Apr 2026 – Jul 2026 · 28 posts across 4 months
Each metric on its own scale so you can see the real shape of the trend
Engagements as a percentage of impressions — measures content quality independent of reach
Where your audience comes from each month — higher out-of-network means content is breaking beyond your followers
| # | Post | Date | Impr. | In/Out | Reached | Fol. | Eng. |
|---|---|---|---|---|---|---|---|
| 1 | +🔥The one skill every marketer needs in 2026 isn't what you think... | Apr 2 | 142,300 | 28%/72% | 98,400 | 87 | 2,140 |
Full post content The one skill every marketer needs in 2026 isn't what you think.
It's not prompting. It's not AI strategy. It's not even data analysis.
It's storytelling.
Here's why: AI can generate content at scale. But it can't tell YOUR story. The marketers winning right now are the ones who combine AI speed with human narrative.
5 ways to sharpen your storytelling:
1. Start with a personal moment, not a stat
2. Use specific details (names, dates, numbers)
3. Create tension before resolution
4. Write like you talk
5. End with one clear takeaway
The best content in 2026 won't be the most polished. It'll be the most human.
View on LinkedIn → | |||||||
| 2 | +🔥I asked 50 CMOs what keeps them up at night. The #1 answer surprised me... | Apr 5 | 89,750 | 45%/55% | 61,200 | 42 | 1,580 |
Full post content I asked 50 CMOs what keeps them up at night. The #1 answer surprised me.
It wasn't budget cuts. It wasn't AI replacing their teams. It wasn't attribution.
It was: 'I don't know if my team has the right skills for what's coming.'
73% said they're restructuring their marketing org in the next 12 months.
The shift isn't about fewer people. It's about different people.
Roles growing: AI-augmented content strategists, growth engineers, community builders.
Roles shrinking: Traditional campaign managers, manual analysts, generic content writers.
If you're in marketing, the question isn't whether your role will change. It's whether you'll drive that change or react to it.
View on LinkedIn → | |||||||
| 3 | +Hot take: Most marketing dashboards are vanity projects... | Apr 8 | 67,200 | 52%/48% | 44,100 | 31 | 890 |
Full post content Hot take: Most marketing dashboards are vanity projects.
I've seen teams spend weeks building beautiful dashboards that nobody looks at after the first meeting.
Here's what actually works:
- Track 3 metrics, not 30
- Update weekly, not real-time
- Include the 'so what' next to every number
- Make it ugly but useful
The best dashboard I ever built was a Google Sheet with conditional formatting. The worst was a $50K BI tool that took 6 months to implement.
Simplicity wins.
View on LinkedIn → | |||||||
| 4 | +🔥AI just changed the SEO game again. Here's what happened... | Apr 21 | 52,600 | 38%/62% | 36,800 | 28 | 1,120 |
Full post content AI just changed the SEO game again. Here's what happened.
Google's latest update is prioritizing 'experience signals' over traditional ranking factors. This means:
- First-hand experience content ranks higher
- Generic AI-written articles are getting demoted
- User engagement metrics matter more than ever
The irony: AI made it easier to create content, but Google is now rewarding content that AI can't easily create.
The winners will be creators who use AI for research and distribution, but bring genuine expertise to the content itself.
View on LinkedIn → | |||||||
| 5 | +🔥The marketing team of the future has 5 people, not 50... | Apr 28 | 41,200 | 42%/58% | 28,900 | 19 | 780 |
Full post content The marketing team of the future has 5 people, not 50.
Here's the team:
1. Strategist/GM — owns the number, sets direction
2. Content engine — one person + AI creating 10x output
3. Growth engineer — builds funnels, automates workflows, runs experiments
4. Community builder — owns relationships, partnerships, advocacy
5. Data analyst — measures what matters, kills what doesn't
Every other function gets automated, outsourced, or absorbed into these five roles.
Controversial? Maybe. But I'm already seeing this structure work at AI-native startups.
View on LinkedIn → | |||||||
| 6 | +Your CEO doesn't care about MQLs. Here's what they actually want to hear... | Apr 11 | 35,800 | 61%/39% | 22,900 | 15 | 620 |
Full post content Your CEO doesn't care about MQLs. Here's what they actually want to hear.
After sitting in 100+ board meetings, I've learned that executives want three things from marketing:
1. Pipeline: How much revenue is marketing creating?
2. Efficiency: What's our CAC and how is it trending?
3. Brand: Are we winning the narrative in our market?
That's it. Not impressions. Not click-through rates. Not social engagement.
Translate everything you do into these three buckets and you'll never struggle to get budget again.
View on LinkedIn → | |||||||
| 7 | +I spent $10K on LinkedIn ads last month. Here's what I learned... | Apr 14 | 28,400 | 58%/42% | 18,600 | 8 | 410 |
Full post content I spent $10K on LinkedIn ads last month. Here's what I learned.
