Companies and organizations that run an online store always need texts, for example for product descriptions, catalog texts, newsletter or social media posts. This is usually accompanied by very high costs as well as an incredibly high time investment. Often it comes to bottlenecks because there are not enough capacities available or the budget is not sufficient. For many companies, text robots are the solution. You create product descriptions and translate these into different languages. With cloud-based software they are able to quickly create countless unique Writing texts.

Robot or human

The algorithms on the basis of which the text robots work, need data sets with the properties of the products they are intended to describe. With a few variants of the terms, the text robot can create various, diversified Write descriptions of one and the same product, while keeping the Adapt language style to the respective target group.

This type of text can the robots much more efficiently than an author. The However, this only applies to texts whose content is based on defined and structured data and which are also stylistically assigned a certain pattern is based on. These are about the product product descriptions of an online store.

How convincing is the quality of the texts?

Often the automated delivers Content creation better texts than those of human copywriters. Especially when in a short time a large number of similar texts are to be created, human copywriters never work entirely without Error. “Products have to go into the web store quickly, because whoever product innovations in the portfolio quickly enough, lets Turnover lie. The topic of product text has already taken a back seat”, so an essential statement in the article “Good product texts: What online stores often fail at” from the Company blog of uNaice GmbH.

In addition, it takes time to also to ensure consistent quality. “Some dealers”, so the statement of Andreas Wenninger, Managing Director of uNaice GmbH, “also combine the work of machine text robots with human copywriters.” First, the text robots create like the texts as usual, then human copywriters and Content managers who work in e-commerce companies anyway are busy working on the texts. Further optimization measures on the texts for the best-selling products increase conversion still additional.

Text robot generates alternative texts

Content Automation is based on certain rules and synonyms. With this the text robot generates varied texts. Through other formulations and sentence constructions, new texts are created so that not all texts are so are uniform. The advantages of text robots are enormous.

Particularly interesting is the Text robot to make translations of individual product texts. So far it has taken months It took a long time for an online store to be translated into another language, to enter a foreign market. Today it takes only still a few weeks to go.

Data competence as a prerequisite for the automated text generation

For successful text automation for online stores, it is essential to have a high level of data competence. is present. Because in addition to the individual rules for each store for the texts, the definition of the product attributes is also important. Thereby the data for content automation must be prepared and be optimized. Often the products in the online stores have names, which already contain important properties of the product, such as color and material. This is handy in the header. But the text robot can not select the data individually, so they are useless at the point are.

It is better if there is a standard for each attribute has its own data field, from which a separate data set can be generated. “If this is then used in different variants and different sequences, variance is created and duplicate content is avoided.” More Answers to this aspect are provided in the article “Tips &Tricks for good product texts: How to optimize your product data” from the company blog of uNaice GmbH. With detailed product descriptions lower online stores moreover their returns.

Does this pay off for the online retailer?

The investment in the automatic Online store texting is only worthwhile when high quantities are to be are create. When an online store has several hundred, sometimes very has similar articles, whose descriptions are modified again and again become and partly even translated into other languages a text robot helps to save time and costs.

“For more than 70 percent of online retailers, lack of time is the greatest hurdle in the creation of product texts,” says Andreas Wenninger.

Straight for longer texts, which are designed reader- and also search engine friendly are, the effort required to create them is enormous. For one time longer texts, the use of a text robot is worthwhile. not, as in the case of the about us page, for example, which for years remains the same.

Ali Oukassi

Mohamed Ali Oukassi ist Gründer und Inhaber von eBakery. Er hat mehr als zwölf Jahre Erfahrung in der E-Commerce Welt. Mit seinem Team aus Experten kann er jeden Bereich abdecken und lebt den Full-Service-Gedanken, egal ob es um die Erstellung / Umstellung eines Shops, die Berartung hinsichtlich des richtigen Shopsystems, Marketingfragen, SEO oder auch das Thema Social Media Integration geht. Gut vernetzt und mit einem leistungsstarken Personal im Rücken, nimmt er sich jeder Herausforderung im E-Commerce an.