Marketing Against The Grain
Episode: The Brand NEW AI Marketing Strategy for 2025
Date: September 16, 2025
Host: Kipp Bodnar (HubSpot CMO) with guest host Asia Frost
Brief Overview
This episode introduces and unpacks "Loop Marketing"—HubSpot's innovative, adaptive marketing framework designed for the AI-driven environment of 2025. Kipp and guest co-host Asia Frost (stepping in for Kieran Flanagan) dive deep into how AI is transforming marketing, discuss why traditional funnel-based strategies are breaking, and share actionable insights about competing in an increasingly complex digital world. The pair detail HubSpot’s hands-on experiences, highlight tactical shifts necessary for marketers, and outline the four key phases of Loop Marketing: Express, Tailor, Amplify, and Evolve.
Key Discussion Points & Insights
1. The Broken State of Marketing in an AI World
- Decline of Traditional Channels:
- Stat: "58.5% of Google searches are now ending without a click, which is kind of bonkers..." (Asia, 01:59)
- AI is intercepting traffic and eroding predictable demand-generation paths that marketers relied upon.
- Saturation and Competition:
- Rising ad costs, email engagement declines, and oversaturation plague all digital touchpoints.
- "People are overspending on ads or sending twice as many emails—that is... flooding their audiences and just dropping performance at a pretty exponential rate." (Kipp, 02:23)
2. From “Pit of Despair” to Learning-Focused Growth
- After “dark days” of plummeting results, HubSpot’s team shifted its mindset and strategy, embracing rapid learning and experimentation.
- "We've never been able to do better marketing at HubSpot than we're doing right now." (Kipp, 03:25)
- The need for a dynamic, iterative framework inspired Loop Marketing.
3. What is Loop Marketing?
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A Step Beyond Inbound:
- “Inbound marketing was very linear... The average business a decade ago had way more simplistic business models… Now, they need a framework that matches the complexity of their business and the changing landscape of the world of AI.” (Kipp, 04:44)
- The consumer journey is no longer a straight line—Loop Marketing reflects this complexity.
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The Four Phases:
- Express – Define and distill brand identity, voice, and messaging (Asia’s favorite phase).
- Tailor – Deep personalization at scale, using AI to dynamically adapt communications to individual customer data.
- Amplify – Strategic content distribution, including emerging practice of AI Engine Optimization (AEO).
- Evolve – Ongoing learning and optimization in real time, closing the loop for continuous improvement.
Deep Dive: The Loop Stages
Phase 1: Express
- Human First, AI Enhanced:
- "Express is all about bringing your brand voice... to life. This is a very human phase." (Asia, 06:16)
- Core creative ideas are first crafted by humans, then AI is used to stress-test resonance and optimize message delivery.
- Feedback Loops Powered by AI:
- Example: "I surveyed a thousand marketers... I ran that same survey through a Claude project... The Claude project was within 90% accurate... Survey: thousands of dollars, weeks to run. Claude: $20 and it took 20 seconds." (Kipp, 09:08)
- Tactical Tips:
- Gather qualitative/quantitative data about your audience (emails, support tickets, call recordings). (Kipp, 10:24)
- Align creative teams to distill genuine brand perspective, codify into actionable style guides, and validate with AI. (Asia, 10:57–11:25)
- “Is it remarkable?... Would somebody talk about that?” (Kipp quoting Brian Halligan, 11:25)
Phase 2: Tailor
- Beyond Tokens—Truly Personalized Communications:
- AI-driven personalization now leverages unstructured data: website behaviors, content downloads, self-descriptions, etc. (Asia, 13:13)
- "Emails that feel like they could have only been written for that individual contact… a person getting that email responds… in a totally different way than a fill-in-the-blank, Mad Libs style email." (Asia, 13:13)
- Results: "We saw, I think, an 82% improvement in conversion rate from adding personalization to email." (Asia, 14:36)
- Implementation:
- "What data do I have access to that really gives me unique insights on my audience?" (Kipp, 15:23)
- Utilize CRM data, third-party tools (HubSpot Data Hub, Clay), and AI to dynamically generate high-performing, deeply tailored content.
Phase 3: Amplify
- Distribution for the AI Age—AEO Crash Course:
- Kipp: "Distribution is undefeated… As long as your message isn't terrible, you will win." (17:30)
- AEO (AI Engine Optimization):
- “It breaks down into many of the same pillars that SEO did... content tactics, on-page, technical, authority building.” (Asia, 18:23)
- Key Difference: Develop hyper-specific, bottom-of-funnel content tailored to persona-use cases—what AIs (and thus, users) now seek.
