The search for brands and products

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This involves the structured evaluation of contributions and reviews from the digital space. Sources of this information include discussions in forums, reports in blogs, messages on Twitter or product reviews on Amazon. There are two ways for brands to find these contributions: searching for product and brand names and searching for topics.


The most important thing, of course, is to gambling data singapore know what customers think about your own products, the company or the management. This approach often forms the starting point for insight analysis. The relevant search terms are quickly defined and setting them up in a monitoring tool is also quick, so that the first results are soon aggregated. The problem, however, is that the posts found are unstructured and do not necessarily fit together thematically and probably contain incorrect posts. In order to structure the posts, so-called Boolean operators are used to search for the products in combination with other terms. An example: when searching for the brand "Pampers", the company wants to find posts specifically about the POS and purchasing process: For this purpose, searches such as "Pampers NEAR/3 purchased" or "Pampers NEAR/5 Rossmann" are used.

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By combining the desired areas of application, a corresponding database can be generated, which is then coded and evaluated as part of social media intelligence. In order to subsequently enrich the database with further relevant contributions, topic monitoring is added.