The biggest surprise: organic content outperformed paid 3:1 on cost-per-lead.
But here's the nuance — paid did something organic couldn't: it reached exactly the right 5,000 people I wanted, not just whoever the algorithm chose.
My takeaway: Use paid for precision targeting. Use organic for scale and trust-building. Never rely on just one.
View on LinkedIn → | |||||||
| 8 | +Friday thought: The best marketers I know read more fiction than business books... | Apr 17 | 19,200 | 65%/35% | 12,800 | 3 | 285 |
Full post content Friday thought: The best marketers I know read more fiction than business books.
Fiction teaches empathy, narrative structure, and how to hold attention. Business books teach frameworks you could get from a summary.
Read more novels. Write better marketing.
View on LinkedIn → | |||||||
| 9 | +Quick tip: Stop starting your LinkedIn posts with a question... | Apr 24 | 14,500 | 70%/30% | 9,200 | 2 | 195 |
Full post content Quick tip: Stop starting your LinkedIn posts with a question.
I analyzed 200 viral LinkedIn posts. Only 12% started with a question. The top performers started with:
- A bold statement (38%)
- A specific number or stat (27%)
- A personal story opener (23%)
Questions feel engaging but they're actually passive. Statements create tension.
View on LinkedIn → | |||||||
| # | Post | Date | Impr. | In/Out | Reached | Fol. | Eng. |
|---|---|---|---|---|---|---|---|
| 1 | +🔥I've been building with AI every day for 18 months. Here's my honest review... | May 1 | 178,500 | 22%/78% | 132,000 | 112 | 3,200 |
Full post content I've been building with AI every day for 18 months. Here's my honest review.
The good:
- I ship 5x faster than I used to
- I can prototype ideas in hours, not weeks
- I've learned skills I never thought I'd have (coding, data analysis, design)
The bad:
- I sometimes trust AI output without verifying
- It's addictive — I reach for AI before thinking
- The quality ceiling is real — AI gets you to 80%, the last 20% is all you
The ugly:
- I've published content I later realized was partially wrong because I didn't fact-check
- Some of my best 'original' ideas turned out to be things AI had synthesized from others
Net assessment: AI is the biggest productivity leap of my career. But it requires more discipline, not less.
View on LinkedIn → | |||||||
| 2 | +🔥The creator economy is dead. The builder economy is here... | May 5 | 95,400 | 35%/65% | 68,200 | 53 | 1,890 |
Full post content The creator economy is dead. The builder economy is here.
Creators made content. Builders make products.
The shift: instead of monetizing attention (ads, sponsors, courses), the new generation monetizes utility (tools, templates, workflows, micro-SaaS).
Why? Because AI made content abundant but made building accessible. A marketer who can build a tool for their audience is worth 10x a marketer who can write a thread.
The builder economy rewards people who solve problems, not people who get views.
View on LinkedIn → | |||||||
| 3 | +🔥I built a complete marketing analytics dashboard in 2 hours using Claude... | May 19 | 73,800 | 32%/68% | 52,100 | 38 | 1,340 |
Full post content I built a complete marketing analytics dashboard in 2 hours using Claude.
No code experience needed. No BI tools. No data engineering team.
Just me, my LinkedIn data, and an AI that could:
1. Scrape my analytics
2. Structure the data
3. Build interactive charts
4. Package it as a self-contained HTML file
This is what I mean when I say AI changes the marketing skill set. You don't need to know how to code. You need to know what to build.
Tutorial coming to my Substack this week.
View on LinkedIn → | |||||||
| 4 | +🔥Unpopular opinion: Your content calendar is killing your content... | May 8 | 58,900 | 48%/52% | 39,800 | 22 | 940 |
Full post content Unpopular opinion: Your content calendar is killing your content.
When you plan content 30 days in advance, you optimize for consistency at the expense of relevance.
The best content responds to what's happening NOW. It's reactive, timely, and authentic.
My approach:
- 50% planned (evergreen frameworks, series)
- 30% reactive (industry news, trends, responses)
- 20% spontaneous (shower thoughts, conversations, real-time experiences)
The 30% reactive content generates 60% of my engagement.
View on LinkedIn → | |||||||
| 5 | +Had a conversation with a junior marketer yesterday that changed my perspective... | May 12 | 42,100 | 54%/46% | 27,600 | 16 | 710 |
Full post content Had a conversation with a junior marketer yesterday that changed my perspective.
She said: 'I feel like I'm competing with AI for my job, and competing with senior marketers for promotions. I can't win either way.'
She's right that the middle is getting squeezed. But she's wrong about the solution.
The answer isn't to compete with AI (you'll lose) or to wait for promotions (too slow). It's to become the person who combines AI leverage with human judgment in a way that neither juniors nor AI can match alone.
That's the new career moat: AI + Judgment + Speed.
