Analytics & Reporting

Data-driven decisions lead to better business outcomes. DokanGo's analytics and reporting system provides deep insights into every aspect of your business, from customer behavior to product performance to geographic trends.

Overview

The analytics system transforms your business data into actionable insights, helping you understand what's working, what's not, and where opportunities lie.

Key Capabilities

• Dashboard analytics with key metrics
• Order funnel analysis
• Customer analytics and lifetime value
• Product performance tracking
• Geographic insights
• Time-to-deliver analysis
• Promo code analytics
• Custom date ranges
• Data export capabilities

Dashboard Analytics

Your dashboard provides an at-a-glance view of business performance.

Key Metrics

Revenue Metrics:

• Total revenue (today, this week, this month)
• Revenue trends (up or down vs previous period)
• Average order value
• Revenue by payment method

Order Metrics:

• Total orders
• Orders by status (pending, confirmed, shipped, delivered)
• Order conversion rate
• Cancelled order rate

Customer Metrics:

• Total customers
• New customers (this period)
• Returning customer rate
• Customer lifetime value

Product Metrics:

• Total products
• Products in stock
• Low stock alerts
• Best-selling products

Revenue Chart

Visual representation of revenue over time:

• Daily, weekly, or monthly view
• Compare multiple time periods
• Identify trends and patterns
• Spot seasonal fluctuations

Order Funnel Analysis

Understand how customers move through the purchase process and where they drop off.

Funnel Stages

1. Store Visitors - People who visit your store
2. Product Views - Visitors who view product pages
3. Add to Cart - Visitors who add items to cart
4. Checkout Started - Customers who begin checkout
5. Orders Completed - Customers who complete purchase

Conversion Rates

Track conversion at each stage:

• Visitor to product view: X%
• Product view to cart: X%
• Cart to checkout: X%
• Checkout to order: X%
• Overall conversion: X%

Drop-Off Analysis

Identify where customers abandon the purchase process:

• High drop-off at product view → Improve product pages
• High drop-off at cart → Reduce cart friction
• High drop-off at checkout → Simplify checkout process

Customer Analytics

Deep insights into customer behavior and value.

Customer Segmentation

By Value:

• VIP customers (high lifetime value)
• Regular customers (moderate value)
• Occasional shoppers (low value)
• One-time buyers

By Behavior:

• Frequent buyers (high purchase frequency)
• Seasonal shoppers (buy during specific times)
• Discount seekers (only buy with promos)
• Full-price buyers

By Recency:

• Active (ordered recently)
• At-risk (haven't ordered in 60+ days)
• Churned (haven't ordered in 180+ days)

Lifetime Value Analysis

See which customers generate the most profit:

• Total revenue per customer
• Total orders per customer
• Average order value
• TRUE profit per customer (including all costs)

Purchase Patterns

Understand customer buying behavior:

• Average time between orders
• Preferred product categories
• Preferred payment methods
• Typical order size
• Response to promotions

Product Performance

Track which products drive your business.

Best Sellers

Products ranked by:

• Total revenue generated
• Units sold
• Profit contribution
• Growth rate

Product Profitability

See TRUE profit for each product:

• Revenue
• Product cost
• Delivery costs allocated
• Ad spend allocated
• Return losses
• Net profit

Category Performance

Analyze performance by category:

• Revenue by category
• Profit margin by category
• Units sold by category
• Growth trends

Product Trends

Identify trends over time:

• Rising stars (growing sales)
• Declining products (falling sales)
• Seasonal products (periodic spikes)
• Consistent performers (steady sales)

Geographic Insights

Understand where your customers are and which locations are most profitable.

Customer Distribution

See where your customers are located:

• By division
• By district
• By upazila
• By thana

Revenue by Location

Track revenue generation by geography:

• Highest revenue locations
• Fastest growing locations
• Underperforming locations

Profitability by Location

TRUE profitability varies by location due to delivery costs and return rates:

• Most profitable locations
• Least profitable locations
• Delivery cost impact by location
• Return rate by location

Market Opportunities

Identify expansion opportunities:

• High-population areas with low penetration
• Locations with high average order value
• Areas with low return rates

Time-to-Deliver Analysis

Understand delivery performance and its impact on customer satisfaction.

Average Delivery Time

Track how long deliveries take:

• Overall average
• By location
• By courier
• By product type

On-Time Delivery Rate

Measure reliability:

• Percentage delivered on time
• Percentage delivered late
• Average delay for late deliveries

Impact on Returns

Analyze correlation between delivery time and returns:

• Return rate for fast deliveries (1-2 days)
• Return rate for slow deliveries (5+ days)
• Optimal delivery time for your business

Promo Code Analytics

Measure the effectiveness of promotional campaigns.

Code Performance

For each promo code, track:

• Total uses
• Total discount given
• Revenue generated
• Average order value with code
• New vs returning customers using code

ROI Analysis

Calculate return on investment for promotions:

• Revenue from promo code orders
• Discount cost
• Net revenue
• Profit margin with discount

Customer Acquisition

Track which codes attract new customers:

• New customer percentage by code
• Customer lifetime value from promo acquisitions
• Long-term value of discount campaigns

Custom Date Ranges

Analyze any time period that matters to your business.

Preset Ranges

• Today
• Yesterday
• This week
• Last week
• This month
• Last month
• This quarter
• This year

Custom Ranges

Select any start and end date to analyze:

• Specific campaign periods
• Seasonal comparisons
• Year-over-year analysis
• Custom reporting periods

Period Comparison

Compare two time periods side-by-side:

• This month vs last month
• This year vs last year
• Before and after changes
• Campaign period vs baseline

Data Export

Export analytics data for further analysis or reporting.

Export Formats

CSV:

• Raw data for spreadsheet analysis
• Import to other tools
• Custom calculations

Excel:

• Formatted reports
• Charts and graphs included
• Ready for presentations

PDF:

• Professional reports
• Share with stakeholders
• Print-ready format

What You Can Export

• Order data
• Customer data
• Product performance
• Financial reports
• Custom analytics queries

Best Practices

Review Dashboard Daily - Start each day by checking key metrics.

Track Trends, Not Just Numbers - Look for patterns over time, not just current values.

Segment Your Analysis - Break down data by customer type, location, product category, etc.

Act on Insights - Use data to make decisions, not just to observe.

Set Goals and Track Progress - Define targets and monitor progress toward them.

Compare Periods - Always look at trends and comparisons, not isolated numbers.

Focus on Profitability - Revenue is important, but TRUE profit is what matters.

Use Funnel Analysis - Identify and fix bottlenecks in the customer journey.

Monitor Customer Lifetime Value - Focus on long-term customer relationships, not just individual sales.

Export for Deep Dives - Use exports when you need detailed analysis beyond dashboard views.

Related Topics

• Profitability Reports - Deep dive into profit analysis
• Financial Reports - Comprehensive financial statements
• Customer Management - Customer relationship tools
• Product Management - Product catalog management