How can global companies like Apple or Google implement Account-Based Marketing (ABM) to target high-value clients?

One example of a company successfully using ABM is Adobe. Adobe implemented an ABM strategy to target specific accounts that had the potential for high annual contract value. They created personalized campaigns for these accounts, which resulted in increased engagement and ultimately led to a significant increase in their annual contract value. This example demonstrates how ABM can be used to focus on high-value accounts and increase revenue.

Some alternative strategies to Account-Based Marketing (ABM) that can help teams differentiate between high-priority and low-priority accounts include Lead Scoring, Predictive Analytics, and Customer Segmentation. Lead Scoring assigns a value to each lead based on their behavior and engagement, helping to identify high-priority leads. Predictive Analytics uses historical data and machine learning to predict which leads are likely to convert, thus identifying high-priority accounts. Customer Segmentation divides the customer base into segments based on characteristics like industry, company size, or past purchases, which can help identify high-priority segments.