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Alva Digital Downloads

Download Logs

Track and analyze all download activity to monitor customer behavior, detect issues, and identify abuse.

Accessing Download Logs

Section titled “Accessing Download Logs”

Navigate to logs:

  1. Open Alva Digital Downloads app
  2. Go to Analytics → Download Logs

Shows: Every download attempt across all orders

Download Log Columns

Section titled “Download Log Columns”

Order Number

Section titled “Order Number”
Example: #1045
Links to full order details

Click: View order information

Customer

Section titled “Customer”
Name: John Smith
Email: john@example.com

Searchable: Find all downloads by customer

File Downloaded

Section titled “File Downloaded”
Filename: complete-course-bundle.zip
Size: 125 MB
Type: ZIP (all files) OR Individual file

Download Date & Time

Section titled “Download Date & Time”
Example: Jan 15, 2024, 4:05:48 PM
Timezone: Shop timezone
Precision: To the second

Sort: Most recent first (default)

Download Number

Section titled “Download Number”
Example: Download 2 of 5
Shows: Which attempt (if limit exists)

Use for:

  • Track how many times customer downloaded
  • Monitor limit usage
  • Identify repeat downloaders

IP Address

Section titled “IP Address”
Example: 192.168.1.1
Location: New York, USA (if geo lookup enabled)

Use for:

  • Geographic analysis
  • Abuse detection (multiple IPs per order)
  • Security monitoring

Privacy: Stored temporarily (30-90 days typically)

Device & Browser

Section titled “Device & Browser”
Device: Desktop
Browser: Chrome 120
OS: Windows 11


or


Device: Mobile
Browser: Safari
OS: iOS 17

Use for:

  • Mobile vs. desktop usage
  • Browser compatibility issues
  • User experience optimization

Download Status

Section titled “Download Status”

Status types:

✅ Successful

Download completed successfully
File delivered to customer

⏳ In Progress

Currently downloading
Large file, taking time

❌ Failed

Download started but didn't complete
Possible network interruption

🚫 Blocked

Access denied
Reasons: Expired, limit reached, revoked

Duration

Section titled “Duration”
Example: 45 seconds
or
Example: 2 min 15 sec

Calculated: Start to completion time

Use for:

  • Performance monitoring
  • File size optimization
  • CDN performance

Filtering Download Logs

Section titled “Filtering Download Logs”

Filter Options

Section titled “Filter Options”

By Status:

☐ All downloads
☐ Successful only
☐ Failed only
☐ In progress
☐ Blocked

By Date Range:

○ Today
○ Last 7 days
● Last 30 days
○ Last 90 days
○ Custom: [From] [To]

By Customer:

Search: john@example.com
Shows: All downloads by this customer

By Order:

Search: #1045
Shows: All download attempts for this order

By File:

Select file: complete-course-bundle.zip
Shows: All downloads of this specific file

By Device Type:

☐ Desktop
☐ Mobile
☐ Tablet

Download Analytics

Section titled “Download Analytics”

Overall Statistics

Section titled “Overall Statistics”

Dashboard shows:

Last 30 days:
Total downloads: 287
Successful: 281 (98%)
Failed: 6 (2%)
Average per order: 2.3 downloads
Unique customers: 143

Downloads Per Order Distribution

Section titled “Downloads Per Order Distribution”

How many times customers download:

1 download: 78 orders (55%)
2 downloads: 35 orders (24%)
3 downloads: 18 orders (13%)
4 downloads: 8 orders (6%)
5 downloads (limit): 4 orders (3%)

Insights:

Most customers: Download once ✓ (good sign)
Some: Download 2-3 times (normal - multiple devices)
Few: Hit limit (may need increase)

Download Timing

Section titled “Download Timing”

Time between purchase and first download:

Within 5 minutes: 65%
5-30 minutes: 20%
30 min - 2 hours: 8%
2-24 hours: 5%
24+ hours: 2%
Never: 0.5% (concerning)

Ideal: Most download within minutes (indicates good email delivery + engagement)

If delayed:

  • Email delivery issues
  • Customer confusion
  • Spam folder
  • Unclear instructions

Peak Download Times

Section titled “Peak Download Times”

When customers download most:

By hour:
Peak: 9-11 AM, 2-4 PM, 7-9 PM
Low: 2-6 AM


By day:
Monday: 18%
Tuesday: 17%
Wednesday: 16%
...
Saturday: 10%
Sunday: 9%

Use for:

  • System maintenance scheduling
  • CDN capacity planning
  • Support staffing
  • Marketing timing

File-Specific Analytics

Section titled “File-Specific Analytics”

Performance by File

Section titled “Performance by File”

Analyze individual files:

complete-course-bundle.zip:
Downloads: 143
Avg duration: 1 min 45 sec
Success rate: 99%
Avg size: 125 MB


vs.


