Intro
Product Insights is the analytical center of the ROIH platform. It is a tool to analyze your product performance and optimize your current and future product strategies. It is a powerful yet sensitive instrument, so we offer suggestions for best practices to get you up and running as quickly as possible.
Tool Purpose
The primary function of Product Insights is to model your segments based on your current product data in order to capture and act on the strategic opportunities in your product performance. This is in contrast to Segments Dashboard, which enables you to evaluate your historical performance (e.g. how your PPM strategies did in the past).
This guide is intended for onboarding purposes.
Read the full documentation here: Product Insights Overview.
Available Data
Multiple data sources are harnessed by Product Insights tool to provide a synthesis of data from different sources: Meta, Google, custom sources, etc.
Track familiar metrics such as Revenue, ROAS, Meta Spend, Google Cost, CTR, Impression, but also examine calculated metrics like POAS or Gross profit.
Consider analyzing products based on brand, category, product age, etc.
Integrate custom attributes to further categorize your products towards your goals
UI Usage
The Product Insights menu has several important tools available for use.
Filtration panel: On the left side are various options to configure your analysis parameters with robust settings for both broad and narrow scopes depending on your data discovery goals.
Chart views: At the top are tabs for different charts visualizing your product data in various ways.
Chart graph and product table: In the middle is the current chart graph with segment and metric selectors, and underneath is the product table displaying product information with view customization options.
Tool Components
Results from Product Insights comes from understanding how to manipulate your product data. There are two central components of working in Product Insights:
Filters: Crucial for specifying the criteria and scope of your data investigation.
Charts: Useful for visualizing product performance data.
Filters
Product Filters narrow down products by various metrics and variables such as markets, channels, campaigns, product attributes, and much more.
Markets: You can investigate different markets by choosing from the Market selector.
Segments: You can perform extensive data analysis on any segment by choosing from the Segment selector.
Inventory status: You can differentiate between only your active products that your customers can currently buy or all your products to widen your data discovery scope:
Campaign Filters: Analyze performance based on specific campaigns (Meta Catalog-based, Google Shopping + PMax).
Metric Filters: Filter by channel-specific metrics (Meta Product ROAS, Google Product ROAS, Meta Spend, Meta CTR, Google Cost,...), analytical metrics (such as Revenue, Average Sale Price, Product Detail Views from Google Analytics, Branch, Adobe Analytics).
Product Attribute Filters: Analyze based on product attributes (brand, category, discount rate, product age, stock out score, custom attributes).
For more about using Filters in Product Insights, read more here: Product Insights: Filters.
Charts
Product Charts contribute a valuable perspective towards sifting through your product data, especially in contexts such as variances over time.
Trend in Time: Analyzes the relationship between two metrics over time.
Product Attribute Breakdown: Compares product performance across two metrics.
Product Attribute Trend: Tracks product performance trends over time based on different attributes.
Performance Breakdown: Visualizes the distribution of inventory performance by range of values.
For more about using Charts in Product Insights, read more here: Product Insights: Charts.
Next up, learn more about best practices for opportunity spotting.
Previous page: | Current page: How to Use Product Insights | Next page: |