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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:
  • βœ… Real-time and historical data
  • βœ… Revenue and order tracking
  • βœ… Subscription metrics (MRR, churn, cohorts)
  • βœ… Customer insights and lifetime value
  • βœ… Product performance comparison
  • βœ… Traffic and conversion analytics
  • βœ… Geographic breakdowns
  • βœ… Customizable date ranges
  • βœ… CSV export capabilities

Dashboard Overview

Quick Stats (Overview Page)

Location: Dashboard β†’ Home Key metrics at a glance:
Today's Sales:        $1,245.00  ↑ 12% vs yesterday
This Month:           $42,580.00 ↑ 8% vs last month
Total Revenue:        $127,450.00
Total Orders:         3,245
Active Subscribers:   486
Conversion Rate:      3.2%
Period comparisons:
  • 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
Views:
  • 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
Granularity options:
  • 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
Example insights:
Revenue Growth (Last 30 days):

Week 1: $8,500
Week 2: $10,200  ↑ 20%
Week 3: $9,800   ↓ 4%
Week 4: $12,100  ↑ 23%

Total: $40,600
Average: $10,150/week
Trend: ↑ Positive growth

Revenue by Product

Sort options:
  • Highest revenue
  • Lowest revenue
  • Most orders
  • Highest AOV (Average Order Value)
Product metrics:
ProductRevenueOrdersAvg Price% of Total
Pro Course$28,450325$87.5442%
eBook Bundle$18,200910$20.0027%
Membership$12,800128$100.0019%
Templates$8,150407$20.0012%
Use cases:
  • 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 performance table:
SourceRevenueOrdersConversionAOV
Email$18,50018512.5%$100
Organic$15,2003803.2%$40
Social$8,9001782.1%$50
Direct$6,400808.0%$80
Optimization strategies:
  • 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:
This Month AOV:      $87.50
Last Month AOV:      $79.20
Change:              +10.5%
All-time AOV:        $82.40
Improving AOV strategies:
  • 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
Example view:
Top Products by Orders (Last 30 days):

1. eBook Bundle      - 910 orders  (32% of total)
2. Templates Pack    - 407 orders  (14%)
3. Pro Course        - 325 orders  (11%)
4. Membership (new)  - 128 orders  (5%)

Orders Over Time

Charts:
  • Daily order volume
  • Weekly comparison
  • Monthly trends
  • Year-over-year growth
Seasonality insights:
  • 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:
Unique Visitors:     10,000
Product Views:       4,500  (45% view rate)
Checkout Started:    450    (10% of viewers)
Completed Orders:    320    (3.2% conversion rate)
Conversion by source:
Email:        12.5%  (Best)
Direct:        8.0%
Organic:       3.2%
Social:        2.1%  (Needs improvement)

Checkout Funnel

Step-by-step analysis:
1

Product Page View

10,000 visitors land on product pages
2

Add to Cart / Initiate Checkout

1,500 click β€œBuy Now” (15% click-through rate)
3

Enter Information

1,200 start entering details (20% drop-off)
4

Payment Submission

500 submit payment (58% drop-off - investigate!)
5

Order Complete

450 successful orders (10% payment failure rate)
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%
Improvement tactics:
  • 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 breakdown:
Total Customers:     2,845
New This Month:      287  (10% growth)
Returning:           58   (20% repeat rate)
Average Orders:      1.14 per customer

Customer Lifetime Value (LTV)

Formula: Average Order Value Γ— Average Number of Purchases LTV tracking:
Average LTV:         $94.20
Top 10% LTV:         $450+
Median LTV:          $60
LTV by source:
Email subscribers:   $180  (3+ purchases)
Organic search:      $65   (1-2 purchases)
Social media:        $55   (mostly 1 purchase)
Increasing LTV:
  • Email nurture campaigns
  • Product recommendations
  • Subscription models
  • Loyalty programs
  • Upsells and cross-sells

Customer Cohorts

Track retention by signup month: Cohort analysis table:
CohortMonth 0Month 1Month 2Month 3Month 6
Jan 2024100%45%32%25%18%
Feb 2024100%52%38%28%-
Mar 2024100%58%42%--
Insights:
  • 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:
This Month:
- New Customers:     287  (83%)
- Returning:         58   (17%)

Last Month:
- New Customers:     312  (88%)
- Returning:         42   (12%)

Improvement: +5% repeat rate
Strategies for returning customers:
  • 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:
Current MRR:         $14,580
Last Month MRR:      $13,200
Growth:              +10.5%
Annual Run Rate:     $174,960  (MRR Γ— 12)
MRR movements:
New MRR:             +$2,400  (48 new subscribers @ $50/mo)
Expansion MRR:       +$320    (8 upgrades)
Contraction MRR:     -$180    (6 downgrades)
Churned MRR:         -$960    (24 cancellations)
Net New MRR:         +$1,580

Annual Recurring Revenue (ARR)