View on LinkedIn → | |||||||
| 6 | +The hardest part of marketing isn't strategy. It's saying no... | May 15 | 31,200 | 59%/41% | 20,100 | 9 | 480 |
Full post content The hardest part of marketing isn't strategy. It's saying no.
No to the VP who wants a webinar series nobody asked for.
No to the campaign that 'worked last year' but the market has moved.
No to the channel that drives vanity metrics but zero pipeline.
No to the agency pitch that sounds amazing but doesn't fit your ICP.
Every yes costs you time, budget, and focus. The best CMOs I know have a 10:1 no-to-yes ratio.
View on LinkedIn → | |||||||
| 7 | +B2B marketing is becoming B2C and nobody's ready for it... | May 22 | 26,800 | 62%/38% | 17,400 | 7 | 380 |
Full post content B2B marketing is becoming B2C and nobody's ready for it.
Buyers don't want to 'book a demo.' They want to try the product. They don't want a whitepaper. They want a 90-second video. They don't want to talk to sales. They want self-serve.
The B2B companies winning right now are the ones treating their buyers like consumers: fast, visual, friction-free.
If your buying experience feels like filing taxes, you're losing to the competitor that feels like shopping on Amazon.
View on LinkedIn → | |||||||
| 8 | +Weekend read: Three books that shaped how I think about growth... | May 26 | 18,900 | 67%/33% | 12,100 | 4 | 265 |
Full post content Weekend read: Three books that shaped how I think about growth.
1. 'Thinking in Bets' by Annie Duke — Decision-making under uncertainty. Marketing is all bets.
2. 'Obviously Awesome' by April Dunford — Positioning. The most underrated skill in marketing.
3. 'The Mom Test' by Rob Fitzpatrick — How to talk to customers without them lying to you.
None of these are 'marketing books' in the traditional sense. That's the point. The best marketing thinking comes from outside marketing.
View on LinkedIn → | |||||||
| # | Post | Date | Impr. | In/Out | Reached | Fol. | Eng. |
|---|---|---|---|---|---|---|---|
| 1 | +🔥Breaking: Google just announced the death of traditional search results... | Jun 1 | 205,800 | 20%/80% | 156,000 | 134 | 3,850 |
Full post content Breaking: Google just announced the death of traditional search results.
Starting Q3 2026, AI Overviews will be the default for 80% of queries. Traditional blue links move below the fold.
What this means for marketers:
- SEO as we know it is fundamentally changed
- Content needs to be 'AI-citation worthy' not just 'rankable'
- Brand mentions across the web matter more than backlinks
- Direct traffic and owned audiences are your hedge
The companies that prepared for this are already seeing results. The ones that didn't are about to have a very rough quarter.
I've been talking about this shift for a year. It's here.
View on LinkedIn → | |||||||
| 2 | +🔥Stop measuring what's easy to measure. Start measuring what matters... | Jun 4 | 112,300 | 30%/70% | 81,400 | 67 | 2,100 |
Full post content Stop measuring what's easy to measure. Start measuring what matters.
Easy to measure: impressions, clicks, open rates, followers
Hard to measure: brand awareness, purchase intent, customer trust, word of mouth
Guess which group actually drives revenue?
The metrics trap: we optimize for what our tools can track, not for what our customers care about.
Three ways to break free:
1. Run quarterly brand surveys (even simple ones)
2. Track 'dark social' — ask 'how did you hear about us?' on every form
3. Measure time-to-value, not just conversion rate
View on LinkedIn → | |||||||
| 3 | +🔥The LinkedIn algorithm in June 2026: what's changed and what hasn't... | Jun 9 | 68,400 | 44%/56% | 46,200 | 29 | 1,050 |
Full post content The LinkedIn algorithm in June 2026: what's changed and what hasn't.
What's changed:
- Carousel and document posts are getting 40% less reach than 6 months ago
- Text-only posts with strong hooks are back on top
- Comments from your network matter more than reactions from strangers
- Posting frequency sweet spot moved from 5x/week to 3-4x/week
What hasn't changed:
- First hour engagement still determines reach
- Personal stories outperform corporate content
- Consistency beats virality
- The algorithm rewards conversations, not broadcasts
Adapt your strategy accordingly.
View on LinkedIn → | |||||||
| 4 | +🔥We're entering the age of 'agentic marketing.' Here's what that means... | Jun 23 | 56,900 | 36%/64% | 40,800 | 25 | 980 |
Full post content We're entering the age of 'agentic marketing.' Here's what that means.
Today: Marketers use AI as a tool (write this, analyze that, generate this image)
Tomorrow: AI agents run campaigns end-to-end while marketers set strategy and guardrails
What agentic marketing looks like:
- An agent monitors your analytics daily and flags anomalies
- An agent creates, tests, and optimizes ad creative automatically
- An agent manages your content calendar and publishes based on performance data
- An agent handles lead scoring and routing without human intervention
The marketer's job becomes: set objectives, define constraints, review results, course-correct.
