Navigating and Analyzing Ad Campaigns
Overview
This guide provides a comprehensive walkthrough of how to analyze ads campaigns using the Sellegr8 Ads Performance Dashboard.
Accessing the Ads Performance Dashboard
- Log into your Sellegr8 account.
- Navigate to Ads > Ads Performance.
- Use the tabs at the top to explore Campaigns, Ad Groups, Ad Items, Placements, Keywords, Manual Search Terms and Auto Search Terms.
Using Filters
Use filters at the top of the dashboard to narrow down data:
Date Range
Possible Values:
- Today
- Yesterday
- Last 7 Days
- Last 14 Days
- Last 30 Days
- Custom Range (specific start and end dates)
Use Case:
Select a time frame to analyze recent or historical performance. Shorter ranges (e.g., Today, Yesterday) are useful for short-time monitoring, while longer ranges (e.g., Last 30 Days) are better for evaluating trends and making strategic changes.
Product Tags
Possible Values:
User-defined tags (e.g., “Summer Collection”, “Clearance”, “Bestsellers”)
Use Case:
Filter campaigns by product groups that share common attributes. Useful for isolating performance by category or seasonal promotions and applying targeted optimizations.
Advertiser Accounts
Possible Values:
List of connected advertising accounts (e.g., "Brand 1", "Brand 2", etc.)
Use Case:
If managing multiple accounts, this filter helps isolate data for a specific marketplace or brand to streamline analysis and action-taking.
Campaign Status
Possible Values:
- Active
- Paused
- Archived
- Ended
Use Case:
Focus on currently active campaigns for ongoing optimization or analyze paused/ended ones to learn from past performance or prepare reactivation strategies.
Campaign
Possible Values:
List of all campaign names
Use Case:
Narrow down your analysis to a specific campaign when troubleshooting, testing, or implementing detailed optimizations.
Campaign Type
Possible Values:
- Sponsored Products
- Sponsored Brands
- Sponsored Videos
Use Case:
Different campaign types serve different purposes. Use this filter to analyze performance by ad type and identify which is most cost-effective or aligned with your goals.
Targeting Type
Possible Values:
- Manual
- Automatic
Use Case:
Use this to compare performance between user-defined targeting (Manual) and system-driven targeting (Automatic). Helpful for deciding where to invest more budget or extract new keywords.
Ad Group Status
Possible Values:
- Enabled
- Paused
- Archived
Use Case:
Filter by the operational status of ad groups to focus on those actively serving ads or evaluate paused ones for potential improvements or reactivation.
Ad Item Status
Possible Values:
- Active
- Inactive
- Not Eligible
- Deleted
Use Case:
Check if advertised items are currently active or have issues (e.g., not eligible). Useful when ads aren’t delivering impressions or spend.
Match Type
Possible Values:
- Broad
- Phrase
- Exact
Use Case:
Evaluate how different match types contribute to performance. Broad match may offer volume but lower precision; exact match is useful for controlling spend on high-performing terms.
Keyword Status
Possible Values:
- Enabled
- Paused
- Archived
Use Case:
Quickly filter and manage active vs. paused keywords. This is essential for bid updates, performance review, or keyword pruning tasks.
Keyword State
Possible Values:
- New
- Inactive
- Under Review
Use Case:
Segment keywords based on lifecycle or system status. Use this to prioritize optimizations.
Summary
Understanding how to access and filter campaign data is the foundation of effective ad optimization. Sellegr8 provides a robust dashboard where advertisers can easily segment performance using campaign filters, apply metric thresholds, and utilize preset filters to surface the most relevant data. This enables faster, data-driven decisions and highlights the most impactful opportunities and inefficiencies in your campaigns. Before making changes to bids or budgets, always begin with a thorough analysis of your performance metrics to ensure your optimizations are targeted and informed.
FAQ: Navigating and Analyzing Campaigns
What’s the difference between campaign filters and metric filters?
Campaign filters segment data based on structural elements (e.g., campaign type, targeting, status), while metric filters isolate data based on performance outcomes (e.g., impressions, CTR, ACOS).
Can I apply multiple filters at once?
Yes. You can combine multiple campaign and metric filters to drill down into very specific segments of your campaign data for focused analysis.
When should I use a custom date range?
Use a custom range when analyzing performance over a specific campaign duration, promotional event, or when you want to align data with your internal reporting periods.
What’s the advantage of using preset filters over custom metric filters?
Preset filters are predefined to quickly surface common performance scenarios (like high ACOS or no sales). They're ideal for fast reviews or standardized workflows. Custom filters offer more control for deeper analysis.
How do I know which match type is performing best?
Use the Match Type filter in combination with performance metrics (e.g., ROAS, CR) to evaluate which targeting approach—broad, phrase, or exact—is delivering the best results.
Is it better to filter by keyword status or keyword state?
Use Keyword Status to manage operational control (e.g., enabled vs. paused), and Keyword State to assess lifecycle or performance context (e.g., new, low performing).