In less than two years with MarketLauncher, ML Achiever Peter DeBartolo has lived in New York City, Italy, Chicago, and his current home, Lakewood, Colorado. Peter is a living, breathing example of the success of ML’s work-from-anywhere culture.
The ability to work from anywhere was one of the things that attracted me to ML. I was living in New York working in the advertising industry in data management roles. I’m a native of New York State but was starting to crave a new adventure. When an opportunity to move to Florence, Italy, came about, I took it! To take full advantage, I realized I needed a forward-looking employer who was supportive of remote-based employees. ML was ahead of the curve in that regard. I quickly learned that they are also leaders in understanding and harnessing the power of data, so as a data professional, that intrigued me. They had an open position for a Data Manager, and I was fortunate to pass their intense interview process.
After a few months with ML, I headed off to Italy for five months. That was an incredible experience that would have been a little more difficult without the support of Lara Triozzi and the ML crew. When it was time to come home, I went to Chicago. I have family there, so it was a natural location for me to re-establish my US roots.
In August of 2023, I fulfilled another dream and moved to Lakewood, which is just outside of Denver. That’s a city that has attracted me for a long time. I love skiing, and it has a vibrant music scene, which is a passion of mine. I plan to stay here for a while.
Sure; I was in an Americana rock band in New York called Means and Ways. We're a 4-piece rock band, and we released our first album on Spotify in the Fall of 2023.
I had to give up playing in a band when I moved abroad, but now that I’m settled in Colorado, I am getting back into it. I play piano and organ.
I do. Three things:
I’ve always had a natural affinity for data and knew early on that was my career path. I understand data and can communicate it to clients in a way they understand. I turn data into a valuable business tool.
As I mentioned, prior to ML, I worked for eight years in the advertising industry in New York. I was part of several strategic operations teams, including a position as Associate Director for the Account Direct Investment Team of a technology giant. I managed their US Brand awareness campaign. Over those eight years, I acquired deep data analysis, reporting, and project management skills that perfectly fit the Data Manager role here at ML.
ML allows me to leverage those skills and gives me access to a wide selection of industries to support. I help clients with lead generation, and voice of customer campaigns including market research.
We invest deeply in identifying our clients’ Total Addressable Market (TAM). ML is a leader in understanding the critical importance of spending time on this at the beginning of any sales-related project.
The leadership team here is very invested in data. They equip the team with the best technologies to support our clients and pay close attention to emerging trends our data analysis programs uncover. This has led to a few transitions in my role, which keeps things interesting and satisfies my need for continuous learning and growth.
AI tools are impacting how we build the TAM lists I mentioned. ML invests in best-in-class providers who are also utilizing AI and other advanced technologies, like ZoomInfo. This has a trickle-down effect on the services they provide us, which is a win for us and our clients. We employ other tools to perform tasks like importing the data into our HubSpot CRM. That saves us a lot of time.
Using industry-leading technology tools also helps us improve our services. For instance, we just introduced a new process that I designed, which gives our specialists greater visibility into the actions of our target audience. In real-time, we can see individuals actively engaging with our email outreach. This gives our Sales Development Specialists an edge since this signals that an issue is top of mind and our prospect is actively seeking information. This business process change is proving very beneficial in helping us engage with buyers faster and in a more meaningful way.
Yes, the ML team has been incredible from the very beginning. When I first came on board, I was taught the ropes in terms of navigating ML’s platforms and the technologies I would be using every day. The team shared best practices for putting together reports and I was given the freedom to make recommendations and share my expertise to improve the customer’s experience.
In fact, sharing knowledge and collaboration is actively encouraged at ML. I think every good leader should encourage and trust their teams, as the entire leadership team does at ML.