Meta说有57次购买。Shopify显示24.您不知道要信任哪个号码
This is one of the most common DTC frustrations of the past five years. Post-iOS14, platform attribution became unreliable. Meta's 7-day click window, Google's data-driven model, and Shopify's last-click reporting all conflict. You have four data sources and none of them agree — so scaling decisions become guesswork. The brand that wins connects Shopify and ads in one place first, then reviews Playbook priorities from reconciled data.
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与实际分析相比， Meta超属性转化率平均提高26%
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单击TikTok ，然后单击Meta的客户，然后谷歌将被计为三者的转化
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iOS14从Facebook删除了30–50%的可归因广告数据
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Shopify收入和Meta报告的收入从未匹配—即使在同一天
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Unified Dashboard pulls Shopify sales and ad platform data into one Insights view with consistent definitions—use ROAS Attribution for reconciled performance when your pixel and journeys support it. Multi-touch attribution (first/last/linear/time-decay/position-based; Markov & Shapley when journey volume supports it). Requires Alpomi pixel and sufficient converted journeys.
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Check Meta Ads Manager: 57 purchases, 4.2 ROAS. Check Shopify: 24 orders. Check Google Analytics: 31 conversions. Three different stories. No way to know which budget to increase.
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Check Alpomi: spend and orders in one view, reconciled ROAS alongside platform-reported figures. Review Playbook items before you scale.
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BFCM weekend: you're checking Meta, Google, TikTok, and Shopify separately every hour to understand what's happening.
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One dashboard for spend and attributed sales across channels on the scheduled sync—priorities surface in Playbook for your team to approve.
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一个与您的Shopify匹配的数字
协调平台数据与实际订单的统一归因
每周节省9–24小时
Per Measured/Sequent Partners research — DTC brands spend this on manual reporting. Alpomi eliminates it.
自信的扩展决策
根据您信任的数据，而不是平台过度报告来扩展广告系列
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