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Data Enhancers Explained

Read this article to learn the Intentwise data enhancers that you can leverage for your reporting needs on the Intentwise Analytics Cloud.

The Intentwise Data Enhancers are comprehensive data models designed to seamlessly integrate and consolidate disparate datasets. It serves as the backbone for extracting actionable insights rapidly and efficiently, eliminating the complexities associated with data connectivity and integration.  

Intentwise E-Commerce Graph:

This is Intentwise's proprietary data model, designed to stitch together the disparate datasets found in the Source Data model. With the E-Commerce Graph, users can extract insights rapidly without the hassle of connecting datasets.

  • Account Summary: Get a high-level overview of your e-commerce account's performance, enabling you to track key metrics and trends.

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  • Product Summary: Dive deep into your product performance metrics, helping you identify top-performing and underperforming products.

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  • Campaign Summary: Analyze the effectiveness of your advertising campaigns, allowing you to allocate budgets more efficiently.

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  • Keyword Summary: Understand which keywords are driving traffic and conversions, optimizing your keyword strategy accordingly.

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  • Product Targets Summary: Gain insights into your product targeting efforts and refine your targeting strategies.

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  • Search Term Summary: Explore the search terms that lead customers to your products, helping you refine your ad content.

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  • Label Summary: Utilize labels to categorize and track your products effectively, improving organization and analysis.

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  • Advertised Product Summary: Assess the performance of your advertised products to make informed decisions about your advertising efforts.

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Reference Tables:

A set of reference data and metadata tables that help enrich your data and enable faster reporting and analytics

  • Currency Exchange Rate:

    Keep up-to-date with currency exchange rates for accurate financial reporting.

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  • Date Dimension:

    Facilitate time-based analysis and reporting, helping you identify trends over specific timeframes.

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  • Custom Product Attribute:

    Enhance your product data with custom attributes to gain deeper insights.

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  • Product Cost:

    Understand the cost associated with your products, aiding in profitability analysis.

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  • Sub-Brands:

    Sub-brands essentially create distinct segments within a larger brand, allowing for better organization, reporting, and analysis.

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  • Campaign Sub-Brands Mapping:

    Map your advertising campaigns to sub-brands for better campaign management.

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