large-video-course.zip:
Downloads: 45
Avg duration: 8 min 30 sec
Success rate: 92%
Avg size: 850 MB

Insights:

  • Large files = longer download, higher failure rate
  • Optimize large files or split into parts
  • Monitor success rate for quality issues

File Download Count

Section titled “File Download Count”

Most downloaded files:

1. complete-course-bundle.zip - 143 downloads
2. starter-template-pack.zip - 89 downloads
3. advanced-guide.pdf - 56 downloads

Use for:

  • Popular product identification
  • Resource allocation
  • CDN caching priorities

Geographic Analytics

Section titled “Geographic Analytics”

Downloads by Location

Section titled “Downloads by Location”

If IP geolocation enabled:

Top countries:
1. United States - 65%
2. United Kingdom - 12%
3. Canada - 8%
4. Australia - 5%
5. Germany - 4%
Other - 6%

Use for:

  • Market understanding
  • Expansion opportunities
  • Fraud detection (unusual locations)
  • Time zone considerations

Regional Performance

Section titled “Regional Performance”

Download success by region:

North America: 98.5% success rate
Europe: 97.8%
Asia: 96.2%
South America: 94.5%
Africa: 92.1%

Lower success in some regions:

  • Slower internet speeds
  • CDN coverage gaps
  • Network stability issues

Action: Optimize for key markets

Device Analytics

Section titled “Device Analytics”

Desktop vs. Mobile

Section titled “Desktop vs. Mobile”

Download breakdown:

Desktop: 68%
Mobile: 28%
Tablet: 4%

Mobile considerations:

  • Smaller file sizes better
  • WiFi recommended for large files
  • Mobile-optimized download page
  • Clear instructions

Browser Distribution

Section titled “Browser Distribution”
Chrome: 45%
Safari: 28%
Firefox: 12%
Edge: 10%
Other: 5%

Use for:

  • Browser compatibility testing
  • Feature support decisions
  • Bug prioritization

Detecting Issues

Section titled “Detecting Issues”

Failed Downloads

Section titled “Failed Downloads”

Review failed downloads:

Common failure reasons:

Network Interruption:

Download started: 4:05 PM
Duration before failure: 3 min 15 sec
File size: 500 MB
Likely cause: Internet connection dropped

Timeout:

File size: 2 GB
Timeout: 10 minutes
Issue: File too large for connection speed

Action:

  • Contact customer
  • Offer smaller file parts
  • Extended timeout for large files
  • Alternative delivery method

Slow Downloads

Section titled “Slow Downloads”

Identify slow downloads:

Filter: Duration >5 minutes
Review: File size vs. time


Example:
File: 50 MB
Duration: 12 minutes
Expected: 1-2 minutes


Issue: Slow customer connection or CDN problem

Investigate:

  • Customer location (CDN coverage)
  • File optimization opportunities
  • CDN performance
  • Network issues

Abuse Detection

Section titled “Abuse Detection”

Multiple IP Addresses

Section titled “Multiple IP Addresses”

Red flag pattern:

Order #1047:
Download 1: IP 192.168.1.1 (New York, USA)
Download 2: IP 45.123.67.89 (London, UK)
Download 3: IP 103.45.67.89 (Mumbai, India)
Download 4: IP 201.45.67.89 (Buenos Aires, Argentina)
Download 5: IP 78.123.45.67 (Moscow, Russia)


Pattern: 5 different countries in 24 hours
Likelihood: Link sharing / abuse

Action:

  1. Flag order for review
  2. Contact customer for verification
  3. Consider revoking access if confirmed abuse
  4. Document decision

Rapid Sequential Downloads

Section titled “Rapid Sequential Downloads”

Suspicious pattern:

Order #1048:
Download 1: 2:00:00 PM
Download 2: 2:00:15 PM (15 seconds later)
Download 3: 2:00:30 PM (30 seconds later)
Download 4: 2:00:45 PM (45 seconds later)
Download 5: 2:01:00 PM (1 minute later)


Pattern: Hitting limit as fast as possible
Likelihood: Automated downloading or sharing

Investigation:

  • Check download duration (instant = suspicious)
  • Verify file sizes match (downloaded full files?)
  • Contact customer

Geographic Anomalies

Section titled “Geographic Anomalies”

Unusual patterns:

Customer: Jane Doe
Billing: USA
Shipping: USA (if applicable)


Downloads:
Download 1: USA ✓
Download 2: China ✗
Download 3: Russia ✗
Download 4: Nigeria ✗


Pattern: Sudden international downloads
Action: Investigate, likely account compromise or sharing

Individual Order Download History

Section titled “Individual Order Download History”

Viewing Order-Specific Logs

Section titled “Viewing Order-Specific Logs”

From order details page:

