Unlock the Power of Multi-Dimensional Analysis: The Game-Changer Amazon Advertisers Have Been Waiting For

Introduction

Imagine trying to solve a Rubik’s cube while only being able to see one side. That’s essentially what Amazon advertisers face every day with native reporting. You get fragments of data—campaign metrics here, keyword performance there—but never the complete picture of how all dimensions interact.

WisePPC’s Multi-Dimensional Analysis changes this fundamentally. By creating a comprehensive data cube that captures every aspect of your advertising performance simultaneously, we transform fragmented insights into cohesive intelligence.

The Problem: Amazon’s Flat Reporting Structure

Amazon’s reporting treats each dimension in isolation:

• Campaign reports show campaign-level metrics
• Keyword reports show keyword performance
• Placement reports aggregate at campaign level only
• Time-based data limited to daily granularity

This separation creates critical blind spots. You can’t answer essential questions like:

• “How do my exact match keywords perform in Top of Search on weekends?”
• “Which campaigns drive the best Product Page performance for my top ASINs?”
• “What’s the hourly conversion pattern for my branded vs non-branded terms?”

The Solution: True Multi-Dimensional Data Structure

WisePPC captures and stores your advertising data across multiple dimensions simultaneously, creating a rich data cube that enables analysis from any angle:

The Dimensions We Track

Campaign Level

• Campaign type (SP, SB, SD)
• Campaign name and strategy
• Budget and bid configurations
• Portfolio associations

Ad Group Level

• Ad group names and IDs
• Default bid amounts
• Targeting type (manual/auto)
• Product collection settings

Ad Level

• Ad format (static, video, custom)
• Creative variations and ASINs
• Headline and copy elements
• Display URLs and landing pages

Target Level

• Keywords (all match types)
• Product targets (category and ASIN)
• Auto-targeting segments
• Negative targets

Placement Level

• Top of Search results
• Product detail pages
• Rest of Search results
• Off-Amazon placements (DSP)

Time Level

• Year and quarter
• Month and week number
• Day of week and date
• Hour of day (24-hour granularity)

The Power of Dimensional Intersection

The true magic happens when these dimensions intersect. Unlike Amazon’s siloed reports, WisePPC lets you analyze any metric across any combination of dimensions:

Example Analysis Paths:

1. Campaign → Ad Group → Keyword → Placement → Hour
2. Product (ASIN) → Target Type → Day of Week → Placement
3. Target → Day → Hour (granular time-based target performance)
4. Ad Product Parent → Child → Campaign Type → Target (hierarchical product analysis)
5. Target Value → Match Type → Ad Product Parent → Target (comprehensive targeting insights)

Real-World Applications

Strategic Campaign Structure Optimization

A home goods retailer used multi-dimensional analysis to discover:

• Kitchen keywords performed 250% better in Top of Search
• Bedroom keywords excelled on Product Pages
• Weekend shoppers preferred video ads for both categories

By restructuring campaigns based on these dimensional insights, they achieved:

• 40% improvement in overall ROAS
• 35% reduction in wasted spend
• 50% increase in profitable keyword count

Discovering Hidden Performance Patterns

An electronics brand analyzed the intersection of:

• Product price points
• Keyword intent levels
• Time of day
• Placement positions

They discovered premium products ($500+) converted best through exact match keywords in Top of Search positions during lunch hours (12-2 PM). Budget items performed better with broad match on product pages during evening hours.

This insight led to a sophisticated dayparting and bid adjustment strategy that improved efficiency by 55%.

Competitive Intelligence Through Dimensional Analysis

By analyzing product targeting performance across multiple dimensions, a beauty brand uncovered:

• Competitor brand targeting worked best on their mid-tier products
• Complementary product targeting excelled for premium items
• Category targeting delivered volume for entry-level products

Each insight came from viewing the same data through different dimensional lenses.

Advanced Capabilities

Custom Dimension Groups

Create your own analytical dimensions:

• Group campaigns by strategy (conquest, defense, branded)
• Classify keywords by intent (research, comparison, purchase)
• Segment products by margin, inventory, or seasonality

Cross-Dimensional Metrics

Calculate sophisticated metrics that span dimensions:

• Placement efficiency index by keyword match type
• Time-weighted conversion rates by product category
• Ad creative performance velocity by targeting method

Predictive Dimensional Patterns

Historical multi-dimensional data enables:

• Forecasting performance by dimension combination
• Identifying emerging patterns before they fully develop
• Predicting optimal dimension configurations for new campaigns

Implementation Best Practices

1. Start with High-Impact Dimensions

Focus initially on dimensions with the biggest performance variations:

• Placement × Keyword combinations
• Time × Product interactions
• Ad Creative × Target alignment

2. Build Incrementally

Don’t try to analyze all dimensions at once:

• Week 1: Master two-dimensional analysis
• Week 2: Add time-based dimensions
• Week 3: Incorporate creative elements
• Week 4: Full multi-dimensional optimization

3. Create Dimensional Hierarchies

Organize your analysis approach:

• Primary: Dimensions that drive major strategic decisions
• Secondary: Dimensions for tactical optimization
• Tertiary: Dimensions for fine-tuning and testing

The Competitive Advantage

Advertisers using WisePPC’s multi-dimensional analysis report:

• 45% average improvement in ROAS within 90 days
• 60% reduction in time spent on manual analysis
• 3x more optimization opportunities discovered
• 80% better performance prediction accuracy

Getting Started

1. Connect Your Account: Begin collecting multi-dimensional data immediately
2. Define Your Dimensions: Set up custom groupings relevant to your business
3. Build Analysis Templates: Create saved views for regular analysis
4. Apply Insights: Use bulk operations to implement optimization
5. Monitor and Iterate: Track improvements and refine dimensional strategies

Conclusion

Multi-dimensional analysis isn’t just about having more data—it’s about seeing the connections Amazon’s flat reporting hides. Every dimension adds a new layer of insight, and every intersection reveals optimization opportunities your competitors miss.

Stop looking at your advertising through Amazon’s narrow lens. Start seeing the full picture with WisePPC’s Multi-Dimensional Analysis.

Take Your Analysis to the Next Dimension

Ready to transform your Amazon Advertising with multi-dimensional intelligence? Schedule a demo to see your data in ways Amazon never intended.

Free Dimensional Analysis Guide

Download our guide: “10 Multi-Dimensional Analyses Every Amazon Advertiser Should Run” Get it here