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Sales By Location

View total revenue generated at each service location. Identify your highest-performing locations and track sales trends by geographic area. Columns: Example Data:
  • Kutch Rd. Jinja: 1,668,000 (highest performing)
  • Kiwenda: 916,000
  • Nizam Rd. Jinja: 626,000
  • Soweto Jinja: 528,850
  • Busiika: 486,300
  • Silva Arcade: 278,500
  • Luzira - Kilintale: 163,400 (lowest in this period)
Filters:
  • Date Range – Select start and end dates to view sales for a specific period (e.g., 01-08-2026 to 26-08-2026)
Use Cases:
  • Identify high-performing locations for expansion or additional resources
  • Spot underperforming locations that may need marketing attention
  • Compare location performance month-over-month
  • Allocate marketing budget based on revenue contribution

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Sales By Tariff Plans

View revenue breakdown by internet package/tariff tier. Understand which packages are most popular and generate the most revenue. Typical Columns: Use Cases:
  • Identify which packages drive the most revenue
  • Spot pricing optimization opportunities
  • Plan product roadmap based on popular packages
  • Forecast capacity needs based on plan adoption

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Filters

Date Range – Select custom start and end dates to view sales within a specific period Reset – Clear filters and return to default view Apply – Apply selected filters to update the report

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Actions

  • Refresh – Reload report data to see latest sales figures
  • Export – Download report as Excel file for further analysis, presentations, or record-keeping

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Key Metrics

Total Revenue by Location – Compare location performance to identify geographic growth patterns. Plan-Based Revenue – Understand which packages are most profitable and popular. Period-Over-Period Growth – Use date range filters to compare sales across different months or quarters to identify growth trends.

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Use Cases

  • Location Performance Analysis – Identify top-performing locations and understand what drives their success
  • Package Strategy – Determine which tariff plans to promote or retire based on revenue contribution
  • Capacity Planning – Use sales data by location to plan network upgrades and infrastructure needs
  • Agent/Location Assignment – Allocate agents to high-potential locations based on revenue data
  • Pricing Strategy – Analyze which plans are most popular and consider pricing adjustments
  • Forecasting – Use historical trends to forecast revenue for upcoming periods
Export monthly sales reports by location and tariff plan to create comprehensive business reviews. Compare month-over-month to spot emerging trends before they impact your bottom line.
For agent-specific performance metrics, see Agent Reports. For customer-level activity, see Customer Reports. For payment collection status, see Payment Reports.