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Good morning!

In today’s newsletter,

  1. How one CEO turned a single treatment room into a market leader

  2. How to set up Stars on Facebook (and why it's the most accessible monetization option)

  3. How to build a listicle landing page from reviews

  4. 100+ ChatGPT Prompts to Revolutionize Your Day by HubSpot

  5. While You Were Building

    1.FDA clears first new SPF filter since 1999

    2.GLP-1 demand strains global whey supply

    3.Connecticut becomes second state to ban personalized pricing

  6. AI Launch Codes: Your AI Never Finds Out If It Was Right

This issue takes 2 minutes to read.

Check out our DTC tool stack here

Let’s dive into it👇

Business Growth

How one CEO turned a single treatment room into a market leader

What does it take to turn a small startup into an industry-leading company?

In this inspiring member story, Dan Rootenberg shares how he transformed Spear Physical Therapy from a single treatment room into New York’s leading physical therapy brand.

Along the way, he learned that sustainable growth requires more than hard work. It requires the right structure, culture and leadership.

Discover how Vistage peer advisory helped Dan navigate pivotal business decisions, lead through uncertainty and build a company that achieved 50x growth while staying true to its values. His journey offers valuable lessons for CEOs looking to scale their business, strengthen their leadership and create lasting success.

Founder Resources

Building something? Here are a few ways we can help:

The Founder Community
We’re building an exclusive paid community for like-minded founders, operators, and builders to connect, help each other, bounce ideas, share learnings, and grow together. The first 50 people on the waitlist will get to join for free as founding members and help shape what the community becomes.
CTA: Join the Founder Waitlist

Agency Partner Match
Need help with design, development, marketing, content, paid ads, growth, branding, or something else? Our community of 41,201 founders, operators, and builders gives us access to a strong network of trusted service providers across all budgets. Tell us what you need, and we’ll try to connect you with the right agency or freelancer.
CTA: Get Matched With an Agency

Founder Tech Stack
Explore our curated list of useful tools, software, and offers to help founders save time, launch faster, and grow smarter.
CTA: Explore the Founder Tech Stack

Meta

How to set up Stars on Facebook (and why it's the most accessible monetization option)

Stars are Facebook's tipping feature. Fans buy them and send them to creators during live streams, on reels, and on other content.

For every Star you receive, Meta pays you $0.01. Five thousand Stars is $50.

It's not going to replace your income. But the barrier to entry is lower than any other native monetization option on the platform — you need 500 followers for 30 consecutive days. That's it.

It works especially well for creators doing live content — Q&As, tutorials, behind-the-scenes streams — where the audience feels personally connected enough to tip.

To turn it on: go to Creator Studio, select Monetization, then Stars. You'll be prompted to agree to terms and set up a payout account before you can start receiving earnings.

You need to be 18 or older and in an eligible country.

Action Summary:

  • Confirm you have 500 followers for 30 consecutive days

  • Go to Creator Studio, select Monetization, then Stars, and complete the onboarding flow

  • Set up your payout account when prompted during setup

  • Plan a live session — Q&A, tutorial, or behind-the-scenes — where tipping feels natural

Optimization

How to build a listicle landing page from reviews

Most brands send ad traffic straight to a product page. Nick Sharma's argument: there's a step missing. Before you ask someone to buy, you need to get them to care.

A listicle landing page does that job, and it's built almost entirely from content you already have.

Go to your reviews and tally every benefit or feature customers mention. Non-stick and non-toxic? Tally. Easy to clean? Tally. TikTok comments, Reddit threads, and customer service questions are fair game too. Sort by most-mentioned and take the top 5, 7, or 9.

Your headline becomes something like "7 reasons home chefs can't get enough of Caraway cookware." Every two or three benefits, drop a CTA. Pull in actual review quotes as you go, as they support each point and add credibility.

Judge the page by click-through rate to the next page, not conversion.

In his experience, under 30% means it's not working. You're aiming for 40 to 60%. When traffic arrives from the listicle, your conversion rate on the next page should be higher than your site average.

Action Summary:

  • Tally every benefit customers mention in reviews, TikTok comments, Reddit threads, and customer service questions

  • Sort by most-mentioned and take the top 5, 7, or 9

  • Build the page in that order — CTA every 2-3 benefits, review quotes supporting each point

  • Track click-through rate to the next page: under 30% needs work, 40-60% is the target

Free AI Guide

100+ ChatGPT Prompts to Revolutionize Your Day by HubSpot

Discover how you can leverage ChatGPT to boost efficiency, streamline tasks, and stay ahead in your industry. Supercharge your productivity with HubSpot's comprehensive guide.

While You Were Building

1.FDA clears first new SPF filter since 1999

Bemotrizinol is the first UV filter approved for wide US sunscreen use in 26 years. American skincare brands finally get a new active to formulate around.

via Business of FashionRead more

2.GLP-1 demand strains global whey supply

Weight-loss drug users are pushing protein intake higher, fuelling industry concern over a coming whey shortage. Protein-bar, shake, and supplement brands now share a sourcing line with Ozempic users.

via Business of FashionRead more

3.Connecticut becomes second state to ban personalized pricing

Becomes the second state after Maryland to bar retailers from using personally identifiable data to set individual prices. A similar bill sits on the New York governor's desk.

via Retail DiveRead more

Influencer Marketing

Why customer content outperforms polished campaigns

Your best-converting marketing asset is not a polished ad. It is a real customer holding your product on their phone.

Stack Influence turns that into a scalable channel. Our AI matches your product with vetted micro-influencers from a network of 11M+ creators they purchase on Amazon, generate authentic UGC, and drive external traffic that lifts your sales rank. No upfront creator fees, no inflated impression metrics, just real people creating real content you can repurpose everywhere.

Brands like Martha Stewart and Unilever have hit #1 page positioning in two months and grown monthly revenue up to 13X. Average ROAS sits at 5X. Sign up this week and save 10%.

Your AI Never Finds Out If It Was Right

Every week, you run experiments to grow your business.

New ad hooks. Landing page variants. Offers. Discount coupons.

But are your experiments getting better over time?

Human in the Loop

You're using AI everywhere. But look at the system you're actually running:

You ask Claude for ad copy. It gives you 5 hooks. You launch one.

The ad runs for a week. The result comes back.

To you. Not to the AI.

You are the loop. Every outcome routes through your head. You're the memory, the messenger, the bottleneck.

Same with the landing page variant. The offer. The coupon that quietly killed your margin.

So next week you ask for new ideas. It pitches the hook that already died.

You just paid twice for the same lesson. Ad spend, dev time, a week on the calendar.

The AI Growth Loop

Growth loops are the best way to grow a business. Output becomes input. A self-sustaining system that only gets better with time.

Your marketing runs on loops. Your AI runs on a straight line.

Here's the same system, closed:

Every result feeds back in. The AI reads its own track record before it recommends anything.

It stops repeating losers. It builds on winners. A self-improving AI, and you're out of the messenger job.

We run almost 20 experiments a week across ads, landing pages, offers. Every week I'd prompt the AI for new ideas. I'd paste in what happened on the last test. It still wasn't systematically improving.

Then I added one file to the wiki.

Now, before it suggests anything, it checks its own track record. Last week, it stopped me from re-running a discount test. Named the date. Named the number it lost us.

This one file changes everything.

Here's exactly how to build it:

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