Overview
Pocketsflow provides comprehensive analytics to help you understand your business performance, track growth, and make data-driven decisions. Access detailed metrics on revenue, orders, customers, products, and traffic. Location: Dashboard β Analytics Key features:- β Real-time and historical data
- β Revenue and order tracking
- β Subscription metrics (MRR, churn, cohorts)
- β Customer insights and lifetime value
- β Product performance comparison
- β Traffic and conversion analytics
- β Geographic breakdowns
- β Customizable date ranges
- β CSV export capabilities
Dashboard Overview
Quick Stats (Overview Page)
Location: Dashboard β Home Key metrics at a glance:- Today vs yesterday
- This week vs last week
- This month vs last month
- This year vs last year
Revenue Analytics
Total Revenue
Track all-time and period-specific revenue: Metrics:- Gross Revenue: Total before any deductions
- Net Revenue: After refunds and chargebacks
- Revenue After Fees: Net payout after processing fees
- Revenue Growth Rate: Percentage increase/decrease
- Today
- Last 7 days
- Last 30 days
- Last 90 days
- This month
- This year
- All time
- Custom range
Revenue Over Time
Chart types:- Line chart: Show revenue trend over time
- Bar chart: Compare revenue by day/week/month
- Area chart: Visualize cumulative revenue growth
- Hourly - Last 24-48 hours (for tracking launches)
- Daily - Last 7-90 days
- Weekly - Last 12-52 weeks
- Monthly - Last 6-24 months
- Yearly - All years
Revenue by Product
Sort options:- Highest revenue
- Lowest revenue
- Most orders
- Highest AOV (Average Order Value)
| Product | Revenue | Orders | Avg Price | % of Total |
|---|---|---|---|---|
| Pro Course | $28,450 | 325 | $87.54 | 42% |
| eBook Bundle | $18,200 | 910 | $20.00 | 27% |
| Membership | $12,800 | 128 | $100.00 | 19% |
| Templates | $8,150 | 407 | $20.00 | 12% |
- Identify best-selling products
- Find underperforming products
- Optimize product pricing
- Decide what to promote
Revenue by Source
Track where revenue comes from: Traffic sources:- Direct: Typed URL or bookmark
- Organic search: Google, Bing, etc.
- Social media: Twitter, Facebook, LinkedIn, Instagram
- Email: Newsletter links
- Referral: Other websites linking to you
- Paid ads: Google Ads, Facebook Ads
- Affiliate: Affiliate partner links
| Source | Revenue | Orders | Conversion | AOV |
|---|---|---|---|---|
| $18,500 | 185 | 12.5% | $100 | |
| Organic | $15,200 | 380 | 3.2% | $40 |
| Social | $8,900 | 178 | 2.1% | $50 |
| Direct | $6,400 | 80 | 8.0% | $80 |
- Double down on highest-converting sources
- Improve underperforming channels
- Allocate marketing budget effectively
Order Analytics
Total Orders
Metrics:- Completed orders: Successfully paid
- Pending orders: Payment processing
- Failed orders: Payment declined
- Refunded orders: Money returned to customer
- Order success rate: Completed / (Completed + Failed)
Average Order Value (AOV)
Formula: Total Revenue Γ· Number of Orders Tracking AOV:- Add upsells to checkout
- Create product bundles
- Implement volume discounts
- Offer premium tiers
- Use order bumps
Orders by Product
Metrics per product:- Total orders
- Orders this period
- Growth rate
- Refund rate
- Average processing time
Orders Over Time
Charts:- Daily order volume
- Weekly comparison
- Monthly trends
- Year-over-year growth
- Identify peak sales periods
- Plan inventory and support
- Time promotions strategically
Conversion Analytics
Conversion Rate
Formula: (Completed Orders Γ· Unique Visitors) Γ 100 Funnel metrics:Checkout Funnel
