Q&A with Matt Amundson, VP of Marketing at Everstring

Q&A with Matt Amundson
Matt Amundson, VP of Marketing at EverString has over 10 years of sales and marketing experience. Matt has held roles in Demand Generation and Sales Development at TIBCO, Marketo, FGXI and Red Bull. His primary focus has been on creating processes that generate a consistent, pipeline.

MEDIA 7: Could you tell us about your mantra “Go for the run”?
MATT AMUNDSON:
On December 29th of 2017, I decided to change my lifestyle habits and decided that I’m going to run a minimum of one mile every single day. So, every day since that day I’ve got up and ran. It’s been a seminal moment where my approach on life and work has changed dramatically. And as a result of that, it’s become a personal mantra, which is to not be afraid of where you might be today. If you’ve got some lofty goals or if you want to try something new, just get out there and give it a try and see what the results of it could be. On a personal level, whether you’re physically tired or don’t feel like doing it, just give it a shot and go for it. On a professional level, if it’s something that can benefit you or your brand give it a try, go for it and see what happens.

M7: What is your favorite part about working at EverString?
MA:
I really love the people that I work with and I’ve been at the organization for about four and a half years. Some of the folks that I’ve worked with since the beginning are still here and it’s just been an awesome journey to be on with some incredible colleagues and that’s just on a personal level. On a professional level, I think we’re all solving a major problem that a lot of organizations are suffering from – which is related to data. As a marketer who has existed in the mar tech space for the broader part of my career, we often think of our process improvements and workflow improvements to gain more efficiency. Whether that’s marketing automation system or a cool new technology like conversational AI most people fall into two camps when it comes to data, either they’re just not conscious of data or they are. The data that they purchase or the data they acquire ultimately powers everything they do from a marketing perspective or they’re used to the status quo of current data providers that provide low quality of data and are sort of mired in the “well I guess that’s the way it is and that’s just the quality level that I have to deal with”. The fact that we’re changing that for some of the world’s biggest brands like Capital One, FedEx, Staples, Autodesk, Oracle as well as the smaller brands is really exciting to me.


"The world’s largest businesses do really large contracts with much bigger deals because they are so data focused and we can provide not only the data but also data science to go along with that."

M7: How does EverString’s data platform stand out from the rest in delivering high coverage as well as accuracy for data vendors?
MA:
The high-quality of our data lies in the way that we collect data versus the way that traditional data vendors collect. The traditional route for collecting data is by using a couple of different ways, but the most traditional would be to have a call from somewhere where people are just dialing into an organization and asking them for data about their companies. That’s problematic for a lot of reasons, one being – you’re essentially relying on people to give you accurate answers to the frequency at which you’re updating. This is fairly sparse because you’re not always going to get a hold of somebody as businesses are changing.

The way EverString does it is by taking a more digital approach to it – we use machine learning and artificial intelligence not only to go out and scrape and collect data and update that data on a monthly basis but we also use artificial intelligence to say, if these companies are similar, the likelihood that they have the same attributes or technology or number of sales employees or engineering employees is probably true as well. So, we’re able to predict that type of data and then feed it back through people to go in and verify. So essentially, we’re able to collect data on a much broader set of companies in a much faster fashion and we’re able to update that data much more frequently than any of our competitors. 

M7: What marketing channels do you use and which ones do you see as the most promising given your target customers?
MA:
We have a fairly small marketing department; we only have five people on the team. But I think the team that we have here is very efficient, and the channels that we generally lean into are the traditional channels of email, digital marketing through both PPC display advertising as well as using platforms like LinkedIn and Facebook which have actually been successful for us.

One of the things that we do is we’re very heavy direct mail marketers and we’ve found a lot of efficiency gain from that. We’re also very well–known for doing really great events, we did a party at Marketo summit in 2016 that had about 3000 people there and luckily, we had Will Smith as the keynote presenter from Marketo summit come and perform in the party. So, that was an amazing event that we’ve been very well known for.


"There’s just a lot of in accuracy and incompleteness in data so modelling that data to try to predict outcomes is problematic."

M7: Since you joined the company EverString in 2015, what paradigm shift do you see in the company today?
MA:
 In the early days of the business we really focused on being primarily a data science company where we wanted to roll out our customer’s data to essentially model and predict outcomes. And the problem with that was a lot of what I talked about at the top of our conversation. There’s just a lot of inaccuracy and incompleteness in data so modelling that data to try to predict outcomes was problematic. And what we realized three years ago was we couldn’t just be a data science company we also had to be a data company and so we set out on this journey to become the data company and realistically about 18 months ago we saw the fruit of that work. For about the last six quarters we’ve been able to go into some of the world’s largest businesses and do really large contracts with much bigger deals because they are so data focused and we can provide not only the data but also data science to go along with that. So, it’s not just that they consume raw data from us but also let us use our own internal data science capabilities to make sense of that data to help marketers do better segmentation, for sales people to have better insights into why they should be reaching out to an account when they should be reaching out to an operations teams to be able to provide their go-to-market teams with just a much higher quality of data.