This isn't 5 years away. Teams are building this now.
View on LinkedIn → | |||||||
| 5 | +I mentored 12 marketers this year. The ones who grew fastest all had this... | Jun 12 | 45,600 | 51%/49% | 30,200 | 18 | 720 |
Full post content I mentored 12 marketers this year. The ones who grew fastest all had this trait in common.
It wasn't intelligence. It wasn't experience. It wasn't connections.
It was speed of execution.
The ones who grew fastest didn't wait for perfect plans. They shipped, learned, iterated. They treated every project as an experiment, not a commitment.
In an AI-accelerated world, the speed gap between fast and slow marketers is widening every month.
Bias toward action > bias toward planning.
View on LinkedIn → | |||||||
| 6 | +Your marketing stack is too complicated. Here's the 4-tool setup I use... | Jun 16 | 38,200 | 55%/45% | 25,100 | 14 | 590 |
Full post content Your marketing stack is too complicated. Here's the 4-tool setup I use.
1. Claude — content creation, analysis, coding, research (replaces 5+ tools)
2. HubSpot — CRM, email, landing pages (the system of record)
3. Figma — design, prototyping, collaboration
4. Notion — docs, wikis, project management
That's it. Four tools. Everything else is either automated via Claude or not worth the overhead.
I used to manage 15+ tools. Each one added complexity, cost, and context-switching. Simplifying freed up 10 hours per week.
The best tool is the one you don't need.
View on LinkedIn → | |||||||
| 7 | +Every marketing leader should spend one day per month doing IC work... | Jun 19 | 22,100 | 63%/37% | 14,300 | 5 | 340 |
Full post content Every marketing leader should spend one day per month doing IC work.
Write a blog post. Run an ad campaign. Analyze a funnel. Build a landing page.
Why? Because the gap between 'what leaders think the work is' and 'what the work actually is' grows every month you're away from it.
Especially now with AI changing workflows so fast, if you haven't done the hands-on work recently, your strategic direction is based on outdated assumptions.
Stay close to the craft.
View on LinkedIn → | |||||||
| 8 | +End of Q2 reflection: what worked and what flopped in my content this quarter... | Jun 26 | 15,800 | 68%/32% | 10,100 | 3 | 210 |
Full post content End of Q2 reflection: what worked and what flopped in my content this quarter.
Worked:
- Breaking news + my take (3 of my top 5 posts were reactive)
- Numbered lists with specific examples
- Contrarian takes with data to back them up
Flopped:
- 'Inspirational' posts without substance
- Threads (people don't scroll like they used to)
- Posts longer than 150 words on complex topics
Biggest learning: my audience wants actionable insights in under 60 seconds of reading time. Anything longer needs to earn its length with a great hook.
View on LinkedIn → | |||||||
| # | Post | Date | Impr. | In/Out | Reached | Fol. | Eng. |
|---|---|---|---|---|---|---|---|
| 1 | +🔥H2 2026 marketing predictions: 5 things I'm betting on... | Jul 1 | 85,200 | 37%/63% | 59,800 | 41 | 1,460 |
Full post content H2 2026 marketing predictions: 5 things I'm betting on.
1. AI-generated video ads will outperform human-made for performance campaigns (not brand)
2. At least 3 major brands will hire 'AI Marketing Engineers' as C-suite direct reports
3. Google will lose 5%+ search market share to AI assistants
4. The 'creator as brand' model will eclipse traditional influencer marketing
5. Marketing teams that adopted AI agents in H1 will show 30%+ productivity gains
Remind me in December how I did.
View on LinkedIn → | |||||||
| 2 | +The most underrated marketing channel in 2026 is your product itself... | Jul 3 | 38,400 | 50%/50% | 25,600 | 14 | 620 |
Full post content The most underrated marketing channel in 2026 is your product itself.
Product-led growth isn't new. But product-led MARKETING is.
The best companies are turning their product into a content engine:
- Spotify Wrapped → 60M social shares
- Duolingo's notifications → viral memes
- Notion templates → organic distribution
Your product has a built-in audience of users. Every feature, email, and UI element is a marketing surface.
Stop treating marketing as something that happens outside the product.
View on LinkedIn → | |||||||
| 3 | +Monday motivation: You don't need permission to be a marketing leader... | Jul 7 | 24,600 | 57%/43% | 16,200 | 6 | 380 |
Full post content Monday motivation: You don't need permission to be a marketing leader.
You don't need the title. You don't need the budget. You don't need the team.
You need one thing: a point of view backed by action.
Share what you're learning. Build things in public. Help others solve problems.
Leadership is earned through impact, not appointed through org charts. Especially in this era where one person with AI can outproduce a team of 10.
