Scaling D2C brands by creating scroll-stopping direct-response creatives | Get ads that lower your CAC and increase ROAS | If you're an E-commerce business spending Rs 1L/-3L/month on paid socials let's have a chat

I help brands scale revenue through high-converting content.For the past 3 years, I've been building content systems that turn production chaos into predictable growth.

HERE'S WHAT WE DO:

📹 FULL-STACK CONTENT PRODUCTION
We're your extended content team—handling everything from strategy to final delivery. UGC ads, organic content, explainer videos, podcasts, AI-powered ads. One team, zero bottlenecks.

Our process: Deep research → Strategic planning → Full production → Professional editing → Performance analysis → Iteration.

🎯 PERFORMANCE-FIRST APPROACH
We're not just creatives -we're performance marketers who create content. Every piece is built to convert, not just look pretty. 

We've helped D2C, fintech, and e-commerce brands scale by treating content like paid campaigns: hypothesis-driven, data-backed, ROI-focused.

BY THE NUMBERS:

- $10M+ in revenue driven via content
- 3000+ videos produced
- 40%+ creative win rate (2x industry average)
- 200+ creator network
- 100+ brands scaled

WHO WE WORK WITH:
Brands who are serious about scaling with content. D2C, fintech, e-commerce, SaaS.

If you're tired of piecing together content from 5 different vendors and want a reliable team that delivers - let's talk :)

Sanskar Saxena

I'm actively looking to partner with a killer AI Visuals & AI Ads Partner. Basically someone who lives and breathes AI visuals and AI-powered ads.

If you can:
 • Create high-quality AI visuals & ad creatives
 • Move FAST (tight turnarounds are non-negotiable)
 • Understand performance-driven ads, not just pretty images
 • Maintain consistent quality at scale

…this could be a long-term collaboration, not a one-off gig.

This is ideal for someone who wants to work closely with a growing creative/marketing team and build something meaningful together — not just deliver files and disappear.

What I'm looking for:
 – Strong AI image & ad creation skills (Gemini / Higgsfield / GenAI workflows, etc.)
 – Taste for modern, scroll-stopping ad creatives
 – Reliability, speed, and ownership
 – Long-term mindset over short-term freelancing

DM me your portfolio or tag someone who’d be a perfect fit

Full-Stack Content Production Partner For DTC and SaaS Brands | We Ideate, Script, Shoot & Edit Scroll-Stopping Video Content For Your Brand That Converts | Ensuring Sweet Dream For CMOs & Content Teams

🚨 Hiring: 2 Freelance Meta Ads Creative Strategist 🚨

I’m looking to partner with a performance-first Creative Strategist across multiple projects spanning DTC and SaaS brands.

This is not a one-off gig. I’m building a bench of killers I can consistently collaborate with.

What you’ll actually do: 

👉 You can write high-converting performance scripts (UGC, founder ads, problem-solution, comparison, demo, testimonial, data-led, etc.)

👉 You think in angles, hooks, and hypotheses, not just “content ideas”

👉 You can own projects end-to-end — from insight → concept → script → creative brief → execution feedback

👉 You understand creative testing across cold / warm / retargeting

This is for someone who:

👉 Has actually scaled ad accounts through creatives

👉 Understands performance metrics and what makes people convert

👉 Can balance AI tools intelligently without becoming dependent on them

👉 Thinks strategically about differentiation, not just trends

We’re not anti-AI (we use it smartly), but we need someone who knows how and when to use it, who understands positioning, messaging, and real differentiation, and who can think strategically not just regurgitate prompts. 

Compensation: 

Project-based + % of ad performance bonuses. We love working with people who are hungry to grow and as we scale, your pay scales. No ceiling.

If you’re interested:
📩 DM me your best work / portfolio 
 Or tag someone who would be a strong fit.

Joe Nilsen

Machine Learning Engineer 🤖 Revolutionizing E-Commerce with AI

The AI conversation in e-commerce has been hijacked.By people who've never shipped a product. By "experts" who discovered LLMs last year and now talk like they invented them. By creators recycling the same surface-level garbage with a fresh screenshot.They're loud. They're everywhere. And they're getting real operators burned.I've spent 15 years in the Amazon trenches. Built and exited two brands. Architected the systems behind TraceFuse, Seller Strategies, and Selletek.Now I deploy AI inside real operations while the influencers are still workshopping their next thread about it.I'm not here to add noise. I'm here to end it.What I share is the operational reality of AI that nobody else will show you. What to automate and what to never touch. Workflows that hold up under real volume. The mistakes that sink teams. What's working now versus what's already dead.No fluff. No theory. No "exciting updates coming soon."If it isn't deployed, it doesn't exist.

Founder

Our vision is to make the world a more connected place through the art of cooking and passion for food. The platform was launched in 2015 and was built upon challenging the status quo. Over the years, Culinary Connect evolved into a movement celebrating cooking, food, and love. These core principles are the cornerstone of what the modern-day brand is built upon.

Amazon sellers have a goldmine in their accounts and never touch it.

Reviews are not "feedback."

