Q&A with Jaime Punishill, CMO at Lionbridge

MEDIA 7 | August 26, 2019

Jaime Punishill, CMO at Lionbridge is an innovative marketing, channel, and product executive with a proven track record for finding blue ocean strategies and delivering scalable business operations.

Jaime is also an expert in operationalizing design thinking, translating new concepts and trends into workable business plans and operations, and delivering pragmatic innovation within a large enterprise.

MEDIA 7: Could you tell us about your role and journey into marketing?
JAIME PUNISHILL:
As Chief Marketing Officer for Lionbridge, I oversee brand, demand gen, corporate communications, marketing, and customer research. Interestingly enough, I’m not a classic marketer by training. I have spent most of my career on the product side and in digital transformation. I’ve been doing that since the mid-1990s. At some point, it became clear that marketing was the next area that universal digital transformation was going to overtake, and areas like user experience and many other digital functions that had been done separately were going to move under the remit of marketing. I slowly moved into the marketing universe and helped with big digital transformation in my previous company. That led me to take on all our brand, advertising, and integrated marketing. In that way, I ended up with a more traditional marketing role, and that led me to Lionbridge.

M7: As a CMO, what are the biggest challenges you face?
JP:
One of the biggest challenges is the unbelievable explosion in the martech space. I get over 300-400 emails and dozens of phone calls every day from different vendors who are trying to push different tools to help optimize the new digital experience. Keeping track of the rapid pace of evolution and trying to integrate all those tools is single-handedly probably one of the biggest challenges for CMOs. It swallows historical challenges, like getting the company to buy into a new understanding of the digital universe, or getting people to appreciate customer research and customer feedback.
These are always challenges, but they are all lower in scale now than just sheer digital transformation and the volume of tools and resources that accompany that transformation. There’s so much noise, and it’s really hard to tell what’s real and what’s not real.


"Keeping track of the rapid pace of evolution and trying to integrate all those tools is single-handedly probably one of the biggest challenges for CMOs."

M7: What was the most successful marketing campaign you have ever worked on? What made it so successful?
JP:
In my previous organization, we led a re-brand of the company in its first-ever national advertising campaign. That meant we weren’t constrained by existing rules and assumptions about how things had to be done, so we were able to quite creatively and innovatively harness several digital channels in a way that many of our competitors hadn’t. In terms of revenue or asset flows, new customers, traffic to the website and just about every other metric, it was a tremendous lift. That’s probably the single-most effective marketing campaign I’ve worked on, and it was completely comprehensive. It had a brand component, a communications component, a community component. It had very specific direct targeting and campaigns along with a goal of raising basic awareness. We were targeting by social media profile and audience. I think it was successful largely because it was multi-faceted and end-to-end.

M7: At Lionbridge, how do you see AI evolving with digital media?
JP:
For AI, we are still really in a hype-cycle. There is absolutely no doubt that AI and everything that falls under its purview will have a profound impact on the scale, data, and decisions we are able to process as marketers. The number of simulations and tests we will be able to run to optimize a campaign or project pre-launch, plus the ability for us to pivot real-time and use new insights, will be absolutely profound. But I think we are still very early in the journey. There’s more hype than substance right now. I’m not skeptical about AI’s eventual impact at all. But right now, the tools are not mature, and we are not mature in our understanding of AI, even regarding some of the most impactful ways to use it. So, I’m super optimistic over a 3-5-7-year period. But, I’m very skeptical over a 6-12-24-months period.


"AI and everything that falls under its purview will have a profound impact on the scale, data, and decisions we are able to process as marketers."

M7: How does the acquisition of Gengo strengthen Lionbridge’s position in machine learning?
JP: We are one of the world leaders in AI training data services. The fuel that makes AI work effectively is incredibly high volumes of high-quality data. And the problem is, as we know, most organizations have not done a good job being stewards of their data. Their data exists in lots of places, their data is not clean, it’s not annotated or mapped, there’s no organizing taxonomy around its structure. CDPs are still relatively early for a lot of folks, and so the catch is that you have lots of data, but that data may be largely unusable. Sort of like, there is a lot of oil in the ground, but just because the oil is in the ground doesn’t mean you have gas that works in your car or in a plane. A lot has to happen to refine it, to get it ready. The same is true with data “fuel.”

