Evenfy vs Martini Tag Insights

Evenfy is a collaborative free app to help you organize, track and talk about your shared expenses

Evenfy is a collaborative free platform available on mobile apps and the web, developed to help people easily organize their shared expenses so that everyone gets paid back.

To use the service, after signing up the user builds his contact list, creates a new event and add members to it or joins an existing one. An event can be monthly home or office bills, a trip with friends or any other gathering.

To keep info transparency and communication fluidity, all members are able to add their shared bills, send messages, check all expenses and payments status. Besides that, there are rules to ensure an organized interaction between users. For example, permissions to edit or delete expenses are granted only to their creators and expenses can be added or changed only if an event has not been closed yet.

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