MolocoThis article is the second part of a series on decoding the open internet, focusing on how Moloco's SDK helps marketers achieve better ROI.
The open internet provides significant reach beyond walled gardens like Google and Facebook, but its complexity often leads to inefficiencies.
Intermediaries generate multiple bid requests for the same impression, causing marketers to compete against themselves and inflating costs.
Moloco SDK addresses this by creating a direct supply path between publishers and marketers, bypassing intermediaries and reducing fees.
Built on Moloco's ML platform, the SDK processes over 5.8 million bid requests per second, accessing high-quality publisher-level data such as user interactions, click locations, and watch times.
This improves ML predictions, leading to better targeting and ROI.
Additionally, the SDK gives marketers greater transparency and control over ad formats like playable, video, and native ads, ensuring accurate brand representation.
Key benefits include better ROI through fee reduction, enhanced ML predictions via reliable data, and improved creative transparency.
The article concludes by noting that Moloco continues to partner with publishers, benefiting both marketers and publishers.
A final post in the series will cover measurement on the open internet.
MolocoThe open internet offers vast, incremental scale for app marketers beyond walled gardens, but its complexity requires supply path optimization (SPO). With non-exclusive inventory and multiple bid requests per impression, advanced machine learning is crucial to select optimal paths, price bids accurately, and serve effective creatives in milliseconds.
First-party data, collected directly from users with consent, is crucial for marketers due to privacy regulations limiting third-party data. It enables accurate personalization, compliance, and cost savings. Key steps include ethical collection, maintaining clean data, and using it internally for product/marketing optimization and externally via commerce media networks.
MolocoIn-app bidding is increasingly preferred over waterfall due to efficiency, with around 80% of publishers now using it. It reduces latency, manual work, and improves ARPDAU by enabling simultaneous bids from all buyers. ML models in platforms like Moloco optimize bids in real-time, while waterfalls allow manual pricing control but risk inefficiency and reduced advertiser interest.
MolocoThe Moloco SDK is a new solution for app publishers to maximize revenue by accessing Moloco's global advertisers directly. It is a certified bidding partner for AppLovin's MAX and Unity's LevelPlay. The SDK benefits both marketers (improved ROI, better performance, transparency) and publishers (direct demand, ML technology, creative control). Partners praise its high eCPMs and performance.
MolocoHitapps, a mobile game developer, uses in-app advertising and hybrid monetization to balance revenue and user experience. Early adoption of Moloco SDK boosted ARPDAU by 5-15%. Key challenges include privacy changes (ATT, iOS updates, Google's Privacy Sandbox) and loss of control in mediation. Hitapps evaluates partners based on demand quality, ease of integration, and ARPDAU uplift.
AdjustSports betting apps face high acquisition costs and ad saturation. Success requires unbiased attribution via MMP, cross-channel cohesion, and off-season engagement through personalization and gamification. Avoid ad fraud and optimize ATT opt-ins.
UnityTo avoid cannibalizing subscriptions, apps should prime users for ads, use user-initiated formats like rewarded videos, and segment users by region or device to target ads to low-conversion users.
MolocoRetail media networks (RMNs) are rapidly growing but face myths about fragmentation and demand sourcing. Many consider building an SSP to attract demand, but this approach fails to scale. SSPs don't improve inventory performance, shift risk to advertisers, and risk commoditizing inventory. RMNs should instead leverage their unique first-party data and machine learning to drive relevance and performance, following models like Amazon, Meta, and Google to achieve sustainable growth.
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