# David Brock

David Brock writes and advises on B2B sales execution, helping sellers and sales leaders understand customers, improve buying conversations, and build the judgment to sell effectively.

- Profile: https://b2binfluencer.marketing/creators/david-brock/
- LinkedIn: https://www.linkedin.com/in/davebrock
- Median of last 9 posts: 19 reactions, 9 comments (checked 2026-11-02)
- Topics: artificial-intelligence, leadership, sales, ai-in-sales, sales-leadership, sales-enablement, b2b-sales
- Based on 8 dated posts, latest 2026-09-29

## Summary

Useful for B2B sales leaders who want practical thinking on customer conversations, sales judgment and AI.

- Best for: Sales enablement or sales tech brands wanting co-authored content on stopping low-value work before automating.
- Not for: Outreach or conversational AI vendors promising more meetings per rep through volume and personalization at scale.
- Check first: Ask for recent LinkedIn audience demographics and any documented survey of followers' roles and seniority.

### Takeaways

- He asks whether a seller could have a useful first conversation without mentioning the product.
- He describes a workshop, Sh*t we have to stop, where one session found 30% of time stoppable.
- He argues leaders should stop low-value work first, then use AI to sharpen judgment.

## Main ideas

- **Success makes change feel like losing your identity**: Brock argues that doing well removes the reasons to change. When a company is a startup or things are going badly, it experiments and shifts direction. Success replaces that with playbooks, processes, supporting metrics and rewards for compliance — and over time those stop being how the team works and become who it is. When the market shifts, change no longer feels merely risky; it feels like losing an identity. Sunk cost then pushes teams to double down on what produced the success. Brock's proposed responses are to ask what should be stopped, to ask what the team would do if it could not use its current approaches, to look for ideas far from competitors because competitors are looking at the same things, and to reward people who experiment even when the experiment fails. His sharper test is whether anyone can remember the last time the team changed something that was still working.
- **Following the playbook is safe, and it is a ceiling**: Brock separates the immediate cost of judgment from the immediate comfort of compliance. Judgment costs arrive right away: being wrong sometimes in front of everyone, having to explain why you did something the playbook did not call for, and going slower in a world that measures velocity. Brock describes that as simply what learning feels like. Following the playbook feels safer — hit the activity metrics, do what you were told, and if you lose, it was the playbook's fault. Brock argues that is not safety but a ceiling: what you can do in five years is what you can do now. The hard part is that nobody can tell when they have hit it. He says he struggled to write the piece because it kept turning into an ROI analysis without numbers, until he reframed the cost of judgment as finding out what you are capable of and whether you can handle a future nobody can see.
- **Stop the work before you automate it**: Brock argues that treating time as the scarce resource is the mistake behind most AI-in-sales investment. The tools pitched to save sellers time have not improved performance in his account: win rates are declining, cycles are lengthening, fewer people make their numbers and customers are more disengaged. His explanation is that much of the saved time was time that should never have been invested — outreach broadening when it should be narrowing to organizations that need to act now, and effort spent on deals that may be real but will never be real for that seller. Automating research and call preparation, he argues, removes the work where judgment is built: the seller can follow a script, but when a customer says "tell me more" or "that's not important to us," there is nothing behind it. His sequence is to ask what to stop first, then who should do what remains and what is falling through the cracks, and only then to automate low-judgment work or turn AI into something that challenges the seller's thinking instead of replacing it.
- **Sellers should understand the customer's business before the product**: Brock gives clients a rule for first meetings: no talking about products, even if the customer asks. He splits the missing capability into customer acumen (understanding a customer's world, markets, metrics, workflows and language), problem acumen (understanding problems the way the customer sees them, including that in complex B2B the customer may never have faced the problem before) and financial acumen (how the customer makes money, funds decisions and what the problem actually costs). Knowing the customer's business is the input, he says; acumen is what you do with it. He also argues the capability is buildable rather than innate, and that it improves with every conversation about the customer's business.