Formula: MRR Γ— 12
Current ARR:         $174,960
Projected ARR:       $210,000  (at current growth rate)

Churn Rate

Formula: (Canceled Subscriptions Γ· Total Active Subscriptions) Γ— 100 Monthly churn tracking:
Active Subscribers Start of Month:  480
Cancellations:                       24
Churn Rate:                          5.0%

Target Churn:                        < 5%
Status:                              ⚠️ At limit
Churn benchmarks:
  • Excellent: < 3% monthly
  • Good: 3-5%
  • Concerning: 5-10%
  • Critical: > 10%
Reducing churn:
  • Exit surveys to understand why
  • Retention offers before cancellation
  • Improve product value
  • Better onboarding
  • Proactive customer support

Subscriber Growth

Metrics:
New Subscribers:     48  (this month)
Cancellations:       24
Net Growth:          +24 subscribers
Growth Rate:         +5%
Growth chart (last 6 months):
Jul: 380 (+25)
Aug: 405 (+20)
Sep: 425 (+18)
Oct: 443 (+30)
Nov: 473 (+42)  ← Best month
Dec: 497 (+24)

Trial Conversion Rate

For subscription products with free trials: Formula: (Trials β†’ Paid) Γ· Total Trials Γ— 100
Trials Started:      120
Converted to Paid:   54
Conversion Rate:     45%

Target:              > 40%
Status:              βœ… Exceeds target
Improving trial conversion:
  • Engagement emails during trial
  • Value demonstration
  • Trial ending reminders
  • Easy conversion flow
  • Limited feature restrictions

Traffic Analytics

Unique Visitors

Tracking:
Today:               1,245 visitors
This Week:           8,960 visitors
This Month:          38,420 visitors
Trend:               ↑ 12% vs last month

Page Views

Most viewed pages:
PageViewsUnique VisitorsAvg Time
Homepage12,4508,2001:45
Pro Course5,6804,1003:20
Pricing3,8902,9002:10
Blog Posts8,5406,2004:35

Traffic Sources

Detailed source breakdown: Organic Search (45%):
  • Google: 92%
  • Bing: 5%
  • DuckDuckGo: 2%
  • Other: 1%
Social Media (25%):
  • Twitter/X: 48%
  • LinkedIn: 28%
  • Facebook: 15%
  • Instagram: 6%
  • Other: 3%
Referrals (15%):
  • Partner sites
  • Affiliate links
  • Guest posts
  • Directory listings
Direct (10%):
  • Bookmarks
  • Typed URL
  • Email clients (non-tracked)
Paid (5%):
  • Google Ads
  • Facebook Ads
  • LinkedIn Ads

UTM Campaign Tracking

Track marketing campaigns with UTM parameters: Example URL:
https://pocketsflow.com/p/pro-course?
  utm_source=twitter&
  utm_medium=social&
  utm_campaign=spring_sale&
  utm_content=thread_1
Campaign performance:
CampaignClicksOrdersRevenueROI
Spring Sale1,24048$4,200420%
Email Launch89067$6,700670%
Twitter Thread2,34028$2,240N/A

Geographic Analytics

Revenue by Country

Top countries:
CountryRevenueOrders% of TotalAvg Order Value
πŸ‡ΊπŸ‡Έ United States$45,20068048%$66.47
πŸ‡¬πŸ‡§ United Kingdom$12,80024014%$53.33
πŸ‡¨πŸ‡¦ Canada$8,9001589%$56.33
πŸ‡¦πŸ‡Ί Australia$7,2001158%$62.61
πŸ‡©πŸ‡ͺ Germany$5,600986%$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:
MetricPro CourseeBookMembershipTemplates
Revenue$28,450$18,200$12,800$8,150
Orders325910128407
AOV$87.54$20.00$100.00$20.00
Refund Rate2.1%5.5%1.0%8.2%
Views8,50012,4002,1005,600
Conversion3.8%7.3%6.1%7.3%
Insights:
  • Membership has best refund rate β†’ Happy customers
  • Templates high refund rate β†’ Quality issues?
  • eBook has highest conversion β†’ Optimize more products similarly

Track product performance over time:
Pro Course Revenue Trend (Last 6 months):

Jan: $3,200
Feb: $4,100  ↑ 28%
Mar: $5,800  ↑ 41%  ← Launch campaign
Apr: $4,900  ↓ 16%
May: $5,200  ↑ 6%
Jun: $5,250  ↑ 1%

Trend: Steady after launch spike

Payment Method Analytics

Payment Methods Used

Breakdown:
MethodOrders% of TotalAvg ValueRefund Rate
Credit Card2,68082%$853.2%
PayPal52016%$725.8%
Crypto452%$3200%
Insights:
  • 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:
Total Refunds (This Month):   42
Refund Rate:                   3.2%
Refunded Amount:               $1,680
Most Refunded Product:         Templates (8.2% rate)
Refund reasons (if tracked):
  • Not as described: 35%
  • Technical issues: 28%
  • Changed mind: 20%
  • Duplicate purchase: 10%
  • Other: 7%

Chargeback Rate

Formula: (Chargebacks Γ· Total Orders) Γ— 100
Chargebacks:         5
Chargeback Rate:     0.38%
Target:              < 0.65%
Status:              βœ… Under target
Risk threshold: > 1% chargeback rate may result in account review by payment processor.

