Introduction Monetization performance in programmatic advertising can be affected by various factors, including device type, geographical reach, and traffic volume. Amagi provides this troubleshooting guide to help optimize revenue by identifying common issues and actionable solutions.

Device Considerations


CTV vs. Desktop Issue: Monetization rates are lower on desktop and mobile compared to Connected TV (CTV).

Why it matters:

  • CTV inventory typically commands higher CPMs (Cost per Mille) because advertisers prioritize premium, large-screen environments for brand messaging.
  • Desktop and mobile have more supply and lower engagement rates, leading to increased competition and lower CPMs.

Solution:

  • Prioritize CTV inventory where possible.
  • Ensure device macros (e.g., {{DEVICE_MAKE}}, {{DEVICE_MODEL}}) are correctly passed in bid requests.
  • Work with demand partners that actively buy CTV inventory.

Geographical Consideration

Region-Based Monetization Issue: Ad revenue is significantly lower in certain geographical regions.

Why it matters:

  • North America and Western Europe generate the highest CPMs due to strong advertiser demand.
  • Regions with lower digital ad spend (e.g., Latin America, Southeast Asia) typically see lower monetization rates.

Solution:

  • Prioritize traffic from the US, Canada, UK, Germany, and France to maximize revenue.
  • Implement geo-targeting rules to optimize demand for lower-yield regions.
  • Ensure IP and location macros (e.g., {{IP}}, {{LAT}}, {{LON}}) are passed correctly to demand partners.

Low Volume Issues Issue: Limited ad fill and revenue due to low traffic volume.

Why it matters:

  • Advertisers prioritize high-traffic publishers with consistent inventory.
  • Low-volume traffic may result in fewer bid responses from demand partners.

Solution:

  • Increase traffic acquisition efforts through content syndication or partnerships.
  • Work with multiple SSPs (Supply-Side Platforms) to expand demand coverage.
  • Ensure ads.txt and app-ads.txt files are correctly implemented to attract verified buyers.

Ad Requests Missing Key Macros Issue: Revenue loss due to missing targeting signals in bid requests.

Why it matters:

  • Advertisers rely on user signals (e.g., device type, location, content ID, and GDPR consent) for bidding decisions.

  • Missing or incorrect macros can result in lower bid rates or no bids at all.

Solution:

  • Validate demand tags using the SpringServe Tag Validator.

  • Ensure all essential macros (e.g., {{GDPR_CONSENT}}, {{US_PRIVACY}}, {{DEVICE_MAKE}}, {{IFA_TYPE}}) are included in bid requests.

  • Use the SpringServe Suggested Macros tool to automatically populate macros.

Content Type Consideration Issue: Some content categories monetize better than others.

Why it matters:

  • Advertisers prefer brand-safe, high-quality content.

  • Content that aligns with premium categories (e.g., sports, entertainment, news) often receives better ad rates.

Solution:

  • Classify content correctly using IAB categories ({{IAB_CATEGORY}}).

  • Ensure metadata (e.g., {{CONTENT_TITLE}}, {{CONTENT_GENRE}}, {{CONTENT_LIVESTREAM}}) is passed correctly.

  • Work with advertisers that prioritize premium content categories.

Conclusion Optimizing monetization requires a strategic approach that considers device type, geography, traffic volume, targeting accuracy, and content quality. By addressing these factors, Amagi partners can improve fill rates, CPMs, and overall revenue.