The Real ROI of Product Information Management (PIM)

The Real ROI of Product Information Management (PIM)

For many organizations, Product Information Management (PIM) is initially viewed as a technology expense. However, businesses that successfully implement PIM often discover that its value extends far beyond product data management.

A PIM helps organizations centralize, enrich, and distribute product information across websites, marketplaces, distributors, retailers, and other sales channels. More importantly, it can create measurable business benefits that directly impact revenue, operational efficiency, and customer experience.

The real question is not whether a company can afford to invest in a PIM. The real question is whether it can afford the inefficiencies that come from operating without one.

Understanding the ROI of PIM

The return on investment (ROI) of a PIM comes from several areas:

  • Faster product launches
  • Improved product data quality
  • Reduced operational costs
  • Increased conversion rates
  • Lower return rates
  • Faster expansion into new channels and markets

Across published case studies, the most consistently measured outcome is time-to-market improvement, with organizations reporting anywhere from 10% to 99% faster product publishing, with a median around ~50%.

Other recurring quantified outcomes include:

  • Scale improvements: expansion into new markets and catalog growth without proportional headcount increases
  • Data quality improvements: up to 85–99% accuracy in some implementations
  • Productivity gains: 20%–70% reduction in manual effort
  • Revenue impact: typically 7%–33% increase when measurable
  • Cost reduction: 55%–80% reduction in enrichment-related processes in some cases

Faster Time-to-Market Creates Revenue Opportunities

Many organizations still rely on spreadsheets, supplier files, emails, and ERP systems to manage product information. As product catalogs expand, launching new products often requires collecting information from multiple departments and manually updating several systems.

This process can slow down product launches and delay revenue generation.

A PIM centralizes product information and streamlines workflows, making it easier for teams to onboard, enrich, approve, and publish products.

According to Akeneo’s ROI analysis, organizations can generate significant additional revenue by bringing products to market faster and expanding product assortments more efficiently. In one example, a retailer that expanded its catalog from 50,000 products to 60,000 products generated approximately $125,000 in additional annual revenue due to improved product management processes (Akeneo, ROI Part 2).

Across case studies, companies frequently report:

  • Up to 50% faster product launch cycles
  • In some cases, near real-time publishing after workflow automation

The faster products reach customers, the faster they can begin generating revenue.

Improved Product Experiences Increase Conversion Rates

Customers expect accurate, complete, and consistent product information wherever they shop.

When product information is incomplete or difficult to find, customers may abandon purchases or choose a competitor instead.

A PIM helps organizations create richer product experiences by managing:

  • Product descriptions
  • Technical specifications
  • Product attributes
  • Images and videos
  • Compatibility information
  • Marketplace-specific content

According to Akeneo’s ROI framework, even a modest 3% improvement in conversion rates can have a substantial impact on revenue (Akeneo, ROI Part 2).

Across case studies:

  • Conversion improvements commonly range from 7% to 33%
  • Gains are tied directly to improved product content quality and completeness

Better product information helps customers make informed decisions and increases the likelihood of conversion.

Reducing Returns Through Better Product Data

Poor product information often creates hidden costs.

Incorrect specifications, missing dimensions, incomplete descriptions, and inconsistent product content can result in customer dissatisfaction and product returns.

By creating a single source of truth and improving product data quality, organizations can reduce these issues before products reach customers.

Akeneo’s ROI analysis uses a conservative estimate of a 10% reduction in product returns as a result of improved product information quality (Akeneo, 2024b).

Across implementations:

  • Return rate reductions range from 10% to 60%
  • Strongest improvements occur in categories with high specification sensitivity (electronics, industrial products, etc.)

Improved product data benefits both customers and internal teams by reducing confusion and increasing confidence in product information.

Lower Operational Costs Through Automation

Many product teams spend a considerable amount of time maintaining spreadsheets, updating catalogs, correcting errors, and answering product-related questions.

These manual processes often create:

  • Duplicate work
  • Data inconsistencies
  • Version control issues
  • Administrative overhead

A PIM reduces these inefficiencies by centralizing information and automating many repetitive tasks.

Teams spend less time searching for information and correcting errors, allowing them to focus on higher-value activities such as product strategy, merchandising, marketing, and customer experience improvements.

According to Akeneo’s ROI research, organizations can realize substantial operational savings through improved productivity and reduced manual effort. In one ROI example, annual savings increased from approximately $140,000 in year one to more than $171,000 by year three (Akeneo, 2024c).

Across case studies:

  • Productivity improvements commonly range from 20% to 70%
  • Some organizations report 10x increases in enrichment throughput

Supporting Business Growth and Expansion

As organizations grow, product data complexity grows alongside them.

New sales channels, marketplaces, product lines, suppliers, and international markets all introduce additional challenges.

Without a structured approach to product information management, growth can quickly become difficult to manage.

A PIM provides the scalability needed to support expansion while maintaining data consistency and governance.

Akeneo’s ROI analysis found that organizations can also generate meaningful revenue through channel expansion. In one example, a retailer generated approximately $150,000 in additional annual revenue by leveraging improved product information to support new sales channels (Akeneo, ROI Part 2).

Across case studies:

  • Organizations often scale from tens of thousands to millions of SKUs
  • Growth happens without proportional headcount increases
  • Catalog expansion becomes operationally manageable instead of chaotic

This ability to scale efficiently is one of the most important long-term benefits of PIM.

The Business Impact of PIM

When organizations evaluate PIM solely as a software investment, they often overlook its broader business impact.

The value comes from a combination of:

  • Increased revenue
  • Reduced operational costs
  • Faster product launches
  • Better customer experiences
  • Lower return rates
  • Improved scalability

According to Akeneo’s white paper, a company generating $20 million in annual revenue could realize nearly $1 million in new revenue while also reducing costs by approximately $275,000 through improvements enabled by PIM (Akeneo, ROI Part 2).

Across aggregated case studies:

  • Revenue lift: 7%–33%
  • Cost reduction: 55%–80% in specific workflows
  • Time-to-market: up to 99% improvement in extreme cases

These benefits demonstrate why many organizations view PIM as a strategic investment rather than simply another technology platform.

Final Thoughts

The ROI of Product Information Management extends far beyond product data organization.

Across real-world implementations, the most consistent pattern is not just revenue growth, but operational transformation: faster publishing, more scalable product operations, and significantly improved data quality that enables better performance across every digital channel.

As commerce becomes increasingly complex and AI-driven discovery channels begin to rely more heavily on structured product data, the importance of centralized, accurate product information continues to increase. Organizations that address these foundations early tend to scale more efficiently and adapt faster to new sales channels and technologies.

Ready to Evaluate Whether PIM Makes Sense?

If you’re trying to understand whether PIM is actually the right move, the first step is usually not evaluating tools but reviewing how product data currently moves through your organization. In many cases, the issues show up in daily operations through delayed product launches, inconsistent information across channels, heavy reliance on spreadsheets, and increasing difficulty managing growing catalogs or new sales channels. StrikeTru helps organizations step back and map these challenges to real product data workflows, looking at how information is created, enriched, approved, and distributed across systems. From there, the focus is on clarifying whether a PIM is needed, what level of maturity the organization is operating at, and what changes would create the most meaningful improvement in speed, consistency, and scalability.

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