The 📊 Dashboard is the bird's eye view of every tracking link on the site. Stat cards, charts and tables all respond to the same date range control, so you are always comparing like with like.
Stat Cards:
- Total Clicks, across every link.
- Unique Clicks, counted by distinct IP address.
- Total Conversions, leads and sales combined.
- Total Revenue, the sum of all sale amounts.
- Total Links, how many tracking links exist.
- Countries, how many distinct countries were detected.
Charts:
- 📈 Click Trends, daily click volume over the selected range.
- 💰 Revenue Trends, daily revenue over the same range.
- 🏆 Top Performing Links, your most clicked links.
- 🌍 Countries, top countries by click volume.
- 📋 Top Converting Links (Leads).
- 💰 Top Converting Links (Sales).
When marketplace add ons are installed, the Dashboard also shows 🏷️ Your Top Performing Offers (Vendor) and 🤝 Top Performing Affiliate Offers.
Visualisation Style:
The 📊 Visualization Style control switches the trend charts between Area, Line and Bar. Area is the default and is easiest to read for volume. Line is better for spotting small day to day movement. Bar is clearest when you are comparing a handful of days rather than a long run.
Date Range Selector:
The 📅 Dashboard Range control offers Today, Yesterday, 7 Days, 30 Days, This Year, an all time option labelled Lifetime, and Custom. Choosing Custom reveals a from and to date pair plus an Apply button. Every card, chart and table redraws together.
Recent Activity Tables:
Underneath the charts, 🖱️ Recent Clicks and 💰 Recent Conversions give you the raw feed. Both carry a Sub ID column, so you can see at a glance which traffic source produced the most recent activity without opening a report.
Reading It Day To Day:
Start on 7 Days with the Area style to see whether volume is holding. Switch to 30 Days when you want to judge a campaign rather than a single send. Use Custom when you need to line the report up with a launch window or a billing period. If a number looks wrong, open the individual link's Stats page, because per link data is where anomalies usually explain themselves.