- Memorable Example:
- Instead of “10 RV passes across New Zealand,” now: “The five animals a family from America would want to see while visiting New Zealand.” (Kipp, 21:46)
- "If you just feed educational insights without tying it back to your product, the AI engine won't know to recommend you." (Asia, 22:44)
- New Authority Signals:
- "We're optimizing for brand mentions and not backlinks because AI engines do not care about backlinks... They do care about how many shout outs your brand is getting on... Reddit and LinkedIn and Quora." (Asia, 23:29)
Phase 4: Evolve
- Real-Time Learning for Rapid Iteration:
- "When you're in a period of big transformation, learning is your advantage..." (Kipp, 25:12)
- Dynamic personalization based on referrer—“You can now do dynamic personalization just for people coming from the LLMs [Large Language Models].” (Kipp, 26:34)
- Tactic:
- “Set up, use Breeze Assistant or get your ChatGPT, Gemini, or Claude connected with your HubSpot data and start asking... questions about projects or campaigns so you can learn how to make them better the next time.” (Kipp, 30:41)
- Cultural Shift:
- “The conversations we have are very different. Before they were very problem centric. Now they're very much learning centric.” (Kipp, 28:05)
- Use "experimental pods"—small teams dedicated to quick experimentation and shared learning across the org. (Asia, 28:26)
Notable Quotes & Memorable Moments
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On the existential challenge:
- "58.5% of Google searches are now ending without a click, which is kind of bonkers..." (Asia, 01:59)
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On brand voice and creative pride:
- "Express is all about bringing your brand voice, your brand identity, your brand style to life. And this is a very human phase." (Asia, 06:16)
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On AI-augmented feedback:
- "Survey was thousands of dollars and took a few weeks... Claude project was $20 and it took 20 seconds." (Kipp, 09:08)
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On personalization’s evolution:
- “Our coolest learning is... if you take a lot of unstructured data... and you feed that into AI, it can craft these personalized emails that feel like they could have only been written for that individual contact.” (Asia, 13:13)
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On strategy change:
- "Now, we want to talk directly to the marketing manager at a 200-person logistics company who actually feels pretty good about their lead gen strategy, but needs a lot of help for ABM for enterprise." (Asia, 19:44)
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On new authority signals in AEO:
- “AI engines do not care about backlinks... They do care about how many shout outs your brand is getting on places like Reddit and LinkedIn and Quora.” (Asia, 23:29)
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On urgency in learning and adapting:
- "You can't be acting two months later. You need to be acting tomorrow." (Asia, 26:39)
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On the new marketing team dynamic:
- "Before they were very problem centric. Now they're very much learning centric..." (Kipp, 28:05)
- “You three people, your whole mission right now is actually just to learn as quickly as possible and you're going to share your learnings every week so the rest of us learn with you.” (Asia, 28:26)
Actionable Recommendations (All Timestamped)
| Phase | Recommendation | Timestamp | |------------|----------------------------------------------------------------------------------------------|------------| | Express | Audit and update your style guide to ensure authenticity and resonance with your audience | 29:35 | | Tailor | Start layering dynamic data into email and landing page personalization—iterate small, scale up | 30:00 | | Amplify | Identify personas and their unique questions, map content gaps, and start creating super long-tail, hyper-specific, and bottom-of-funnel content | 30:23 | | Evolve | Leverage tools (Breeze, HubSpot integrations) to ask direct, curiosity-driven questions of your data for continual improvement | 30:41 |
Summary Table: Loop Marketing vs. Old Playbook
| Old Playbook | Loop Marketing Playbook | |--------------------------|----------------------------------------| | Linear funnel | Dynamic, iterative loop | | Simple personalization | AI-powered, deep personalization | | Mass, generic content | Persona/use-case specific, detailed | | Static campaign review | Real-time data, instant iteration | | Backlink for authority | Social mentions/brand advocacy |
Final Takeaway
Loop Marketing is HubSpot’s playbook for the AI marketing era: human creativity refined by AI, dynamic and evolving, grounded in deep personalization and rapid learning. Marketers should embrace experimentation, leverage new data tools, create audience-focused content, and foster a team culture focused on curiosity and ongoing improvement.
“It’s never been a more fun time to be a marketer.” (Kipp, 31:14)
Important Timestamps
- 01:59 – State of the market: AI’s impact on Google search and channels
- 04:44 – Why inbound marketing is now insufficient
- 06:16 – The human element in Express
- 09:08 – AI-powered market research vs. traditional survey
- 13:13 – Deep personalization and AI-crafted emails
- 18:23 – The pillars of AEO
- 21:46 – Content strategy for the AI era (specificity)
- 23:29 – New rules of brand authority for AIs
- 26:39 – The need for instant iteration
- 28:05 – Culture shift: Learning-centric team dynamic
- 29:35–31:14 – Immediate actions for each phase of the loop
For further resources, HubSpot’s Loop Marketing playbook and prompt library are available at hubspot.com/loop-marketing.
Hosts:
- Kipp Bodnar (HubSpot CMO)
- Asia Frost (guest co-host, Head of Content Strategy)
