Analytics Overview

Tiquo's analytics give you a real-time view of how your business is performing across locations, sublocations, and services. Data is collected automatically from bookings, orders, payments, and customer activity, so you can understand performance without manual reporting.

Navigating to Analytics

The Analytics entry in the main sidebar opens the Analytics dashboard. The page is a customisable grid of stat cards and chart cards, with header controls above the grid (Edit, location filter, comparison mode, granularity Daily/Weekly/Monthly, date range). Each card opens a larger drill-down view when clicked.

The dashboard supports many chart types: line and area charts for over-time series, donut charts for breakdowns, map and globe views for location-distributed metrics (Sales by Location, Bookings Globe), funnel and Sankey charts for pipelines (Conversion Funnel, Order/Booking/Enquiry flow), hourly views for time-of-day patterns (Avg Bookings by Hour, Avg In-Person Activity by Hour), and pipeline visualisations for status-based metrics. Cards can be reordered, hidden, or replaced via the Edit control.

What the Analytics Dashboard Shows

The Analytics dashboard provides an at-a-glance view of key performance metrics across your organisation.

This includes:

• Sales and revenue performance
• Customer activity and behaviour
• Booking and enquiry trends
• Conversion and marketing performance
• Staff and point-of-sale activity

Metrics can be viewed at organisation, location, or sublocation level, allowing you to quickly move between high-level insight and operational detail.

Each stat card on the dashboard expands into a larger drill-down window with Tiquo AI when clicked, giving deeper context without leaving the page.

Filtering Analytics

Analytics can be filtered by date range, location, and sublocation to focus on specific time periods or parts of your business.

• Date filters allow you to view performance over custom ranges or predefined periods
• Location filters let you isolate individual venues or compare performance across multiple locations
• Customer list filters let you scope customer-backed charts to selected marketing lists
• Comparison views allow you to measure changes over time, helping you spot trends, seasonality, and growth
• Segments let you filter analytics by customer segments. Segments are customer groups defined by any combination of filters set up in the Marketing section. Filtering analytics by a segment lets you see how a specific audience, for example VIP members, first-time visitors, or lapsed customers, is performing against your metrics. See Lists & Segments for the full setup.

These filters update the dashboard instantly, so you can explore data without reloading or exporting reports.

Chart search works across chart names, metric labels, and descriptions. This is useful when a dashboard has many cards and staff want to find a specific chart quickly.

Capacity analytics

Capacity cards report finite bookable inventory across the selected period. Add them from Edit under the Capacity category. Available cards show:

• total, booked, remaining, and utilization
• fully booked, partially booked, empty, and overbooked windows
• booked compared with remaining capacity
• utilization over time
• utilization by sublocation, service, service category, service type, inventory, and inventory type

Capacity is based on finite slots and stay-night windows. Cancelled, no-show, draft, and waiting-list bookings do not consume it. Unlimited slots and ordinary appointment calendars are excluded because they do not have a comparable finite capacity window. Shared inventory is counted once and attributed to the highest-priority required service connection.

Membership analytics

Membership cards cover active members, recurring revenue, new and cancelled members, retention, churn, average tenure, and renewals due in the next 30 days. Further cards break down plan distribution, billing periods, plans held together, plan revenue, cancellations, and membership changes.

For plans with a minimum term, add the minimum-term cards to compare:

• people who reached the end of their minimum term
• people who continued beyond it and people who cancelled
• continuation and churn by plan
• churn for higher outside spend compared with no or lower outside spend
• churn and average outside order frequency by spend band

These cohorts use people whose minimum term ended inside the selected period. They are separate from the general active-member and cancellation totals.

Website Analytics

Website Analytics shows traffic and engagement from sites connected to Tiquo.

It includes first-party pageviews, sessions, traffic sources, devices, known-customer activity, and custom events sent through the DOM Package or Tiquo-managed content sites.

For the full website analytics workflow, see Website Analytics.

Funnel and AI Analysis

Funnel charts show where customers continue or drop off during a journey.

When a funnel card is opened, the drill-down view can include conversion and drop-off statistics for each step, alongside Tiquo AI analysis where enabled. This helps teams understand which step is creating friction before changing a flow or campaign.

AI Insights Beta

AI Insights is a dedicated Analytics tab for staff with permission to view Analytics. It provides a conversational, read-only way to explore the organisation's analytics and can prepare focused briefings around the staff member's role and interests.

The first visit asks a few setup questions so the briefings and suggested questions can be made more relevant. Staff can reset those personal preferences later. Answers remain limited to the locations and data the signed-in staff member is allowed to view.

Organisation administrators can enable or disable the feature under Settings > Tiquo AI. When disabled, the AI Insights tab is hidden for the whole organisation.

Hotel analytics

For hotel room operations, add cards for Occupancy, room nights, Average Daily Rate, Revenue per Available Room, room revenue, arrivals, departures, in-house stays, and average length of stay. These cards follow the dashboard's date, location, and comparison filters.

Recent Activity Summary

The Recent Activity section highlights the latest activity across the platform.

This includes recent bookings, orders, payments, and customer actions as they happen. It provides a live operational snapshot, helping teams quickly understand what is happening right now without navigating into individual records.

Recent Activity block

The bottom of the Analytics dashboard includes a Recent Activity table: chronological rows of recent events with Time, Type, and Activity columns (e.g., orders placed, payments processed, customer registrations). A View all button on the block opens the full Activity Logs feed. Useful as a quick operational read.

Payments block

Below Recent Activity sits a Payments block. It surfaces Stripe-fed payment activity scoped to a selected location, with quick-select chips for any Stripe-connected location. The block is location-scoped: a location must be picked before payment data appears.

For the org-wide Payments dashboard with embedded Stripe Connect tabs (no sublocation context), see Payments.