Start leading before anyone asks you to.
View on LinkedIn → | |||||||
Top 10 posts ranked by different metrics. 🔥 = viral (>50% out-of-network reach).
| # | Post | Month | Impressions |
|---|---|---|---|
| 1 | +🔥Breaking: Google just announced the death of traditional search results... | Jun 26 | 205,800 |
Full post content Breaking: Google just announced the death of traditional search results.
Starting Q3 2026, AI Overviews will be the default for 80% of queries. Traditional blue links move below the fold.
What this means for marketers:
- SEO as we know it is fundamentally changed
- Content needs to be 'AI-citation worthy' not just 'rankable'
- Brand mentions across the web matter more than backlinks
- Direct traffic and owned audiences are your hedge
The companies that prepared for this are already seeing results. The ones that didn't are about to have a very rough quarter.
I've been talking about this shift for a year. It's here. | |||
| 2 | +🔥I've been building with AI every day for 18 months. Here's my honest review... | May 26 | 178,500 |
Full post content I've been building with AI every day for 18 months. Here's my honest review.
The good:
- I ship 5x faster than I used to
- I can prototype ideas in hours, not weeks
- I've learned skills I never thought I'd have (coding, data analysis, design)
The bad:
- I sometimes trust AI output without verifying
- It's addictive — I reach for AI before thinking
- The quality ceiling is real — AI gets you to 80%, the last 20% is all you
The ugly:
- I've published content I later realized was partially wrong because I didn't fact-check
- Some of my best 'original' ideas turned out to be things AI had synthesized from others
Net assessment: AI is the biggest productivity leap of my career. But it requires more discipline, not less. | |||
| 3 | +🔥The one skill every marketer needs in 2026 isn't what you think... | Apr 26 | 142,300 |
Full post content The one skill every marketer needs in 2026 isn't what you think.
It's not prompting. It's not AI strategy. It's not even data analysis.
It's storytelling.
Here's why: AI can generate content at scale. But it can't tell YOUR story. The marketers winning right now are the ones who combine AI speed with human narrative.
5 ways to sharpen your storytelling:
1. Start with a personal moment, not a stat
2. Use specific details (names, dates, numbers)
3. Create tension before resolution
4. Write like you talk
5. End with one clear takeaway
The best content in 2026 won't be the most polished. It'll be the most human. | |||
| 4 | +🔥Stop measuring what's easy to measure. Start measuring what matters... | Jun 26 | 112,300 |
Full post content Stop measuring what's easy to measure. Start measuring what matters.
Easy to measure: impressions, clicks, open rates, followers
Hard to measure: brand awareness, purchase intent, customer trust, word of mouth
Guess which group actually drives revenue?
The metrics trap: we optimize for what our tools can track, not for what our customers care about.
Three ways to break free:
1. Run quarterly brand surveys (even simple ones)
2. Track 'dark social' — ask 'how did you hear about us?' on every form
3. Measure time-to-value, not just conversion rate | |||
| 5 | +🔥The creator economy is dead. The builder economy is here... | May 26 | 95,400 |
Full post content The creator economy is dead. The builder economy is here.
Creators made content. Builders make products.
The shift: instead of monetizing attention (ads, sponsors, courses), the new generation monetizes utility (tools, templates, workflows, micro-SaaS).
Why? Because AI made content abundant but made building accessible. A marketer who can build a tool for their audience is worth 10x a marketer who can write a thread.
The builder economy rewards people who solve problems, not people who get views. | |||
| 6 | +🔥I asked 50 CMOs what keeps them up at night. The #1 answer surprised me... | Apr 26 | 89,750 |
Full post content I asked 50 CMOs what keeps them up at night. The #1 answer surprised me.
It wasn't budget cuts. It wasn't AI replacing their teams. It wasn't attribution.
It was: 'I don't know if my team has the right skills for what's coming.'
73% said they're restructuring their marketing org in the next 12 months.
The shift isn't about fewer people. It's about different people.
Roles growing: AI-augmented content strategists, growth engineers, community builders.
Roles shrinking: Traditional campaign managers, manual analysts, generic content writers.
If you're in marketing, the question isn't whether your role will change. It's whether you'll drive that change or react to it. | |||
| 7 | +🔥H2 2026 marketing predictions: 5 things I'm betting on... | Jul 26 | 85,200 |
Full post content H2 2026 marketing predictions: 5 things I'm betting on.
1. AI-generated video ads will outperform human-made for performance campaigns (not brand)
2. At least 3 major brands will hire 'AI Marketing Engineers' as C-suite direct reports
3. Google will lose 5%+ search market share to AI assistants
4. The 'creator as brand' model will eclipse traditional influencer marketing
5. Marketing teams that adopted AI agents in H1 will show 30%+ productivity gains
Remind me in December how I did. | |||
| 8 | +🔥I built a complete marketing analytics dashboard in 2 hours using Claude... | May 26 | 73,800 |
Full post content I built a complete marketing analytics dashboard in 2 hours using Claude.
