Introducing Firebase PredictionsYouTube↗  IA↗(long shot)
Science & Technology  53.6K views 287 likes 7 dislikes   31 Oct 2017
Firebase 416K subscribers United States YouTube↗


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SPEAKER: Analytics are great for knowing what
アナリティクスは
people have done in your app.
ユーザーのアプリでの行動を 知るのに優れています
But there are some things you might want to know before they happen.
でも 事前に知りたいこともあります
Wouldn't it be great to anticipate which users are likely to churn--
どのユーザーが離脱しそうかを 予測できたらいいですよね
when they disengage with using your app,
ユーザーがあなたのアプリの使用をやめると
and an app a user is disengaged with is one that's forgotten about, and then possibly
使用されなくなったアプリは 忘れられて
one that gets uninstalled in future?
将来 アンインストールされる 確率は高くなるでしょう
Or wouldn't it be great to know which users are likely to make an in-app purchase, or the users
また アプリ内購入をしそうなユーザーと しなそうなユーザーを
who are not likely to make one, so you
予測できたらいいですよね
can come up with a strategy to build a best experience for both?
そうすれば 両方に対する戦略を立て 最良の体験を築けます
Nobody can read the future.
将来の予測は誰にもできませんが
But based on their past behavior,
過去の行動に基づいて
we can create a machine-learned model
機械学習したモデルを作成し
that can predict what users might do.
どのユーザーが何をしそうかを 予測できます
You can identify which users might stop using your app,
どのユーザーがアプリを離脱する 恐れがあるかを識別できるので
so you can then personalize your app for them using Remote Config to offer them something that
Remote Configを活用して 対象ユーザー向けにカスタマイズし
reengages them with your app or rewards them
彼らにアプリを また利用してもらえるものや
for being a valuable customer.
価値あるお客様としての特典を 提供できます
And not only that, but predictions refresh daily,
さらに 予測は日々更新されるので
so you can continue to personalize your experience.
アプリ内での体験を カスタマイズし続けられます
Beyond churning, another metric that's really nice to know
事前に知りたい 離脱に勝るもう１つのデータは
ahead of time is which users are likely to spend money in your app and which ones aren't.
どのユーザーがアプリ内購入 してくれそうか そうでないかです
This can help you decide what to do with these users
それにより こうしたユーザーの扱い方を決め
to help you stay profitable while optimizing their user
ユーザー エクスペリエンスを 最適化しつつ
experience.
収益性を高く保てます
So for example, the gamer who is predicted to make an in-app purchase can continue playing,
例えば アプリ内購入しそうなユーザーは プレイを継続できても
but the one who isn't likely to make one
アプリ内購入しなそうなユーザーには
could get a rewarded ad between levels instead.
代わりにレベルの合間に 特典広告を出せばいいでしょう
Not only that, but if you use custom conversion
それだけでなく アプリのアナリティクス内で
events in your app's analytics, You
カスタム コンバージョン イベントを 活用する場合
can do a prediction of these, too.
その予測も行えます
So for example, if your app sends notifications to its users and you track this, you
例えば アプリからユーザーへ 送信する通知を追跡すると
can then predict which users are not going to interact with the notification
どのユーザーが 通知を無視するかを予測でき
and simply not send notifications to them in future.
そうしたユーザーには 今後 通知の送信をやめられます
That's Firebase Predictions, built
以上がFirebase Predictionsです
on Google machine learning to let you anticipate your user's
Google機械学習に基づき ユーザーの行動を予測できるのです
behavior. You can learn more at firebase.google.com/predictions.
firebase.google.com/predictionsで さらに学べます
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