Step-by-step analysis:
Drop-off points:
- High drop-off at information entry β Simplify form
- High drop-off at payment β Add more payment methods
- Payment failures β Better error messaging
Conversion Rate Optimization
Benchmark conversion rates:- Excellent: > 5%
- Good: 3-5%
- Average: 1-3%
- Needs work: < 1%
- Clear product descriptions
- High-quality images
- Social proof (testimonials, reviews)
- Money-back guarantee
- Multiple payment methods
- Simplified checkout
- Mobile optimization
Customer Analytics
Total Customers
Metrics:- Total unique customers
- New customers this period
- Returning customers
- Customer growth rate
- Repeat purchase rate
Customer Lifetime Value (LTV)
Formula: Average Order Value Γ Average Number of Purchases LTV tracking:- Email nurture campaigns
- Product recommendations
- Subscription models
- Loyalty programs
- Upsells and cross-sells
Customer Cohorts
Track retention by signup month: Cohort analysis table:| Cohort | Month 0 | Month 1 | Month 2 | Month 3 | Month 6 |
|---|---|---|---|---|---|
| Jan 2024 | 100% | 45% | 32% | 25% | 18% |
| Feb 2024 | 100% | 52% | 38% | 28% | - |
| Mar 2024 | 100% | 58% | 42% | - | - |
- Month 1 retention improving (45% β 58%)
- Target: Get 50%+ retention in month 1
- Focus on first 30 days onboarding
New vs. Returning Customers
Monthly breakdown:- Post-purchase email sequences
- Loyalty discounts
- New product announcements
- Exclusive content for buyers
Subscription Metrics
Monthly Recurring Revenue (MRR)
Calculation: Sum of all monthly subscription prices MRR tracking:Annual Recurring Revenue (ARR)
Formula: MRR Γ 12Churn Rate
Formula: (Canceled Subscriptions Γ· Total Active Subscriptions) Γ 100 Monthly churn tracking:- Excellent: < 3% monthly
- Good: 3-5%
- Concerning: 5-10%
- Critical: > 10%
- Exit surveys to understand why
- Retention offers before cancellation
- Improve product value
- Better onboarding
- Proactive customer support
Subscriber Growth
Metrics:Trial Conversion Rate
For subscription products with free trials: Formula: (Trials β Paid) Γ· Total Trials Γ 100- Engagement emails during trial
- Value demonstration
- Trial ending reminders
- Easy conversion flow
- Limited feature restrictions
Traffic Analytics
Unique Visitors
Tracking:Page Views
Most viewed pages:| Page | Views | Unique Visitors | Avg Time |
|---|---|---|---|
| Homepage | 12,450 | 8,200 | 1:45 |
| Pro Course | 5,680 | 4,100 | 3:20 |
| Pricing | 3,890 | 2,900 | 2:10 |
| Blog Posts | 8,540 | 6,200 | 4:35 |
Traffic Sources
Detailed source breakdown: Organic Search (45%):- Google: 92%
- Bing: 5%
- DuckDuckGo: 2%
- Other: 1%
- Twitter/X: 48%
- LinkedIn: 28%
- Facebook: 15%
- Instagram: 6%
- Other: 3%
- Partner sites
- Affiliate links
- Guest posts
- Directory listings
- Bookmarks
- Typed URL
- Email clients (non-tracked)
- Google Ads
- Facebook Ads
- LinkedIn Ads
UTM Campaign Tracking
Track marketing campaigns with UTM parameters: Example URL:| Campaign | Clicks | Orders | Revenue | ROI |
|---|---|---|---|---|
| Spring Sale | 1,240 | 48 | $4,200 | 420% |
| Email Launch | 890 | 67 | $6,700 | 670% |
| Twitter Thread | 2,340 | 28 | $2,240 | N/A |
Geographic Analytics
Revenue by Country
Top countries:| Country | Revenue | Orders | % of Total | Avg Order Value |
|---|---|---|---|---|
| πΊπΈ United States | $45,200 | 680 | 48% | $66.47 |
| π¬π§ United Kingdom | $12,800 | 240 | 14% | $53.33 |
| π¨π¦ Canada | $8,900 | 158 | 9% | $56.33 |
| π¦πΊ Australia | $7,200 | 115 | 8% | $62.61 |
