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Multivariate Testing

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Multivariate Testing in  CPV tracker (CPV Lab or CPV One) is a testing method where multiple campaign elements—such as landing pages, offers, and creatives—are tested simultaneously to see which combination delivers the best performance. Unlike A/B testing, which compares two variations at a time, multivariate testing evaluates multiple factors in parallel.

Why Multivariate Testing Is Important

  • Complex Funnels: Many campaigns have multiple moving parts—landing pages, offers, creatives, targeting. Testing one variable at a time is often too slow.
  • Optimization Speed: Multivariate testing accelerates insights by analyzing many combinations at once.
  • Deeper Insights: Helps identify not only the best single element but the best combination of elements.

How It Works in CPV Tracker

  1. Campaign Setup
    • Add multiple landing pages and offers to a campaign.
    • Add variations of creatives and placements.
  2. Traffic Distribution
    • CPV tracker distributes traffic among all combinations (e.g., LP1+OfferA, LP1+OfferB, LP2+OfferA, LP2+OfferB).
    • Each combination is tracked separately.
  3. Reporting
    • Reports show performance by combination.
    • Metrics include CTR (landing page performance), EPC (offer performance), and ROI.

Example

Suppose you test:

  • Landing Pages: LP1 (short copy) and LP2 (long copy).
  • Offers: Offer A ($2 payout) and Offer B ($3 payout).

Combinations:

  • LP1 + Offer A
  • LP1 + Offer B
  • LP2 + Offer A
  • LP2 + Offer B

CPV tracker shows LP1 + Offer B delivers the best EPC. Instead of wasting budget on poor combinations, you focus only on the winner.

Benefits

  • Comprehensive Optimization: Optimize multiple elements simultaneously.
  • Efficiency: Faster than sequential A/B tests.
  • Scalability: Useful when testing across many verticals or GEOs.
  • Data-Driven Scaling: Clear picture of which mix of elements is most profitable.

Challenges

  • Traffic Requirements: Multivariate testing requires more traffic for statistical validity.
  • Complexity: Too many variations can overwhelm reports.
  • Data Noise: Low-traffic combinations may look misleading.

Best Practices

  • Start with 2–3 variables, not too many at once.
  • Ensure enough traffic volume to make reliable decisions.
  • Use CPV tracker’s traffic distribution rules (TDRs) to send more traffic to winners automatically.
  • Analyze both individual elements and combinations.

In summary, Multivariate Testing in  CPV tracker (CPV Lab or CPV One) allows you to quickly identify not just the best individual landing page or offer but the best-performing combination. It’s an advanced optimization method for affiliates managing complex funnels.

See also: Split Test, Funnel, Traffic Distribution Rules, Optimization Reports

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