# How to read the Audience graph ?
The graph allows you to see how your campaign performed on the KPIs you’ve selected, by comparing age range and gender — without any setup. You can easily identify high-potential audiences based on socio-demographic criteria such as age and gender, to optimize your future campaigns. Creating sub-targets to analyze these segments is no longer necessary.
💡 **Note:** This graph is not related to benchmarks.
## Age Range
Each age segment is automatically displayed in the graph and differentiated by color. Below, you'll see the selected KPIs as well as Ad Recall.
Bars display each segment’s result and highlight differences from the overall campaign score, indicated by the **black “Overall” line** in the graph.
The higher the bar is above the overall line, the better the segment performed. For more precise reading, the platform displays the uplift in points beneath each bar. If you want to focus on one or more age segments, you can choose to hide the others by unselecting the boxes next to their labels.
In the example below, we can see that the 18–34 age group performed well on Attribution with **+51 points**, but fell **-20 points** below the overall score on Interest — where the 55+ group performed better with **+34 points**.
## Gender
To switch to the Gender graph, simply select it from the top-left corner. It works the same way as the Age graph.
Each gender is displayed above the graph, and you can choose to show or hide each group.
Below the graph, you'll see the same KPIs as before, including Ad Recall.
Bars display each segment’s result and highlight differences from the overall campaign score, indicated by the black “Overall” line.
As with age groups, the higher the bar is above the line, the better that gender segment performed. The uplift in points is shown below each bar for more precise reading.
In the example below, we can see that **Females showed more interest** with **+19 points** above the campaign average, but were **-46 points** below on Attribution — compared to **Males**, who showed an uplift of **+47 points**.
#### 👀 **Tips**
* Use the **interactive filters** on each graph to combine age and gender for deeper analysis.
* Hover your mouse over the graphs to view d**etailed results for each segment**, including whether the difference is statistically significant.
* You can export the **graphs in PNG format** for easy sharing.
## 🚀 Related articles
* [How to read Brand lift results?](/analysis/brand-lift-results/how-to-read-brand-lift-results.md)
* [How to compare and filter sub-target results?](/analysis/brand-lift-results/how-to-compare-and-filter-sub-target-results.md)
* [How are KPIs categorized?](/analysis/brand-lift-results/how-are-kpis-categorized.md)
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