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Reading Your Analytics Dashboard

Understand the key metrics and charts on your analytics dashboard

Hayden Zammit Meaney avatar
Written by Hayden Zammit Meaney
Updated today

Reading Your Analytics Dashboard

Your analytics dashboard brings together the key numbers you need to understand your tourism business performance. This guide helps you make sense of what you're seeing and how to use it.

Getting to your dashboard

  • Click Insights Hub from the main menu

  • Select Visitor Analytics from the hub navigation

You'll land on a dashboard showing visitor data, trends, and performance metrics.

Understanding the summary cards

At the top of your dashboard, you'll see summary cards showing your key metrics at a glance:

Visitor numbers

  • Total trips — the number of visitor trips in your selected period

  • Million trips — displayed in millions for easier reading (e.g., "2.5M" means 2.5 million trips)

Economic impact

  • Economic impact — total visitor spending in your region

  • Per visitor — average spending per visitor

  • Per night — average daily spending rate

Stay duration

  • Total nights — combined nights stayed by all visitors

  • Nights per trip — average length of stay

Using the filters

Filters help you focus on specific segments of your visitor data:

Location filters

  • State/Territory — view data for a specific state

  • Sub-Region — drill down to specific areas within a state (appears after selecting a state)

Time filters

  • Year — select the year you want to analyse

  • Quarter — focus on specific quarters (Q1 = Jan-Mar, Q2 = Apr-Jun, etc.)

Visitor filters

  • Data Source — choose between NVS (domestic) or IVS (international) data

  • Visitor Type — filter by purpose: Holiday, Business, VFR (visiting friends and relatives)

  • Transport — filter by how visitors travelled (car, aircraft, bus, etc.)

Reading the charts

Trips by Region chart

This bar chart shows visitor numbers by location:

  • Taller bars = more visitors

  • Hover over bars to see exact numbers

  • When viewing a sub-region, the chart shows quarterly trends instead

Visitor Types pie chart

Shows the breakdown of why people visit:

  • Holiday — leisure travellers

  • Business — work-related travel

  • VFR — visiting friends and relatives

  • Other — education, medical, events

Age Distribution chart

Displays visitor age groups:

  • Helps you understand your demographic mix

  • Use this to tailor your marketing messages

  • Identify which age groups you might be missing

Gender Split chart

Shows the proportion of male and female visitors:

  • Displayed as percentages

  • Helps with targeted marketing decisions

Transport Mode chart

Reveals how visitors reach your destination:

  • Car/4WD — typically the largest segment for regional areas

  • Aircraft — important for remote destinations

  • Bus/Coach — often group travel and tours

The AI Insights box

Look for the insights box with a sparkle icon. This provides:

  • Plain-English explanations of your data

  • Key takeaways based on your current filters

  • Comparisons and context to help you understand the numbers

The detailed data table

Below the charts, you'll find a data table with:

  • Region-by-region breakdown

  • Visitor types and demographics

  • Specific trip, night, and spending figures

  • Average stay and per-trip spending

Scroll horizontally to see all columns on smaller screens.

Tips for reading your dashboard

  • Start with the big picture — look at summary cards first

  • Compare periods — use quarter filters to spot seasonal patterns

  • Drill down — click into sub-regions for more specific insights

  • Consider context — external factors (events, weather, COVID) affect numbers

  • Focus on trends — single data points can mislead; look for patterns

What the numbers mean for your business

High visitor numbers, low spending

  • Visitors might be passing through rather than staying

  • Consider developing experiences that encourage longer stays

  • Look at your pricing strategy

Low visitor numbers, high spending

  • You're attracting quality over quantity

  • Consider how to attract more of these high-value visitors

  • Your products might suit premium positioning

Seasonal spikes

  • Plan staffing and inventory around peak periods

  • Develop off-peak offerings to smooth demand

  • Adjust marketing timing to capture early bookings


Understanding your data is the first step to making better business decisions.

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