The good news is that we are one of the world leaders in helping companies refine their data so it’s usable in training their AI systems. Identifying and collecting data, and giving that data meaning, for example, is it metadata or actual data, is that an important variable or not an important variable, etc., is an integral step in the machine learning process. We help companies collect data, organize it, give it meaning so it can best feed our customers’ AI platforms.

We do this by activating our one million-strong SmartCrowd. The Gengo platform really helps us create a scalable system that will allow more companies to be able to improve the quality of their AI training data and, in turn, the quality of their AI.

M7: How do you stay updated on the latest trends in marketing technology?
JP: 
I read a lot. I get a couple of hundred emails a day. Part of that is because I sign up for lots of different sources of information. I think you have to consume a tremendous amount of information right now to pull in all the weak signals. And I probably dedicate more of my days than I would normally to looking at new capabilities just to keep me informed and up-to-date. This allows me to get a sense of when I think something is at a point where we can use it and harness something early for a strategic advantage.


"Most organizations have not done a good job being stewards of their data. Their data exists in lots of places, their data is not clean, it’s not annotated or mapped, there’s no organizing taxonomy around its structure."

M7: What are the top 3 trends that you foresee for 2019 going into 2020?
JP:
We are going to hear more about AI. We will see more examples of it not working in the next 18 months than we will see examples of it working, but I think that’s a short-term phenomenon, and we will work out the issues.

I think there is absolutely no doubt that we are going to see an increase in the production and consumption of video and its import in the production cycle. People are consuming more and more videos, and even B2B buyers are much more heavily consuming videos as a way to absorb a lot of information in a pretty short period of time. In 2-3 minutes, you can convey a lot more, and frankly people can understand a lot more than if they spend 20 minutes reading a whitepaper or something of that nature.

And clearly, voice search is on a big rise. There are a couple of key reasons for that. If you think about the US workforce, half of it now only knows a universe where Google is the dominant information organizational paradigm. Pair that with the sheer explosion of speech applications and devices, whether in your home, in your car, or in your hand—today, every phone is speech-enabled. It’s clear that all the large players are investing a tremendous amount of effort into proving the quality of voice search, and an increasing number of users are speaking to a device or multiple devices to get information. That’s a real challenge for organizations and marketers, because the way people speak to their device and physically ask for information is not the same as how they type a query into a search engine. So, the whole way in which we optimize and organize for search results in a voice-search world is quite different than in a text-based or type-based universe.  

M7: What is your superpower?
JP:
I’m not really sure I have a superpower. But there’s something I think I do that seems to be more of a struggle for some others. I’m able to assemble a collection of weak signals to predict what is going to happen before it happens. I really believe all the information is there, but I seem to be able to use that information to make some good bets about what the future holds.

ABOUT LIONBRIDGE

Lionbridge partners with brands to break barriers and build bridges all over the world. For more than 20 years, we have helped companies connect with global customers by delivering marketing, testing and globalization services in more than 300 languages. Through our world-class platform, we orchestrate a network of 500,000 passionate experts in 5,000-plus cities, who partner with brands to create culturally rich experiences. Relentless in our love for linguistics, we use the best of human and machine intelligence to forge understanding that resonates with our customers’ customers. Based in Waltham, Mass., Lionbridge maintains solution centers in 27 countries. Learn more at www.lionbridge.com.

