Steve Moynihan

The through-line

Steve Moynihan's consistent argument is that selling has stopped being a matter of volume and craft in outbound messaging and become a matter of being a known, credible human who solves a real problem. Sixteen years on the advertising agency side taught him that the job "it's about helping your clients solve problems. It's not about selling them something" [1], and that principle runs through everything else he says: how he coaches reps, how he evaluates startups he advises, how he explains a technical product to a non-technical budget holder, and how he describes the market failure that his own company exists to fix [1][2]. The second, related conviction is about focus. Whether the subject is an emerging company chasing a random inbound lead or a founder with too many ideas at once, his prescription is the same: do the one thing well, build a track record, then expand [1].

On flying by visuals versus flying by instruments

He borrows a former boss's analogy to separate emerging companies from established ones: the difference is "flying by visual and flying by instruments" [1]. At a small company there is little market data, so you learn as you go and operate "by feel intuition"; he adds his own line that "you're building the plane on the way down" [1]. At an established company you have data on your best customers, your ideal prospect, and how long deals take to move through a pipeline, so the instruments can guide the sales organisation [1]. This is not a value judgement on either state, but it shapes what he expects a leader to rely on at each stage.

The failure mode he has watched repeatedly at emerging companies is lack of focus. While a team is still trying to establish product market fit or define its ideal customer profile, "you're just bouncing all over the place," and a single random inbound from one industry convinces the company it serves that industry until it discovers it does not [1]. His remedy is to maintain focus on what is already working right now, build it out, build a track record of success, and only then expand [1].

On why cold outreach is dead

Moynihan is blunt that the era when the best product plus the best-crafted email would earn a reply has ended: "It just doesn't happen anymore" [1]. He cites data he pulled on B2B email outreach suggesting it now takes ten to twelve emails to get any response at all, which he calls crazy, and he points out what that number hides: the count of prospects you have annoyed into never wanting to speak with you [1]. AI does not rescue this. "You can use AI to craft all sorts of emails and everything else but at the end of the day they want to know that they're dealing with a human" [1]. The alternative he proposes is network building, entering conversations that carry meaning around your industry or your client's industry, and doing so authentically and credibly, because "people want to buy from companies and people that they know and that they trust. You can't fake it" [1].

On building a network from nothing

For a rep with no network, his advice starts with the investing analogy he uses with his own kids in their early twenties: "just start like, you know, put 50 bucks a week away" [1]. The first question is what you want to be known for, which can change over the years, and the brand gets built around that [1]. Practically that means posting on LinkedIn and commenting on others' posts, but not superficially: "not just like, 'Hey, I liked your comment' like go deep, you know, and kind of ask some probing questions that are going to elicit a response from that person or somebody else who's joining that conversation" [1]. He also insists on multi-threading inside target accounts, rejecting the idea that one contact is enough: "You should have 10, 20, 30 connections at that company," building voices in the choir and finding the champion who gets a deal over the line [1].

He thinks most people still misread LinkedIn as "this sterile environment" for white papers and survey results when it is a social network [1]. He stops short of dinner photographs, but argues that when something happens in your life with genuine relevance to your work, post it, because the comments and the shared experiences it draws are exactly what build authenticity and credibility and make you real to people [1].

On personal brand and authenticity

Personal brand matters "hugely," especially in enterprise and complex deals, but only if it is real [1]. His allergy is to the manufactured version: profiles and headlines that "just screams fake," and he singles out the self-styled sales ninja, asking what that even means [1]. The workable approach is to hold on to what is genuinely yours. In his case that is connecting people: "nothing gives me greater joy than connecting really interesting people or connecting an idea to people" [1]. He has turned that into a weekly LinkedIn Spotlight segment highlighting someone in his network doing interesting work, with engagement rates he describes as off the charts precisely because it has nothing to do with business and everything to do with the friends and mentors he has surrounded himself with [1]. There is a career argument underneath the philosophical one: sales is a transient business, salespeople rarely spend a career at one company, and a personal brand is the asset you can carry to the next opportunity [1].

On listening, and the short-term versus long-term tension

Asked how he balances quarterly numbers against durable client relationships, he refuses the trade-off and returns to the customer. The skill that resolves it is active listening, and he names its absence as a real problem in the profession: "We like to talk. We're extroverts, so we like to say a lot" [1]. A rep who genuinely understands what a customer needs, wants, and is looking for can win in the short term and simultaneously build the relationship that generates further opportunities and revenue growth [1]. The customer-first stance also has a disqualifying function. If his service or technology cannot solve the problem, that is fine, because there may be a better fit later; it prevents "trying to jam a square peg into a round hole" and lets you fail faster when the opportunity is not right [1].

