I'm growth marketer. I love machine learning and marketing automations.
A used-to-be full stack developer, starting my couple freelance career where I quickly realized to have a marketer approach in every project I have developed. I turned into a digital entrepreneurial founding my first company Hubstrat which grow 20% each year over year, with love and much efforts. So I decided to learn something in this field and soon I was accounted for a love in growth marketing.
I started the company aimed to create digital strategies mixing online and offline. I had the opportunity to work with different size clients working with Italian and European remote professionals.
I was the person in charge of handling company production and handle with customers’ marketing strategy. I have had the opportunity to create and to handle a heterogeneous team starting by 3, growing until 25 people (by remotely in Europe and in agency) to create digital products that deliver a better customer experience.
I founded the company into 2013 from scratch, growing 30% year over year.
I worked in FiloBlu as Product Manager and person in charge for the Conversion Rate Optimization of the best company clients, such as: Elisabetta Franchi, Lotto Italia, OBag, Zanellato, L'autre chouse.
Indeed, I have the opportunity to analyze business and datas of different clients to solve issues about Personas and conversion rates. I deal with marketing strategies, solving complex problems about conversion rates issues through analyzing quantitative and qualitative datas.
As product manager I’m involved to understand and evaluate for create new products. I created a product to help retail, strategy and export team to get data analysis about product price competitors and brand position online.
I’m involved for creating innovative marketing cycle from data ingestion until predictive datas, connecting these informations to marketing automation/orchestration products.
Being there a Google partnership I’m the person in charge aiming for create the new marketing architecture/platform using Google Cloud infrastructure. The main goal is to aggregate behaviour, demographic and others 3rd party datas into BigQuery where through machine learning algorithms extract customer LTV, purchase predictions, customer segmentations, personalization datas for inject the content into different communication channels.
Using the activation phase (Google API) I connect different products to create the last part of the cycle through Marketing Automation products, Chatbot AI Based and others. Indeed, principal aim of this technology is aggregate much more information about customers data to analyze them in a Customer Data Platform on Google Cloud.
Most recently, I am fouding a new company, Magnetica.
Degree and Certifications
Machine Learning – Stanford Online
Professor: Andrew Ng
Date: June 19, 2018
Exploring and Preparing your Data with BigQuery – Google Cloud
Date: June 19, 2018
Creating New BigQuery Datasets and Visualizing Insights - Google Cloud
Date: Feb 13, 2019
Achieving Advanced Insights with BigQuery by Google Cloud
Date: Mar 28, 2019