| π©πͺ Germany | $5,600 | 98 | 6% | $57.14 |
International Growth Opportunities
Identify untapped markets:- High traffic but low conversion β Localize pricing/currency
- Zero sales in specific regions β Target marketing
- High refund rates β Check shipping/delivery issues
Product Performance
Product Comparison
Side-by-side metrics:| Metric | Pro Course | eBook | Membership | Templates |
|---|---|---|---|---|
| Revenue | $28,450 | $18,200 | $12,800 | $8,150 |
| Orders | 325 | 910 | 128 | 407 |
| AOV | $87.54 | $20.00 | $100.00 | $20.00 |
| Refund Rate | 2.1% | 5.5% | 1.0% | 8.2% |
| Views | 8,500 | 12,400 | 2,100 | 5,600 |
| Conversion | 3.8% | 7.3% | 6.1% | 7.3% |
- Membership has best refund rate β Happy customers
- Templates high refund rate β Quality issues?
- eBook has highest conversion β Optimize more products similarly
Product Trends
Track product performance over time:Payment Method Analytics
Payment Methods Used
Breakdown:| Method | Orders | % of Total | Avg Value | Refund Rate |
|---|---|---|---|---|
| Credit Card | 2,680 | 82% | $85 | 3.2% |
| PayPal | 520 | 16% | $72 | 5.8% |
| Crypto | 45 | 2% | $320 | 0% |
- PayPal higher refund rate (easier refunds)
- Crypto highest AOV (tech-savvy audience)
- Consider enabling more payment methods to increase conversion
Refund & Dispute Analytics
Refund Tracking
Metrics:- Not as described: 35%
- Technical issues: 28%
- Changed mind: 20%
- Duplicate purchase: 10%
- Other: 7%
Chargeback Rate
Formula: (Chargebacks Γ· Total Orders) Γ 100Upsell & Cross-Sell Performance
Upsell Acceptance Rate
Metrics:| Primary Product | Upsell Offer | Accept Rate | Revenue Added |
|---|---|---|---|
| eBook | Pro Course | 28% | $5,600 |
| Free Guide | eBook Bundle | 45% | $2,100 |
| Templates | Membership | 15% | $1,200 |
Discount Code Analytics
Discount Performance
Active discount codes:| Code | Uses | Revenue | Discount Given | Net Revenue |
|---|---|---|---|---|
| SPRING20 | 145 | $14,500 | -$2,900 | $11,600 |
| WELCOME10 | 89 | $7,120 | -$712 | $6,408 |
| AFFILIATE25 | 34 | $3,400 | -$850 | $2,550 |
- Discount vs. regular price conversion rates
- Revenue gained vs. revenue discounted
- Customer acquisition cost with discounts
Time-Based Comparisons
Period Comparisons
Compare any two periods:Day of Week Analysis
Best performing days:| Day | Revenue | Orders | AOV |
|---|---|---|---|
| Monday | $5,200 | 142 | $36.62 |
| Tuesday | $6,100 | 168 | $36.31 |
| Wednesday | $7,800 | 210 | $37.14 |
| Thursday | $6,900 | 189 | $36.51 |
| Friday | $5,800 | 158 | $36.71 |
| Saturday | $4,200 | 112 | $37.50 |
| Sunday | $3,980 | 105 | $37.90 |
- Timing product launches
- Scheduling email campaigns
- Running promotions
Hour of Day Analysis
Peak sales hours (useful for launches):Custom Filters & Segments
Available Filters
Apply multiple filters to any report: Date filters:- Today, Yesterday
- Last 7/30/90 days
- This week/month/quarter/year
- Custom date range
- Specific product
- Product category
- Price range
- One-time vs. subscription
- New vs. returning
- Customer segment
- Purchase count (1st time, 2nd time, 3+)
- LTV range
- Country
- Region/State
- Currency
- Traffic source
- Campaign
- Referrer
- Device type (desktop, mobile, tablet)
Data Export
CSV Export Options
Exportable reports:- β Revenue summary
- β Order details
- β Customer list
- β Product performance
- β Subscription metrics
- β Refund report
- β Traffic analytics
- β Custom filtered data
- Navigate to desired analytics view
- Apply filters as needed
- Click Export CSV
