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Tuesday, 20 August 2024

Monetizing with Ad Networks

 

Monetizing with Ad Networks

Alternatives to Google AdSense

Here are some alternatives to Google AdSense that you can consider for monetizing your website or blog:

  • Media.net: Powered by Yahoo and Bing, offers contextual ads similar to AdSense. Safe and reputable.
  • PropellerAds: Offers various ad formats like pop-unders and push notifications. Generally safe but choose ad formats wisely.
  • AdThrive: Premium ad network for high-quality content sites. Highly reputable but requires 100,000 monthly page views.
  • Ezoic: AI-driven platform optimizing ad placements. Safe with a strong reputation.
  • Infolinks: Specializes in in-text ads and banner ads. Generally safe, but may affect user experience.
  • Amazon Native Shopping Ads: Displays product ads from Amazon. Safe and reliable.
  • Sovrn: Converts product links into affiliate links. Safe and well-regarded.
  • Monumetric: Managed ad network focusing on user experience. Safe, requires 10,000 monthly page views.
  • Revcontent: Known for high-quality native ads. Safe among premium publishers.
  • Adversal: Offers display, native, and video ads. Safe, requires 50,000 monthly page views.

Using Multiple Ad Networks

You can use multiple ad networks simultaneously to maximize your earnings. This practice is called ad stacking or ad mediation.

  • Combine Different Ad Formats: Use different networks for different ad types, e.g., Google AdSense for display ads and Media.net for contextual ads.
  • Use Ad Mediation Platforms: Platforms like Ezoic or AdThrive can manage multiple ad networks and optimize for the highest revenue.
  • Strategically Place Ads: Place different ads in the header, sidebar, and in-content to ensure non-intrusive placements.
  • Monitor Performance: Track performance with analytics tools to adjust placements or prioritize better-performing networks.
  • Comply with Policies: Ensure using multiple networks doesn't violate any network's terms and maintain a positive user experience.
  • A/B Testing: Experiment with different ad network combinations to find the optimal setup.

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