"Everstring makes sense of data to help marketers do better segmentation and for sales people to have better insights into why they should be reaching out to an account or operations teams."

M7: How old were you when you had your first paying job?
MA:
 I think I was about 10 years old and I fall into like the fairly regular category of a lot of people that I know in the professional world who began their careers as adolescents with a paper route. So, I was like the neighborhood paperboy for a number of years and that was interesting because that taught me a lot of lessons and how to ask people for money which is fairly difficult. It also taught me discipline and building routines and processes around making sure you get up early making sure papers are delivered on time. So, it was a great learning lesson for me. I didn’t necessarily think about it in the time I just kind of thought about the 50 bucks a month that I was getting to go spend on candy and toys.

ABOUT EVERSTRING

EverString’s AI SaaS solution is designed for B2B sales and marketing professionals to drive pipeline growth, help close new customers, expand into new markets, prioritize accounts, and provide actionable insights – all without the need for an administrator.

EverString is backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, IDG Ventures and Lakestar. For more information, visit www.everstring.com.

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"What we are seeing for refrigerated supply chains is this pinch -- a need to do ever more with ever less," notes Carsten Spiegelberg, Managing Director - Middle East & Africa, SSI Schaefer. "To meet the growing complexities of the industry, it's not enough to find a quick fix. Companies need material flow experts with industry know-how to consider all angles of a facility and seamlessly blend cold-chain logistics solutions with individual processes." Cold chain storage solutions Careful planning is always the first step in optimizing temperature-controlled infrastructure. To increase efficiency and cost-effectiveness of cold storage warehouses, there are several factors to consider from the beginning. Optimizing air circulation and product storage density Since different products and comestibles require different storage temperatures, cold storage warehouse temperatures can range from -34°C to 0°C, with some even reaching 21°C. However, there is often a trade-off between storage density and air flow. Selecting the right storage system that enhances the cooled air circulation while increasing the storage density in the given facility footprint is critical in the planning phase. Semi-automated solutions for cold storage space optimization Ideal for deep-freeze facilities for bulk storage in the manufacturing sector and delivering maximum space utilization, channel storage setups with semi-automated drive-in racking systems are an accessible step towards automation, offering high throughput, enhanced safety, and reduced time for workers in refrigerated facilities. Capable of following either the Last in-First Out (LIFO) or the First in-Last Out (FIFO) principle, these systems use channel vehicles like SSI Orbiter® and a corresponding docking station to store and retrieve pallets. Compared to a static, manual pallet rack system, a mobile racking storage system is an effective way to boost storage capacity in a given space -- by up to 85%, while maintaining full selectivity typically required in distribution centers. This system involves racks that move along floor rails via electric motors to create an aisle only where needed, and it offers smart lighting that only activates in occupied aisles for reducing energy consumption, as well as a night parking option that optimizes rack spacing for maximal cold air circulation. Future-ready automation systems for a seamless, cost-optimized cold chain Due to the need for cold goods to maintain strict timetables and a closed cold chain, storage systems must handle incoming goods efficiently and cope with expected and unexpected upticks in demand. The best way to systematically manage the complexities of cold-chain material flows is with a fully automated storage system that seamlessly interconnects components, such as: Pallets Automated storage & retrieval systems (ASRSs): The SSI Exyz is an automated high-density storage system with extremely high space utilization, particularly in high-bay warehouses, and it saves 25% of energy compared to conventional machines while functioning across different temperatures. Shuttle solutions: As a future-proof, fully automated channel storage option, the SSI Lift & Run Shuttle System (SLR) provides simultaneous access to multiple racks for top-tier performance and high storage density. Other storage types Shuttle solutions for layer trays: For high-volume picking of goods such as comestibles for shop deliveries, tray shuttles and conveying systems enable fully automated robotic picking or support efficient semi-automatic goods-to-person picking. Storage solutions for container, bin and carton loads: For loads of varying dimensions, scalable solutions using SSI Miniload, Flexi Shuttle or Cuby maximize storage density while accommodating specific load and performance requirements to support automatic or semi-automatic case and piece picking. Platforms for central control of refrigerated facilities Although there are various warehouse automation technologies that track material flows, issues such as coordinating multiple systems often arise and there is a clear need for centralized monitoring and control -- particularly with the complexities of refrigerated facilities. To tie all aspects of a cold storage warehouse together, end-to-end software such as WAMAS® or SAP EWM (Extended Warehouse Management) offer clear visualizations and comprehensive tools to manage processes, resources, and stock levels.

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