Prompt

How do I find reliable rewarded ad networks for a mobile game that needs high fill rates and low-latency delivery?

Gaming / Mobile Gaming1 observationLast seen Jul 24, 2026

Latest observation

Jul 24, 2026OpenAI APIWeb search: off

To find reliable rewarded ad networks for a mobile game with high fill rates and low-latency delivery, focus on measurement, testing, and ad mediation rather than picking a network based on claims alone.

What to look for

Prioritize networks that have:

  • Strong rewarded inventory in your target geographies
  • Low latency ad serving and fast load times
  • High fill rate and stable eCPM
  • Good SDK reliability and frequent updates
  • Mediation support so you can add multiple networks and optimize automatically
  • Transparent reporting on fill, latency, timeout, and revenue

How to evaluate networks

1) Define your requirements

Before testing, decide:

  • Target countries
  • Android, iOS, or both
  • Minimum acceptable:
    • fill rate
    • ad load latency
    • show rate
    • error rate
    • eCPM

2) Use an ad mediation platform

Use a mediator like:

  • AppLovin MAX
  • Google AdMob Mediation
  • Unity LevelPlay (ironSource)

Why this helps:

  • You can connect several networks
  • Automatically route traffic to the best-performing source
  • Reduce dependency on one network
  • Improve fill and latency through bidding/waterfall optimization

3) Run A/B or split testing

Test each network or mediated setup on real traffic:

  • Compare by region, device type, app version, and session length
  • Measure:
    • fill rate
    • latency to first ad response
    • time to show
    • reward completion rate
    • timeouts and no-fill responses
    • crash rate or SDK issues

4) Check SDK performance and support

A good network should provide:

  • Stable SDK with minimal app size impact
  • Clear documentation
  • Responsive technical support
  • Compatibility with your game engine
  • Compliance tools for consent and privacy regulations

5) Review reputation and operational quality

Look for:

  • Developer feedback on forums and communities
  • Case studies from similar games
  • Network uptime and incident history
  • Payment reliability and minimum payout terms

Questions to ask ad networks

When talking to a network or sales rep, ask:

  • What is your rewarded ad fill rate in my top countries?
  • What are your average ad response times?
  • Do you support bidding or only waterfalls?
  • What is your timeout recommendation?
  • How do you handle no-fill and fallback?
  • What fraud detection and brand-safety tools do you use?
  • How often do you update the SDK?
  • Can you share benchmarks for games similar to mine?

Best practice setup

For a game needing both high fill and low latency, a common setup is:

  • Use one mediation platform
  • Add 3–6 reward-focused networks
  • Enable bidding where available
  • Set sensible timeouts
  • Use fallback networks for regions where primary demand is weaker

Shortlist approach

Start by testing a mix of:

  • Large general networks
  • Rewarded-video-specialized networks
  • Networks strong in your primary geographies

Then keep the ones that perform best on:

  1. Fill rate
  2. Latency
  3. Revenue
  4. Stability

If you want, I can also give you:

  • a checklist for evaluating ad networks
  • a recommended stack for rewarded ads
  • or a comparison of major mediation platforms.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

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