The Truth About AI in ABM: A Reality Check I've tested every AI tool for ABM campaigns over the past year. Here's what actually works (and what doesn't). First, let's address the elephant in the room: AI alone will not save your ABM strategy. Because AI is massively overrated! MASSIVELY!!!!!! It is not that creative as you might think. BUT Here's other whys: 1. #Data Quality AI is only as good as the data you feed it. Bad data = bad outreach = lost opportunities. 2. #Research Depth The best ABM campaigns I've seen combine: - Human VA research - AI tools (like Clay) - Manual verification 3. #Pilot Focus Don't try to scale before proving your concept. Start with: - Existing customers - Past clients - Warm leads who know your brand This approach gave us a 72% response rate in our last enterprise campaign. The #winning #formula: 1. Use #AI for initial data gathering 2. Have human researchers verify and enrich 3. Personalize based on actual insights 4. Manual review before sending Remember: Your #ABM #campaigns are only as good as your research. Pro tip: When reaching out, mention specific details that show you've done your homework. "I saw your LinkedIn post" isn't enough anymore. Example that works: "Noticed your team's recent expansion into [specific market] and the challenges you mentioned about [specific pain point from their content]" The key is #balance. #AI tools are great assistants, but they shouldn't run the show. Let machines do the heavy lifting on data collection, but keep humans in charge of strategy and personalization. What's your experience with #AI in #ABM campaigns? No need to answer, I know it, haha.