Content Normalisation and Cleansing
Clean up your product data — and keep it clean, effortlessly.
Messy, inconsistent product information doesn’t just frustrate customers, it slows down your team and damages credibility. PIMLEAD steps in to fine-tune your data, standardise formats, and rescue content from chaos.
The PIMLEAD Approach to Content Cleansing
- 01
Product Audit & Gap Review
We start with a deep dive into your existing data:
- Spot inconsistencies — missing specs, typos, units mismatches
- Identify duplicates or mismatched SKUs
- Measure data completeness to see what’s missing \n You’ll get a clear report showing where the issues lie — and what steps to take next.
- 02
Content Cleaning & Standardisation
We align your catalog to a unified set of rules that keep it cohesive across the board:
- Standardised product names and units of measure
- Consistent attribute formats (e.g. colour, size, weight)
- Remove duplicates, merge variants, fix typos and errors
- 03
Data Enrichment & Repair
We fill in the blanks and unify your content for peak performance:
- Add or correct specs, descriptions, or imagery
- Normalize formats for SEO-friendly consistency
- Apply business-driven rules like mandatory fields, attribute inheritance, and logic-based validation
- 04Book a discovery call
Ongoing Monitoring & Support
Data clean today can drift tomorrow. To keep your catalog sharp:
- Set up validation rules and governance policies
- Roll out automated checks and regular audit cycles
- Monitor updates and maintain quality as SKUs scale
Get Started with a Free Sample Audit
Frequently Asked Questions
Every PIM project is different — but the path to success is consistent. Here's how we typically work:
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Schedule a quick call to learn how PIMLEAD can turn your regional data into a powerful advantage.
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