No code experience needed. No BI tools. No data engineering team.
Just me, my LinkedIn data, and an AI that could:
1. Scrape my analytics
2. Structure the data
3. Build interactive charts
4. Package it as a self-contained HTML file
This is what I mean when I say AI changes the marketing skill set. You don't need to know how to code. You need to know what to build.
Tutorial coming to my Substack this week. | |||
| 9 | +🔥The LinkedIn algorithm in June 2026: what's changed and what hasn't... | Jun 26 | 68,400 |
Full post content The LinkedIn algorithm in June 2026: what's changed and what hasn't.
What's changed:
- Carousel and document posts are getting 40% less reach than 6 months ago
- Text-only posts with strong hooks are back on top
- Comments from your network matter more than reactions from strangers
- Posting frequency sweet spot moved from 5x/week to 3-4x/week
What hasn't changed:
- First hour engagement still determines reach
- Personal stories outperform corporate content
- Consistency beats virality
- The algorithm rewards conversations, not broadcasts
Adapt your strategy accordingly. | |||
| 10 | +Hot take: Most marketing dashboards are vanity projects... | Apr 26 | 67,200 |
Full post content Hot take: Most marketing dashboards are vanity projects.
I've seen teams spend weeks building beautiful dashboards that nobody looks at after the first meeting.
Here's what actually works:
- Track 3 metrics, not 30
- Update weekly, not real-time
- Include the 'so what' next to every number
- Make it ugly but useful
The best dashboard I ever built was a Google Sheet with conditional formatting. The worst was a $50K BI tool that took 6 months to implement.
Simplicity wins. | |||
| # | Post | Month | Engagements |
|---|---|---|---|
| 1 | +🔥Breaking: Google just announced the death of traditional search results... | Jun 26 | 3,850 |
Full post content Breaking: Google just announced the death of traditional search results.
Starting Q3 2026, AI Overviews will be the default for 80% of queries. Traditional blue links move below the fold.
What this means for marketers:
- SEO as we know it is fundamentally changed
- Content needs to be 'AI-citation worthy' not just 'rankable'
- Brand mentions across the web matter more than backlinks
- Direct traffic and owned audiences are your hedge
The companies that prepared for this are already seeing results. The ones that didn't are about to have a very rough quarter.
I've been talking about this shift for a year. It's here. | |||
| 2 | +🔥I've been building with AI every day for 18 months. Here's my honest review... | May 26 | 3,200 |
Full post content I've been building with AI every day for 18 months. Here's my honest review.
The good:
- I ship 5x faster than I used to
- I can prototype ideas in hours, not weeks
- I've learned skills I never thought I'd have (coding, data analysis, design)
The bad:
- I sometimes trust AI output without verifying
- It's addictive — I reach for AI before thinking
- The quality ceiling is real — AI gets you to 80%, the last 20% is all you
The ugly:
- I've published content I later realized was partially wrong because I didn't fact-check
- Some of my best 'original' ideas turned out to be things AI had synthesized from others
Net assessment: AI is the biggest productivity leap of my career. But it requires more discipline, not less. | |||
| 3 | +🔥The one skill every marketer needs in 2026 isn't what you think... | Apr 26 | 2,140 |
Full post content The one skill every marketer needs in 2026 isn't what you think.
It's not prompting. It's not AI strategy. It's not even data analysis.
It's storytelling.
Here's why: AI can generate content at scale. But it can't tell YOUR story. The marketers winning right now are the ones who combine AI speed with human narrative.
5 ways to sharpen your storytelling:
1. Start with a personal moment, not a stat
2. Use specific details (names, dates, numbers)
3. Create tension before resolution
4. Write like you talk
5. End with one clear takeaway
The best content in 2026 won't be the most polished. It'll be the most human. | |||
| 4 | +🔥Stop measuring what's easy to measure. Start measuring what matters... | Jun 26 | 2,100 |
Full post content Stop measuring what's easy to measure. Start measuring what matters.
Easy to measure: impressions, clicks, open rates, followers
Hard to measure: brand awareness, purchase intent, customer trust, word of mouth
Guess which group actually drives revenue?
The metrics trap: we optimize for what our tools can track, not for what our customers care about.
Three ways to break free:
1. Run quarterly brand surveys (even simple ones)
2. Track 'dark social' — ask 'how did you hear about us?' on every form
3. Measure time-to-value, not just conversion rate | |||
| 5 | +🔥The creator economy is dead. The builder economy is here... | May 26 | 1,890 |
Full post content The creator economy is dead. The builder economy is here.
Creators made content. Builders make products.
The shift: instead of monetizing attention (ads, sponsors, courses), the new generation monetizes utility (tools, templates, workflows, micro-SaaS).