They are a searchable, structured map of:

- what customers actually notice
- what they hate
- what language they use
- what competitors are getting away with

We built a Google Sheet that scrapes reviews without having the user touch any code.

 1. Add ASINs.
 2. Select star ratings.
 3. Add keyword filters.
 4. Run it from a menu inside the sheet.

Powered by Apify, so it scales.

I'm giving the sheet away to anyone who wants it.

Reviews are the cheapest customer research you will ever get.

You don’t need better ideas.

You need better extraction.

Dive in.

Screenshot showing the Google Sheet Amazon review scraper and showing users how to use it.

Amazon gurus are teaching AI image shortcuts that don't work in real catalogs.

The prompt template pitch goes like this: Here's a prompt. Copy it. Paste it. Get professional images in minutes. Save $2000 on photography.

That's the fantasy. Here's the reality.

I've been generating AI images for e-commerce since the day each image model was released. The learning curve is steep. Don't let anybody tell you different.

What actually makes it work:

→ Context files. You need to tell the model what your brand looks like, what you've done before, and what your competitors are doing wrong.

→ Example libraries. The more reference images you feed it, the faster it understands what you want. This takes time to build.

→ Specification depth. "Make it look professional" gets you garbage. "White background, 45-degree angle, soft shadow, lifestyle context showing kitchen counter with morning light" gets you usable output.

The upfront investment is real. Hours of setup before you get anything worth posting.

But here's where it flips.

Once you've built the context, once the model knows your brand, iteration drops from hours to minutes. What used to take a photoshoot takes a prompt.

That $2000 in savings is real. But only after you've built the skills and context that make it possible. Not some 8-page SOP.

The shortcuts don't exist.

I don’t follow AI trends in e-commerce. I create them.

Illustrated image of a man at a conference podium wearing a t-shirt that says "AI expert" with an exaggerated surprised expression and gesturing hands. The image is intentionally AI-generated with visible artifacts, including slightly distorted hand proportions and an overly stylized cartoon appearance. A blurred presentation screen and audience members are visible in the background. The image satirizes self-proclaimed AI experts teaching e-commerce sellers shortcuts for AI image generation that require significant skill and context-building to actually execute well.

"Amazon AI Experts" are celebrating basic MCP connections as if they'd just split the atom.

Over the last three months, we've deployed 40 Claude automations across the brands we partner with.

33 are still running in production.

The 7 that failed taught us more than any $900 course or summit ever could.

Connecting two APIs isn't engineering. It's page one of the documentation. It's the tutorial. Not the product.

Amazon AI that wins engagement on LinkedIn and gets applause at keynotes rarely reflects reality.

Here is what applied AI actually looks like in the wild:

• The Compliance Warden: Flags suppression risks before Amazon's bots wake up.

• The Review Miner: Scrapes reviews to find (and inject) the exact language buyers use.

• The PPC Sniper: Audits spend daily and tells us exactly where to cut budget.

• The Watchdog: Alerts us the moment a competitor shifts strategy.

Not concepts. Production systems doing the dirty work.

The difference between a Guru and a Builder is simple: One looks good on a slide deck. The other prints time and money.

This is the work that doesn’t fit into a 45-minute talk.

Comment "RIPOFF" and I'll send you a link to my $5,000 Mastermind where I read this post out loud.

Satirical cartoon illustration showing 12 caricatures of stereotypical Amazon and AI influencer personas with titles like Dr. Chip Silicon Amazon AI Expert, Guru Gary Prime AI Strategist, Tech Bro Tony Image Generation Expert, and Nancy Neural Deep Learning Diva, each wearing branded merchandise and holding coffee mugs, representing the gap between LinkedIn AI gurus and actual practitioners who build production systems

Amazon PPC agencies that sell campaign builds and bid tweaks will be obsolete by this time next year.

Not disrupted.
Obsolete.

For the last few years, AI has been helpful, not better than a sharp human.

That window is closing.

PPC “management” is thousands of micro-decisions:
- bids
- negatives
- pacing
- query mining
- restructures
- anomaly detection

Humans cannot keep up with the speed and consistency of machines across dozens of accounts.

Half of them are already rebranding as AI strategists.

Expect a flood of new “Amazon AI gurus” claiming they can enlighten the space.

Same deliverable.
New label.

The survivors will not be PPC agencies.

They will be systems teams that own the growth loop:

- CRO that lifts conversion rate
- Creative throughput
- Measurement tied to margin and inventory
- Budget forecasting and guardrails
- Query data feeding, listing, and offer decisions

If the value is clicking buttons in Ads Console, it’s over.

3D cartoon of a wide-eyed office worker pulling open his shirt like a superhero reveal, showing a blue undershirt that reads “amazon AI expert,” sitting at a messy desk with papers and a box labeled “PPC AGENCY” in the background.

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The Battle

Sanskar Saxena

Joe Nilsen

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Performance ScoreSanskar Saxena's LinkedIn Performance

Performance ScoreJoe Nilsen's LinkedIn Performance

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taplio

The Battle

Sanskar Saxena

Joe Nilsen

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Sanskar Saxena's LinkedIn Performance

Performance ScoreJoe Nilsen's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreSanskar Saxena's LinkedIn Performance