Most of us here know the pain:
I’ve been testing different ways to personalize B2B outreach at scale, and I’m starting to believe AI is the only way forward.
Here’s what I’ve seen work:
A recent McKinsey stat said companies using AI for sales can increase profitability by up to 20% — and from what I’ve seen in the field, that feels accurate.
One tool I’ve been checking out is Tapistro — it basically turns buyer signals into GTM actions automatically. Instead of sales reps spending hours on research, the AI does the heavy lifting and triggers contextual outreach.
Curious if anyone here has:
Would love to hear from folks doing mid-to-enterprise B2B lead gen campaigns.
- Manual outreach eats time.
- Generic cold emails = 0 response.
- Scaling personalization is a nightmare.
I’ve been testing different ways to personalize B2B outreach at scale, and I’m starting to believe AI is the only way forward.
Here’s what I’ve seen work:
- Signal-Based Targeting → Instead of blasting random lists, track intent signals (job postings, product adoption trends, engagement spikes).
- AI Segmentation → Grouping prospects based on actual behavior, not just firmographics.
- Smart Automation → Outreach that adapts messaging based on role/industry, without sounding robotic.
A recent McKinsey stat said companies using AI for sales can increase profitability by up to 20% — and from what I’ve seen in the field, that feels accurate.
One tool I’ve been checking out is Tapistro — it basically turns buyer signals into GTM actions automatically. Instead of sales reps spending hours on research, the AI does the heavy lifting and triggers contextual outreach.
Curious if anyone here has:
- Tried AI-based personalization tools for B2B lead gen?
- Seen real ROI vs. traditional manual approaches?
- Or do you still think manual prospecting beats automation for high-value accounts?
Would love to hear from folks doing mid-to-enterprise B2B lead gen campaigns.