Digital Businesses Insights

FlasHype analyzes their data and behavior patterns, identifies insights and trends and generates quality leads.

Insights are the hidden aspects of the way of thinking, feeling or acting of buyers that generate opportunities for new products, strategies and actionable communication for Brands.

FlasHype extracts, transforms and enriches digital businesses’ public data from social networks, analyzes its behavior patterns, identifies insights and trends and generates qualified B2B leads.

What does flasHype offer?

Updated information

Geolocation and updated information of all digital businesses’ public data in a Territory

Analysis of the extracted data, searching for anomalies, common patterns and trends

Insights and behavior

Insights of digital businesses’ activity and behavior on social networks

Generates Quality Leads

Prediction of qualified Leads from the data of the Company customers’ data

Prediction of the expected revenue from the identified qualified leads

Machine Learning is a form of Artificial Intelligence that uses a variety of algorithms to iteratively learn from the analyzed data to identify trends and find insights.

How does flasHype apply Machine Learning?

FlasHype Algorithm Identifies all digital businesses in a Territory

FlasHype Insights traces its activity and behavior on social networks

Machine Learning

FlasHype Insights traces its activity and behavior on social networks

FlasHype New Algorithm

Predictive models based on the public data identified and analyzed

Generates Quality Leads

B2B qualified leads for marketing acquisition campaigns

Predictive Analytics uses data mining, statistics, modeling, machine learning and artificial intelligence to analyze current data to make predictions about future.

FlasHype predicts which potential clients deserve to allocate your B2B marketing resources, which products and services of your portfolio to sell and their expected return.

For example, what do these digital businesses have in common...?

Grocery store

Grocery store
“Delicious”

Refurbishment

Refurbishment
“Cozy house”

Furniture

Furniture
“Le Divan”

Flower shop

Flower shop
“Red rose”

Removal firm

Removal firm
“Speedy”