Mining customer reviews and questions for keywords: the language your buyers use on otto.de

Why reviews beat your product data sheet

Your data sheet says 'kettle 1.7 l, 2200 W, stainless steel'. A buyer writes: 'Finally a kettle that is quiet and does not taste of plastic.' The gap between those two sentences is the gap between manufacturer language and search language. Buyers search on otto.de the way they talk – 'wasserkocher leise', 'wasserkocher ohne plastik' – and those exact words sit in reviews, questions and review titles.

The second advantage: reviews name use cases you did not think of. A blender that reviewers mostly use for baby food may not rank yet for 'mixer babynahrung', even though that is why people buy it.

Which sources to go through

• Your own reviews on otto.de: review titles first, they are short and almost always a ready-made search term. Then the four- and five-star texts, which say what convinced the buyer.
• Competitor reviews: the products on page 1 for your main keyword usually have more reviews than you do. Read the critical ones closely: 'too small for a family' points at 'wasserkocher familie' or 'wasserkocher groß'.
• Customer questions: questions asked before buying ('does it fit a 60 cm cabinet?') show which attribute decides the purchase, and which detail is missing from your listing.
• Reviews on other marketplaces: the same product on Amazon or Kaufland often has far more reviews. The buyers' language is the same; only the search engine differs.

Turning a sentence into a search term

Use a simple three-column table: quote, attribute, candidate search term. 'Does not taste of plastic' becomes the attribute glass or steel interior and the term 'wasserkocher ohne plastik'. 'Fits under the wall cabinet' becomes low height and 'wasserkocher flach'. Collect first, judge later. After 30 to 50 reviews you will usually have 10 to 20 candidates.

Then strike everything your product does not actually deliver. A term that brings clicks without purchases does more harm than good.

Test candidates on otto.de before you use them

Not every buyer phrase is something other buyers type. Check each candidate in the otto.de search:

1. Result count: does the search return products of your kind, or does otto.de quietly correct the term? A few hundred fitting results is a good sign; zero, or ten thousand unrelated ones, is not.
2. Search suggestions: if the term shows up in the autocomplete, people really search for it.
3. Page 1: are the products there similar to yours? Then the search intent matches.

Add the terms that pass all three checks to your rank tracking. Within a few days you will see whether your product is already found for them.

Add them and measure

Place the new terms where otto.de reads them: one or two in the title if they genuinely belong to the product, the rest in bullet points, description and, more important than any text, in the matching attributes. 'Quiet' belongs not only in the copy but also in the attribute, if the category offers one.

Note the date of the change and watch the new terms for at least two weeks. A term that moves from 'not found' to page 1 or 2 in that time was a hit. One that does nothing stays in tracking but leaves the title.

A rhythm you can keep up

Reviews keep arriving. Plan half an hour per product group once a quarter: read the new reviews and questions, note candidates, test them, add two or three to tracking. Before the season, do an extra round on the products that bring the most revenue. Your keyword set then grows from real buyer language instead of guesses.

Frequently asked questions