Marketing Forward 未來市野
IG: marketingforwardpodcast機不離手的生活習慣變成新自然, 如何有效應用網上行為將成為新常識！從 IG 和 FB 開始講一些冷知識，也可以稱這些為“網上行銷 (Digital Marketing)”的資訊。內容不只限於商業層面上，現今任何人Upload一張照片或出一個Post 都可以是網上行銷。了解更多網上行為，讓大家打造好自己的Digital Presence。沒有錄音或做節目的Background，只是一個普通人在疫情期間做了這件事情，希望大家多多指導。
| Publishes | Daily | Episodes | 49 | Founded | 6 years ago |
|---|---|---|---|---|---|
| Language |  Korean | Number of Listeners | Categories | BusinessMarketingSelf-ImprovementEducation |
Listen to this Podcast
Latest Episodes
【核心觀點】 沒裝轉化追蹤 (Conversion Tracking) 就投廣告，就像在黑夜裡盲目開車，憑感覺感受廣告做得好不好。本集作為系列結尾，要帶你拆解為何缺乏數據支撐的 PMax 廣告只會讓你白白燒錢。
【內容精華】
營銷的靈魂： 什麼是「轉化」？為什麼我們建議沒裝好追蹤的企業應立即暫停廣告，以免數據流失。
PMax 的誤區： 揭秘為什麼在不了解 PMax 運作邏輯的情況下，盲目聽從 Google 代表建議開啟廣告是種危險行為。
AI 學習的肥料： 為什麼你的帳戶需要累積足夠數據... more
【核心觀點】 很多 SME 老闆辛苦設好廣告、文案與預算，過了好幾天依然零曝光。這不是 Google 系統出錯，而是你的帳戶設定踩到了「隱形陷阱」。
【內容精華】
點擊出價 (CPC) 太低： 揭秘為什麼你設定的價格買不到流量。我們會分享如何逐步調高出價，直到觀察到曝光出現的測試技巧。採取逐步調高 CPC 的策略，找到能讓廣告順暢運行。
品質分數 (Quality Score) 紅色警告： 如果你看到「很少顯示」的字眼，通常代表 Google 覺得你的關鍵字與文案不匹配。將關鍵字精準塞進文... more
【核心觀點】許多老闆在不了解原理的情況下誤用了「廣泛匹配 (Broad Match)」，卻沒有配合正確的自動化競價策略，導致廣告費不斷浪費，
【內容精華】
致命的錯誤組合： 揭秘為什麼在沒有開啟「智能競價 (Smart Bidding)」的情況下強行使用 Broad Match，會讓你的預算被雜訊流量吞噬。
解構 Smart Bidding：教你判定帳戶何時才具備使用 Maximize Conversion 或 Target ROAS 的資格，以及為什麼這是開啟廣泛匹配的唯一前提。
自檢... more
【核心觀點】
當 AI 技術成熟度達到 80%，市場規則正在重新編寫。市場不再需要低效率的執行者，不再是比拚執行速度，而是比拚決策深度。本集分享 2026 年營銷行業即將到來的劇烈變革的觀點和可能性。
【內容精華】
為什麼 2026 年是技術落地的臨界點？解析 AI 發展對營銷崗位的真實衝擊。
大機構的「組織冗餘」危機：為什麼行政與溝通成本將成為其致命傷。
洗牌期的生存法則：如何抓住這波機會，建立具備實質價值的個人品牌。
預約諮詢：
calendly.com/leve... more
Reviews
- good introduction of marketing
wish you could make more episode, including non-digital marketing in future
Apple Podcasts4dkct kok
Hong Kong4 years ago - good content
like the knowledge you share. love your sound.
keep update and i will follow👏
Apple Podcasts5howw219Hong Kong5 years ago
Chart Rankings
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #137 | Hong Kong/Business/Marketing |
Audience Metrics
Listeners, social reach, demographics and more for this podcast.
| Listeners per Episode | Gender Skew | Location | |||
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| Interests | Professions | Age Range | |||
| Household Income | Social Media Reach | ||||
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