Skip to content

Help Center

Analytics Guide

Understand your data and make informed decisions

Analytics Dashboard Overview

The noqat analytics suite gives you a comprehensive view of your restaurant's performance. Access it from the Analytics section in the main navigation. Every analytics page includes a date range picker and a branch filter so you can focus on a specific time period or location. Data updates in real time as new orders come in.

Sales Analytics

The sales section is your go-to for understanding revenue performance.

  • Total revenue — Gross and net revenue for the selected period, with comparison to the previous period.
  • Revenue trends — Daily, weekly, or monthly revenue charts showing how sales evolve over time.
  • Average order value (AOV) — The average amount spent per order, tracked over time.
  • Payment method breakdown — Revenue split by payment method (cash, KNET, Visa, Apple Pay, etc.) shown as a chart and table.
  • Hourly sales — A heatmap showing which hours of the day generate the most revenue. Use this to optimize staffing and promotions.
  • Order source breakdown — Revenue split by online vs. POS orders.
  • Discount impact — Total discounts given, discount rate as a percentage of revenue, and breakdown by discount type.

Customer Analytics

Understand who your customers are and how they engage with your restaurant.

  • Customer acquisition — New customers over time, showing growth trends and the channels they come from.
  • Retention rate — Percentage of customers who order again within a defined period. Track whether your repeat business is growing.
  • Customer segmentation — Breakdown of customers by order frequency: one-time, occasional, regular, and loyal.
  • RFM analysis — Recency, Frequency, and Monetary value scoring for each customer. This helps identify your most valuable customers and those at risk of churning.
  • Lifetime value (LTV) — Average revenue per customer over their entire relationship with your restaurant.
  • Top customers — A ranked list of customers by total spending, order count, or recency.

Order Analytics

Dive into the details of order patterns and conversion.

  • Order count — Total orders for the period with daily breakdown and trend comparison.
  • Order funnel — Visualize the journey from menu view to cart to checkout to payment. Identify where customers drop off.
  • Conversion rate — Percentage of visitors who complete an order. Track this over time to measure the impact of menu changes or promotions.
  • Order sources — Breakdown by source: online store, POS, or phone (agent) orders.
  • Order types — Distribution of takeout, dine-in, delivery, and curbside orders.
  • Cancellations — Number and rate of cancelled or rejected orders, with reasons when available.
  • Peak times — Identify your busiest days and hours to plan staffing and inventory.

Operations Analytics

Measure and improve the speed and efficiency of your operations.

  • Preparation time — Average time from order acceptance to ready, tracked by branch and over time. Identify bottlenecks and set improvement targets.
  • Delivery time — Average time from ready to delivered for delivery orders. Broken down by area and driver.
  • Acceptance time — How long it takes to accept new orders. Faster acceptance means happier customers.
  • Order-to-door time — Total time from order placement to delivery, the key metric for customer satisfaction.
  • Bottleneck analysis — Identify which stage of the process takes the longest and where delays occur.

Understand which items drive revenue and which need attention.

  • Top items — Most ordered items by quantity and revenue. See what your bestsellers are.
  • Bottom items — Least ordered items that may need better positioning, updated photos, or removal from the menu.
  • Item trends — Track how individual item sales change over time. Identify seasonal patterns or the impact of promotions.
  • Category performance — Revenue and order count broken down by menu category.
  • Option popularity — Which options and choices are most frequently selected. Use this to understand customer preferences.
  • Menu engineering — Classify items by popularity and profitability to make informed menu decisions.

Employee Performance

Track your team's productivity and identify top performers.

  • Cashier metrics — Orders processed, total revenue, average order value, and average processing speed per cashier.
  • Driver metrics — Deliveries completed, average delivery time, and customer ratings per driver.
  • Kitchen metrics — Average preparation time by station and shift. Identify which teams are fastest.
  • Shift summaries — Revenue and order count per shift, with cash variance tracking.

Marketing Analytics

Measure the effectiveness of your marketing campaigns.

  • UTM tracking — noqat automatically captures UTM parameters from incoming links. See which campaigns, sources, and mediums drive the most traffic and orders.
  • Campaign performance — Track orders and revenue attributed to specific marketing campaigns.
  • Channel breakdown — Compare performance across channels: social media, search, email, direct, and referrals.
  • Pixel integration — View events sent to Meta Pixel, Snapchat Pixel, Google Analytics, and TikTok Pixel from the tracking settings page.
  • Conversion attribution — Server-side tracking (CAPI) for Meta and Snapchat provides accurate attribution even when browser cookies are blocked.

Date Range and Branch Filtering

Every analytics page includes powerful filtering options:

  • Date range — Select a predefined range (today, yesterday, last 7 days, last 30 days, this month, last month) or set a custom start and end date.
  • Branch filter — View data for all branches or select a specific branch. This is useful for comparing performance across locations.
  • Comparison — Most metrics show a comparison to the previous equivalent period. For example, if you select "last 7 days", you see the change compared to the 7 days before that.

Exporting Data

Export your analytics data for external analysis or reporting:

  • Most analytics tables include an Export button that downloads the data as a CSV file.
  • Exported data respects the current date range and branch filter.
  • Use exported data in spreadsheet applications like Excel or Google Sheets for custom analysis and reporting.