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    エンタープライズ EyeQ

    Learn more about エンタープライズ EyeQ
    より高いパフォーマンスをもたらすインセンティブキャンペーンの創出に

    米国の自動車産業は毎年、販売促進に合計数十億ドルを費やしています。この業界は支出を切り詰めることで知られていますが、リベートとインセンティブは業界で最も管理が行き届いていない経費カテゴリーであり、収益の10 ~ 20%を占めるケースもあります。在庫不足によってディーラーはベストプラクティスを放棄し、顧客とのつながりを失いました。その結果、ブランドロイヤルティは低下しており、OEMは誰がどのようなインセンティブを受け取るかを管理するための、より賢明な方法を必要としています。エンタープライズEyeQ は Mastermind と連携して顧客データを統合し、OEM がプライベートインセンティブキャンペーン設計に使用する顧客データを顧客に直接展開し、ディーラーネットワーク全体のトラフィックを促進します。

    *表示されている製品画像はコンセプトを示すものであり、Private Offer Studio の最終製品版を反映していない場合があります。

    販売増分を効率良く最大化するために OEMアカウントディレクターが電話でご説明します
    リクエスト
    プライベートインセンティブがディーラーにもたらす恩恵とは? 短い概要説明はこちらをクリック
    確認する

    エンタープライズ EyeQがOEMにもたらすもの

    ブランドロイヤルティの向上と収益性のサポート

    確信を持ったインセンティブオファー設計とキャンペーンのより迅速な展開

    販売台数とキャンペーン費用の正確な予測


    お客様の声

    “「プライベートインセンティブによってお客様に喜んでいただける機会が提供できました。1,500ドルのプライベートインセンティブを含んだ車両アップグレードをお勧めしAudi SQ7をお買い上げいただけました。これはMastermindの予測マーケティングのおかげです。お客様は納得できる支払いでより良い車に乗れることに大変お喜びでした」”
    – Camden Axel Steele: New Vehicle Director, Audi North Park

    “「Mastermindを通じてプライベートインセンティブを追加、取引成立が増え、支払ギャップを縮めてロイヤル顧客を維持することができ、お客様にも喜んでいただけました」”
    - Val Pereira: General Sales Manager, Smythe Volvo Cars


    ニーズを満たすソリューション

    販売増分の最大化を目指すOEMの皆様に、S&P Global Mobilityはデータ主導型の販売キャンペーン計画ツールである エンタープライズ EyeQ を提供しています。このプラットフォームは、OEMの皆様が顧客固有のインセンティブを展開し、ブランドロイヤルティを高め、収益性をサポートできるよう開発されました。お客様が業界イノベーションの最前線にいるための貴重なインサイトと比類なきデータを提供することこそ、S&P Globalが重視するものです。


    エンタープライズ EyeQを構成する3 つのコンポーネント

    Vehicle Affinity

    Vehicle Affinity モデルは、登録車データと人口動態データを組み合わせて車両セグメントのトレンドを分析し、どの市場顧客が購入する可能性が最も高いかを正確に予測します。

    Price Sensitivity

    Price Sensitivityモデルは、さまざまな価格帯の個々の車両を対象に顧客が購入する可能性を計算します。さまざまな価格におけるすべての顧客と車両の組み合わせに対する行動予測スコアの計算も含まれます。

    Optimization Engine

    Optimization Engineは、プライベートインセンティブ割り当てによる販売増分を最大化するために、OEMが設定するキャンペーンパラメータにしたがって潜在顧客の適切な組み合わせを自動的に選択します。


    利点

    高い評価を誇るS&P Globalのデータアセットとモデリング機能と予測マーケティングキャンペーンによって、業界トップクラスのインサイト収集が可能です。

    1億2,700万以上

    米国の世帯数

    3,000万以上

    毎月更新される予測データの行数

    4,000万以上

    年間発売新車台数

    30,000以上

    自動車ディーラー数


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    Steering into the future – Insights from NIO and ZF

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