Upsell & Cross-Sell Performance

Upsell Acceptance Rate

Metrics:
Upsell Offers Shown:     890
Upsells Accepted:        178
Acceptance Rate:         20%
Upsell Revenue:          $8,900
Top performing upsells:
Primary ProductUpsell OfferAccept RateRevenue Added
eBookPro Course28%$5,600
Free GuideeBook Bundle45%$2,100
TemplatesMembership15%$1,200

Discount Code Analytics

Discount Performance

Active discount codes:
CodeUsesRevenueDiscount GivenNet Revenue
SPRING20145$14,500-$2,900$11,600
WELCOME1089$7,120-$712$6,408
AFFILIATE2534$3,400-$850$2,550
Effectiveness:
  • 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:
This Month vs Last Month:
Revenue:        $42,580  vs  $39,420  (+8.0%)
Orders:         1,245    vs  1,180    (+5.5%)
AOV:            $34.20   vs  $33.40   (+2.4%)
Conversion:     3.2%     vs  3.0%     (+0.2pp)
Year-over-year:
Dec 2024 vs Dec 2023:
Revenue:        $42,580  vs  $28,900  (+47.4%)
Orders:         1,245    vs  920      (+35.3%)
Customers:      287      vs  198      (+44.9%)

Day of Week Analysis

Best performing days:
DayRevenueOrdersAOV
Monday$5,200142$36.62
Tuesday$6,100168$36.31
Wednesday$7,800210$37.14
Thursday$6,900189$36.51
Friday$5,800158$36.71
Saturday$4,200112$37.50
Sunday$3,980105$37.90
Use for:
  • Timing product launches
  • Scheduling email campaigns
  • Running promotions

Hour of Day Analysis

Peak sales hours (useful for launches):
Best hours:
1pm-3pm EST:    28% of daily sales
7pm-9pm EST:    22% of daily sales
10am-12pm EST:  18% of daily sales

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
Product filters:
  • Specific product
  • Product category
  • Price range
  • One-time vs. subscription
Customer filters:
  • New vs. returning
  • Customer segment
  • Purchase count (1st time, 2nd time, 3+)
  • LTV range
Geographic filters:
  • Country
  • Region/State
  • Currency
Source filters:
  • Traffic source
  • Campaign
  • Referrer
  • Device type (desktop, mobile, tablet)

Data Export

CSV Export Options

Exportable reports:
  • βœ… Revenue summary
  • βœ… Order details
  • βœ… Customer list
  • βœ… Product performance
  • βœ… Subscription metrics
  • βœ… Refund report
  • βœ… Traffic analytics
  • βœ… Custom filtered data
Export process:
  1. Navigate to desired analytics view
  2. Apply filters as needed
  3. Click Export CSV
  4. Select date range
  5. Choose columns to include
  6. Download file
CSV includes:
  • 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):
Active Visitors:         42
Orders in Last Hour:     8
Revenue Today:           $1,245
Pending Orders:          3
Recent orders feed:
2 minutes ago: Sarah B. - Pro Course - $87
5 minutes ago: John D. - eBook Bundle - $20
8 minutes ago: Mike T. - Membership - $100
Use cases:
  • 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
Weekly (30 minutes):
  • Analyze week-over-week growth
  • Review traffic sources
  • Check email campaign performance
  • Identify best-selling products
Monthly (2 hours):
  • Deep dive into all metrics
  • Compare to goals and benchmarks
  • Analyze customer cohorts
  • Plan next month’s strategy
  • Export data for accounting
Quarterly (half day):
  • Strategic business review
  • Set new goals and OKRs
  • Evaluate product portfolio
  • Analyze market trends
  • Plan major initiatives

Setting Goals & Benchmarks

Revenue goals:
Current MRR:             $14,580
Q1 Goal:                 $18,000  (+23%)
Monthly growth needed:   +7.5%
Metric targets:
  • 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:
  1. Validate ideas: Test before fully committing
  2. Prioritize work: Focus on high-impact changes
  3. Measure success: Track if changes worked
  4. Spot opportunities: Find untapped potential
  5. Cut losses: Stop what’s not working
A/B test examples:
  • Pricing changes
  • Product descriptions
  • Checkout flow
  • Email subject lines
  • Landing page designs

Troubleshooting

Data Discrepancies

If analytics don’t match expectations:
  1. Check date range: Ensure correct period selected
  2. Verify filters: Remove accidental filters
  3. Test mode vs. live: Make sure on correct mode
  4. Cache delay: Real-time data may have 5-10 min lag
  5. Timezone: Check dashboard timezone settings
Reconciling with accounting:
  • 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