Why? Because AI made content abundant but made building accessible. A marketer who can build a tool for their audience is worth 10x a marketer who can write a thread.
The builder economy rewards people who solve problems, not people who get views. | |||
| 6 | +🔥I asked 50 CMOs what keeps them up at night. The #1 answer surprised me... | Apr 26 | 1,580 |
Full post content I asked 50 CMOs what keeps them up at night. The #1 answer surprised me.
It wasn't budget cuts. It wasn't AI replacing their teams. It wasn't attribution.
It was: 'I don't know if my team has the right skills for what's coming.'
73% said they're restructuring their marketing org in the next 12 months.
The shift isn't about fewer people. It's about different people.
Roles growing: AI-augmented content strategists, growth engineers, community builders.
Roles shrinking: Traditional campaign managers, manual analysts, generic content writers.
If you're in marketing, the question isn't whether your role will change. It's whether you'll drive that change or react to it. | |||
| 7 | +🔥H2 2026 marketing predictions: 5 things I'm betting on... | Jul 26 | 1,460 |
Full post content H2 2026 marketing predictions: 5 things I'm betting on.
1. AI-generated video ads will outperform human-made for performance campaigns (not brand)
2. At least 3 major brands will hire 'AI Marketing Engineers' as C-suite direct reports
3. Google will lose 5%+ search market share to AI assistants
4. The 'creator as brand' model will eclipse traditional influencer marketing
5. Marketing teams that adopted AI agents in H1 will show 30%+ productivity gains
Remind me in December how I did. | |||
| 8 | +🔥I built a complete marketing analytics dashboard in 2 hours using Claude... | May 26 | 1,340 |
Full post content I built a complete marketing analytics dashboard in 2 hours using Claude.
No code experience needed. No BI tools. No data engineering team.
Just me, my LinkedIn data, and an AI that could:
1. Scrape my analytics
2. Structure the data
3. Build interactive charts
4. Package it as a self-contained HTML file
This is what I mean when I say AI changes the marketing skill set. You don't need to know how to code. You need to know what to build.
Tutorial coming to my Substack this week. | |||
| 9 | +🔥AI just changed the SEO game again. Here's what happened... | Apr 26 | 1,120 |
Full post content AI just changed the SEO game again. Here's what happened.
Google's latest update is prioritizing 'experience signals' over traditional ranking factors. This means:
- First-hand experience content ranks higher
- Generic AI-written articles are getting demoted
- User engagement metrics matter more than ever
The irony: AI made it easier to create content, but Google is now rewarding content that AI can't easily create.
The winners will be creators who use AI for research and distribution, but bring genuine expertise to the content itself. | |||
| 10 | +🔥The LinkedIn algorithm in June 2026: what's changed and what hasn't... | Jun 26 | 1,050 |
Full post content The LinkedIn algorithm in June 2026: what's changed and what hasn't.
What's changed:
- Carousel and document posts are getting 40% less reach than 6 months ago
- Text-only posts with strong hooks are back on top
- Comments from your network matter more than reactions from strangers
- Posting frequency sweet spot moved from 5x/week to 3-4x/week
What hasn't changed:
- First hour engagement still determines reach
- Personal stories outperform corporate content
- Consistency beats virality
- The algorithm rewards conversations, not broadcasts
Adapt your strategy accordingly. | |||
| # | Post | Month | Out-of-Network |
|---|---|---|---|
| 1 | +🔥Breaking: Google just announced the death of traditional search results... | Jun 26 | 80% |
Full post content Breaking: Google just announced the death of traditional search results.
Starting Q3 2026, AI Overviews will be the default for 80% of queries. Traditional blue links move below the fold.
What this means for marketers:
- SEO as we know it is fundamentally changed
- Content needs to be 'AI-citation worthy' not just 'rankable'
- Brand mentions across the web matter more than backlinks
- Direct traffic and owned audiences are your hedge
The companies that prepared for this are already seeing results. The ones that didn't are about to have a very rough quarter.
I've been talking about this shift for a year. It's here. | |||
| 2 | +🔥I've been building with AI every day for 18 months. Here's my honest review... | May 26 | 78% |
Full post content I've been building with AI every day for 18 months. Here's my honest review.
The good:
- I ship 5x faster than I used to
- I can prototype ideas in hours, not weeks
- I've learned skills I never thought I'd have (coding, data analysis, design)
The bad:
- I sometimes trust AI output without verifying
- It's addictive — I reach for AI before thinking
- The quality ceiling is real — AI gets you to 80%, the last 20% is all you
The ugly:
- I've published content I later realized was partially wrong because I didn't fact-check
- Some of my best 'original' ideas turned out to be things AI had synthesized from others
Net assessment: AI is the biggest productivity leap of my career. But it requires more discipline, not less. | |||
| 3 | +🔥The one skill every marketer needs in 2026 isn't what you think... | Apr 26 | 72% |
Full post content The one skill every marketer needs in 2026 isn't what you think.
