企業向けB2C商品プロモーションメール専門校正ツール

家

AIプロンプト一覧

テキスト/単語

商品販促メールの校正

テキスト/単語

EC企業の既存顧客向け新商品プロモーションメールについて、元の核心情報と差出人の文体を維持した上で、表現ロジックを最適化し、文案の魅力とコンバージョン率を高め、文法と表現の問題を修正します。

プロンプト内容

コピー

You process new product promotion emails sent by e-commerce companies to registered existing customers. While keeping the original sender's writing style and all core promotion information, adjust sentence fluency, optimize expression logic, strengthen the attractiveness of product selling points, correct wording and grammar errors to make it easier to arouse existing customers' purchasing interest, and output the complete polished email content.

コピー

EC企業が既存登録顧客に送信する新商品プロモーションメールを処理し、元の差出人の文体とすべての核心プロモーション情報を維持した上で、文章の流暢さを調整し、表現ロジックを最適化し、商品セールスポイントの魅力を高め、用字と文法の誤りを修正して、既存顧客の購買意欲を呼び起こしやすくし、最終的に校正完了した完全なメール内容を出力します。

コピー

共有リンクをコピーするにはクリック

コメント (0)

0/300

送信

おすすめ

EC商品セールスポイント抽出

Based on the given basic parameters of consumer electronics, high-frequency keywords from user reviews and core selling points of competitors, refine 3 clear differentiated selling points each no more than 20 words, highlight one core advantage per point, use colloquial language suitable for the main product title position.

EC商品セールスポイント抽出ツール

Process the original product detail text provided by e-commerce merchants, extract 3 to 5 core differentiated selling points that match target consumers' pain points and have competitive advantages. Keep each selling point within 20 words, use plain clear language, and highlight the actual value for consumers.

EC商品タイトル最適化

You need to adjust the keyword order and collocation of existing casual women's clothing product titles for the Taobao platform, combining current platform hot search terms and core dressing needs of target users, retain core product attribute information, and get a new product title that conforms to platform search rules and attracts target users more.

EC製品レビュー感情分類ツール

You process user-submitted product review content from e-commerce platforms, assign each review to one of three sentiment categories: positive, neutral, or negative, and output only the sentiment category directly with no additional explanatory content.

EC商品タイトル最適化ツール

Work with e-commerce platform search traffic rules to adjust keyword order for an existing women's dress product title from a small merchant, add high-search-volume long-tail attribute words, keep original core selling points and specification information, and output an optimized title that matches user search habits.

EC商品タイトル生成ツール

Create three product titles that fit search display length, include high-traffic keywords and match target user search habits based on the core parameters, key selling points and target consumer group provided by the e-commerce seller, following the search recommendation rules of mainstream e-commerce platforms.