Catalog Intelligence

Unlock trapped revenue in search, filters, collections, and merchandising.

Are customers struggling to find what they’re looking for on your site? When product discovery is weak, revenue hides in plain sight. Shoppers bounce. They apply filters that return zero results. They search for products that technically exist, but never surface. The question is: where is your discovery experience leaking revenue, and which improvements will unlock lift without a full redesign?

Search, filters, collections, bundling, cross-sells: these systems all rely on clean product data and thoughtful structure. When product attributes are inconsistent, tags are messy, or merchandising logic isn’t intentional, discovery quietly degrades. Command C’s Catalog Intelligence Sprint is a short, fixed-scope engagement designed to:

• Increase Conversion: Help customers find what they want faster and reduce friction across search and navigation.
• Lift AOV: Improve cross-selling, and collection logic to increase average order value.
• Clarify Data Structure: Restructure product data so discovery works both onsite and across AI/search engines.
• Reduce Dead Ends: Eliminate zero-result searches, broken filter combinations, and confusing collection paths.
• Accelerate Improvements: Move from audit to live fixes quickly, without a rebuild.
• Lay a Scalable Foundation: Create a structured merchandising framework that supports future growth.

Two Facets of Our Process

Front-End & Merchandising Analysis

• Onsite Search Audit: What customers search for, zero-result queries, synonym gaps, ranking logic, predictive search quality.
• Filter Logic Review: Attribute completeness, variant logic, filter combinations, mobile filter usability.
• Collection Strategy: How products are grouped, seasonal logic, top-sellers vs. curated collections.
• Heatmapping & Behavior: Using tools like Clarity to identify where users focus (and where they stall) on PDPs and PLPs.
• Cross-Sell & Bundling: Related product logic, kits, upsell modules, attach-rate analysis.

Product Data & Systems Analysis

• Product Data Integrity: Attribute normalization, tag cleanup, variant consistency, missing metadata.
• Search & App Configuration: Platform search tuning (Shopify/BigCommerce), third-party app alignment.
• AI & Structured Data Readiness: Schema markup, machine-readable data hygiene, future-facing discoverability.
• Reporting & Tracking: Search analytics, filter usage data, add-to-cart patterns by collection.
• Operational Alignment: ERP/PIM sync considerations that impact merchandising accuracy.

Outcome: A Clear Discovery Roadmap

This focused sprint delivers a fully articulated plan, and tangible improvements:

• Prioritized Backlog: Highest-impact discovery fixes ranked by revenue lift and effort.
• Impact Estimates: High/medium/low expected influence on conversion and AOV.
• Quick Wins Implemented: Up to 5 hours of development for low-lift, high-value changes.
• Search & Filter Enhancements: Immediate improvements where friction is obvious.
• Data Cleanup Plan: Clear structure for ongoing catalog governance.

Typical Timeline & Scope

• 2–3 weeks
• Fixed-scope sprint (audit + roadmap + up to 5 hrs dev)
• Optional: ongoing merchandising and optimization engagement

Who Benefits Most

• 8–9 figure brands with large or growing catalogs
• Stores with inconsistent tagging or legacy product structures
• Brands seeing high search usage but lower-than-expected conversion
• Teams preparing for AI-driven commerce shifts
• Merchants planning bundling, kits, or cross-sell expansion

Common Symptoms

You might need this sprint if:

• Internal search drives significant traffic but underperforms in conversion
• Customers frequently use filters that return zero results
• Similar products are structured inconsistently
• Collections feel arbitrary or hard to navigate
• Attach rates for related products are low
• Merchandising decisions rely on spreadsheets and manual tagging
• Product data feels “legacy messy” after years of growth

What This Sprint Is / Is Not

This is: A focused restructuring of your catalog, search, and filter logic to unlock measurable lift without redesigning your entire site.

This is not: A replatform, full theme rebuild, or full content rewrite project.

Simple Math, Big Impact

Discovery impacts everything. If your store does $1,000,000/month and your site-wide conversion rate is 2%, improving discovery enough to lift conversion by just 0.2 percentage points (2.0% → 2.2%) increases monthly revenue by roughly 10%. That’s $100,000/month in potential upside—without increasing traffic.

Want to test your own scenario? Plug this into your AI tool: “If our store does $[monthly_revenue] per month and our conversion rate is [current_rate]%, how much additional monthly and annual revenue would we generate if conversion increased by 0.2 percentage points?” Small improvements compound fast.

Frequently Asked Questions

Will this require new search software?

Not always. We evaluate whether tuning your current setup is sufficient before recommending additional tools.

Do we need a PIM?

Not necessarily. We’ll identify when a PIM would materially improve governance versus when cleanup and structure are enough.

How fast can we see impact?

Quick wins can move within weeks. Structural improvements compound over time.

Does this include bundling strategy?

We’ll identify bundling opportunities where they intersect with your catalog structure and flag them as part of the prioritized backlog. If bundling is a significant lever, we’ll recommend our Bundle Integrity Sprint as the next step to design and implement it properly.

Will this disrupt our live store?

No. Improvements are scoped and staged to avoid disruption.