Cold email reply rates have fallen to roughly 3 to 5 percent for most B2B senders. That’s according to benchmark analysis from The Digital Bloom, which pulls data from major outreach platforms. One Instantly-based benchmark tracks the drop from about 8.5 percent in 2019 to under 3.5 percent heading into 2026.
The average professional now gets well over 100 emails a day, and inboxes have become a crowded fight for attention that no longer exists. Gartner’s 2025 sales survey adds that 73 percent of B2B buyers actively avoid suppliers who send irrelevant outreach. So volume has stopped being an advantage. Often it’s now a liability.
William Shifrin has watched this shift happen across his own pipeline. He’s an enterprise account executive who sells an AI and data platform at a major tech company. He started his career when mass email still worked, and he’s adapted to a market where the old playbook quietly stopped delivering. His take on what’s replacing it is a useful guide for anyone still pouring effort into a channel that returns less every quarter.
The Saturation Problem Nobody Wants To Admit
For years, cold email was the workhorse of B2B prospecting. The logic was to send enough messages, and a predictable share would convert. That logic has broken down, and William Shifrin is blunt about why. “In 2026, I’ve seen a real downtick” in email response, he says, “and I think it’s just because of the amount of emails.” He points to senior buyers in particular: “If you’re a CIO, I can’t even imagine how many emails you’re getting from sales reps on a daily basis. It’s just so flooded that you need to hit another channel.”
This is the truth behind the falling numbers. The channel itself is saturated. When a decision-maker gets more than a hundred messages a day, even a good one competes against overwhelming noise. And as spam filters tighten, sending in high volume risks landing in the spam folder or hurting your sender reputation. William Shifrin hasn’t abandoned email. He still uses every major channel. But he’s changed where the effort goes, and email is no longer the centerpiece.
Where The Attention Actually Moved
Asked where a new rep should focus, William Shifrin states, “I would say leaning into volume on LinkedIn and on the phone.” His reasoning comes down to scarcity. As email got crowded, the channels that still reach people became more valuable. LinkedIn lets a seller reach a buyer in a setting they’ve chosen to be in for work. And the phone has regained power precisely because so few people still use it well. “I still think the phones are king,” he says, even as screening services make connecting harder.
The phone’s comeback ties to a theme that runs through his whole approach. The value of being human. He tells the story of a prospect who thanked him just for calling, half-assuming he might be a bot. In a world of automated everything, a real human voice is now rare enough to be worth picking up for. The channels that felt outdated have become advantages because the competition abandoned them for the false efficiency of mass email.
Rebuilding Outreach For A Crowded Market
As reply rates fell across the industry, William Shifrin found that the high-volume email approach he’d relied on early in his career was producing less and less. He needed a way to keep booking meetings at scale across about 700 accounts, without leaning on a channel that was weakening every quarter.
So he shifted his focus to a multi-channel sequence built around LinkedIn and the phone, with email as a supporting player. His process is straightforward. He picks four to eight key people per target account. He sends LinkedIn connection requests first. Then he builds a custom sequence of emails and calls in his sales tools. He uses large language models to write sharp, opinionated messages so each touch feels relevant rather than generic.
By meeting buyers on the channels where they still pay attention, and leading with real relevance, William Shifrin keeps a productive pipeline and hits quota every quarter, while competitors who rely on email volume fight over a shrinking slice of attention.
The Connection-First Linkedin Strategy
William Shifrin‘s LinkedIn approach is deliberate, and it’s worth a closer look, because it sidesteps the same trap that killed cold email. Instead of blasting messages at strangers, he sends connection requests first and waits until they’re accepted before messaging. “My strategy typically is to send connection requests and not message them until after they accept,” he explains.
The idea is that an accepted connection signals at least some openness. It turns a cold contact into a warmer one before any pitch begins. He then works through new connections each week, sending personalized one-off messages. When he does pitch, he leads with humor, a clear reason for reaching out, or a specific pain point or benefit that hits home. That focus on relevance is the thread connecting everything. Gartner’s research is clear that irrelevant outreach damages the relationship. William Shifrin‘s whole model is built to never be the message a buyer resents getting.
Fewer Messages Beat Automation
The most surprising part of William Shifrin‘s approach is his willingness to send fewer messages in exchange for better ones. “I think people respond more to one-off emails than automated sequences at this point,” he says, “which is pretty wild, because obviously you’re sending less emails.”
What makes a message land, in his view, is relevance the recipient can’t ignore. That might mean naming a competitor already using a similar solution, pointing to a specific pain point, or sharing a clear view on how the prospect could use the product. He uses AI to produce that personalization quickly, solving the old trade-off between quality and quantity. But the personalization itself is non-negotiable. Automation serves the relevance and not the other way around. This is the opposite of the mass-sequence mindset, and it’s where his approach matches the data. Since only a small share of senders personalize in a meaningful way, the ones who do stand out sharply.
Conclusion
Cold email fails because the tactic that defined it stopped working in a crowded, automated, screening-heavy world. The numbers tell the story. Reply rates have fallen by more than half in a few years, and buyers now penalize the irrelevant outreach that volume-first strategies tend to produce.
The way forward, as William Shifrin shows, is to be more relevant on the channels where buyers still engage. Lead with LinkedIn and the phone. Treat email as support. Send fewer but sharper messages. And use AI to make relevance scalable, rather than to make spam faster. The basic principle hasn’t changed, like, reach people where they’re paying attention, and give them a reason to care. The sellers who get that will keep booking meetings while the volume crowd wonders why the inbox went quiet.
FAQs
Is cold email dead?
ANS: Not dead, but weaker. Reply rates have fallen to roughly 3 to 5 percent for most B2B senders as inboxes fill up. Shifrin still uses email, but treats it as a supporting channel rather than the main engine.
Why has the phone become effective again?
ANS: Because so few sellers use it well anymore. As automated outreach floods digital channels, a real human voice stands out. Shifrin recalls a prospect thanking him just for calling, half-assuming he might be a bot.
What’s the right way to use LinkedIn for outreach?
ANS: Shifrin sends connection requests first and waits for acceptance before messaging, which turns a cold contact into a warmer one before any pitch. He then works through new connections each week with personalized, one-off messages built around humor, a clear reason for reaching out, or a specific pain point or benefit.
Does sending fewer emails really work better?
ANS: For Shifrin, yes, as long as each message is genuinely relevant. He finds that pointed, personalized one-off emails beat automated sequences, even at lower volume.
How does AI fit into a modern outreach strategy?
ANS: Shifrin uses large language models to write sharp, opinionated messages quickly, so personalization can scale. The key distinction is that AI serves the relevance rather than enabling more generic volume. It makes good messages faster.
