Flevy Management Insights Q&A
What emerging trends in ABM should companies be aware of to stay ahead in 2023?
     David Tang    |    ABM


This article provides a detailed response to: What emerging trends in ABM should companies be aware of to stay ahead in 2023? For a comprehensive understanding of ABM, we also include relevant case studies for further reading and links to ABM best practice resources.

TLDR To lead in 2023, organizations must integrate AI and ML into ABM strategies, focus on the entire customer lifecycle for sustained growth, and employ hyper-personalization by leveraging account insights.

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Before we begin, let's review some important management concepts, as they related to this question.

What does Integration of AI and Machine Learning in ABM Strategies mean?
What does Emphasis on Customer Experience and Lifecycle Marketing mean?
What does Leveraging Account Insights for Hyper-Personalization mean?


Account-Based Marketing (ABM) is evolving rapidly as organizations strive to navigate the complexities of the digital age. The focus is shifting towards more personalized and strategic approaches to engage key accounts. To stay ahead in 2023, it's crucial for organizations to be aware of the emerging trends in ABM, leveraging insights from leading consulting and market research firms.

Integration of AI and Machine Learning in ABM Strategies

Artificial Intelligence (AI) and Machine Learning (ML) are playing pivotal roles in transforming ABM strategies. These technologies enable organizations to analyze vast amounts of data to identify patterns and insights that human analysts might overlook. For instance, AI can help in predicting customer behavior, personalizing content at scale, and optimizing the timing and channel for communication. This allows for a more dynamic and responsive ABM approach, where strategies can be adjusted in real-time based on ongoing data analysis.

According to Gartner, organizations that incorporate AI and ML into their ABM strategies can see a significant improvement in engagement rates and ROI. These technologies facilitate a deeper understanding of target accounts, enabling marketers to deliver more relevant and impactful messages. Furthermore, AI-driven analytics can provide actionable insights into the effectiveness of ABM campaigns, allowing for continuous improvement.

Real-world examples include Salesforce and Adobe, which have integrated AI into their marketing platforms to offer enhanced ABM capabilities. These tools can automatically segment audiences, predict the next best action, and personalize content at an individual level, demonstrating the power of AI in elevating ABM strategies.

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Emphasis on Customer Experience and Lifecycle Marketing

ABM is increasingly focusing on the entire customer lifecycle, rather than just the initial sale. This shift recognizes the importance of nurturing long-term relationships with key accounts for sustained growth. By addressing the needs and challenges of customers at each stage of their journey, organizations can enhance loyalty, encourage upselling, and turn customers into advocates.

Deloitte highlights the importance of integrating ABM with customer experience (CX) strategies to ensure that all interactions with a brand are consistent, personalized, and high-value. This involves a deep understanding of the customer's business, industry trends, and the specific challenges they face. By aligning ABM efforts with customer success initiatives, organizations can deliver more meaningful and impactful experiences that drive retention and growth.

An example of this approach is Cisco's Customer Experience Center, which uses ABM principles to tailor experiences based on the specific needs and interests of key accounts. This personalized approach has helped Cisco strengthen relationships with its customers, demonstrating the effectiveness of combining ABM with a strong focus on customer experience.

Leveraging Account Insights for Hyper-Personalization

Hyper-personalization is becoming a critical component of successful ABM strategies. This involves using detailed insights about an account to create highly customized content and messages. The goal is to resonate deeply with the target audience, addressing their specific needs, challenges, and opportunities.

Accenture's research suggests that hyper-personalization can significantly enhance engagement and conversion rates. By leveraging data analytics and AI, organizations can gain a deep understanding of each target account, including decision-makers' preferences, purchasing behavior, and the competitive landscape. This enables the creation of personalized messaging and content that speaks directly to the account's unique context and needs.

For example, IBM has utilized hyper-personalization in its ABM campaigns by creating customized content for each target account, based on detailed insights into the account's industry, challenges, and opportunities. This approach has allowed IBM to engage more effectively with key accounts, driving higher conversion rates and strengthening customer relationships.

Organizations looking to stay ahead in the ABM space in 2023 must embrace these emerging trends. By integrating AI and ML, focusing on the customer lifecycle, and leveraging insights for hyper-personalization, organizations can enhance their ABM strategies and achieve greater success in engaging and converting key accounts.

Best Practices in ABM

Here are best practices relevant to ABM from the Flevy Marketplace. View all our ABM materials here.

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Explore all of our best practices in: ABM

ABM Case Studies

For a practical understanding of ABM, take a look at these case studies.

Account-Based Marketing Enhancement for Aerospace Supplier

Scenario: The organization is a supplier in the aerospace industry that has recently expanded its customer base but is struggling with targeting and engaging key accounts effectively.

Read Full Case Study

Account-Based Marketing Transformation for a Gaming Firm

Scenario: The organization in question operates within the competitive gaming industry and has recently shifted its strategic focus towards Account-based Marketing (ABM) to better align marketing efforts with sales targets.

Read Full Case Study

Account-Based Marketing Enhancement for Luxury Brand

Scenario: The organization in question operates within the luxury goods sector, specializing in high-end fashion and accessories.

Read Full Case Study

Account-Based Marketing Strategy for Retail Apparel in Competitive Market

Scenario: A firm specializing in high-end retail apparel is struggling to effectively target and engage their key accounts in a highly competitive market.

Read Full Case Study

Account-Based Marketing Strategy for Cosmetic Retailer in Luxury Segment

Scenario: The organization in focus operates within the luxury cosmetics retail sector and is grappling with the challenge of effectively targeting high-value accounts through Account-based Marketing (ABM).

Read Full Case Study

Aerospace Account-Based Marketing Strategy in Competitive Landscape

Scenario: The organization in question operates within the aerospace sector and is facing difficulties in executing an effective Account-Based Marketing (ABM) strategy amidst a highly competitive landscape.

Read Full Case Study

Explore all Flevy Management Case Studies

Related Questions

Here are our additional questions you may be interested in.

What are the most common challenges companies face when integrating ABM with existing marketing strategies, and how can they be overcome?
Overcoming ABM integration challenges involves ensuring Sales and Marketing Alignment, improving Data Quality and Integration, and achieving scalable Content Personalization to unlock ABM's full potential and drive sales outcomes. [Read full explanation]
What are the implications of data analytics advancements on the future of ABM?
Advancements in data analytics are revolutionizing ABM by enabling Personalization at Scale, improving customer insights and segmentation, and optimizing marketing ROI, leading to better business outcomes. [Read full explanation]
How can ABM be leveraged to improve cross-selling and upselling strategies within key accounts?
ABM improves cross-selling and upselling in key accounts through a deep understanding of the Customer Journey, personalized Marketing and Sales Alignment, and leveraging Technology for scalable efforts. [Read full explanation]
How are AI and machine learning transforming ABM strategies?
AI and ML are revolutionizing ABM by enhancing account identification, enabling personalized content at scale, and optimizing campaign execution and measurement, leading to improved precision, efficiency, and ROI. [Read full explanation]
What metrics should companies prioritize to effectively measure the success of their ABM strategies?
Companies should prioritize Engagement, Conversion, and Financial Performance metrics to measure ABM success, focusing on personalized content resonance, deal impact, and ROI to align with business objectives. [Read full explanation]
What role does customer feedback play in refining ABM strategies over time?
Customer feedback is crucial for refining ABM strategies, ensuring they remain personalized and aligned with key accounts' evolving needs, leading to enhanced customer engagement and business outcomes. [Read full explanation]

Source: Executive Q&A: ABM Questions, Flevy Management Insights, 2024


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