It's not prompting. It's not AI strategy. It's not even data analysis.
It's storytelling.
Here's why: AI can generate content at scale. But it can't tell YOUR story. The marketers winning right now are the ones who combine AI speed with human narrative.
5 ways to sharpen your storytelling:
1. Start with a personal moment, not a stat
2. Use specific details (names, dates, numbers)
3. Create tension before resolution
4. Write like you talk
5. End with one clear takeaway
The best content in 2026 won't be the most polished. It'll be the most human. | |||
| 4 | +🔥Stop measuring what's easy to measure. Start measuring what matters... | Jun 26 | 70% |
Full post content Stop measuring what's easy to measure. Start measuring what matters.
Easy to measure: impressions, clicks, open rates, followers
Hard to measure: brand awareness, purchase intent, customer trust, word of mouth
Guess which group actually drives revenue?
The metrics trap: we optimize for what our tools can track, not for what our customers care about.
Three ways to break free:
1. Run quarterly brand surveys (even simple ones)
2. Track 'dark social' — ask 'how did you hear about us?' on every form
3. Measure time-to-value, not just conversion rate | |||
| 5 | +🔥I built a complete marketing analytics dashboard in 2 hours using Claude... | May 26 | 68% |
Full post content I built a complete marketing analytics dashboard in 2 hours using Claude.
No code experience needed. No BI tools. No data engineering team.
Just me, my LinkedIn data, and an AI that could:
1. Scrape my analytics
2. Structure the data
3. Build interactive charts
4. Package it as a self-contained HTML file
This is what I mean when I say AI changes the marketing skill set. You don't need to know how to code. You need to know what to build.
Tutorial coming to my Substack this week. | |||
| 6 | +🔥The creator economy is dead. The builder economy is here... | May 26 | 65% |
Full post content The creator economy is dead. The builder economy is here.
Creators made content. Builders make products.
The shift: instead of monetizing attention (ads, sponsors, courses), the new generation monetizes utility (tools, templates, workflows, micro-SaaS).
Why? Because AI made content abundant but made building accessible. A marketer who can build a tool for their audience is worth 10x a marketer who can write a thread.
The builder economy rewards people who solve problems, not people who get views. | |||
| 7 | +🔥We're entering the age of 'agentic marketing.' Here's what that means... | Jun 26 | 64% |
Full post content We're entering the age of 'agentic marketing.' Here's what that means.
Today: Marketers use AI as a tool (write this, analyze that, generate this image)
Tomorrow: AI agents run campaigns end-to-end while marketers set strategy and guardrails
What agentic marketing looks like:
- An agent monitors your analytics daily and flags anomalies
- An agent creates, tests, and optimizes ad creative automatically
- An agent manages your content calendar and publishes based on performance data
- An agent handles lead scoring and routing without human intervention
The marketer's job becomes: set objectives, define constraints, review results, course-correct.
This isn't 5 years away. Teams are building this now. | |||
| 8 | +🔥H2 2026 marketing predictions: 5 things I'm betting on... | Jul 26 | 63% |
Full post content H2 2026 marketing predictions: 5 things I'm betting on.
1. AI-generated video ads will outperform human-made for performance campaigns (not brand)
2. At least 3 major brands will hire 'AI Marketing Engineers' as C-suite direct reports
3. Google will lose 5%+ search market share to AI assistants
4. The 'creator as brand' model will eclipse traditional influencer marketing
5. Marketing teams that adopted AI agents in H1 will show 30%+ productivity gains
Remind me in December how I did. | |||
| 9 | +🔥AI just changed the SEO game again. Here's what happened... | Apr 26 | 62% |
Full post content AI just changed the SEO game again. Here's what happened.
Google's latest update is prioritizing 'experience signals' over traditional ranking factors. This means:
- First-hand experience content ranks higher
- Generic AI-written articles are getting demoted
- User engagement metrics matter more than ever
The irony: AI made it easier to create content, but Google is now rewarding content that AI can't easily create.
The winners will be creators who use AI for research and distribution, but bring genuine expertise to the content itself. | |||
| 10 | +🔥The marketing team of the future has 5 people, not 50... | Apr 26 | 58% |
Full post content The marketing team of the future has 5 people, not 50.
Here's the team:
1. Strategist/GM — owns the number, sets direction
2. Content engine — one person + AI creating 10x output
3. Growth engineer — builds funnels, automates workflows, runs experiments
4. Community builder — owns relationships, partnerships, advocacy
5. Data analyst — measures what matters, kills what doesn't
Every other function gets automated, outsourced, or absorbed into these five roles.
Controversial? Maybe. But I'm already seeing this structure work at AI-native startups. | |||