7 Targeting Strategies for Smarter B2B Marketing
As B2B buying journeys become longer and more fragmented, precision and context have replaced volume as the new marketing currency. 7 Targeting Strategies for Smarter B2B Marketing outlines how AI reshapes targeting by enabling marketers to connect with high-fit prospects, personalize engagement at scale, and optimize campaigns through continuous learning.
Rather than relying on broad segmentation or static intent data, marketers must combine behavioral signals, firmographics, and predictive analytics to identify buyers most likely to act. Now more than ever, B2B marketers must ensure alignment with their sales teams around shared insights and using automation to sustain engagement long after the first click.
By reframing targeting as a dynamic, data-driven process, B2B leaders can conserve resources, enhance precision, and build stronger connections with decision-makers. The goal isn’t to reach everyone — it’s to reach the right ones, at the right time, with the right message.
In this report, you’ll learn:
- How AI-driven tools transform intent data into predictive models identifying high-propensity buyers
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Why context and credibility matter more than reach in high-performing B2B campaigns
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How to bridge the gap between marketing and sales through shared behavioral and engagement insights
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Ways to automate personalization and follow-up for sustained, high-quality engagement across the buyer journey

