Introduction
Buyers actively avoid the sellers who send irrelevant outreach. Gartner’s 2025 sales survey of more than 600 buyers found that roughly 73 percent of B2B buyers steer clear of suppliers who reach out with irrelevant messages. Gartner’s analysts put it bluntly, “bad prospecting doesn’t just get ignored, it damages the relationship”.
Industry research consistently links personalized messaging to higher open and click-through rates, and most B2B buyers say personalization improves how they see a supplier. But there’s a catch every seller knows. Deep personalization takes time, and time limits volume. Resolving that tension is one of the defining skills of modern selling.
William Shifrin has built his whole outreach approach around that balance. He’s an enterprise account executive who sells an AI and data platform at a major tech company. His position is firm on both ends. Personalization is non-negotiable, but it can’t be allowed to wreck a rep’s productivity. How he handles that trade-off is a useful model for selling in an era when buyers punish generic messaging and reward real relevance.
The Math That Breaks Most Outreach
Start with the problem William Shifrin names directly. “It’s great to send personalized messages,” he says, “but if it’s taking you 15 minutes per message, how many are you getting done in a day, and how many of those are leading to meetings?”
That one sentence captures the whole dilemma. A tailored message that takes 15 minutes to write limits a rep to a handful per day. A mass-automated sequence reaches hundreds but gets ignored, because it reads exactly like what it is. Most sellers pick one side and accept the downside. Either too few touches to build a pipeline, or too much noise to earn replies.
William Shifrin refuses that choice. In his view, the answer is to cut the cost of personalization so both become possible at once. The goal is to keep the relevance that earns a reply while removing the drafting time that used to make relevance impossible to scale.
Relevance Is The Product
Before the how, William Shifrin is clear on the what. Real relevance speaks to something the recipient actually cares about. “You’ve got to lean into either humor or a reason you’re contacting them or a real specific pain point or value point that hits home,” he explains. The most effective version, in his experience, references that a competitor already using a similar solution, a specific pain in the prospect’s role, or a clear view on how that company in particular might benefit. “Referencing someone in their space or even a competitor really gets people’s attention.”
This is the difference between personalization that works and personalization that’s just for show. A message built around the prospect’s real situation signals that the seller did the thinking. A message that’s merely been mail-merged signals the opposite. Buyers can tell the difference instantly, which is exactly why irrelevant outreach backfires.
Scaling Relevance Across 700 Accounts
William Shifrin manages about 700 accounts, far too many to hand-write a 15-minute message for every person, yet a group that punishes generic outreach as quickly as any other. He needed to keep his outreach genuinely personal and relevant across hundreds of accounts and several people within each, without either drowning in writing time or falling back on the automated sequences buyers tune out.
So he uses large language models to draft personalized, opinionated messages quickly. He might prompt the AI to build a case for why a specific prospect would adopt the platform, draw on recent product features, and focus on booking a meeting while showing concrete return on investment. He pairs this with a tiered model that directs the deepest personalization toward the highest-potential accounts. And he tracks which outreach actually converts to meetings, so his effort flows toward what works.
The result is a personal, relevant outreach motion at a scale that would be impossible by hand. It’s part of how he’s kept hitting quota, and proof that the volume vs. personalization trade-off can be engineered away rather than simply endured.
How AI Resolves The Tension Without Removing The Human
The tool William Shifrin uses to break the old trade-off is AI, applied with a specific discipline. He uses large language models to write the tailored messages quickly: “I’m using LLMs to build it out, like, give me a point of view of why they would use the platform, lean on our most recent features, really focus on booking a meeting, but make sure to demonstrate ROI.”
The key distinction is what the AI does and doesn’t do. It speeds up the drafting, the time-consuming work of turning research and intent into clean, relevant copy. It does not decide what’s actually relevant, which person to target, or what point of view will land. “There’s more clicking,” William Shifrin admits of this hands-on approach versus a fully automated blast, “but I think it’s a better way if you have a good message.”
AI makes a good message faster. It can’t make a bad message good. The relevance still comes from the seller’s understanding of the buyer. The automation simply removes the time penalty that used to force reps to choose between thoughtful and scalable. Used this way, AI frees the human to be more human, more often.
Pain, Impact, And The Line Between Relevant And Robotic
The clearest version of where William Shifrin draws the line comes from a framework he credits to his own sales leadership, talk to pain and impact. “When you’re speaking to what people are going through is a really great way to diagnose, also get human, and focus on people.”
This is the test that separates real personalization from its hollow imitation. Robotic outreach talks about the seller’s product and features. Relevant outreach talks about the buyer’s problem and what solving it would mean. The first is about the sender. The second is about the recipient. Buyers reward the second because it shows the seller actually understands their world.
It also explains why William Shifrin‘s heavy use of AI never tips into impersonal. Because the relevance is rooted in real pain points and real business impact, the messages stay human even when a machine helps write them. The technology scales the empathy rather than replacing it.
Conclusion
The data leaves little room for debate. Buyers avoid suppliers who send irrelevant outreach, and they reward messaging that speaks to what they actually care about. The question was never whether to personalize. It was how to do it without grinding a rep’s productivity to a halt. For a long time, sellers were stuck choosing between thoughtful and scalable.
William Shifrin‘s approach dissolves that choice. Anchor every message in a real pain point or business impact. Direct the deepest effort toward the highest-potential accounts. Use AI to cut the drafting time so relevance becomes scalable. And track what converts so the effort builds on itself. The line between relevant and robotic, in his model, comes down to one thing and that is, whether the message is genuinely about the buyer.
FAQs
Why is personalization so important in B2B outreach now?
ANS: Because buyers actively penalize the alternative. Gartner found that 73 percent of B2B buyers avoid suppliers who send irrelevant outreach. As Shifrin stresses, relevance is what decides whether a message gets a reply or damages the relationship.
How do you personalize at scale without spending 15 minutes per message?
ANS: Shifrin uses large language models to draft tailored, opinionated messages quickly, while keeping the judgment about relevance and targeting humans. The AI cuts the drafting tim, the seller still supplies the understanding of the buyer. This breaks the old trade-off between thoughtful and scalable.
What actually makes a message feel personalized rather than generic?
ANS: Specificity the recipient can’t dismiss. Shifrin builds messages around a real pain point, a specific benefit, or a reference to the prospect’s situation, such as a competitor already using a similar solution. Dropping a first name into an otherwise generic copy doesn’t count, and buyers see through it immediately.
Doesn’t using AI make outreach feel more robotic?
ANS: Not if it’s used correctly. The relevance comes from the seller. AI only speeds up the drafting. Because Shifrin anchors messages in genuine pain points and business impact rather than mail-merge fields, they stay human even when AI helped write them. As he puts it, the approach works “if you have a good message.”
What’s the “pain and impact” framework?
ANS: It’s a method Shifrin uses to keep outreach relevant. Speak to the pain a prospect faces day to day, then connect it to the business impact and the impact on that individual. Talking about the buyer’s problem is what makes a message resonate and reads as genuinely human.
