In the ever-evolving landscape of B2B manufacturing, the combination of artificial intelligence (AI) and account-based marketing (ABM) has ushered in a new dawn of efficiency and effectiveness in converting target audiences into clients. As B2B businesses strive to reach and engage with their customers, AI-enabled technologies play a pivotal role in reshaping ABM metrics. AI implementation creates opportunities to make ABM strategies more efficient by personalizing, optimizing resources, and automating repetitive tasks.
Read on to learn how AI can be effectively combined into ABM metric strategies to drive good results and gain a competitive edge.
7 Strategies to Track ABM Metrics With AI Software and Tools
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In the ever-evolving landscape of B2B manufacturing, the combination of artificial intelligence (AI) and account-based marketing (ABM) has ushered in a new dawn of efficiency and effectiveness in converting target audiences into clients. As B2B businesses strive to reach and engage with their customers, AI-enabled technologies play a pivotal role in reshaping ABM metrics. AI implementation creates opportunities to make ABM strategies more efficient by personalizing, optimizing resources, and automating repetitive tasks.
Read on to learn how AI can be effectively combined into ABM metric strategies to drive good results and gain a competitive edge.
7 Strategies to Track ABM Metrics With AI Software and Tools
Tracking the right metrics is critical for a successful ABM campaign since it ensures that the sales and marketing teams focus on effective sales methods to optimize return on investment (ROI) and improve the ABM process. It opens the channel of customer lifetime value (LTV), which estimates the revenue a customer or a group of customers will contribute throughout their entire lifecycle.
Here are seven techniques for measuring ABM metrics, ranging from engaging the correct target audience to churning these key performance indicators (KPIs):
