Ferenc Fekete

Helping non-tech Founders transform Ideas into SaaS products @ VeryCreatives | Product Agency, SaaS & MVP Development | Startups

I've watched many startup founders fail at the same exact point: turning their validated idea into actual software.

They waste months (or even years):
→ Trying to hire the right developers
→ Burning cash on poor planning and execution
→ Second-guessing every technical decision along the way

Meanwhile, competitors move faster, investors demand traction, and the pressure to deliver keeps building more and more.

After watching this pattern destroy countless promising startups, we built VeryCreatives to fix it.

But here's what makes us different:

We don't just build your MVP and disappear. We're product people who think like founders, not just developers who code to spec.

👉 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻-𝗳𝗶𝗿𝘀𝘁 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵: We start by pressure-testing your assumptions before writing a single line of code. If the market doesn't want it, we'll tell you straight.

👉 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗺𝗶𝗻𝗱𝘀𝗲𝘁 𝗳𝗿𝗼𝗺 𝗱𝗮𝘆 𝗼𝗻𝗲: We build like it's our own startup, obsessing over user experience, scalability, and investor readiness from the first sprint.

👉 𝗙𝗿𝗼𝗺 𝗶𝗱𝗲𝗮 𝘁𝗼 𝗲𝘅𝗶𝘁 𝗮𝗻𝗱 𝗯𝗲𝘆𝗼𝗻𝗱: Whether you're at napkin sketch or Series B, we've been there. We've helped founders go from zero to acquisition, and we stick around for the entire journey.

For the past 14 years, we've built products for venture-backed startups, fast-growing scale-ups, and globally recognized brands like Red Bull, Nestlé, and Philips.

The startups we work with have:
✅ Launched investor-ready MVPs in under 90 days
✅ Secured funding from top-tier investors and VCs
✅ Scaled from first users to thousands of paying customers
✅ Successfully exited to strategic acquirers

Got a SaaS idea that's been sitting in your head for months? 
Let's map out your 90-day path to launch → https://verycreatives.com/book-a-call

Co-Founder

At VeryCreatives, we are a team of expert developers who create powerful SaaS apps that solve problems and drive growth for founders with initial funding. We believe in empowering our clients with innovative software that helps them achieve their goals and stand out in their industry.

Our audience consists of driven and ambitious founders who have just received initial funding for their startup. They are looking for a software development partner who understands their vision, can help bring their ideas to life, and deliver results that will help them achieve their business goals.

Founders with initial funding have a pressing need to build their product quickly and efficiently to maximize their chances of success. At VeryCreatives, we understand this need and are dedicated to creating high-quality SaaS apps that not only meet their requirements but also exceed their expectations. We are committed to delivering value and results that help our clients succeed.

VeryCreatives stands out in the market for our ability to deliver high-quality, innovative solutions that meet the needs of our clients. Our unique approach to software development, coupled with our expertise and commitment to excellence, is what drives us to provide outstanding results to our clients.

Industries our clients operate in, using the SaaS products we've built: 
- Digital marketing, Event marketing & Influencer marketing SaaS
- Foodtech & Delivery 
- Fintech, Banking & Investments
- 2-sided marketplace platforms
- Agriculture & Livestock management
- Packaging compliance & Waste

Markets we cover: UAE, EU, UK, US.

The UK is shipping world-class SaaS 🇬🇧

Here's 20 UK startups and the core feature that makes each one worth watching:

Attio (Nicolas Sharp) → AI-native CRM that auto-enriches contacts in real time. ARR quadrupling YoY.

Synthesia (Victor Riparbelli) → Text-to-video with 230+ AI avatars in 140+ languages. $180M Series D.

PolyAI (Nikola Mrkšić) → Voice AI that handles live customer calls in 45 languages. Backed by Nvidia.

Xelix (Paul Roiter) → AI agents for Accounts Payable. Processes 115M+ invoices per year.

Granola (Christopher Pedregal) → AI meeting notepad. Auto-generates structured notes and action items from calls.

Vertice (Eldar Tuvey) → SaaS spend platform that auto-negotiates your renewals. 437% growth rate.

Signal AI (David Benigson) → Real-time monitoring across millions of sources for reputation and regulatory risk.

Plain (Simon Rohrbach) → API-first support where AI agents resolve tickets autonomously. Used by Vercel and Cursor.

Griffin (David Jarvis) → UK's first full-stack Banking-as-a-Service with a full banking license.

