Remember when adding someone’s first name to an email felt revolutionary? When segmenting your list by company size made you feel like a targeting genius?
Those days are over.
A recent MarTech article by Shama Hyder cuts straight to the problem: “Personalization without relevance is just expensive noise.” And the data backs this up—73% of B2B buyers actively avoid contacts sending irrelevant messages.
We’ve all been there. Your marketing team celebrates their 25% open rate while sales complains that “these leads are garbage.” Sound familiar?
The spray-and-pray problem
Here’s what most teams got wrong about personalization: they confused knowing someone’s job title with knowing when they’re ready to buy.
Traditional lead scoring treated all activities equally. Downloaded a white paper? 10 points. Attended a webinar? 15 points. Visited the pricing page? 20 points.
But as Hyder points out in the MarTech piece: “Just because someone downloaded your white paper doesn’t mean they’re ready to take a sales call.”
The sequence matters. The timing matters. The context matters.
What buyers actually want
The Gartner research Hyder cites tells the real story:
- 61% of B2B buyers prefer buying without engaging a sales rep
- 73% actively avoid irrelevant outreach
Translation: buyers don’t want more personalized spam. They want you to show up when they actually need you.
How AI changes the game
Instead of asking “Who is this person?” AI asks “What is this person doing right now?”
The difference is massive. AI can track hundreds of signals simultaneously—website behavior, content consumption patterns, search intent, hiring trends, technographic changes. When these signals align, you get genuine buying intent, not just engagement.
Hyder uses a great analogy: “You want to be in front of three people who are prepared to buy, not 300 who aren’t.”
The Spotify model for sales
The most interesting part of the MarTech article discusses “streaming intelligence”—treating prospect identification like Spotify treats music discovery.
Spotify doesn’t just know your favorite genre. It analyzes what you skip, how long you listen, what similar users discover. Then it creates playlists that evolve in real-time.
Sales intelligence platforms like Lusha work similarly, creating “prospect playlists” based on behavioral patterns and buying signals. Your pipeline becomes dynamic, not static.
Read the full MarTech article here
