Our technology

OUR PROCESS
Our technology is based on a 4-steps process.
Firstly, it gets data on heavily-searched topics from high-quality sources that we monitor.

Then, it analyzes the data with mathematical functions in order to assess and validate if the topic is actually trending and how significant it is. We also use ML clustering to categorize the data (our models are explained below).

Then, it enriches the data with more information about it. Finally, it tries to forecast how the trend will likely perform in the near future based on historical data using the latest technologies available.










WHERE THE DATA COMES FROM
Our data relies on Google and it is based on what consumers are searching for. Specifically, it relies on Google Trends, Google News, Google searches, Amazon searches, Twitter searches and YouTube searches. We also have a partner for e-commerce data.

We are able to fetch data from different regions (US included), as far back as up to 5 years prior.

We focus on top of the funnel organic searches, not taking advertising into consideration. This allows us to get a sneak peek into the mind of the consumers and how they think.

Pace models

Our models are derived from analyzing the slope of a trend (which is essentialy a curve).
We also take into consideration if and by how much a trend is peaking and in how many days is doing so.
Usually, we consider as "peaking" a trend that is growing by more than 25% in a very short time.
Here are our models:

Growth

The trend has a growing demand. You should track this type of trends.

  • Seasonal growth

    Growing periodically. Likely to increase in demand every year.


  • Sustained growth

    Steady growth over the past years. These trends are safe bets.


  • Rapid growth

    Sudden, rapid growth. These trends might not last.

    • Decline

    The trend has decreasing demand. Forget this type of trends.

  • Seasonal decline

    Decreasing periodically. Likely to decrease in demand every year.


  • Sustained decline

    Steady decline over the past years. These trends are fading out.


  • Rapid decline

    Sudden, rapid decreasing in demand. These trends have already reached their peak and are starting to decline rapidly.

    • Flat

    The trend is not growing and not declining.