customers who earned or redeemed points in the selected period
- Discount given — the total dollar value of loyalty discounts applied
A healthy loyalty program typically shows members spending 10–20% more per order than non-members. If the gap is small, consider increasing your points earning rate or welcome bonus to drive more sign-ups.
Reservation No-Show Analytics
If you have reservations enabled, the analytics page includes detailed no-show analysis:
- Overall no-show rate — your restaurant's average
- By day of week — which days have the highest no-show rates
- By time slot — which hours are most problematic
- By party size — whether larger groups no-show more often
- Repeat offenders — customers with multiple no-shows (with their contact info)
- Monthly trend — whether your no-show rate is improving or worsening
Use this data to decide whether to require deposits or credit card holds for large groups, or to call and confirm reservations the day before for high-risk time slots.
Setting a Daily Revenue Target
A daily revenue target is used by the Slow Day Boost AI campaign. When your actual daily revenue falls below this target, the system sends a "slow day" email to regular customers inviting them to visit.
Set your daily revenue target in Dashboard → Setup → Pricing section. A good starting point is your average daily revenue from the past 30 days.
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