In this episode of Sunny Side Up, host Tara Quehl interviews Davis Potter, diving deep into the intricate realm of Account-Based Marketing (ABM). Davis, a seasoned ABM practitioner, delineates the nuances between growth ABM and enterprise ABM strategies, spotlighting the crucial considerations of resource limitations and tiered methodologies. The discussion delves into key performance indicators, focusing on escalating contact engagement and burgeoning revenue, essential for gauging ABM effectiveness. As the conversation unfolds, the transformative potential of AI takes center stage, envisioning a future of scalable personalization and automated ad optimization.
Davis currently leads the ABM function at Telesign, and the CEO of ForgeX, a B2B market research and advisory think tank specializing in Account-Based Go-To-Market (GTM) strategies and Generative AI. He has experience launching, optimizing, and scaling ABM programs within hyper-growth VC-backed startups, mid-size organizations, and some of the world’s largest and most renowned enterprises.
“In growth ABM, you’re able to test and iterate so fast within your tactics.”
– Davis Potter
Davis highlighted the fundamental frameworks of growth ABM and enterprise ABM that have been around for some time. He explained that traditional ABM methodologies have evolved to meet the needs of different organizations. Growth ABM is seen in startups and midsize organizations with limited resources, where tiering accounts (tier one, tier two, tier three) and faster campaign launches are key. Enterprise ABM is practiced in larger organizations, focusing on one-to-one or one-to-few campaigns with deeper personalization and longer campaign durations.
Davis emphasized the differences between growth ABM and enterprise ABM. In growth, ABM, quicker launches with simpler tactics are necessary due to resource constraints and larger numbers of targeted accounts. Enterprise ABM involves one-to-one or one-to-few campaigns, offering deep personalization and longer campaign durations. He also highlighted that growth ABM is driven by agility, while enterprise ABM relies on well-resourced teams and time for personalized campaigns.
Davis discussed challenges specific to growth ABM and enterprise ABM. In growth ABM, limited resources require marketers to handle tasks such as building landing pages, ads, and content themselves, resulting in faster execution but fewer resources. On the other hand, enterprise ABM faces challenges such as dealing with more stakeholders, approvals, and a longer setup time for highly personalized campaigns.
Davis provided insights into the approach for target account selection. He suggested analyzing revenue sources, segmenting target accounts, evaluating engagement levels, and leveraging intent data for both growth and enterprise ABM. For enterprise ABM, he emphasized the importance of selecting account owners who are committed partners in the campaign’s success.
The concept of the buying group, a critical part of ABM strategy, aligns with Davis’ approach to target account selection. He discussed the significance of getting the buying group on board, especially the champion who is invested in the partnership and success of the campaign. Davis linked the buying group approach to the selection of account owners in enterprise ABM.
Davis explained how growth ABM adapts to resource constraints, particularly in startups. He stressed the importance of a tiered methodology, where tier-one accounts receive the highest resource allocation, allowing efficient use of limited resources. Tier two and tier three accounts enable faster execution of campaigns, with tiering facilitating collaboration between marketing and sales teams.
Davis mentioned that within the next 10 years, core Key Performance Indicators (KPIs) would likely be used by all account-based go-to-market methodologies to measure success. For growth and enterprise ABM, he highlighted two key measurement buckets: increasing contact engagement and growing revenue. He emphasized that engagement needs to be tracked at both the overall contact level and the buying group level. Differentiating between contact engagement, lapsed engagement, and unengaged contacts is crucial.
Regarding measuring effectiveness, Davis explained that “contact engagement” is a key metric, defined as interactions with go-to-market teams (sales, marketing, customer success) within the past 90 days. Lapsed engagement and unengaged contacts are also identified. He detailed how tracking engagement within the buying group and tying it to revenue metrics, deal velocity, sourced revenue, and influenced revenue provides insights into ABM success. He discussed challenges faced in tagging the buying group for growth ABM due to the number of accounts.
Davis anticipated the impact of AI on ABM in the coming years. He highlighted that AI would revolutionize personalization at scale, enabling customized insights and content. He discussed the role of AI in providing account intelligence in real time and how AI could optimize ad messaging and creativity for personalized campaigns. He emphasized that AI would significantly enhance ABM practitioners’ capabilities and impact.
In terms of advice for adopting ABM strategies, Davis advised considering factors such as speed of launch, number of accounts to cover, and the feasibility of one-to-one or one-to-few campaigns. He suggested that the decision between growth and enterprise ABM depends on these factors.
Désirée Daniels – Head of ABM & Industry – Retail, Fashion, Beauty & Consumer at Google
Alessandra Fagone – Director, Global Revenue Marketing – Acquisition and Customer Growth at Workhuman
Akriti Gupta– Marketing Director at LinkedIn
Sunny Side Up
B2B podcast for, Smarter GTM™