Website analytics
Get to know your visitors: where they come from, what devices they use, how many buy, how many return, and how much they spend. All in a centralized dashboard.
Accessing statistics
From the Fanz dashboard, go to Website → Visitor statistics to access your site's statistics dashboard.
Date filter and automatic comparison
All statistics have a configurable date filter in the top right corner:
- Default: Last 7 days
- Other options: 30 days, 90 days, custom
Automatic comparison: If you select 7 days, it automatically compares with the previous 7 days. If you select 30 days, with the previous 30 days. This applies to all metrics.
Each metric shows:
- Current value — The data for the selected period
- Previous value — The data for the comparison period
- % Variation — Percentage increase or decrease (green if positive, red if negative)
Export data
Next to the date filter, you'll find a button to export the data in Excel or CSV format. Useful for more advanced analysis or to share with your team.
Main metrics
Unique visitors
Number of different people who visited your site in the selected period.
| Data | Description |
|---|---|
| Current value | Unique visitors in the period |
| Previous value | Visitors in the previous period |
| % Variation | Growth or decline compared to previous period |
💡 How to use this metric?
- An increase indicates your marketing efforts are working
- A decline may indicate you need to boost promotion
- Compare it with your advertising campaigns to measure effectiveness
Average time on site
Average session duration for each visitor, in minutes and seconds.
| Data | Description |
|---|---|
| Current value | Average time (e.g., 2m 45s) |
| Previous value | Time in previous period |
| % Variation | Change in engagement |
💡 How to use this metric?
- High time (more than 2 minutes) indicates engaging content
- If time is very low (less than 30 seconds), visitors may be leaving quickly
- Improve your page and event content to increase time on site
Tickets purchased (%)
Percentage of visitors who ended up buying tickets. This is your conversion rate.
| Data | Description |
|---|---|
| Current value | % of visitors who purchased |
| Previous value | % in previous period |
| % Variation | Improvement or decline in conversion |
💡 How to use this metric?
- A 2-5% conversion rate is typical for event sites
- If it's very low, review pricing, information clarity, or the purchase experience
- Activate social proof features to increase urgency and conversion
Average purchase value
Average amount (in your brand's currency) of each purchase made.
| Data | Description |
|---|---|
| Current value | Average $ per order |
| Previous value | Average in previous period |
| % Variation | Change in average ticket |
💡 How to use this metric?
- A high average value indicates people are buying multiple tickets or premium tickets
- To increase it, you can offer bundles, quantity discounts, or VIP categories
- Compare it with your ticket prices to understand how many people buy per order
New buyers
Number of buyers who made their first purchase on your site (not recurring).
| Data | Description |
|---|---|
| Current value | Number of new buyers |
| Previous value | Number in previous period |
| % Variation | New customer growth |
💡 How to use this metric?
- A constant flow of new buyers indicates you're reaching new audiences
- If it drops dramatically, your marketing may be reaching the same people repeatedly
- Combine with email campaigns to convert new buyers into recurring ones
Returning buyers
Number of buyers who had purchased before and bought again in this period.
| Data | Description |
|---|---|
| Current value | Number of returning buyers |
| Previous value | Number in previous period |
| % Variation | Audience loyalty |
💡 How to use this metric?
- Returning buyers are the most valuable asset: they already trust you
- A high number indicates good retention and satisfaction
- Create loyalty programs or exclusive discounts to reward them
Average value per returning buyer
Average amount ($) that a returning buyer spends when they purchase again.
| Data | Description |
|---|---|
| Current value | Average $ per returning buyer |
| Previous value | Average in previous period |
| % Variation | Change in loyal customer spending |
💡 How to use this metric?
- If it's higher than the general average, your loyal customers spend more (excellent sign)
- Segment these buyers for exclusive email campaigns
- Offer them early access or special discounts
Average tickets per returning buyer
Average number of tickets a returning buyer purchases in each order.
| Data | Description |
|---|---|
| Current value | Average tickets per order |
| Previous value | Average in previous period |
| % Variation | Change in purchase volume |
💡 How to use this metric?
- If they buy more tickets on average, they may be bringing friends or family
- Offer quantity discounts to encourage group purchases
- A low number may indicate more intimate or niche events
Visitor segmentation
A pie chart that classifies all your visitors into three categories:
| Segment | Description |
|---|---|
| Returning visitors without purchases | People who visited before but never bought and came back |
| Visitors with previous purchases | People who already bought in the past and are visiting again |
| New visitors | First time visiting your site |
Note: These are visitors, not necessarily buyers. It helps you understand your audience.
