Your incomplete product data keeps showing up as someone else’s problem 

Article 2 of 5 in the State of Product Experience 2026 Collection 

A single missing detail in the product record can become a lost sale for ecommerce, a return for operations, and a complaint for customer service. 

By the time those consequences appear, they no longer look like product information problems. Each lands on a different report, with a different leader, in a different meeting. That disconnect is killing efficiency and eroding bottom lines across nearly every step of commercial activity. 

The first article in this collection made the case, supported by data from recent consumer research, that getting found is no longer the hard part. Getting chosen by shoppers depends on whether can find enough information to understand the product and make a confident decision. This article follows the cascade problems that occur when that information falls short, and why the original problem becomes harder to recognize as it moves through the business. 

Shoppers leave, and the loss registers as a conversion rate

When the information is not there, shoppers go somewhere it is. In The State of Product Experience 2026, 83% of online shoppers said they are likely to visit another site or app when a retailer does not provide enough information about the products it sells. 

Site analytics can show that someone left, but they rarely explain why. A visitor may have been browsing or comparing options. They may also have reached the product page ready to evaluate the item, only to find that it contained an error, inconsistency, or did not answer the questions they needed to make a confident decision. 

The organization sees the exit, but not necessarily its cause. The response is often more traffic, better targeting, or a sharper offer because those are the tools available to the teams that own conversion and analytics. But if the root cause is incomplete or incorrect information, much of that effort is fruitless.

What began as missing product information is now being managed as a conversion problem, and the root cause may never get solved.

Returns arrive, with a receipt attached

The second cost is harder to ignore and just as easy to misattribute. 

In the last six months, 26% of respondents said they returned a product because it did not meet the expectations set by the information available to them while shopping. That share rose 5 points year over year, from 21% in 2025.  

A return not only negates hard-won revenue; it creates work across shipping, restocking, finance, and customer service. By the time those costs reach operations and margin, few teams are looking back at the product page that shaped the shopper’s expectations and set the stage for the return in the first place. 

Closing that gap between expectation and reality via product information has real-world impact. When Virtual Supply increased its product data field completion rate to 90%, for instance, it saw a 60% reduction in product return rates. 

Progress is part of why problems stay invisible

Here is the part that makes the cost genuinely difficult to recognize: the most product experiences are trending positively. 

Across the four years the research has been conducted, negative product experiences have become less common. Shoppers report fewer inconsistent product depictions across channels, fewer purchases abandoned because information was inadequate, and fewer disappointments after buying. The rate of abandoned purchases due to insufficient information fell 16 points over the last two years.  

That is real progress, and it creates a familiar organizational conclusion: this was a problem, we invested, and it is better now. Meanwhile, the returns figure rose five points in a single year, and 83% of online shoppers still say they are likely to leave when they cannot find enough product information.  

Progress can make the problem look solved before the work is finished. 

Ecommerce still sees the quick bounce. Operations still sees the return. Customer service still sees the complaint. Unless those outcomes are connected, each team sees its own problem instead of the missing product information behind them.

Where can you start? Where the business already feels the problem

There’s no need to begin with a full catalog audit. Start with products already showing signs of trouble: high-traffic pages that lose shoppers, strong sellers generating returns, or products creating repeated customer questions. 

Then bring together the teams seeing different parts of the problem. Ecommerce can identify where shoppers leave. Operations and customer service can show where returns and complaints concentrate. Product data teams can check whether those products have missing, inconsistent, or unclear information. 

The goal is not another completeness score. It is a short list of products where better information could address a business problem the company already knows it has.

Three questions that tell you whether this is your problem 

Use these to test whether a business result you’re already tracking may connect back to product information: 

• Do our priority product pages answer the questions shoppers need to make a decision? 
• Can we identify which returns began with an expectation the product page did not meet? 
• When product information gaps affect conversion, returns, or service, who owns connecting the problem to the outcome and fixing it? 

If those questions do not have clear answers, that is part of the problem. 

Missing product information rarely stays a product information problem. Making the cost visible starts with tracing those outcomes back to the information that helped shape them. 

Previously in this collection: What the State of Product Experience 2026 Means for Your Executive Team. 

Next in the collection: Shopping choice drivers are weirdly similar around the world (until they’re not), on how product experiences align and differ across major markets around the world.