当归因分析失效且人工智能改变规则时，如何优先考虑营销？
我在大型SaaS环境中面临市场营销优先级的挑战。我们需要协调10多个渠道和20多个活跃项目，这使得专注于重要指标变得极其困难。
长期以来，我们一直使用ICE（影响、信心、易用性）评分框架。然而，随着归因数据变得不那么可靠，以及人工智能不断改变战略格局，ICE显得过于反应性和简单。
我们正在寻找一种更准确，甚至是更具前瞻性的评分和优先级模型来评估我们的市场营销举措。你们使用了哪些框架或系统来应对这个问题？
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I'm struggling with marketing prioritization in a large SaaS environment. We have to orchestrate 10+ channels and 20+ active projects, making it incredibly difficult to stay focused on the metrics that matter.<p>For a long time, we've used the ICE (Impact, Confidence, Ease) scoring framework. However, with attribution data becoming less reliable and AI constantly shifting the strategic landscape, ICE feels too reactive and simplistic.<p>We're looking for a more accurate, perhaps even proactive, model for scoring and prioritizing our marketing initiatives. What frameworks or systems are you using to tackle this?