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In short - lower conversion, abandoned carts, and inefficient ad spend. Imagine how many actions are needed to change just one parameter!
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Even a small edit triggers a long process of finding the right repositories, changing the data in each one, reconciling it, and double-checking the information.
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The situation becomes more complicated when you have to manage complex products and descriptions in different languages.
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Employees reach unprecedented heights in juggling Excel.
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But the information management process does not become any less labor-intensive or more transparent.
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The load on other systems, which are assigned product information management functions, increases and slows down their core work.
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Errors appear in product page displays: empty fields, incorrect descriptions and photos, outdated prices. Seeing this, customers simply leave.
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They do not want to take extra steps and search elsewhere on Google.
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Why would they buy headphones from you without specifications if your competitor's site provides more complete information and the price is not much different?
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Customer satisfaction drops: they cannot get the information they need, and orders do not match expectations. Remarketing campaigns show irrelevant or duplicate products.
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A real case: a user searched for a plaid shirt on a marketplace.
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After that, he was "followed" for a week by a banner with six identical shirts that differed only by size. Because of the "surprises" with price and the actual contents of the SKU, the number of abandoned carts and returned orders increases, while repeat orders decline.
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According to AT Kearney researchers, companies lose up to 3.5% of revenue because of poor product information management. And I suspect that figure is understated.
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The business is not just losing revenue here and now - its growth slows down.
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It is harder for businesses to enter new markets and adopt new platforms: it requires more resources than it should.