💡 How to use this information?
- If you have many returning visitors without purchases, something attracts them but doesn't convince them to buy
- If you have many visitors with previous purchases, your audience is loyal
- A high % of new visitors indicates your marketing is reaching new people
Devices, platforms, and browsers
Three bar charts showing the distribution of your visitors:
Devices
| Device | Description |
|---|---|
| Desktop | Desktop computers and laptops |
| Mobile | Cell phones |
| Tablet | Tablets and iPads |
Platforms (Operating system)
Common examples:
- macOS, Windows, Ubuntu
- Android, iOS
Browsers
Common examples:
- Chrome, Mobile Chrome, Chrome WebView
- Safari, Mobile Safari
- Instagram (in-app browser)
- Samsung Internet
- Firefox, Edge
- GSA (Google Search App)
💡 How to use this information?
- If most use mobile, make sure your site works perfectly on phones
- If you see a lot of traffic from Instagram, invest more in that social network
- If there are issues with a specific browser, you can report it to the Fanz team
Traffic sources
5 cards are displayed showing the most frequent traffic sources for your site. Each card includes:
- Number of visitors who came from that source
- % who bought tickets — conversion rate for that source
- Total revenue generated by that source
Typical sources:
- Google / Search engines — Organic traffic from searches
- Website (direct) — People who typed your URL directly
- Instagram — Clicks from Instagram (bio, stories, posts)
- Facebook — Clicks from Facebook
- Android WebView — Links opened from Android apps
💡 How to use this information?
- Identify which source generates the most revenue (not just the most visitors)
- If Instagram has a better conversion rate, invest more there
- If a source brings many visits but doesn't convert, review what type of audience it attracts
- Use this information to decide where to focus your marketing budget
Geographic distribution
A heat map based on Google Maps showing the location of your visitors with blue dots.
Available information:
- Geographic concentration of visitors
- Main cities and regions
- Country-level distribution (if you have an international audience)
💡 How to use this information?
- Plan events in areas where you have more audience
- If you see concentration in a city where you don't do events, consider expanding
- For events with geographic limits, validate that your audience is in the correct area
Summary of recommended actions
| Situation | Recommended action |
|---|---|
| Visitors grow but conversion is low | Improve purchase experience, review prices, activate social proof |
| Time on site very low | Improve your event content, add more photos and descriptions |
| Many returning visitors without purchase | Send emails with offers or event reminders |
| One source converts much better | Invest more marketing budget in that source |
| Most use mobile | Prioritize mobile experience, test purchasing from phone |
| Audience concentrated in one city | Consider doing more events there or larger venues |
Next steps
- Configure social proof → Increase conversions with urgency and social proof
- Optimize site SEO → Improve your search engine ranking
There could be several reasons: unclear pricing, confusing checkout process, lack of event information, or simply that the audience isn't ready to buy. Try activating social proof features to create urgency, and make sure your event information is complete and attractive.
More than 2 minutes is a good sign of engagement. Less than 30 seconds indicates visitors are leaving quickly. If time is low, check loading speed, content clarity, and whether the first impression of your site is attractive.
That means that source brings higher quality visitors (more willing to buy or who spend more). It's normal: quality > quantity. Invest more in sources with better returns, not just those that bring more traffic.
These are people who already visited your site before, didn't buy, and came back. It may indicate genuine interest but some barrier to buying (price, date, etc.). Consider remarketing campaigns or emails to convert them.
When someone clicks a link from Instagram, the app opens an internal browser called "Instagram Browser". The same happens with Facebook and other apps. It's normal and helps you know how much traffic comes from those platforms.
Statistics are updated in real-time or with a delay of a few minutes depending on the metric.
Yes, you can export the data in Excel or CSV format. The export button is next to the date filter in the top right corner of the dashboard.
Yes, you can add Facebook pixels, Google Analytics (GA4), or Google Tag Manager (GTM), but only at the individual event level, not to the entire site. Configure it from each event's settings.
No, the system automatically filters bot and crawler traffic to show you only real visitors.
Yes. Go to the Events menu, select the event you want to analyze, and navigate to the Analytics tab. There you'll see a conversion funnel and a heat map with all the specific data for that event.