One of the biggest challenges in the e-commerce ecosystem is the fragmentation of marketing data. Each channel has its own metrics, attribution models, and, in many cases, its own reports.
The result is clear: too much data coming from scattered sources that are not always easy to consolidate.
In line with this, Shopify has recently announced the availability of Shop Campaigns data via ShopifyQL, allowing external analytics and reporting tools to consume this information directly.
What are the implications of this announcement from a marketing, analytics, and business perspective?
Let's analyze it step by step. And to do so, let's start by knowing:
ShopifyQL incorporates Shop Campaigns data: what exactly changes
Shopify has confirmed that Shop Campaigns performance data is now available via ShopifyQL.
Available metrics include:
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Ad Spend
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Sales
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Orders
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ROAS (Return on Ad Spend)
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Average Order Value (AOV)
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Customer Acquisition Cost (CAC)
Additionally, this data can be analyzed at the campaign level, by customer segment, and by time period.
So far, the news is clear.
But the real interest lies in the following statement: analytics and reporting applications can access this data directly.
The interesting thing about this move is that Shop Campaigns is no longer just a functionality within Shopify but becomes an integrable data source within the company's analytics stack.
In other words: we are no longer just talking about consulting the performance of Shop Campaigns in Shopify, but about being able to compare it with the rest of the channels.
How will it affect Triple Whale, Northbeam, Elevar, and other marketing analytics platforms?
Shopify specifically mentions platforms like Triple Whale, Northbeam, or Elevar.
The message is significant because it shows that Shopify is not only thinking about its native reports but also about the ecosystem of partners specialized in analytics and attribution.
For these platforms, it means the possibility of incorporating Shop Campaigns into their dashboards and marketing models.
What possibilities does it open up for Power BI, Tableau, Looker Studio, and BI teams?
Perhaps this is the most interesting part for organizations with internal data teams.
Shopify specifically mentions that teams can access this data via ShopifyQL to build reports in tools such as:
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Power BI
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Tableau
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Looker Studio
This allows the integration of Shop Campaigns within broader analytical models.
For example, combining:
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Marketing data.
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Sales data.
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Profitability.
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Operating costs.
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Customer information.
In this way, the analysis no longer focuses solely on advertising efficiency and begins to focus on the actual impact on the business.
Why is this move relevant for e-commerce, marketing, and analytics?
This announcement has great business relevance that goes beyond analytics:
· It represents another step towards a unified business vision.
· It helps eliminate data silos.
In environments where data is a strategic asset, having a global and unified business vision allows for better decisions aligned with growth objectives.