In this third article, we show you how you can use the insights gained from the CONTEXTCLOUD analyses to implement a sustainable content strategy. This will help you to make your marketing strategy successful in the long term.

We provide an insight into how leading publishers use CONTEXTCLOUDto optimize their advertising marketing and create new products. We also show how intelligently prepared metadata can be integrated into your publishing workflow to create customer-centric content. We explain all this using 5 AI applications in content marketing based on CONTEXTCLOUDBig Data analyses.

Content Planning

The basis of a systematically developed content strategy is the data-supported identification of the right target groups and a mix of topics optimized for them. A customer-centric content strategy can only succeed by creating a strategy with foresight, i.e. taking the entire market into account. We have outlined the approach in the last two articles in the series on our CONTEXTCLOUDAI platform. The software’s various analyses offer unique insights and perspectives into and on your own content, as well as the entire competition and market. They are therefore used for the data-supported design of a sustainable 360° content strategy.

But the possibilities with CONTEXTCLOUD‘s solutions do not end there: there are many more steps that the powerful AI analyses of the moresophy marketing experts support along the publishing process.

We present some of these solutions in brief:

The Best AI Applications with Smart Data from CONTEXTCLOUD

Content Optimization

The selection of the optimal mix of topics is no longer based on a gut feeling. Instead, it is based on valid analyses that have been automatically generated from comprehensive data. The CONTEXTCLOUDcan not only support you in shaping the future topic mix, but also give your visibility and relevance on the web a whole new boost by optimizing the content you have already published (see also further characteristics of high-quality content: The Content ABC by MORESOPHY).

There is significant potential for improving the relevance of content for target groups and therefore search engine positioning (i.e. SEO) by optimizing existing content. Our intelligent services can analyze and evaluate your entire content in no time at all. The first evaluation of your content concerns the vocabulary used and the type of text written. Put simply, not only the context, but also the language used, i.e. syntax, vocabulary, etc., allows conclusions to be drawn about the target group. In other words, it means that depending on how an article is written, it will reach different people.

With the help of the target group analysis carried out at the same time, you can display relevant keywords for your topic for each target group. By changing your text with regard to the use of these identified words, you have the chance that your content will be discovered by the target groups you want to reach.

Customer-Centric Products and Content

As a professional publisher, you should dissolve the classic boundaries of products for a customer-centric approach.

Prof. Dr. Heiko Beier

Another important application of moresophy’s AI solutions is the use of the analyses as a recommendation system. Because the AI has built up a comprehensive knowledge graph in advance, i.e. a comprehensive knowledge of the individual topics and their interconnections, it knows exactly in which other areas the respective topic plays a role. Similar and thematically matching topics or products are automatically brought into the user’s focus. This allows traditional product boundaries to be broken down and customer interests to be addressed more clearly.

A simple example: You are a manufacturer of electrical cables. Your marketing team writes texts about cable insulation and would traditionally link to similar articles or related topics. Integrated into the preferred content creation tool or CMS, e.g. SiteFusion, the AI suggests during the writing process not only to write about topics related to electrical safety, but also, for example, about topics such as “occupational safety” or “real estate”. Existing product boundaries are therefore dissolved and external knowledge is integrated into the editing process.