a few minutes without the need for any specific technical skills. Thanks to intuitive dashboards, it shows in real-time the results of visits and sales that the online shop is producing. In addition, with special indicators, you can see at a glance whether performance is good or bad. Slymetrix Analytics also offers the possibility of displaying dashboards in 16:9 so that they can be transmitted live on a TV monitor: if placed in your office, it allows you to quickly check the real-time performance throughout the day.

In addition, the advanced versions allow the definition of advertising campaigns in the various digital media channels, building an inventory of channels organized by traffic providers. Once the definition is complete, for each channel of each campaign the platform generates a tracking url, through which it will be possible to monitor the performance of the campaigns and those of the digital media channels.

In conclusion, with Slymetrix Analytics every e-commerce retailer can boost its performance by optimizing its media investment by monitoring results according to budget forecasts.

Why investing:

Because Slymetrix is the key tool to enable e-commerce to improve its performance and thus achieve the expected economic goals (increase sales and profit by at least 30%). The e-commerce market is growing steadily and today has around 15 million online shops.

Because we have developed a 100% scalable Full SaaS business model, cloning successful international models with the intention of attracting the attention of large international groups interested in acquiring the startup (exit).

Because our goal is to achieve an exit within 3/5 years of incorporation that will allow investors in this round to get x10 return.

Market:

Slymetrix is positioned in the Business Analytics Software Platforms market. The global Business Analytics Software market size was valued at $53.68 billion in 2019 and is expected to reach $120.27 billion by 2027, registering a CAGR of 10.5% from 2020 to 2027.

Machine Learning and Artificial Intelligence:

We have laid the foundations for evolving our mathematical algorithms into Machine Learning and Artificial Intelligence systems that will make decisions on behalf of platform users. The aim is for the tools themselves to suggest how to manage investments in order to improve performance.