平台人工智能不断告诉您要花更多的钱。您需要值得信赖的优先事项。
Every platform's recommendation engine is designed with one goal: increase your spend on that platform. 'Expand your audience.' 'Try automated bidding.' 'Add more placements.' Alpomi's Playbook is different: it prioritises from reconciled performance and your goals. When it proposes pausing a campaign, your team reviews it. When it proposes shifting budget, you approve before anything changes in the ad platforms.
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优化平台AI建议以增加平台支出—而不是您的利润
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没有数据分析师，最多每周做出优化决策，或者根本不做出优化决策
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营销活动绩效变化通常会被错过几天，直到有人注意到
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渠道之间的预算重新分配需要手动检查所有平台并进行数学计算
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Alpomi analyses performance across connected platforms and turns patterns into Playbook priorities and proposed tasks. You see which campaigns need review, which creatives are fatiguing, and where a budget shift could help—without pulling exports yourself. Nothing applies until your team accepts it on the Action Board.
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Review campaigns manually each week. Notice one ad set is underperforming but not sure if it's temporary. Leave it running for another week. It's now wasted 2 weeks of budget.
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Playbook flags the ad set on day 3 with a proposed task to pause or refresh creative. You approve on the Action Board, then change the campaign in-platform. Budget saved.
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预算决策：在Google和Meta之间分配50/50 ，因为这是您一直在做的事情。
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Playbook proposes shifting budget from Meta to Google — Meta ROAS has dropped, Google looks stronger on reconciled data. You approve the task, then change budgets in-platform.
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更快的优化周期
问题在几天内被标记，而不是几周内被标记，因此不会将预算浪费在表现不佳的营销活动上
优先级与对账的ROAS一致，而不是平台支出
Playbook项目基于您的绩效，而不是平台的收入目标
无需数据分析师
具体、可操作的建议—而不是原始数据来解释自己
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