draglet GmbH vs Martini Tag Insights

Draglet is a blockchain software company, specialized in developing customized Blockchain applications for enterprises.

Draglet is a software company that offers bitcoin exchange software to help its users easily start their own white label, digital currency exchange platforms. The company works to increase cryptocurrency usage by enabling instant crypto conversion for the world. It creates a firm network of gateways into the crypto economy by deploying white label digital currency exchanges. Draglet implements the Distributed Shared Orderbook (DSO) specification which enables its users to connect their exchanges with a global network of crypto exchanges.

Easily tag your content using AI, then analyse the subject matter that is of most interest to your users.

Martini Tag Insights helps you write and brief better content subject matter in two steps:

1. AUTOMATICALLY TAG YOUR CONTENT
Using natural language processing, Martini Tag Insights will scan through your post title and content and then suggest tags based around the subject matter. In particular, it will focus on people, companies, organisations and things, as well as the general theme of the content.

You’ll then be able to either accept the tag suggestions or edit them to make them perfect.

Now, every time a user visits your tagged blog post, Martini Tag Insights will record a visit to content with those tags.

2. ANALYSE YOUR CONTENT
As tags represent subject matter and things that your content is about, data from hits to each individual tag will then be analysed and will then show you what individual tags are the most popular amongst your readers.

From the Martini Tag Insights menu, you’ll be able to access your analytics to see what tags are more popular on your site and how often they receive traffic.

Then, once you apply filtering to your data, you’ll be able to see content opportunities within your data, like what tagged content work well together, what hasn’t worked well together, what tagged content is currently.

Location: London, United Kingdom