BuyerKiosk's Analytics suite gives you a data-driven view of your store's performance across six specialized dashboards. This article walks you through each one so you know where to find the insights that matter most.
The Financial Analytics dashboard showing revenue trends, margins, and profitability metrics.
Accessing Analytics
Open your admin panel and click Reports in the left sidebar.
Select Analytics from the expanded menu.
You will land on the Financial dashboard by default.
Use the navigation tabs at the top of the page to switch between the six dashboards:
Dashboard | What It Shows |
Financial | Revenue, margins, return rates, year-over-year comparisons |
Inventory | Stock velocity, days-to-sale, category momentum |
Pricing | Brand/subcategory pricing health, overpriced and opportunity alerts |
Retention | Seller return rates, cohort analysis, visit frequency |
Stores | Peer store benchmarking with anonymized comparisons |
Wait Time | Customer wait patterns, NPS correlation, staffing recommendations |
Date Range Filters
Every dashboard includes a date range picker in the top-right corner. Choose from preset ranges or set a custom window:
7 Days -- Quick snapshot of the past week
14 Days -- Two-week trend view
30 Days -- Monthly overview (default)
60 / 90 Days -- Longer-term trends
MTD -- Month to date
YTD -- Year to date
Changing the date range reloads all charts and KPI cards on the current dashboard automatically.
Financial Dashboard
The Financial dashboard is your profit-and-loss command center.
KPI Cards at the top summarize:
Gross Sales -- Total revenue before returns
Net Sales -- Revenue after returns and adjustments
Gross Margin -- Profit percentage on items sold
Return Rate -- Percentage of sales returned
Charts include:
Year-over-Year Comparison -- Table comparing this period to the same period last year
Return Rate Trend -- Line chart tracking returns over time
Weekly Margin Trend -- Column chart showing margin performance by week
Buys-to-Sales Ratio -- How your buying activity tracks against sales volume
Tip: A rising buys-to-sales ratio without a corresponding sales increase may indicate overbuying or slowing sell-through.
Inventory Dashboard
The Inventory dashboard with velocity distribution, momentum signals, and category heatmap.
This dashboard helps you understand how quickly inventory moves and which categories are gaining or losing momentum.
KPI Cards:
Avg Days to Sale -- How long items sit before selling
Items Sold -- Total units sold in the period
Avg Margin -- Average profit margin across sold items
Active Categories -- Number of categories with recent activity, plus momentum signals (bullish/bearish arrows)
Key Panels:
Velocity Chart -- Color-coded column chart from green (fast sellers) to red (slow movers)
Momentum Grid -- Sortable table of categories with trend indicators
Category Heatmap -- Visual grid showing performance intensity across categories
Recent Signals -- Crossover alerts when a category shifts from bullish to bearish (or vice versa)
Tip: Drag and resize panels on the Inventory dashboard to customize your layout. Your arrangement is remembered for your next visit.
Pricing Dashboard
Brand pricing health analysis showing overpriced items and opportunity alerts.
The Pricing dashboard evaluates whether your items are priced appropriately based on sell-through speed and margin.
KPI Cards:
Total Combos -- Number of brand/subcategory combinations analyzed
Overpriced -- Items selling slowly with eroding margins (>45 days, <60% margin)
Opportunities -- Fast sellers at full margin that could potentially be priced higher (<14 days, 60%+ margin)
Healthy % -- Percentage of combinations with balanced pricing
Alert Panels:
Overpriced Alerts -- Lists brand/subcategory pairs that may need price reductions
Opportunity Alerts -- Highlights items where price increases may be justified
The main data grid lets you sort, filter, and page through all combinations with color-coded health indicators.
Retention Dashboard
Seller retention cohort analysis and visit frequency distribution.
Track how well you retain sellers (customers who sell items to your store) over time.
KPI Cards:
New Sellers -- First-time sellers in the period
Returning Sellers -- Repeat sellers
Avg Visits/Seller -- How often each seller comes back
Avg Containers/Visit -- Volume per visit
Charts and Tables:
New vs Returning -- Pie chart showing the split
Visit Frequency Distribution -- Bar chart of how many sellers visit 1x, 2x, 3x, etc.
Cohort Retention Table -- Tracks groups of sellers by their first-visit month and shows what percentage return in months 1, 2, and 3
Seller Insights -- Key takeaways generated from the data
Store Comparison Dashboard
Peer benchmarking with anonymized store comparisons.
Compare your store's performance against similar stores without revealing anyone's identity.
Peer Group Tabs:
Same Concept -- Stores of the same type
Revenue Tier -- Stores with similar revenue levels
Volume Tier -- Stores with similar transaction volumes
Comparison Cards show your percentile for:
Daily Revenue
Daily Buys
Wait Time
A detailed metrics grid breaks down additional performance indicators with visual markers showing where you stand relative to the group.
Note: All peer data is anonymized. Your store data is only compared against aggregate averages -- no individual store data is shared.
Wait Time Dashboard
Wait time heatmaps and customer satisfaction correlation analysis.
Understand when your store gets busy and how wait times affect customer satisfaction.
KPI Cards:
Avg Wait -- Average customer wait time
Peak Wait -- Longest wait recorded
NPS Correlation -- How wait time relates to customer satisfaction scores
Total Buys -- Transaction count
Peer Percentile -- How your wait times compare to similar stores
Visual Tools:
Wait Time Heatmap -- Grid showing wait times by day of week and hour of day
Buy Volume Heatmap -- Transaction volume mapped the same way
Wait vs Satisfaction Scatter Plot -- Shows the relationship between wait duration and customer scores
Peak Wait Times Table -- Lists your busiest periods
Staffing Recommendations -- Data-driven suggestions for scheduling adjustments
Tip: Use the heatmaps alongside the staffing recommendations to optimize your team's schedule around peak hours.