- **Talking at, to, and with customers**: Brock separates three kinds of customer conversation. Pitching and presenting is talking at customers. Walking through a discovery checklist is talking to them — customers answer the seller's questions in a familiar ask-and-answer pattern, and neither party learns much. Talking with customers is different: the agenda is set together, customers ask questions back, both sides leave having learned something, views change and trust develops. Brock says the missing ingredient is customer and problem acumen — understanding what people are responsible for, how problems emerge, how customers recognize them and what happens if nothing is done. On AI he is direct: it can supply the first question, but when the customer says "tell me more" or "that's not an issue for us," a seller without acumen is stuck. His closing test is a measurement gap: teams measure calls, meetings, talk time and playbook compliance, but never test whether a seller can hold a 30-minute conversation with a customer without mentioning the product.
- **Losing deals is what your strategy produces**: Brock turns a win rate into a strategy statement: subtract the win rate from 100 and you have the outcome your business strategy produces, whether that is 85%, 80% or 75% of qualified deals lost. It is not what gets reported to boards, which hear that the numbers will be hit. His account of how it deteriorates is specific — under pressure sellers lower the quality of deals in their pipelines, win rates slip, sellers cannot manage the rising volume, more people are hired, costs rise, and the result is labelled scaling. Losing is not free either: Brock cites research that losing a deal takes up to twice as long as winning one, counting SDR, sales engineering and management time along with proposals, pricing and legal approvals. Most losses, he writes, are not to competitors, who are doing as badly, but to "No Decision Made" — which he reads as a failure to help customers buy rather than being outsold. He also points to a human cost: sellers who lose eight or nine of every ten deals start giving up, and morale, burnout and turnover follow at every level.
- **Prospecting should raise something the recipient wants to talk about**: Brock writes from the receiving end. About 45% of his inbox each morning is prospecting, and roughly one message in 200 provokes his interest. He describes the pattern: senders open by asserting they know what he needs without having researched him or his business, even though AI makes that easy; sequences continue after a "this is my last outreach" message, so the recipient knows more are coming. He notes that many of the senders are highly visible on LinkedIn sharing advice on high-impact prospecting, and that at least half work for well-known companies. The messages that worked, he says, were not heavily personalized and did not mention his posts — they raised issues his clients face and asked what he thought, which made him curious enough to look at their websites and profiles. When he followed up, he found those senders had read his articles carefully; research was simply how they worked, not something they had to prove. That leads to his reframing: prospecting is finding something the recipient wants to talk about, not finding people willing to listen to what you have to say. He adds that underneath the pushback about not having time is a real fear — most sellers know products, scripts and playbooks, not their customers' businesses, because the systems, training and metrics never asked them to.
- **AI exposes a leadership problem rather than creating one**: Reading a Wall Street Journal article about a family firm that never had a layoff in 75 years, Brock argues that AI is not creating a new problem but exposing a decades-old confusion between management and leadership. Managing to the numbers, working the dashboard and treating people as resources to deploy is, he writes, a philosophy that AI makes organizations tremendously effective at executing. Much of the discussion of AI's effect on employment is about efficiency — how much more work can be done and how many fewer people are needed — and the phrase "human in the middle" rarely prompts the question of why the human is there. Brock lists what he says cannot be automated: deciding what matters, establishing purpose, making the commitments purpose requires, and being accountable for the consequences of choices. He closes with questions for leaders, among them whether they are using AI to avoid rethinking the work rather than automating it, and finally: are you using AI to avoid leading?

