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Brand Analytics Overview

Brand Analytics gives brands visibility into how their categories, products, and SKUs are performing across the retail partners where they’re sold - powered by real POS data.

Updated over a week ago

Prerequisites

Before getting started, ensure you have:

Required Permissions

Brand Analytics are accessible for users with the following permissions:

  • Analyst

  • Marketing

  • Marketing + Analyst

  • Operator

  • Owner

Other Requirements

  • Brand Analytics Starter subscription or above


Brand Analytics Tabs

Brand Analytics includes multiple tabs for different performance views:

Orders

Transactional insights including:

  • Revenue

  • Orders

  • SKU-level performance


Customers

Understand how you are:

  • Acquiring new customers

  • Retaining customers over time

  • Growing brand loyalty across retailers


Retail Partners

Breakdown of performance by:

  • Retail partner

  • Individual store location


Demographics

Analyze your customer base by:

  • Age

  • Gender

  • Region

Data reflects aggregated retail partner activity.


Market Spotlight

⚠️ Market Spotlight is currently in maintenance and scheduled for deprecation in 2026. A formal date will be announced.

Refer to updated analytics tabs for current reporting.


How to Share a Brand Analytics Report

  1. Navigate to Analytics > Brand Analytics

  2. Set your desired date range using the Report filter

  3. Click Share (top right)

  4. Select which tabs to include (all selected by default)

  5. Click Generate Link

  6. Copy and share the link


How to Download Analytics CSVs

  1. Navigate to Analytics > Brand Analytics

  2. Select the desired tab (e.g., Orders, Demographics)

  3. Scroll to the table you want to download

  4. Click the (...) menu in the top right

  5. Select Download CSV

📌 The downloaded CSV reflects your current filter selections.


How to Compare Time Periods

To compare performance trends:

  1. Select your current time period in the Report Period filter

  2. Select a comparison period in the Compare filter

  3. Click Apply

  4. Review updated charts and tables

Visual Indicators:

  • Past period data appears shaded in charts

  • “(Past)” appears in table labels

  • A % Change column shows performance differences


Filters

Filters allow you to segment your analytics view.

Available Filters

  • Saved Filters – Apply previously saved filter combinations

  • Report Period – Select date range

  • Compare – Compare performance across different time periods to identify trends and changes. Select a comparison period to view metrics side-by-side with your primary reporting period (e.g. this month vs last month)

  • Companies & Locations – Filter by retail partners or stores

  • Categories – Analyze performance by product category

  • Products – Filter by individual products or product groups. Useful for analyzing specific SKU performance or comparing related products across retailers and locations.

💡 Tip: Select multiple filters first, then click Apply to save time.


How to Save a Filter

Save frequently used filter combinations to quickly access them later. Saved filters carry across all tabs where applicable.

  1. Navigate to Analytics > Brand Analytics

  2. Select a tab

  3. Apply desired filters

  4. Click Save Filters (right of filter row)

  5. Enter a filter name

  6. Click Save

To reuse:

  • Click Saved Filters

  • Select your saved configuration

Saved filters apply across relevant tabs.


Viewing Analytics by Alias / Sub-Brand

If your brand has multiple aliases:

  1. Navigate to Brand Analytics

  2. Use the dropdown next to the Share button

  3. Select the alias/sub-brand you want to analyze


Using Aliases to Clean Up Data

Product, Category, and Brand aliases allow you to take dirty data and make it clean: you can map different naming conventions to a single "alias", resulting in more accurate and cleaner data.


FAQs

Where did the Category Insights tab go?

It was deprecated as of February 2026.


Why do I see a category in Retail Partners that I don’t sell?

Brand Analytics pulls data from POS systems across mutual AIQ retailers.

If a retailer has a category configured in their POS, it may appear in analytics—even if you don’t sell products in that category.

Use Category Aliases to clean up reporting.


Why is the category filter not showing options?

You must configure Category Aliases first.

Navigate to your alias settings and map categories using AIQ’s default categories to enable filtering.


Need Help?

If you need help interpreting Brand Analytics data or configuring aliases, reach out to AIQ Support via the chat widget in your AIQ Dashboard.

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