Primer (@Paul Anthony) → Single API connecting 100+ payment processors with no-code routing.

hyperexponential (​Amrit Santhirasenan) → No-code pricing models for commercial insurers. Backed by a16z.

Raycast (Thomas Paul Mann) → Keyboard-first productivity launcher. 800+ app integrations with built-in AI.

StackOne (Romain Sestier) → One API to connect 200+ enterprise SaaS integrations. Built for AI agents.

Lindus Health (Meri Beckwith) → Runs full clinical trials 3x faster than traditional CROs.

Metaview (Siadhal Magos) → Auto-generates structured interview notes from live conversations. Used by Sony and Brex.

Sylvera (Allister Furey) → Satellite imagery and ML to rate the actual quality of carbon credits.

Robin AI (Richard Robinson) → LLM trained on 2M+ contracts. Reviews and negotiates legal docs for UBS and Pfizer.

BVNK (Jesse Hemson-Struthers) → Stablecoin payment infrastructure for cross-border business transactions.

Shop Circle (Luca Cartechini) → AI-powered suite for Shopify merchants. Inventory, SEO, analytics in one dashboard.

Tessl (Guy Podjarny) → Forces AI coding agents to write specs before generating code. Prevents hallucinations.

Every one of these started with a sharp product decision: solve one problem exceptionally well, then expand.

What UK startup has caught your eye recently?

Launch products customers love, then exit | 5x exits, $100M ARR created for founders

I’ve developed products for 5x exits

Shock: Don't hire a developer in 2026

Every week, a non-technical founder asks me: "Where do I find good developers?"

My answer: "Why do you need one?"

Usually they don't. Not yet.

Before you hire a developer, you need:

1. Validated problem

→ Real people willing to pay. Not just "interested."


2. Clear scope

→ What are you building? What are you NOT building?


3. User journey mapped

→ Every screen. Every interaction. Every edge case.


4. Prioritized features

→ What's V1 vs V2 vs never?

Without these, you'll waste $15-20k per month while you "figure it out."

If you DO need a developer:

Red flags:

→ Promises fast/cheap (you'll pay later)
→ Doesn't ask about your business model
→ Jumps straight to coding
→ Can't explain trade-offs in plain English

Green flags:

→ Asks more questions than you expect
→ Pushes back on features
→ Talks about users, not just tech
→ Shows similar work (not just "we can do that")

The best developers will tell you what NOT to build.

"The project will cost $50k." - Developer
 
3 months later: $120k. Sh*t. What happened?

Every non-technical founder has heard this: "It will take longer than expected."

But you can prevent it (with some high-school math)

Here's how to build an accurate cost forecast:

Step 1: Break it down absurdly small

Not "user authentication: $5k"

But:

→ Login page design: $500
→ Login backend: $1k
→ Password reset flow: $1.5k
→ OAuth integration: $2k
→ Security testing: $500


Step 2: Add complexity multipliers

→ Simple feature: 1x
→ Medium complexity: 1.5x
→ Complex/uncertain: 2x
→ Integration with third parties: 2.5x


Step 3: Add the "unknown unknowns" buffer

→ New team: +30%
→ Existing team, new domain: +20%
→ Experienced team, known domain: +10%


Step 4: Phase the budget

→ Phase 1: Core features (40% of budget)
→ Phase 2: Secondary features (30% of budget)
→ Phase 3: Polish and optimization (20% of budget)
→ Buffer: (10% of budget)


Step 5: Define cut points

If Phase 1 goes over, what do you cut from Phase 2?

Decide BEFORE you're in crisis mode.


The rule:

If you haven't scoped it in detail, you haven't scoped it.

And if you haven't scoped it, any number is a guess.

So…

Maybe pause that developer project.

Mixpanel is the only company I've seen do this 🔥

They’re putting client logos directly on each pricing tier. 

I think this is smart for a few reasons:

1. Trust at the decision point

You're comparing plans. You're about to pick one.

That's exactly when you see the logos. Trust increases right when it matters most.


2. Self-comparison kicks in

When you see "Uber uses the Growth plan" and "CNN uses Enterprise," you start asking yourself:

→ Which companies are like mine?
→ What plan are they on?
→ Should I be on that too?


3. The proof matches the buyer

→ Startups see startup logos on the Starter tier.
→ Enterprises see enterprise logos on the Enterprise tier.
→ Each plan has its own social proof. Not one generic "10,000 companies trust us" claim.

Small detail. Probably moves conversions more than most people realize.

Have you seen other SaaS companies doing this?

I've been part of 5 SaaS acquisitions.