- Select date range
- Choose columns to include
- Download file
- Order ID, Date, Customer, Product
- Revenue, Fees, Net Amount
- Payment Method, Status
- Refund Status, Discount Used
- Traffic Source, Campaign
Integrations for Analytics
Connect to external tools:- Google Sheets - Auto-sync reports
- Google Analytics - Website traffic
- Segment - Customer data platform
- Mixpanel - Product analytics
- Amplitude - Behavioral analytics
Real-Time Analytics
Live Dashboard
Real-time metrics (updates every few seconds):- Monitor product launches in real-time
- Track campaign performance live
- Celebrate wins with team
- Identify issues immediately
Best Practices
Regular Review Cadence
Daily (5 minutes):- Check total sales vs. target
- Review top products
- Monitor conversion rate
- Check for anomalies
- Analyze week-over-week growth
- Review traffic sources
- Check email campaign performance
- Identify best-selling products
- Deep dive into all metrics
- Compare to goals and benchmarks
- Analyze customer cohorts
- Plan next monthβs strategy
- Export data for accounting
- Strategic business review
- Set new goals and OKRs
- Evaluate product portfolio
- Analyze market trends
- Plan major initiatives
Setting Goals & Benchmarks
Revenue goals:- Conversion rate: Improve 0.5pp per quarter
- AOV: Increase 10% with bundles
- Churn: Reduce to < 3%/month
- LTV: Grow to $120+
Data-Driven Decisions
Use analytics to:- Validate ideas: Test before fully committing
- Prioritize work: Focus on high-impact changes
- Measure success: Track if changes worked
- Spot opportunities: Find untapped potential
- Cut losses: Stop whatβs not working
- Pricing changes
- Product descriptions
- Checkout flow
- Email subject lines
- Landing page designs
Troubleshooting
Data Discrepancies
If analytics donβt match expectations:- Check date range: Ensure correct period selected
- Verify filters: Remove accidental filters
- Test mode vs. live: Make sure on correct mode
- Cache delay: Real-time data may have 5-10 min lag
- Timezone: Check dashboard timezone settings
- Analytics shows gross revenue
- Accounting shows net (after fees/refunds)
- Export both for comparison
Missing Data
Common causes:- Ad blockers preventing tracking
- UTM parameters missing or incorrect
- Third-party tracking scripts blocked
- Cookie consent required but not given
FAQ
How often does data update?
- Real-time metrics: Every 5-30 seconds
- Standard reports: Every 15 minutes
- Complex reports: Every hour
- Historical data: Daily at midnight
Can I track custom events?
Yes, use webhook events or API to send custom event data. Example: Track course completion, video views, download counts.How long is data retained?
All analytics data is retained indefinitely. Historical comparisons available for all time periods.Can multiple team members access analytics?
Yes. Grant team members access with different permission levels:- Admin: Full access
- Manager: View all reports
- Staff: View specific products/reports
- Read-only: View dashboards only
How do I track affiliate sales?
Use unique discount codes or UTM parameters for each affiliate. View revenue by code in discount analytics.Can I integrate with Google Analytics?
Yes. Add your Google Analytics tracking ID in Settings β Integrations. Pocketsflow events will appear in GA4.Next Steps
Orders & Customers
Manage orders and customer database
Subscriptions
Deep dive into subscription metrics
Upsells & Bundles
Optimize upsell performance
Marketing Tools
Connect marketing platforms