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ABM Trailblazer Demandbase Announces Buying Group AI, the Next Breakthrough in B2B

PR Newswire | June 06, 2023

Demandbase, the Smarter GTM™ company that helps B2B organizations hit their revenue goals, today introduces the biggest breakthrough in B2B since ABM — AI-powered buying groups. Demandbase One™ will be the first and only platform to use cutting edge, generative AI to analyze millions of data points, drawing from more than 150M B2B contacts combined with the industry's deepest advertising, intent, and engagement data to generate dynamic B2B buying groups, assign roles and personas, and recommend new contacts. It also will aggregate buying signals across the group and streamline engagement, unlocking a clear competitive advantage and saving hours of manual research and guesswork to drive greater revenue growth. "As a company that heavily relies on ABM, Demandbase's new Buying Group solution will be a game changer," said Dan Cafiero, senior program manager, Account-Based Marketing and Paid Media at Seagate. "The ability to automatically identify and engage with accurate buying groups, understanding their personas and roles, will revolutionize our sales and marketing efforts. This tool truly understands the complex dynamics of B2B decision-making processes, cutting through the noise to reach the right people at the right time. We can't wait to get our hands on it." "B2B GTM teams have known for a long time that the traditional lead-based approach really misses the mark, because individuals don't buy solutions in the enterprise — that focus is too narrow," says Brewster Stanislaw, chief product officer, at Demandbase. "That's why account-based marketing came into existence… but the reality is an account-based approach has its drawbacks as well. It's too broad because it's not every person at an account that participates in a buying decision. The sweet spot is in between; it's the buying committee, made of influencers, champions, blockers, etc., that actually determines where and when an enterprise will invest in a given solution." Stanislaw continues, "Until now, it's been too hard to implement buying groups because companies had to rely on manual guesswork and faulty data. Our AI-powered buying groups solve this once and for all by delivering on the audience that is 'just right.' We're using artificial intelligence to analyze massive behavioral data sets to generate accurate buying groups and automatically assign roles and personas to each of their constituent members. This empowers our customers to be optimally efficient across their entire GTM motion. By focusing on the buying group as their core GTM object, they can generate more demand with greater velocity through the customer journey, while minimizing waste by investing resources where they are most impactful. This is a revolution for B2B GTM teams that will unlock efficient growth, and those that adopt will be the CMOs and CROs of the future." The industry has recognized the need to target and reach buying groups, with Forrester Research saying that the goal of this approach is to "better align with the true buyer in virtually all B2B buying decisions — a group of people (the buying group) all working together to solve a business issue." "Identifying and engaging with the buying committee is the key to winning deals but it's really hard," commented Craig Rosenberg, chief platform officer at Scale Venture Partners. "That's why the introduction of AI-powered buying groups is so powerful for GTM teams. It eliminates the manual guesswork for B2B GTM teams thus allowing these teams to focus on driving increased demand." Historically, teams have relied on guesswork, manual processes, and missing and inaccurate data, resulting in systematic under-estimation of all personas that make up the full committee. With Demandbase Buying Group AI, this will all change. For the first time, companies will be able to use AI to automatically generate their ideal buying groups, create different buying groups for different products and journey stages, find the right contacts for each persona — adding them to their CRM, if not already there — and engage them with accurate contact information. The result will be fewer missed, lost, or delayed deals and vastly superior go-to-market execution. Demandbase pioneered the ABM movement and is now leading the way in this latest evolution of B2B go-to-market. The company is uniquely positioned to deliver on AI-generated buying groups with its massive data set that combines the customer's engagement data with Demandbase's B2B data — including AI-validated contact data on more than 150M buyers plus expansive advertising and behavioral data — to see how individuals interact across products and with each other. Demandbase Buying Group AI will launch out of beta in Q3 of 2023. See how it works to learn more and discover why buying groups are the foundation of a modern, Smarter GTM™ platform. About Demandbase Demandbase helps B2B companies hit their revenue goals using fewer resources. How? By using the power of AI to identify and engage the accounts and buying groups most likely to purchase, powered by combining your sales and marketing data with our validated B2B data — what we call Account Intelligence. Better data makes better AI, that's Smarter GTM™.

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