Product Feed Descriptions: How to Write Them to Convert
After the title, the most underrated element in a feed is the descriptions. Product descriptions do more than fill out the listing: they help the algorithm understand which searches the product is relevant for, and they convince the customer to buy. Written well, they work for you on every channel, quietly.
A product description in the feed has a dual role: it helps the algorithm understand which searches the product is relevant for, and it convinces the customer to buy. Written clearly and in the customer's own words, it improves both visibility and conversion.
What role does the description play in the feed?
The description has a dual role. On one hand, it is for the algorithm: platforms read it to better understand what the product is and which queries it deserves to appear for. On the other hand, it is for the customer: in many placements, the description or part of it appears next to the product and contributes to the buying decision. A good description serves both purposes at once.
Unlike the title, which has to be short and direct, the description has room to go into detail. This is where you can include the information that did not fit in the title: benefits, specifications, materials, dimensions, how to use it. The more complete and relevant the description, the better the chance the product is matched with the right search.
What goes into a good description?
A description that performs covers, in clear language, the information customers look for before they buy:
- What the product is and who it is for. Quickly clarifies the product type and how it is used.
- The relevant features. Material, dimensions, capacity, compatibility - the details that matter for the decision.
- The concrete benefits. Not just what the product has, but what it solves for the customer.
- The terms people use. The real words customers search with, worked in naturally, not forced.
Order matters here too: the first sentences must contain the essential information, because sometimes only the beginning of the description is displayed or read. The rest adds detail, but the main message must be clear from the first lines.
How do you write for the customer and the algorithm at the same time?
The key is natural language. The text has to sound right to a person, but contain the relevant terms customers use in their searches. There is no conflict between the two goals: a description that is clear, informative and written in the customer's words is good for both the algorithm and conversion. Problems only appear when the text is written exclusively for one of them - either a string of keywords that makes no sense to a person, or marketing copy with no information in it for the algorithm.
What should you avoid in descriptions?
- Keyword stuffing. Forced repetition of terms lowers quality and can violate channel policies.
- Excessive promotional text. Mentions like discounts or limited offers don't belong in the feed description.
- Empty or identical descriptions. Vague text, used the same way across many products, helps neither the customer nor the algorithm.
- Contradictory information. Details in the description that don't match the rest of the feed or the product page.
- HTML and problematic characters. Code fragments or symbols that channels don't accept and that cause errors.
Unique descriptions or the manufacturer's?
Many stores use the standard descriptions supplied by the manufacturer, identical to those on dozens of other sites. The problem is twofold: they don't set you apart, and they aren't adapted to the way your customers search. Unique descriptions, written for your product and your audience, generally perform better because they are more relevant and clearer. You don't need to reinvent everything, but it is worth adapting and expanding them, not just copying.
Are you using the manufacturer's standard descriptions?
We review your feed descriptions and show you where you are losing relevance and conversions compared to competitors - free, no obligation.
How do you generate descriptions for a whole catalog?
For a few products, you can write descriptions by hand. For hundreds or thousands, you need an approach that scales. AI enrichment lets you generate unique, complete and consistent descriptions for an entire catalog, based on your existing data and rules defined per category. The resulting texts can then be maintained automatically with every update, so you don't redo the work each time you add new products.
At BigConvert, generating and optimizing descriptions is part of the feed management process: we build relevant descriptions at scale and keep them consistent across all channels, so every product has the best chance of being found and bought.
How do you structure a description that is easy to read?
It matters not only what you write, but also how the description looks. A dense block of text is hard to get through, especially on mobile. A well-structured description starts with the essentials, then groups the information logically - first what the product is, then the features, benefits and technical details - so the customer quickly finds what they are looking for. Even if not every channel displays formatting, a clear structure helps both the reader and the algorithm's understanding.
Consistency across the whole catalog is just as important. When descriptions follow a coherent pattern in every category, the catalog looks professional and becomes easier to maintain. A customer comparing two of your products should find the same types of information, in the same order, on both - and that comes from rules applied uniformly across categories, not from texts written independently, one by one.
How do descriptions contribute to profit?
A good description doesn't just improve relevance, it improves profitability. When the product is matched with more relevant searches, it attracts more qualified clicks, and qualified clicks convert better - so every bit of your budget works harder. A catalog with clear, complete descriptions turns the same traffic into more sales, at no extra cost.
The effect grows when descriptions work together with margin segmentation and profit optimization (POAS). When you know which products bring margin and back them with descriptions that convince, the budget goes to the items that leave real profit, not just revenue. The description thus becomes one of the levers through which a well-managed feed gets more profit out of the same money. In practice, a text written once and maintained at scale keeps delivering results long after it was created, with no recurring cost.