Here's what buyers discuss privately:

When a company gets acquired, founders focus on revenue, growth metrics, and the pitch.

But after the presentation, when the acquirer's technical team goes back to their office, the conversation shifts completely.

I've seen this happen five times now. The questions they ask each other are almost always the same:

→ "Can we maintain this code without them?"

If the answer is no, the price drops or the deal dies. One of our clients got acquired by Adesso ($1.3B IT company) and one of the deciding factors was code quality. Their team reviewed the codebase and actually kept us as the development partner post-acquisition.


→ "How much technical debt are we inheriting?"

Every shortcut the original team took becomes a line item on a spreadsheet. They calculate what it costs to fix and deduct it from the offer. This can knock six figures off valuations.


→ "Can this handle 10x the current load right now?"

Not after a rebuild. Right now, as-is. If the answer requires re-architecting, that's another cost they subtract.


→ "Is the data clean enough to migrate?"

Messy data means months of integration work on their side. They price that in aggressively.


→ "What happens when the founders walk away?"

If all the product knowledge lives in two people's heads with nothing documented, the acquirer just bought a risk.


Most non-technical founders don't think about any of this until they're already in due diligence. By then the damage is done.

Build like someone's reviewing your codebase tomorrow. After 13 years, I've watched acquisition offers show up when founders least expect them.

What would you want to clean up in your tech stack before a buyer looked at it?

I run a 28-person agency. I used to feel guilty about an ‘empty calendar’ on a Monday. Now I try cancel all of my meetings:

And it’s helped us grow revenue 30%+.

Previously I was in every delivery meeting, every project review, every standup at VeryCreatives.

I thought I had to be in the room for things to run.

Now, our fantastic Head of Delivery meets with the PMs directly. 

And an ‘empty calendar’ means brain space to strategise on growth.

Here's what my Monday looks like now:

1. Strategy session with my co-founder Mate
→ Previous week, pipeline, finances, what's planned
→ Keeps us both aligned so neither of us needs to check in again all week

2. Sales sync
→ New leads, who handles what, timing

3. Afternoon: wide open
→ This is the whole point
→ We use that time to plan new internal tools, shape future services, figure out where we're going next

By lunchtime, the operational part of my day is done.

Everything after that is thinking time.

What's one meeting you could delete from your Monday to create space?

I've helped 5 SaaS products exit. 

Here's what acquirers actually looked at:

5 years ago, a product we developed sold to Adesso ($1.3BN/year IT business).

One of the things they noted was that technical build was a factor in acquisition.

Main problem:

Non-technical founders MOSTLY don’t think about how to build the technical foundation for exit from day 1.

Then in the event of acquisition they scramble to make the product "acquirable" and wonder why due diligence takes forever.

Here's what acquirers evaluate:

1. Code quality

Can they maintain it without you?

I've seen acquirers keep the original dev team post-acquisition specifically because the code was clean. 

Red flags they look for:

→ No documentation
→ No tests
→ Spaghetti architecture
→ Single points of failure


2. Technical debt

How much will it cost to fix?

Every shortcut you take today becomes a negotiating chip against you later.


3. Scalability

Can it handle 10x users?

Not "can we rebuild it to handle 10x." Can it handle 10x NOW?


4. Data integrity

Is the data clean? Structured? Portable?

Messy data = massive integration costs = lower valuation.


5. Team dependency

What happens if founders leave? Is knowledge in heads or in docs?

My ‘exit-ready’ lesson;

Build like someone's going to buy your company tomorrow.

Because if you do it right, they might.

Think about this while building the roadmap for your v1.

My 6-year old son tells $100M private equity firms if product ideas are ‘good’ (I’m serious).

If you can't explain your product to a 6-year old, I’ve got $100,000 on the fact that no one else will get it either.

I sit through dozens of product pitches every year.

The pattern is always the same:

Founder: "So basically, we're building a platform that leverages AI to optimize cross-functional workflows while integrating with existing enterprise systems to enable seamless collaboration and data-driven decision making."

Me: "What does it actually do?"

Founder: "...It helps teams share files."

The 6-year old test:

Can someone who has never heard of your product understand:

1. WHO it's for
2. WHAT problem it solves
3. WHY they should care

In 5 seconds?

If not, here's the formula that works:

"We help [specific person] [do specific thing] so they can [achieve specific outcome]."

Examples:

→ "We help freelancers send invoices so they get paid faster." 
→ "We help HR teams track applicants so they hire better candidates."

Trust me… my 6-year old is a great product idea validation filter.

Can you explain your product in one sentence?

