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In today’s newsletter,
100+ ChatGPT Prompts to Revolutionize Your Day
Your fulfillment provider isn't the problem. Your fulfillment model might be.
How brands are hitting page 1 on Amazon in 60 days
Attio - the AI CRM for modern businesses.
While You Were Building
1.Aerie's no-AI creator program is oversubscribed
2.Inflation just outpaced wages again
3.Telehealth DTCs are launching AI agents
AI Launch Codes: Before You Pay an Influencer, Check If Their Audience Actually Buys
This issue takes 2 minutes to read.
Check out our DTC tool stack here
Let’s dive into it👇
Free Resource
100+ ChatGPT Prompts to Revolutionize Your Day
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.
Fulfillment Friday
Your fulfillment provider isn't the problem. Your fulfillment model might be.
Most brands end up with their fulfillment provider the way they end up with their accountant — someone in a founder group mentioned it, it worked well enough, and changing felt like a project nobody had time for.
When volume grows and new channels get added, the first assumption is usually that the provider is slipping. Sometimes that's right.
More often they're doing exactly what they were set up to do, just for a brand a fraction of the current size. The frustration is real, but the problem is usually structural.
There are three types of fulfillment providers in the US right now that fit different growth stages:
3PLs — own their own facilities. Reliable and consistent, but slow to adjust when your needs change or when you expand to a new market.
Best for single market fulfillment
4PLs — manages your entire logistics program on your behalf. Good if you're scaling across markets and don't want to rebuild your setup every time you grow.
Best for multiple market fulfillment
Tech-enabled platforms — easy to plug in, simple pricing, clean software. Work well early on, but most brands outgrow them once order volume picks up.
Best for startups
None of them are the wrong choice. They just fit different stages.
We did a research study on the US fulfillment landscape and put together a free report on how brands can figure out which model fits where they are now, and what switching actually involves when it's time.
This guest post is written by Nick Bartlett, Co-Founder @ Wayfindr — Global ecommerce logistics for ambitious brands.
Influencer Marketing
How brands are hitting page 1 on Amazon in 60 days
Prime Day is coming.
The brands that win it are not the ones bidding higher on Amazon ads - they are the ones with social proof, rank, and external traffic stacked before the event.
Stack Influence is how Martha Stewart, Unilever, and thousands of DTC brands get there.
Our AI matches your product with vetted micro-influencers from a network of 11M+ creators.
They buy your product on Amazon, post authentic UGC, and drive external traffic that lifts your rank - with no upfront creator fees.
Brands have hit #1 page positioning in two months and grown monthly revenue up to 13X.
Sign up this week and save 10%.
Attio - the AI CRM for modern businesses.
Attio is the AI CRM that keeps you ten steps ahead.
Ask Attio anything. Where should I focus? What deals are at risk? Search, update, and create across your customer data.
Ask more from CRM. Ask Attio.
While You Were Building
1.Aerie's no-AI creator program is oversubscribed
Aerie banned generative AI in its new nano-creator program. Thousands applied. Authenticity is becoming a positioning lever.
via Modern Retail • Read more
2.Inflation just outpaced wages again
First time in three years. Inflation hit 3.8%. The era of consumers continuing to spend — even in the face of economic uncertainty and price hikes — may be over.
via Retail Dive • Read more
3.Telehealth DTCs are launching AI agents
Hims & Hers debuted an AI agent for weight-loss customers on its Q1 call. Telehealth is pivoting from products to journeys.
via Modern Retail • Read more
Picking the wrong influencer is an expensive mistake.
Before You Pay an Influencer, Check If Their Audience Actually Buys
You can pay for the post, send the product, wait for the content, and still get nothing but likes from people who were never going to buy.
That is the real risk with influencer marketing. Not whether the creator has followers. Whether they actually influence those followers.
The two questions that matter before a collab are simple:
Does this influencer have real influence over their audience?
And:
Does this audience show high buying intent?
Brands try to answer that by looking at views, likes, follower count, and engagement rate. But those numbers do not show whether people trust the creator enough to act.
Lets take this creator for example.
If you were to sign her up, will her followers actually buy your product?
I built a workflow to answer this exact question with Claude:
First I gave Claude 5 of her latest posts and asked it to pull every comment using a scraper tool that i have connected.
Then it ran through analysis on the 898 comments it managed to pull
Claude did a complete buying intent breakdown
Lastly it gave me a verdict based on its analysis.
I ran this analysis on one influencer using her last 5 posts.
But the same workflow can scale across hundreds of influencers and as many past posts as you want to analyze.
If you are planning to spend thousands of dollars on influencer collabs, this workflow can save you from picking the wrong people.
Because the expensive mistake is not paying an influencer.
The expensive mistake is paying an influencer whose audience was never going to buy.
The complete workflow, prompt and the scraper tool is below:
Step 1 - Connect the scraper to Claude
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