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Customer Retention Rate

Whitelabel Affiliate Program

Recurring Revenue

Self-Liquidating Offer (SLO)

Private Affiliate Program

Incentivized Traffic

Exit-Intent Popups

Cross-Device Tracking

Dynamic Affiliate Links

Webinar Affiliate Marketing

Third-Party Cookie

Viral Marketing

Tracking Software

Self-Hosted Affiliate Program

Super Affiliate

Revenue Share Model

Multi-Channel Attribution

Programmatic Advertising

Micro-Influencer

Influencer Affiliate

First-Party Cookie

Data-Driven Marketing

Contextual Links

Evergreen Content

Customer Acquisition Cost (CAC)

Coupon Affiliate

Conversion Funnel

API Integration

Brand Ambassador

Affiliate Terms and Conditions

Affiliate Dashboard

Affiliate Agreement

Content Syndication

User-Generated Content (UGC)

Recurring Commissions

Affiliate Network

In-House Affiliate Program

Influencer Marketing

Mobile Affiliate Marketing

High Ticket Affiliate Marketing

SaaS Affiliate Programs

Lookalike Audience

CPM (Cost Per Mille)

Lifetime Value (LTV)

Third-Party Tracking

Lead Generation

Two-Tier Affiliate Program

Affiliate Disclosure

Sub-Affiliate Network

SEO (Search Engine Optimization)

ROI (Return on Investment)

Referral Marketing

Performance Marketing

Organic Traffic

PPC (Pay Per Click)

Niche Marketing

Native Advertising

Multi-Touch Attribution

Last Click Attribution

EPC (Earnings Per Click)

First Click Attribution

Demographic Targeting

Cookie Duration

Cost Per Lead (CPL)

Cost Per Click (CPC)

Cost Per Action (CPA)

Content Marketing

Call to Action (CTA)

Black Hat Marketing

Split Testing

Split testing, or A/B testing, compares two versions of a web page or ad to determine which performs better.

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