On what programmatic media gets wrong

Moynihan describes the programmatic media marketplace as the best poster child for waste and inefficiency in advertising, and traces the cause to a structural flaw: "it was set up wrong" [1]. The demand side platform and the sell side platform do not talk to each other, so the SSP supplying inventory receives no performance signal back from the DSP and is blind to what actually drives KPI performance, which makes its bid requests somewhat arbitrary [1]. SWYM.ai, whose name stands for stop wasting your money, positions itself in the middle to create that missing conversation, integrated with all the major SSPs and DSP agnostic [1][2]. The mechanism is to learn from buy side data: a daily report on the previous day's bids, dissected with AI and machine learning to determine which bid requests actually drove performance against a specific KPI, followed by dynamic curation of inventory carrying those same signals and sent back to the DSP to bid on. As he puts it, "we're just changing what's for sale" [1].

On storytelling for non-technical buyers

His method for selling a technical solution to non-technical budget holders is a story that makes the problem tangible. Imagine walking into a grocery store with money in your pocket and being told you cannot leave until you have spent every penny, which is how DSPs behave: a budget put into a DSP will be gone by midnight [1]. You went in for cherries, but the shelves are stocked with lemons, so you buy lemons because you have no choice. Your purchases then signal the store to ask the supplier for more lemons, "because by God you must really love lemons if that's what you keep buying," and the cycle repeats [1]. The point of the fix is simply "we just want to make sure that what's on the shelves is what you really want and what you need" [1]. The generalisable lesson: with any technical solution sold to non-technical people, "you just got to make it real for them, you know, where they can relate to it" [1].

On advising early stage companies

When he evaluates a startup to advise or consult with, two things come first. One is product market fit, and specifically whether the company solves real customer pain or has "a solution in search of a problem," in which case "good luck to you" [1]. The other is friction: "for me sales is all about reducing friction," which means finding where friction sits in the process and whether it is solvable, and enabling the team with the tools to work smoothly [1]. He frames buyer friction competitively in a broad sense, because customers are not only choosing between you and your competitors but between competing priorities, and "if there's one priority that they can solve easier and cheaper than another, that's what they're going to default to" [1].

His non-negotiable for founders and first sales hires is flexibility. Early stage sales plans are "kind of a dart board early on honestly," and companies that build a plan in January and refuse to revise it as the year unfolds create anxiety and stress and damage sales team morale, especially when founders have put an unachievable number on the board [1]. He is sympathetic to the founder temperament, describing the "mad scientist gene" and calling that energy awesome and the thing that makes a company interesting, while insisting it be channelled in service of a particular strategy: focus on what is in front of you, do it well, then move on to the next thing [1].

On staying sharp

His own routine for staying current is deliberate network maintenance rather than passive study. He checks in frequently with friends who are CROs, VPs of sales, and consultants, and schedules two or three catch-up conversations a week with people in his network he has not spoken to in a while or whose posts caught his attention, often just twenty minutes on Zoom [1]. He also treats keeping up with new technology as part of the job, since finding ways to be more effective and efficient is now central. He uses ChatGPT as a working tool, drafting an email himself and then running it through for variations he can judge objectively, sometimes concluding his own version was better [1]. Alongside all of it he repeats the constant: "staying human and staying like being a real person" [1]. He manages sales teams through continuous feedback [1].

Takeaways

• Small companies fly by visuals and larger ones fly by instruments; without market and pipeline data, early stage leaders operate on intuition, so the discipline that matters most is focus on what is already working [1].
• Cold outreach at scale is self-defeating: it takes ten to twelve emails to get a response, and the metric ignores every prospect you have alienated in the process [1].
• Build a personal brand around something genuinely yours; fake headlines and "sales ninja" positioning read as fake, and the brand is portable when you change companies [1].
• Multi-thread accounts aggressively, aiming for ten, twenty or thirty connections inside a target company rather than a single contact [1].
• Sell by solving a problem, and be willing to walk away when the fit is wrong, which lets you fail faster instead of forcing a square peg into a round hole [1].
• SWYM.ai sits between DSPs and SSPs, learning from daily buy side bid data with AI and machine learning to curate inventory that carries performance signals, addressing the fact that the two platforms never exchanged performance data [1].
• Explain technical products through stories the buyer can relate to, such as the grocery store where you must spend everything and the shelves are full of lemons [1].
• When advising startups, look first for real customer pain and then for removable friction, since buyers default to whichever priority is easiest and cheapest to solve [1].