Analytics for Your Event

In this guide you’ll tour an event’s Analytics section in Nevent. You’ll learn what data you can check, how to read it, and what decisions it helps you make. About 6 minutes.

Before you start

You need at least one event created with tickets on sale. If the event has no sales yet, the charts will appear empty but the filters will still work.

Step 1: Open the Experiences section

In the side menu, click Experiences, inside the “Content” block.

The list with all your events opens. In the “Tickets” column you can see at a glance how many you’ve sold against total capacity.

Click the name of the event you want to analyze.

Step 2: Go to the Analytics tab

When you enter the event, the left side menu changes to show that event’s sections: Description, Celebration, Tickets, Supplements, Sponsors, Attendees, Add-ons, Campaigns, Reassignment, and Music profile.

The first section that opens is Analytics. If it doesn’t, click it in the side menu.

The screen is split into two zones:

On the left, the charts with the data.
On the right, the analysis filter panel, where you can adjust the time range, granularity, and comparison mode.

Step 3: Read the general metrics

The default view is General. Right at the top you’ll see three cards with the event’s main indicators:

Total tickets: the number of tickets sold in the selected period. It tells you whether sales are progressing or stalled.
Total revenue: gross revenue generated by ticket sales. It gives you the event’s financial snapshot.
Total upselling: extra revenue from add-ons or supplements. If it’s €0, you haven’t activated upselling yet or haven’t sold any.

Below the KPIs is the Sales over time chart: an area line showing week-by-week revenue evolution. Weeks with a sales spike usually coincide with email campaigns or lineup announcements. If you see the curve flatten out, it’s time to activate a campaign.

Further down are the Tickets by type and Sales by promoter rep charts. We’ll cover these in the next step.

Step 4: Analyze the breakdown by ticket type and promoter rep

Scroll down a bit to see the two horizontal bar charts:

Tickets by type: shows how many tickets you’ve sold in each category (for example, Plebeyo, Equite, Patricio VIP). This tells you which type is most in demand. If the cheapest type sells out before the others, you might consider raising the price of the next tier or opening more capacity in that category.

Sales by promoter rep: shows how much revenue each promoter rep or external sales channel has generated. If you have active reps, here you can see which ones are driving sales and which aren’t. If everything shows as “No rep,” sales are coming from the direct channel.

Step 5: Switch the analysis type

At the top, next to the “Analytics” title, there’s a selector with four different views: General, Products, Behaviour, and Time patterns.

Select Behaviour to see how your buyers behave:

Unique buyers: how many different people have bought tickets. The difference from the total tickets sold gives you the average group size.
Average group size: how many tickets each person buys on average in a single transaction. If it’s 2.1, most people are coming in pairs. This helps you design packs or group discounts.
Average lead time: how many days in advance tickets are bought. If it’s 120 days, your audience buys well ahead and launch campaigns are key. If it’s low, most buy last-minute and you need urgency campaigns.
Average ticket value: the average value of each transaction. It helps you compare events against each other and assess whether your pricing strategy is working.

Below appears the Group size distribution: a bar chart showing how many purchases are for 1, 2, 3, or more tickets. If the “2 tickets” bar is the highest, your event is mostly for couples.

Step 6: Discover when your fans buy

Select Time patterns to see the metrics for when and how sales are concentrated.

At the top you’ll see four cards:

Total sales (euros): revenue in the period.
Total sales (number): number of completed transactions.
Daily average (euros): how much you earn on average each day. It gives you a quick reference for pace.
Best time to sell: the day of the week and time slot with the most sales. If it’s “Saturday 5:00-6:00 PM,” your campaign sends should be scheduled right before that moment.

The sales heatmap crosses the day of the week (vertical axis) with the time of day (horizontal axis). Darker cells indicate more sales. With this map you can fine-tune the exact timing of your email, push, or social media campaigns.

Below are the Sales by day of week and Sales by hour of day charts, which break down that same information into bars for easier comparison.

Result

You now know how to read an event’s analytics in Nevent: the general KPIs, the sales pace, the breakdown by ticket type, buying behaviour, and time patterns. With this data you can decide when to launch a campaign, which ticket type to promote, and what time to reach your audience.