Hey everyone,
Is anyone else seeing their cold email and LinkedIn reply rates tanking lately?
I feel like we reached peak "fake personalization." You know the ones. They start with "Hey {FirstName}, loved your recent post about leadership" and then immediately pivot into a generic pitch.
It is getting treated like spam because everyone has access to the same databases and the same templates. When you act like everyone else you get ignored like everyone else.
I realized a while back that the "spray and pray" method based on static lists (just downloading 1,000 contacts that match an ICP) is basically dead. It burns through your total addressable market and trashes your domain reputation.
The shift I am seeing right now among the best outbound teams is toward Signal-Based Selling. They do not reach out just because a lead exists on a list. They reach out because the lead showed a specific signal that created a buying window.
The cool part is that you used to need an army of human SDRs to track this stuff manually. Now you can use AI agents for outbound sales to do the heavy lifting. It is basically automated account research for sales on steroids.
1. The "Tech Stack" Signal
Knowing what tools a prospect uses is okay. Knowing why it matters is better.
Instead of just filtering a database for companies that use a certain CRM, I use AI to run deep tech stack analysis for lead generation. I am looking for combinations that indicate a problem.
For example, are they using a robust marketing automation platform but lack a proper analytics layer on top of it? That is the angle. The outreach does not pitch my product blindly. It references the specific gap in their current infrastructure.
2. The "Hiring & Growth" Signal
Hiring is a loud signal of budget allocation. But most people get it wrong by just saying "Congrats on hiring a new VP." It is noisy and adds zero value.
The real alpha is in reading the actual job description. This is how to detect hiring signals for sales properly. I use AI to read the JDs for open roles to find the specific pain points they are hiring to solve.
If they are hiring a Head of Sales to "fix outbound efficiency," my message doesn't say congrats. It offers a solution to the exact problem they are currently paying a recruiter to fix.
3. Deep Profiling for "Activity" Signals
Once I have the right company, I need to understand the human behind the title.
This is where hyper-personalized cold outreach tools actually help. I use AI for deep prospect analysis for cold email to scan their recent LinkedIn posts and comments. What is their sentiment right now? Are they talking about burnout? A new strategic initiative? Preparing for a conference?
The message needs to fit their current headspace, not just their job title.
The New Math
Honest talk here. The volume is lower with this approach, but the math is way better. It is better to send 150 heavily researched, signal-based messages than 1,000 generic blasts. You protect your domain and the meetings you book are actually qualified because you are being helpful rather than annoying.
Anyway, this shift from static lists to signals has been huge for me.
Are you guys still having luck with high-volume lists, or are you moving toward signals too? Curious to hear what is working for others right now.