Blog Article
July 11, 2022
If you’re a performance marketer, it can feel like your options for effective advertising are narrowing. Between Apple’s app tracking transparency (ATT) and limited ad targeting (LAT), the old ways of targeting users and tracking their behavior are going away.
Here’s the good news: despite privacy regulations, LAT, and ATT, you still have great options. Deep machine learning (ML) is proving highly effective at taking whatever first-party data you have and using it to identify and target the right audience at scale.
What’s more, these ML models are really good at finding your most ideal users in the digital universe — the people who go beyond app installation and take specific actions, such as buying in-game currency, funding a crypto wallet, or shopping in a marketplace.
In fact, rapid and sustained return on ad spend (ROAS) has never been within such easy reach — easy for deep neural networks, that is.
But what is deep learning exactly? How does it work? And why is it better than the AI offered by the legacy DSPs you’ve been using all along?
These are great questions and they deserve clear and concise answers. That’s why we wrote Machine Learning for Performance Marketers: A Primer. It explains in plain English terms, such as:
Why we wrote this primer
As a performance marketer, your company relies on you to expand the user base for your apps. Your media budget is limited, and you are judged based on the decisions you make when it comes to spending your budget, as well as the results those decisions deliver.
We believe you deserve clear explanations of the steps Moloco takes to ensure we reach the best audience for your campaign goals, and to make the most value of your media budget. As we are a deep machine-learning company by design, those explanations necessitate a rather deep dive into, well, deep neural networks and deep ML.
We encourage you to download the primer and learn about the next generation of ML-driven DSPs. Have questions? Would you like to see a demo? Contact us today.
Molocoのダブルエンドカード機能によって2つ目のインタラクティブなタッチポイントを追加することで簡単にエンゲージメントを高め、広告主のビジネス成長を促進できる理由をご覧ください。
AppleのSKAdNetwork(SKAN)を利用してモバイルアプリキャンペーンを最適化するのに役立つ7つのベストプラクティスに加え、プライバシーを優先するSKANのフレームワークにうまく対応してiOSのアトリビューション戦略を強化する方法をご紹介します。
MolocoはAppsFlyerのパフォーマンスインデックス第17版にて上位にランクインしました。これは、業界をリードするメディアパートナーを求めるモバイルアプリのマーケターにとって信頼できるベンチマークです。
Molocoが提供するシーズン戦略と業界インサイトを活用して2024年のホリデーキャンペーンの効果を最大限に高め、今シーズンのユーザー獲得を促進できます。