## Work to read

- [Time isn't the scarce resource!](https://www.linkedin.com/posts/davebrock_time-isnt-the-scarce-resource-for-years-activity-7510778068198690818-Nr4U)
- [We Are Paying To Lose 85% Of Our Deals!](https://www.linkedin.com/posts/davebrock_we-are-paying-to-lose-85-of-our-deals-activity-7512933887262527490-aT_o)
- [If you couldn't talk about your product, could you have a high impact customer conversation?](https://www.linkedin.com/posts/davebrock_if-you-couldnt-talk-about-your-product-activity-7516558886238085120-Sojj)
- [Can our people actually talk WITH customers?](https://www.linkedin.com/posts/davebrock_can-our-people-actually-talk-with-customers-activity-7513703246834638848-TSvB)
- [I was fascinated to read a recent WSJ article](https://www.linkedin.com/posts/davebrock_i-was-fascinated-to-read-a-recent-wsj-article-activity-7520609822476697600-IkAh)
- [The cost of judgment.](https://www.linkedin.com/posts/davebrock_the-cost-of-judgment-i-struggled-to-write-activity-7511558512242737152-i1IY)
- [They know what I need, but they've never spoken to me.](https://www.linkedin.com/posts/davebrock_they-know-what-i-need-but-theyve-never-activity-7521623858920169472-v1vQ)

## Brand relationships

- **The University of Texas at Dallas** (disclosed_partnership)

## Partnerships

The posts reviewed do not describe a sponsorship program, media kit, or brand-partnership offer. What they show is David Brock promoting his own advisory work and events: help developing sales acumen and the tools his team uses for it, a workshop called "Sh*t we have to stop" about cutting low-value sales activity, and a November web conference on improving win rates that he is hosting with Gerhard Gschwandtner and Andy Paul, where readers are asked to comment "Win More!" for information. The contact route he gives readers is direct — "reach out to me," "contact me," or a link to a longer explanation — rather than a partnership page. A brand that wants to work with him should treat this as an approach to discuss scope, fees, and deliverables directly, not as a package to select from a published menu. Nothing reviewed states whether he takes sponsorships outside this material, so that remains open rather than answered.

## Alternatives

- Zach Wright: Choose Zach Wright when the sponsoring company wants the session aimed at SDR leaders and front-line sales managers rather than senior sales leadership, and wants the argument framed as an agentic workflow problem rather than a customer-conversation problem. Wright's version of the same brief is that most AI-for-sales pilots buy a chat window, not a workflow: the seller still reads the answer, checks CRM, pastes into Slack or a sequencer, and updates fields by hand. The proposed fix is to dissect the SDR process end to end — inbound qualification, outbound targeting, account-executive handoff — and automate the places where a seller digs through CRM, rebuilds research, or rewrites cold emails and call notes, while humans keep the decisions about who to pursue, who to pass, and when to hand off. For a sponsor whose product sells to that audience and lives inside the workflow rather than beside it, this is a more operationally specific pitch than the stop-list exercise, and it names the exact steps the tool replaces.
- David Howerton: Choose David Howerton when the sponsor wants a field-sales and CRM-capture angle and a relational frame — elevate the relational, automate the transactional. Howerton brings audience-ready numbers and a live product story that fit a conversation-capture brief: 44% of seller interactions never make it into CRM systems, and top performers using AI spend twice as much time with customers because they waste fewer minutes. The product account is concrete — a seller says what happened in about thirty seconds right after the conversation, and CRM entry, a drafted follow-up, and later task execution happen without them, with one tap to confirm before anything goes live. If the sponsoring company sells in that capture-and-follow-up space, Howerton can demo the mechanism the sponsor is actually selling.
- Arvind Seshan: Choose Arvind Seshan when the sponsor wants platform-scale reach and the vendor-roadmap view of agentic selling. Seshan's posts are Sales Cloud announcements from the Dreamforce keynote: Momentum turns conversations into context, Hunter is a new outbound sales agent that researches accounts, prioritizes prospects, drafts outreach, learns from calls, emails, and CRM history, multithreads accounts, and prepares reps for calls, and Salesforce in Claude puts sales skills into a third-party assistant. The frame — from AI assistant to AI teammate — suits a sponsor launching an agentic product and wanting a named platform executive to describe where the category is heading.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/