Arketa

Analytics dashboard

Use the visual analytics dashboard to track sales, memberships, and engagement trends.

The analytics dashboard gives you a visual overview of business performance without needing to run individual reports. Access it at Analytics → Dashboard.

Filters

At the top of the dashboard, filter by:

  • Date range — last 7 days, last 30 days, or a custom range
  • Time granularity — view data by day, week, or month
  • Location — filter to a specific location if you operate multiple studios

Dashboard sections

Business overview

Total Sales and Net Sales

  • Total sales: amount paid by clients
  • Net sales: total paid minus taxes, Stripe fees, and Arketa fees

Sales by Category Revenue broken down by product type: class packs, subscriptions, drop-ins, bundles, penalties, and other.

Sales Over Time Bar chart of daily sales in your selected date range. Look for spikes around promotions and dips in slow seasons.

Membership

Active Subscriptions (All Time) Total clients with an active recurring subscription.

New Memberships Over Time Membership vs. non-membership net sales comparison.

Active Memberships Over Time Daily count of active memberships — useful for tracking retention trends.

Bookings and visits

Total Bookings and Visits Over Time

  • Bookings: classes, events, or appointments reserved
  • Visits: actual check-ins per day

Class and Appointment Attendance Attendance trends — daily attendees over time.

Revenue breakdown

Sales by Pricing Option Which specific pricing options are generating revenue (drop-in, 10-class pack, monthly membership, etc.).

Sales by Revenue Category High-level revenue groupings — memberships, classes, retail — for a quick view of major revenue streams.

On-demand

Video Views Over Time Daily on-demand video view count.

What the dashboard is best for

  • Spotting trends (growth, decline, seasonal patterns)
  • Comparing membership revenue to other sources
  • Tracking retention through active membership counts
  • Monitoring daily sales activity

For detailed line-item data, use the available reports.