O que é ABM 2.0 (Account-Based Marketing with AI)?
The evolution of traditional Account-Based Marketing. ABM 2.0 uses artificial intelligence and predictive intent analysis to orchestrate hyper-personalized campaigns for specific corporate accounts.
Traditional ABM (Account-Based Marketing) is the B2B strategy of treating individual accounts (high-value companies) as if they were unique markets, designing specific campaigns to close key accounts.
However, traditional ABM has a serious flaw: scale. To deeply personalize communication for 100 different companies, an army of marketers and SDRs operating manually was required.
What Changes in ABM 2.0?
ABM 2.0 solves the scale problem by injecting Intent Data and Agentic AI into the process.
1. Predictive Intent Signals
Instead of selecting 100 random accounts based only on size, intent algorithms scour the internet to discover which corporate accounts are actively researching the problem you solve (even if they have never visited your website).
2. Automated Hyper-personalization
When the intent signal is triggered, Agentic AI takes over. Instead of humans creating 100 variations of Landing Pages or emails, ABM 2.0 uses Augmented Generation (Generative AI) to dynamically generate the emails, ads, and sales portals based on the exact challenges that the buying committees of that specific company are facing.
ABM 2.0 delivers the precision of a sniper with the speed and volume of mass campaigns, plummeting the CAC of Enterprise deals and drastically accelerating the corporate sales cycle.