Authenticated User Filtering: Clean Data for Real Insights

Your conversion rate shows 15%.

But your team visits 100 times a day. Your existing customers log in constantly. Your real conversion rate for new visitors? Maybe 2%.

TrackFox lets you filter out authenticated users for accurate data.

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The Dirty Data Problem

Who's Polluting Your Analytics?

Internal traffic:

• Your team checking the site
• QA testing
• Developers deploying
• Designers reviewing

Existing customers:

• Logging into their accounts
• Using the product
• Checking documentation
• Managing settings

Result: Inflated traffic, skewed conversions, meaningless metrics.

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Real Example

Unfiltered analytics:

• 10,000 visitors
• 1,500 conversions
• 15% conversion rate

After filtering authenticated users:

• 6,000 new visitors
• 120 conversions
• 2% conversion rate

Reality: Your actual conversion rate is 2%, not 15%.

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How Filtering Works

Identify Authenticated Users

When a user logs in:

// User authentication event
window?.trackfox("identify", {
  user_id: "user_12345",
  is_authenticated: true,
});

TrackFox marks this session as authenticated.

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Filter in Reports

Dashboard → Settings → Filters:

• Toggle "Exclude authenticated users"
• See metrics for new visitors only

Or filter per-report:

• Keep authenticated data for product analytics
• Filter for marketing analytics

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Segment Analysis

Compare authenticated vs. new visitors:

Metric	All Users	New Visitors	Authenticated
Visitors	10,000	6,000	4,000
Conversions	1,500	120	1,380
Conversion Rate	15%	2%	34.5%

Insight: New visitors convert at 2%. Authenticated users (existing customers) "convert" at 34.5% (re-purchasing, upgrades).

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Use Cases

Marketing Analytics

Goal: Understand how marketing drives new customers

Filter: New visitors only

Metrics that matter:

• Landing page conversion rate
• Traffic source quality
• Campaign performance
• First-time visitor funnel

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Product Analytics

Goal: Understand how customers use the product

Filter: Authenticated users only

Metrics that matter:

• Feature usage
• Activation rate
• Retention
• Expansion revenue

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Landing Page Optimization

Goal: Improve conversion for new visitors

Filter: New visitors only

Why: Your team and customers already converted. Testing should focus on unconverted visitors.

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Content Performance

Goal: See which content attracts new users

Filter: New visitors only

Insight: "This blog post brought 500 new visitors with 3% conversion rate" vs "This page had 2,000 views (mostly your team)."

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Implementation

Mark Users as Authenticated

JavaScript (client-side):

// When user logs in
function onLogin(user) {
  window?.trackfox("identify", {
    user_id: user.id,
    is_authenticated: true,
    plan: user.plan,
    role: user.role,
  });
}

Server-side:

// In your auth middleware
trackfox.identify({
  userId: user.id,
  traits: {
    is_authenticated: true,
    plan: user.plan,
  },
});

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Filter Internal Team

Option 1: Role-based filtering

window?.trackfox("identify", {
  user_id: user.id,
  is_internal: user.email.endsWith("@yourcompany.com"),
});

Option 2: IP-based filtering

Dashboard → Settings → IP Filters → Add office IPs

Option 3: Domain filtering

Automatically exclude traffic from your company domain.

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Toggle Filtering

Global default:

• Dashboard → Settings → Default view → Exclude authenticated

Per-report:

• Add filter condition when viewing reports
• Save filtered views for quick access

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Advanced Filtering

User Segments

Create custom segments:

• New visitors: Never identified
• Trial users: Authenticated, plan = trial
• Paid users: Authenticated, plan = paid
• Team members: is_internal = true

Compare segments:

Segment	Traffic	Conv Rate	Revenue
New visitors	6,000	2%	$12,000
Trial users	2,000	15%	$30,000
Paid users	1,500	8%	$18,000

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Exclude Specific Users

Filter specific user types:

window?.trackfox("identify", {
  user_id: user.id,
  exclude_from_analytics: user.role === "admin",
});

Use cases:

• Exclude admins
• Exclude support staff
• Exclude beta testers

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Before and After Comparison

Unfiltered Data (Misleading)

Homepage visitors: 50,000
Signups: 7,500
Conversion rate: 15%

Conclusion: "Our homepage converts great!"

Filtered Data (Accurate)

New homepage visitors: 30,000
New visitor signups: 600
Conversion rate: 2%

Existing user visits: 20,000
Existing user actions: 6,900

Conclusion: "Our homepage converts at 2%.
Most 'conversions' are existing users logging in."

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Privacy Considerations

What's Stored

Minimal data:

• User ID (your identifier)
• Authentication status
• Optional traits (plan, role)

Not stored:

• Personal information (unless you send it)
• Session content
• Private user data

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GDPR Compliance

Authenticated tracking requires:

• User consent (via your auth flow)
• Data processing documentation
• Right to erasure support

TrackFox supports:

• User data deletion on request
• Data export for portability
• Configurable retention periods

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Pricing

Authenticated user filtering included in all plans:

• User identification
• Segment filtering
• Custom traits
• IP filtering

$9/month for 10k events. 14-day free trial.

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Start Filtering for Clean Data

See your real conversion rate.

Start your free trial →

Stop letting internal traffic skew your metrics.

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Last updated: January 2026