Search, filters, and faceted navigation play an important role in the digital customer journey, shaping how customers locate and evaluate products and services. When these discovery tools do not surface relevant results, customers abandon their searches and disengage from the shopping journey.
Industry research estimates that over $300 billion in U.S. retail revenue is forfeited annually due to search abandonment. Much of this friction stems from fragmented product data, which prevents search engines and filters from returning accurate matches.
This article examines how Product Information Management (PIM) enhances search performance and filtering precision by organizing product data to facilitate efficient exploration and informed purchase decisions.
In ecommerce, how easily customers can find the products and services they need directly impacts conversion and revenue growth.
Research from the Baymard Institute reports that findability influences whether users can identify, assess, and buy items. A separate Baymard study found that 31% of product-finding attempts fall short when users rely on a website’s search functionality, exposing direct revenue risk.
However, when discovery tools perform as intended, the upside is substantial. Visitors who use on-site search are 2-3 times more likely to convert, according to Forrester Research, highlighting the value of effective catalogue navigation.
Product and service discovery is, therefore, tied to business performance. When filters and category browsing guide customers to their desired offerings, organizations benefit from higher conversion rates, accelerated buying decisions, and increased average order value (AOV). Ultimately, sustaining these advantages depends on how well companies manage product information across their digital storefronts.
Fragmentation occurs when product data varies across systems, suppliers, or catalogue frameworks. These breakdowns stem from data management issues such as:
These conditions distort how product data is structured, stored, and distributed across systems, creating inconsistencies that affect downstream digital experiences.
Consequently, organizations encounter operational and customer-experience impacts such as:
Over time, these data challenges compound as product assortments expand, increasing operational demands and undermining the overall customer experience.
In turn, these constraints can be addressed with product information management software, which centralizes, standardizes, and governs product data to create a unified data foundation across systems and channels.
With consistent product data in place, organizations can begin to define the attributes, taxonomy, and enrichment processes that power product information across digital channels.
Building on this foundation, product data enrichment improves the depth and quality of product records, while controlled distribution ensures that trusted information reaches commerce platforms, search systems, and other digital channels. Together, these practices strengthen data oversight and enable the expansion of product and service portfolios without increasing operational complexity.
Within a product information management system, discovery-ready product data is supported through functions such as:
As a result, when product data is managed through PIM, commerce platforms can categorize items more effectively, allowing product assortments to expand without introducing discrepancies in classification and product information.
Product information management software enables organizations to manage product information across their catalogues, supporting the search, refinement, and navigation capabilities required for effective product and service discovery. This includes:

Additionally, enriched product data support search systems in interpreting user intent beyond basic keyword matching, improving results for both targeted searches and exploratory browsing. Consistent data values ensure filters reflect product distinctions rather than conflicting entries.
Moreover, faceted navigation provides structured pathways through product catalogues, guiding users across attributes such as size, compatibility, material, or use case to simplify product sets into manageable comparisons.
Together, these capabilities enhance how offerings are surfaced and evaluated across product and service portfolios.
Organizations using product information management software such as Akeneo and inriver to improve ecommerce search, filtering, and faceted navigation demonstrate outcomes such as:
Collectively, these outcomes illustrate how Product Information Management (PIM) influences how offerings are surfaced, refined, and explored in digital experiences.
Tidal brings consulting, engineering, managed services, and agentic solutions together under one team to solve complex digital transformation challenges across the enterprise. Our Unified Commerce solutions help organization connect customer experiences with the platforms, data, and processes behind them. If you would like to discuss how stronger product information management can support your organization, connect with us.
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