# Matthew Turner

Matthew Turner works on marketing operations: building the systems and processes that turn a marketing plan into action. Turner's posts also explore how AI can help teams rethink those systems, not just automate existing tasks.

- Profile: https://b2binfluencer.marketing/creators/matthew-turner/
- LinkedIn: https://www.linkedin.com/in/turndog
- LinkedIn followers: 1,855
- Topics: artificial-intelligence, leadership, ai-in-marketing, marketing-operations
- Based on 12 dated posts, latest 2026-10-08

## Summary

Matthew Turner is most useful for explaining marketing operations and practical AI systems that turn plans into action.

- Best for: A B2B SaaS team needing process clarity, ownership, handoffs, and AI improvement for an agreed go-to-market plan.
- Not for: A launch needing verified buying committee access, guaranteed mass awareness, or scripted product demo endorsement.
- Check first: Confirm audience roles, performance details, availability, scope, and terms before planning a paid collaboration.

### Takeaways

- Operations is the how behind the what.
- AI should reimagine work, not just make old work faster.
- Lead with outcome, not a capability list.

## Main ideas

- **Operations is the "how" behind the "what"**: Turner separates marketing vision from execution. A growth or brand leader sets direction and goals; operations builds the process, ownership and cadence to turn them into a working system. The split varies by company: sometimes the operations leader joins the vision conversation, sometimes not, and sometimes the founder or growth lead takes a narrower role. When they disagree with a direction, Turner says they push back honestly based on experience, then deliver the execution once the plan is set. Across businesses, friction usually stems from an undefined operations role, not the people in it.
- **AI should reimagine the work, not just make the old work faster**: Turner describes an early approach to AI in marketing operations as a mistake: breaking existing processes into steps, then building agent after agent to do them faster. That improves current work but leaves the bigger opportunity untouched. They still defend this first phase: streamlining reveals the current state and exposes gaps, so skipping it is not the answer. The mistake is stopping there. The real question is what the team and its roles should look like a few years from now, not how to make today's version more productive.
- **Lead with the outcome, not the capability list**: Turner argues that describing the result someone produces matters more than describing what they do. The principle applies to personal positioning and to how a team or brand explains itself. When people are close to their own work, they struggle to see it clearly—a reason brands have historically hired outside agencies for a fresh perspective. Turner now uses AI prompts designed to challenge their default thinking and provide that outside lens.
- **Capture ideas in one place so they get used**: Turner treats learning and implementation as separate problems. Platforms like LinkedIn offer new insights and trends but can easily consume time, while saved posts often never lead to action. Their solution is a daily or weekly routine and a central place to collect useful material, so ideas can be revisited deliberately instead of lost in the scroll. That system underpins the resources Turner shares publicly.

## Work to read

- [Operations is the HOW to the WHAT](https://www.linkedin.com/posts/turndog_what-is-the-role-of-marketing-operations-activity-7490357124162695169-8pJq)
- [The AI mistake: reassembling instead of reimagining](https://www.linkedin.com/posts/turndog_when-i-first-started-to-think-about-ai-and-activity-7477690434627112960-g1fE)
- [Rewriting a LinkedIn headline to lead with the outcome](https://www.linkedin.com/posts/turndog_i-recently-updated-my-linkedin-profile-and-activity-7505581335844077568-9rYK)
- [The Vault: turning saved posts into work that gets used](https://www.linkedin.com/posts/turndog_i-have-a-love-hate-relationship-with-platforms-activity-7293598336777900032-mjPp)

## Brand relationships

- **The Vault** (mention)

## Partnerships

None of Matthew Turner's five LinkedIn posts describes a sponsorship or partnership offer. The posts are written in Turner's own voice about marketing operations and AI systems, and the one recurring promotional element is "The Vault" — a free bookmark collection of other people's marketing content at tdog.co/vault, explicitly described as "free to access, no option." That is a reader resource, not a paid placement format, and it carries no rate, deliverable, or buyer requirement. The posts do not show sponsored posts, brand-funded series, affiliate arrangements, or a media kit, and they do not identify an official partnership or inquiry route. What the posts do show is how Turner frames work for a client: Turner positions marketing operations as delivering the "how" behind a stated "what," builds systems rather than one-off content, and pushes back on a vision when experience warrants it. For a brand planning around Turner, that means any collaboration would most plausibly be scoped as advisory or systems-building work rather than a standard content placement, but that reading is an inference from Turner's subject matter, not a documented offer. The absence of a documented offer in these posts should not be read as a statement that Turner never accepts sponsorships; it means the posts do not establish one.

## Alternatives

- Slavisa Bogdanovic: Choose Slavisa when the bottleneck is the message, not the process. Two posts show the same line of work: diagnosing why paid ads are not converting and writing the angle that fixes it. One responds to Meta's Muse ad tool by arguing that a human still has to decide the angle, the objection to overcome, and what the customer must believe before buying. It then offers to review one ad and say what to examine before spending more. The other argues that hiring a copywriter who understands the client's customers is different from hiring one who writes 'nice copy'. The hook and angle come after digging into the customer's pain, wants, beliefs, and scepticism. For the same campaign decision, Slavisa is the better choice when the go-to-market plan is settled and the weak link is conversion copy for paid or performance channels, or when an agency needs a copywriter to put in front of its own clients.
- Shahzad Khan: Choose Shahzad when the question is about people and income, not systems. One post lays out five stages of copywriter income, from general writer to specialist, consultant, agency owner, and finally owning the offer, with the habit to drop at each stage and the rupee income band attached. The other lists eight to ten client-acquisition channels a copywriter or freelancer should work, from Upwork and Fiverr through job boards, paid and free communities, and personal branding on Facebook, LinkedIn or Twitter. It argues that scaling an agency means touching all of them. For the same campaign decision, Shahzad is the better choice when the plan depends on building in-house writing capability, designing a career and pay ladder for a content team, or coaching freelancers and small agencies on finding clients. The offer is teaching about how writing businesses grow, delivered as a staged framework.
- Jared Gibson: Choose Jared when leadership and staff are not publishing and the plan needs voices rather than infrastructure. One post describes two chief executives who know they are behind on LinkedIn and YouTube but are waiting for a catalyst. Jared proposes a concrete setup: pick three people, give each a lane they already live in (where the market is going, how the company operates, product or customer stories), post once a week, hold one internal sync a month so nobody contradicts anyone in public, and repurpose one idea into a post, a comment, a clip, and a DM. The follow-on post argues against staying in a single topic lane, notes more than 20 years in sales, and points to the two podcasts Jared runs. For the same campaign decision, Jared is the better choice when the vision is agreed but the company has stalled on content presence and buyer trust, and the practical problem is getting real people to show up consistently.

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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/