Enterprise sales teams leveraging account-based marketing have seen a 73% increase in average deal size.
This is because data-driven account-based marketing helps with:
- Better qualified leads due to hyper-personalized targeting.
- Shorter prospecting time due to better opportunity identification.
- Higher deals size by targeting high-value use cases.
AI has stepped in as a catalyst for account-based marketing:
- AI analyzes vast datasets and provides instant account-level insights, enabling account-based marketing teams to qualify leads way faster.
- AI identifies high-value accounts, allowing ABM teams to free up resources to target more accounts in a scalable way.
- AI allows account-based marketing teams to tailor-make solutions that drive – hire/faster responses and win rates.
81% of B2B marketers think AI helps them eliminate repetitive work.
AI enhances speed and accuracy, thereby optimizing ABM processes to deliver faster and better outcomes.
How AI fast-tracks account-based marketing
Manual ABM processes, though effective, often struggle with challenges such as time taken for extensive research, challenges in personalization, and the delay in scalability.
AI addresses these issues with real-time insights that enables ABM in achieving precise targeting. Let us know more:
- Instant account insights: Imagine sifting through mountains of data to identify high-value accounts – a time-consuming task.
When you apply AI, it analyzes vast datasets to deliver real-time account-level insights. It also lets ABM teams know which accounts to prioritize with the highest conversion and maximize revenue generation potential.
AI-driven platforms evaluate numerous factors such as a company’s financial health and recent enterprise account-level signals like partnerships, M&A, product development and more.
With these account-level insights, ABM teams can make informed decisions quickly, reducing the time spent on account research and increasing the speed of the sales cycle.
- Identify movements within prospect accounts: AI delves into the prospect account’s corporate landscape. It analyzes news articles and annual reports to uncover details like recent partnerships, technology stack changes, and mergers & acquisitions (M&A) activity.
Account-based marketing teams know that instant access to these insights are goldmines to craft personalized sales strategies.
- Understand pain points and goals: With account and buyer level insights, AI enables ABM teams to identify current challenges, aspirations, and pain points. This empowers account-based marketing teams to tailor-make their messaging and drive better responses.
- Align with account-level challenges: With a clear understanding of a prospect’s goals and account-level specifics, account-based marketing teams can contextualize the solutions and prospect-facing communication around the same.
- Micro-target decision-makers: Within high-value accounts, AI identifies the decision-makers and insights about them – including their involvement in high-priority digital initiatives.
This helps ABM teams to micro-target these decision-makers – factoring in their workloads and deliverables.
