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In recent weeks, the most relevant discussions in marketing and martech have revolved around the massive integration of AI into B2B growth funnels. According to recent analyses, AI is increasing lead quality by up to 37% , accelerating sales by 28% , and enabling 64% faster follow-ups—crucial factors for funnels that need to scale efficiently and predictably. Account-to-account (ABM) campaigns lead in ROI generation—a practice already adopted by 76% of marketing teams—while total operational alignment (Revenue Operations) between sales and marketing has become key to accelerating the pipeline and ensuring higher conversion rates[1].
The growth of multichannel and hyper-personalization experiments was also highlighted, with data showing that 71% of buyers already expect customized journeys — and companies that meet this demand are 80% more likely to close deals. With approximately 80% of interactions on digital channels and B2B buyers interacting through an average of 10 different channels before deciding, the funnel today requires orchestration of data, content, and context in real time. Another key finding: 75% of B2B buyers prefer self-guided research and decisions, forcing companies to invest in digital experiences and robust self-service [1][2].
The collaboration trend grew in 2025, with major players holding benchmarking events and webinars on funnel optimization with generative AI, in addition to the robust adoption of unified dashboards to ensure visibility at all stages — from top to top-up to loyalty. The strategic use of satisfied customers as brand advocates in post-funnel actions jumped, boosting the referral and advocacy cycle and strengthening CLTV in recurring markets[2][3].