16 November 2023

Why Creators Will Replace Your Entire Marketing Team In 2024 (#174)

2Frameworks

9Insights

Frameworks in this episode

Marketing6 steps

Distribution Is Undefeated

Build owned demand before optimizing conversion at the margins.

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Communication6 steps

Tell the Audience the Truth They Tell Themselves

Turn an honest tension into a focused story that attracts the right tribe.

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Insights & moments

The myth-busts, hot takes, explainers, and tools worth keeping.

Myth Buster· 1

Myth Buster24:30

Why Human-Imitating AI Can Make the Customer Experience Worse

The speakers reject the idea that replacing an existing human interaction with a poor imitation automatically creates value. AI that conceals itself or generates low-quality outreach can frustrate customers and erode trust; the worthwhile applications produce an experience materially better than the previous process.

New technology is often forced awkwardly into old workflows.
Human imitation can be less useful than transparent product assistance.
Automated social engagement is conspicuous and off-putting.
AI adoption should improve the experience rather than merely lower labor costs.

“the things that I've seen that are crappy that I think kind of like erode trust is using AI to pretend to be a human”
Isaac Morehouse · 24:30

“many of the first use cases that people use AI for is doing something they used to do and making it worse”
Kieran Flanagan · 26:30

#ai ethics#customer experience#trust#automation

Hot Take· 3

Hot Take28:00

The Free Startup Idea: Character.AI for B2B Roles

The hosts propose business assistants trained to behave like experienced B2B personas, such as a vice president of sales. Instead of limiting support to representatives without the customer's operating experience, companies could offer role-specific agents trained on relevant professional knowledge.

Persona agents could simulate expertise associated with specific business roles.
Role-specific assistants may answer questions ordinary support teams cannot.
The concept adapts Character.AI's entertainment model to B2B problem-solving.
Sufficient public knowledge may support many roles and seniority levels.

“every company will be able to have chatbots and assistants trained to be to act like like any B2B Persona that you want right”
Kieran Flanagan · 28:30

“this is literally a free startup idea just do B2B character.”
Kieran Flanagan · 29:00

#b2b ai#persona agents#startup idea#sales

Hot Take29:30

Your Buyer's AI May Take the Demo and Choose the Vendor

The discussion flips AI from the vendor side to the customer's side. Buyers may send agents to consume product sites, videos, and demos, compare options against disclosed problems, and produce a purchase recommendation or negotiation thesis.

AI could attend or process vendor demonstrations for buyers.
Agents can synthesize websites and videos from competing companies.
Recommendations could be tailored to the buyer's stated problems.
Automated negotiation already has precedents in large companies.

“AI is going to change how people evaluate buying things for sure”
Kipp Bodnar · 29:30

“the AI is going to give you recommendation and a thesis around what the best option is for you”
Kipp Bodnar · 30:00

#ai purchasing#vendor evaluation#procurement#sales

Hot Take35:30

When AI Commoditizes Products, Notoriety Becomes the Moat

The episode closes with the argument that multimodal AI will make software products easier to reproduce from descriptions or images. As product features and pricing converge, the founder's or marketer's distinctive beliefs, reputation, and ability to attract a tribe become harder to copy and therefore more commercially important.

AI can increasingly recreate software from visual inputs.
Cheaper product creation reduces feature-based differentiation.
Notoriety and a real point of view become scarce assets.
The individual can be a deeper moat than products or pricing.

“in a world where AI becomes ubiquitous and becomes more much more common product is actually much more commoditized and notoriety is much more important”
Kieran Flanagan · 35:30

“the deepest competitive Moe is is you is the individual right”
Jared Fuller · 37:00

#product commoditization#notoriety#competitive moat#ai

Explainer· 2

Explainer19:00

How Recursive AI Agents Could Expand Marketing Across the Funnel

Kieran explains how agents can pass work to one another, improve outputs recursively, and operate across text, images, voice, video, and code. These capabilities could let marketing teams automate outreach, website optimization, product guidance, and conversion rather than handing the middle of the customer journey to other departments.

Agents can iterate without continuous human guidance.
Multimodal systems can create and revise text, imagery, video, and websites.
Marketing could extend from acquisition into activation, conversion, and retention.
Automation and customer data make marketers natural owners of agent workflows.

“AI agents allow marketers in some companies to take on the entirety of the customer Journey”
Kieran Flanagan · 22:30

#ai agents#multimodal ai#customer journey#automation

Explainer32:30

The Who Economy: Buyers Search for Trusted People, Not Just Answers

Jared describes a shift from asking how to solve a problem toward asking who has the credibility to help. As trust in search results, review sites, and aggregated datasets weakens, recognizable people with relevant experience become more influential in buying decisions.

The old discovery model centered on how-to searches.
The emerging model asks who has relevant experience and can be trusted.
People can carry trust that search and rating platforms lack.
Companies can partner with trusted personalities when founders are not natural creators.

“we've moved Mo from the how economy where people get online and they ask how do I solve a problem”
Jared Fuller · 32:30

“people ask who who can I trust who can I go to who's been there before to help me”
Jared Fuller · 33:00

#who economy#buyer trust#creators#discovery

Story· 1

Story23:30

HubSpot Says AI Support Made Customers 300% Happier

Kipp describes HubSpot's early focus on deflecting knowledge-base questions from human support representatives into real-time AI chat. He says customer satisfaction improved dramatically because people received relevant information immediately, and the company began extending the approach to sales and pricing questions.

HubSpot began with a narrow support use case.
Real-time answers reduced dependence on human queues.
Kipp reports customers were 300% happier with the experience.
The same pattern can improve sales-question triage and conversion.

“pick one to three use cases that you can just go and obsess about”
Kipp Bodnar · 23:30

“our customers are so much happier they're literally 300% happier with this experience”
Kipp Bodnar · 24:00

#hubspot#customer support#ai chat#conversion

Tool· 1

Tool25:30

Zapier's Vision for an AI Concierge Across the Product Lifecycle

Kieran describes Zapier using a customer's technology stack, role, and context to generate individualized automation guidance. He also outlines an AI concierge that stays with users from setup through activation, value discovery, and expanded product usage.

Contextual emails map recommendations to each customer's technology stack.
Personalization can resemble a one-to-one implementation guide.
An AI concierge can assist throughout the product lifecycle.
The assistant is intended to improve activation and expansion, not merely answer FAQs.

“it feels like it's WR someone sat down with you and wrote a onetoone guide with you right”
Kieran Flanagan · 25:30

“every product in the future has an AI consur”
Kieran Flanagan · 26:00

#zapier#ai concierge#personalization#product-led growth

Takeaway· 1

Takeaway30:30

Why Marketers Must Learn to Operate Like Creators

Kieran and Kipp argue that platforms favor individual personalities over faceless brands and that creator skills are becoming central to marketing. They point to their own substantial weekly investment in podcasting as evidence that experienced executives see audience creation as a strategic capability rather than a hobby.

Social platforms tend to favor creators over corporate brands.
Marketers should treat podcasts, newsletters, and media as core skills.
Creator ability improves through practice rather than innate talent alone.
AI will automate many conventional tasks while audience-building becomes more valuable.

“marketers don't think of themselves as creators they look at creators and they're jealous”
Kieran Flanagan · 32:00

“we choose to spend 15 hours a week making a podcast”
Kipp Bodnar · 34:00

#creator economy#marketing careers#personality-led growth#podcasting