KARTE recommends track information on users viewing detailed screens of "items subject to conversion" such as goods, properties, job offers, etc.
By appropriately track the information of the items that the user is viewing, it is possible to know the item the user is interested in, and it is possible to make recommendation and reporting based on it.

Sample item browse tag

<script type="text/javascript">
try {
    krt("send", "view_item", {item_id: "0001",name: "KARTE T-shirt",price: 5000,
        l_category_name: 'catA', //親カテゴリ名
        s_category_name: 'catB', //子カテゴリ名l_category_cd:'12', //親カテゴリコードs_category_cd:'1234', //子カテゴリコード
        brand_name:'brandA', //ブランド名brand_cd:'branda', //ブランドコード
        favorite_num: 12,     //お気に入り登録件数
        review_num: 4,    //レビュー投稿数
        item_url: "https://example.com/0001",
        item_image_url: "https://example.com/image/0001.jpg"
    });
} catch(e) {
    if('krt' in window) {
        krt('send', '_error', {error_message: e.message
        });
    }
}
</script>

Event reference

  • イベント名: view_item

Required

Field name Overview Examples Type
item_id It is the ID of the item. Please cooperate those with the same ID system as those linked in the buy event. "item001" string
You can scroll

Recommendation

推奨フィールドは業界によって異なります。
下記はECの場合の例です。

Supplement

イベントストアから各業界に推奨の view_item の定義を確認できます。詳細は「イベントストア」のドキュメントをご参照ください。

(reference)Event store

Field name Overview Examples Type
name It is the name of the item. "KARTE T-shirt" string
price It is the price of the item. 5000 Number
l_category_name アイテムの親カテゴリ名 "catA" string
s_category_name アイテムの子カテゴリ名 "catB" string
l_category_cd アイテムの親カテゴリコード "12" string
s_category_cd アイテムの子カテゴリコード "1234" string
brand_name アイテムのブランド名 "KARTE" string
brand_cd アイテムのブランドコード "karte" string
favorite_num アイテムのお気に入り登録件数 12 Number
review_num アイテムのレビュー投稿数 4 Number
item_url Item Details Page URL. "https://example.com/0001" string
item_image_url The image URL of the item. "https://example.com/image/0001.jpg" string
You can scroll

Application example

Use for distribution trigger

You can deliver a Scenario only to users who are viewing items that meet certain criteria.

  • Viewing items in a specific category (category A)

    • view_item | l_category_name | categoryA | に等しい

  • Browsing items over 3000 yen

    • view_item | price | 3000 | more

Use for segments

You can segment only those users who tend to read specific items.

  • I often look at brand A
    • すべての期間 | view_item | brand_name | 最も頻度が高い値 | brandA | に等しい

others

  • Recommend related products based on viewing item_id