Understanding Data Quality
The Data Quality section helps you measure how complete, accurate, and ready your product data is for your sales channels. WISEPIM calculates a comprehensive quality score for your entire catalog based on four key domains: completeness, channel readiness, SEO and discoverability, and conversion potential. A higher data quality score directly correlates with better search rankings, higher conversion rates, and fewer product returns.You need to have products imported into your project before data quality metrics become available. If you see an empty state, import your products first.
The Quality Score
At the top of the Data Quality page, the hero metric displays your overall quality score on a 0-100 scale. This score is a weighted average of four domain scores, and it updates automatically as you improve your product data. Alongside the overall score, you can see:- Total products in your catalog
- Products needing attention — the number of products with high-priority issues
- Issue breakdown — counts of high, medium, and low severity issues
- Content coverage — average percentage of key fields filled across your catalog
- Score trend — whether your quality has improved or declined compared to the previous period
Domain Score Breakdown
Your overall quality score is composed of four domains, each evaluating a different aspect of your product data:Completeness
Measures how thoroughly your core product fields are filled in — titles, descriptions, images, pricing, categories, and brand information.
Channel Readiness
Evaluates whether your products meet the data requirements for each of your connected sales channels (Shopify, Magento, WooCommerce, etc.).
SEO & Discoverability
Checks meta titles, meta descriptions, and keyword optimization to ensure your products are findable in search engines.
Conversion Potential
Assesses whether your product data includes the elements proven to drive purchases — rich descriptions, multiple images, and compelling content.
Visualizations and Charts
The Data Quality page provides a rich set of visualizations to help you understand your catalog health:Grade Distribution
A chart showing how your products are distributed across quality grades (A+ through F). This helps you understand how many products are in excellent shape versus how many need work.Domain Trend Comparison
Track how each of the four domain scores has changed over time. You can see whether completeness is improving while SEO stays flat, for example, and prioritize accordingly.Historical Score Chart
View your overall quality score trend over your selected time range (7 days, 30 days, 90 days, or 12 months). Use this to verify that your data improvement efforts are making a measurable impact.Content Coverage Funnel
See the percentage of products that have each key field filled in — descriptions, short descriptions, meta titles, meta descriptions, categories, images, brand, and price. This funnel view highlights where the biggest gaps are.Field Coverage and Gaps
The Field Coverage Matrix gives you a detailed view of which fields are populated across your product families. This is especially useful when you have multiple product types with different attribute requirements. You can see at a glance:- Which product families have the lowest coverage for specific fields
- Where your biggest data gaps are
- Which fields to prioritize filling in for the highest score impact
SEO and Conversion Deep Dive
A dedicated breakdown shows your SEO and conversion-specific metrics, including character limit compliance for meta titles and descriptions, and which conversion-driving elements (images, rich descriptions) are present across your catalog.Channel Readiness Matrix
If you sell on multiple platforms, this matrix shows which of your enabled sales channels your products are ready for. It highlights missing fields or data quality issues that would prevent successful listing on each platform.Identifying and Fixing Issues
Quick Wins
The Quick Wins section surfaces the highest-impact, lowest-effort improvements you can make. Each suggestion includes:- Impact level (high, medium, low) and effort estimate
- Number of products affected
- Potential score increase if you complete the fix
- Step-by-step next actions to resolve the issue
Products Needing Attention
A sortable table lists individual products with data quality issues, grouped by severity. You can navigate directly to any product to fix its issues.Improvement Roadmap
Based on your current score, the Improvement Roadmap lays out a phased plan to reach your target score. It considers your content coverage gaps, issue counts, and domain scores to suggest a prioritized sequence of improvements.Tracking Progress
Progress Milestones
Visual milestones mark your journey from your starting score toward your target. As you cross each threshold, you unlock the next milestone.Improvement Activity Calendar
A calendar heatmap shows your daily data improvement activity. Days with more changes appear in darker shades, helping you maintain momentum.Issue Resolution Velocity
Track how quickly your team is resolving data quality issues over time. This metric helps you forecast when you will reach your target quality level.Achievements
Earn achievements as you hit data quality milestones — a motivating way to track your team’s progress.Family Score Comparison
If you organize products into families (e.g., “Electronics,” “Clothing”), the Family Score Comparison lets you compare average quality and completion scores across families. This helps you identify which product categories need the most attention.Benchmarking
See how your catalog quality compares to others in your industry category. The benchmarking section shows your percentile ranking and how far above or below the category average you are.Navigating Data Quality
The Data Quality section has three sub-pages accessible from the sidebar:Data is loaded once when you enter the Data Quality section and shared across all three sub-pages, so navigating between tabs is instant with no extra loading time.
Customizing Quality Scoring
You can adjust how quality scores are calculated in your project settings:- Domain weights — Control how much each domain (completeness, channel readiness, SEO, conversion) contributes to the overall score.
- Grade thresholds — Define the score ranges for each letter grade.
- Core field weights — Specify which fields are most important for completeness scoring.
- Enabled platforms — Choose which sales channels are considered for channel readiness scoring.
- SEO character limits — Set your preferred character ranges for meta titles and descriptions.