  1. Go to Orders → Select order #1045
  2. Scroll to Download History section

Shows:

Download #1:
Date: Jan 15, 4:05 PM
IP: 192.168.1.1 (New York, USA)
Device: Chrome/Windows
Status: Successful
Duration: 45 sec


Download #2:
Date: Jan 16, 9:30 AM
IP: 192.168.1.50 (New York, USA)
Device: Safari/iPhone
Status: Successful
Duration: 1 min 12 sec


Downloads remaining: 3 of 5

Timeline View

Section titled “Timeline View”

Visual timeline:

Jan 15, 3:42 PM  - Order placed
Jan 15, 3:43 PM  - Email sent
Jan 15, 4:05 PM  - First download ✓ (Desktop)
Jan 16, 9:30 AM  - Second download ✓ (Mobile)

Insights:

  • 23 minutes from order to first download (good)
  • Downloaded on both desktop and mobile (normal pattern)
  • Using download allocation appropriately

Exporting Download Logs

Section titled “Exporting Download Logs”

Export Options

Section titled “Export Options”
  1. Click Export button
  2. Choose format:
    • CSV (Excel/analysis)
    • JSON (technical/API)
    • PDF (report/printing)

CSV Export contains:

Order Number, Customer Email, File Name, Download Date,
IP Address, Location, Device, Browser, Status, Duration

Use cases:

  • Custom analysis in Excel
  • Business intelligence tools
  • Accounting/auditing
  • Legal compliance
  • Pattern analysis

Privacy & Compliance

Section titled “Privacy & Compliance”

Data Retention

Section titled “Data Retention”

Download logs kept:

Standard: 90 days
Extended: 365 days (if enabled)

After retention period:

  • Logs automatically deleted
  • Aggregate stats retained
  • Complies with GDPR/privacy laws

Anonymization

Section titled “Anonymization”

For public analytics:

✓ Remove IP addresses
✓ Remove customer emails
✓ Keep: Order count, file names, timestamps

Use for:

  • Public reporting
  • Marketing materials
  • Case studies

GDPR Compliance

Section titled “GDPR Compliance”

Customer data request:

Customer requests: "Send me all my download data"


Export for customer:
• All their download records
• IP addresses used
• Devices used
• Timestamps

Deletion request:

Delete customer's download logs
Retain anonymous aggregate data only

Using Download Data

Section titled “Using Download Data”

Optimizing File Delivery

Section titled “Optimizing File Delivery”

Insights from logs:

High failure rate (>5%):

Action:
• Compress files more
• Split large files
• Optimize formats
• Improve CDN

Slow downloads (>expected time):

Action:
• Check CDN performance
• Optimize file sizes
• Test from different locations
• Consider regional CDNs

Improving Customer Experience

Section titled “Improving Customer Experience”

Low download rate (<90% of customers):

Why some customers don't download:
• Email in spam
• Confused about process
• Lost interest
• Technical issues


Actions:
• Improve email deliverability
• Clearer download instructions
• Follow-up reminders
• Better onboarding

Capacity Planning

Section titled “Capacity Planning”

Traffic patterns inform scaling:

Peak simultaneous downloads: 45
Average download size: 150 MB
Bandwidth needed: 6.75 GB/hour during peak


Plan for: 10 GB/hour capacity (buffer)
Monitor: Increase if approaching limit

Best Practices

Section titled “Best Practices”

1. Regular Monitoring

Section titled “1. Regular Monitoring”

Daily quick check (5 min):

☐ Any failed downloads today?
☐ Success rate still >95%?
☐ Any suspicious patterns?

Weekly review (30 min):

☐ Download trends (increasing/decreasing?)
☐ File performance
☐ Device/browser shifts
☐ Geographic changes
☐ Abuse patterns

2. Act on Failures

Section titled “2. Act on Failures”

Every failed download matters:

Failed download → Investigate → Contact customer → Resolve


Don't assume "network issue" - verify and help

3. Protect Customer Privacy

Section titled “3. Protect Customer Privacy”

Handle data responsibly:

✓ Store only necessary data
✓ Delete after retention period
✓ Anonymize for analysis
✓ Secure access (authentication)
✓ Comply with privacy laws

4. Use for Improvement

Section titled “4. Use for Improvement”

Let data drive decisions:

Data: Mobile downloads increased 25%
Action: Optimize mobile experience


Data: Large files have 15% failure rate
Action: Compress or split files


Data: 35% download within 5 minutes
Action: Excellent! Email delivery working well

5. Document Investigations

Section titled “5. Document Investigations”

When investigating abuse:

Date: Jan 20, 2024
Order: #1048
Issue: 5 downloads from 5 countries in 1 hour
Investigation: Contacted customer, no response
Action: Revoked access, documented

Why: Patterns, disputes, learning

Next Steps

Section titled “Next Steps”