Sentiment
The Sentiment page helps you explore customer feedback drawn from Google Reviews. It shows how people feel about experiences in your region.
Page Overview
The Sentiment page is designed to answer three questions:
How much review activity is happening in this area?
How positive are those reviews overall?
Which categories are performing better or worse than the state average?
You can switch between levels (Tourism Region, LGA, SA3, SA2, Suburb, or Custom Region) and change the reporting period between quarterly and annual views.
Selecting Area and Period
At the top of the page, you’ll find filters for:
Level – Choose the statistical or tourism boundary (Tourism Region, LGA, SA3, SA2, or Suburb).
Area – The specific region you want to analyse (for example, “Brisbane”).
Granularity – Switch between Quarter or Year depending on the timeframe you want.
Period selector – Choose the reporting quarter or year (for example, Q3 2025).
All charts and metrics update instantly when you change any of these filters.
Map Component
Like other pages across the platform, the Sentiment page includes an interactive Map Component. It provides a clear visual of which area your sentiment data is based on and lets you adjust the surrounding radius to include nearby influences if relevant.
The map shows:
The selected boundary shaded on screen
The ability to zoom and pan
Persistent selection — once you pick a region, it stays active across pages
This ensures you always know exactly which area the data represents before you start interpreting the results.
Sentiment Trends
The Trends section summarises the overall mood in reviews for your selected period. It displays three key headline metrics:
Total Reviews – how many reviews were recorded in total
Average Rating – the mean star rating (from 1 ⭐ to 5 ⭐)
Positive Reviews – total number of 4- and 5-star reviews
These values provide a quick snapshot of review activity and quality in your region.
Category Review Breakdown
This section breaks sentiment down by category — such as Food & Dining, Retail & Shopping, Healthcare, and Accommodation & Travel. Each category card shows:
The average rating for your selected area (dark blue)
The state average for comparison (purple)
A colour-coded bar showing the distribution of 1- to 5-star reviews
Review counts for each rating band
You can search or filter the list to focus on certain categories, or sort by total reviews to highlight the biggest drivers of sentiment. Use the Compact toggle to condense the view and quickly scan across all categories.
Hovering over the coloured bars reveals exact counts and proportions for each star rating, helping you spot which experiences are strongest and which need attention.
Comparing Area vs State
The purple and navy dots above each bar show the difference between your area’s average rating and the state average. A higher local score indicates above-average sentiment for that experience type, while lower scores suggest opportunities for improvement.
Searching and Sorting
The search box and sort options make it easy to focus your analysis.
Search categories – instantly filter down to a keyword (e.g. “Retail” or “Accommodation”).
Sort – reorder by total reviews, highest rating, or lowest rating.
Hide zero-review categories – remove categories that have no reviews in the selected timeframe.
Localis AI
Localis AI automatically interprets your sentiment data and provides clear summaries and key takeaways. It identifies standout categories, emerging trends, and how your region compares with the wider state average — so you can understand the story behind the numbers instantly.
The AI produces a plain-language summary for the selected region and time period, covering:
Overall sentiment – total reviews, proportion of positive reviews, and general tone.
Top-rated categories – categories with the highest average scores and positivity rates.
State comparison – how your region’s sentiment stacks up against Queensland overall.
You can also ask Localis AI follow-up questions in natural language to dig deeper — for example, which categories improved the most this quarter, or where ratings have declined since last year. Insights are concise and report-ready, making it easy to copy or share them directly from the platform.
Notes
All sentiment data is derived from publicly available Google Reviews aggregated at the chosen regional level.
Ratings are rounded to two decimal places for clarity.
Category names follow the Localis taxonomy and may differ slightly from Google’s raw category list.
Data is refreshed periodically; recent reviews may take time to appear in quarterly summaries.
Last updated