台灣電商案例實測:採用「3D篩選法」從50,000+候選詞中精選1,200組核心關鍵字,包含:
競價演算法實作:
# 新加坡旅遊業自動出價模型片段 def dynamic_bid(max_cpc, quality_score): bid_adjustment = (quality_score ** 0.5) * 1.2 return min(max_cpc * bid_adjustment, max_cpc * 2.5)
實測將馬來西亞酒店業CPA從MYR 120降至MYR 85
- 產品系列 ├─ 筆電(預算NT$150,000/月) │ ├─ 遊戲筆電(ROAS 6.2) │ └─ 商務筆電(ROAS 4.8) └─ 週邊設備 ├─ 鍵盤(CPA NT$220) └─ 滑鼠(CPA NT$180)
LinkedIn廣告整合:
成效數據:
CREATE MODEL `ppc_bidding_model` OPTIONS(MODEL_TYPE='BOOSTED_TREE') AS SELECT keyword, device, hour, conversion_rate, historical_cpc FROM `ppc_dataset.historical_data`
def budget_allocator(campaign_performance): roas_weight = 0.6 ctr_weight = 0.3 impression_share = 0.1 score = (campaign_performance['ROAS'] * roas_weight + campaign_performance['CTR'] * ctr_weight + campaign_performance['ImpressionShare'] * impression_share) return score