Clay is one of the only companies I’ve seen do this 🔥

When you open the dashboard:

→ There's an AI chat text box.
→ It asks: "What do you want to build?"
→ You type your goal. It takes you to a chat screen. 
→ Then their AI (Sculptor) builds the workflow for you.

I think this solves three problems at once:


1. The blank canvas problem

Clay is powerful but notoriously hard to start with (lot’s of features).

Beginner users will open it, see an empty table, and don't know where to begin.

This prompt box removes that moment. 


2. Slow learning curve

A lot of tools teach you their features via an onboarding. 

But then over a few years they launch 10+ other features you have no clue how to use.

This Clay feature speeds up the learning curve:

→ You describe the outcome
→ The product figures out which features to use
→ You learn by watching it build


3. HUGE time and cost savings. 

For a lot of large products such as Clay, there are off shoots of service based agencies that build with the product for you.

Now you literally do not need to hire an agency.

The product builds what you need for you.

Making it more fun to use.

-

Have you seen other tools do this?

Why US innovation labs pay $500K for what Hungarian teams build for $100K (and get better results):

I just watched an enterprise innovation lab spend $500K on a product that never saw a single real user.

Then in same quarter, we shipped a similar concept for a German client. 

It took six weeks, it cost much less…. and in the end was live and taking payments vs the US one (zero payments).

The problem is US labs have been trained to solve every problem with a 20-person team.

Think about what happens when you have a massive budget:

→ You hire a product manager.
→ You hire three designers.
→ You hire a scrum master.
→ You hire eight developers.
→ You hire two QA engineers
→ And a DevOps team.

Everyone needs to justify their role. So they build. And build. And build.

👉 The PM adds features to show progress
👉 Designers polish screens nobody asked for
👉 Developers architect for scale you don't have
👉 QA tests edge cases that won't exist for years

Six months later, you have a beautiful product that solves nothing particularly well.

OR-

With that same $500k budget, you could run 10 separate validation sprints at $50k each. Even if 8 fail completely, you still walk away with 2 validated concepts to scale.

Compare that to putting the budget on one product that takes six months to discover nobody wants.

Agree or disagree?

Fireflies.ai hit a $1B valuation.

How to copy their MVP strategy:

Founders Sam Udotong and Krish Ramineni would dial into calls as "Fred from Fireflies.ai", sit silently, take notes by hand, and send them 10 minutes later.

They did 100+ meetings like this. Completely manual. 🤯

→ Zero development cost to validate
→ Learned exactly what users needed (by doing the job themselves)
→ Proved people would pay $100/month BEFORE investing in code
→ Only automated after hitting $750/month revenue

What I take from this:

Before you scope features, before you wireframe, before you hire anyone:

Can you deliver the core value manually? Without hiring any developers?

If yes, do that first. Talk to those customers. Understand the problem deeply.

Then build.

-

P.s.

We use Fireflies.ai at VeryCreatives.

We switched from Fathom because it felt more complete and could even log our internal calls in Hungarian. 🇭🇺

Could you imagine Fred joining your call to take notes?

What's stopping you from delivering your product's value manually this week?

Most launches fail in the handoffs. Here's the 20-minute test that catches them.

If we work together on a launch, I will ask you to do one thing that feels annoying:

Close Figma.

Forget your test accounts.

Take a brand new signup and do one complete job in one sitting:

👉Invite the teammates you expect them to invite.

👉Import the messy file they will actually import.

👉Hit the permission edges you are secretly hoping they never hit.

What I keep seeing is the same:

Teams test features in isolation because it feels faster.

Users live in journeys.

Journeys fail in the handoffs.

So, pick one job that really matters.

Time yourself doing it end to end on a fresh account.

Write down every time you pause, swear, or ping someone for help.

Fix the three worst moments before you celebrate anything.

It is not glamorous work, but it has saved more launches for us than any marketing campaign.

When's the last time you did a full journey test on a fresh account?

Hiring a developer is the most expensive mistake a non-technical founder can make. Do these 7 things to save $50k+ for your MVP (avoid Upwork/Fiverr):

1. Define your product strategy first

→ Spend 2-3 days defining exactly what you're building and why. 
→ Don’t scroll Upwork/Fiver for a developer.


2. Create detailed user journeys

→ Every screen. Every interaction. Every edge case.
→ If you can't draw it, you can't build it.
→ Otherwise you’ll end up trusting a developer with the entire thing.


3. Prioritize features ruthlessly

→ What's your V1? V2? Never?
→ Cut 50% of what you think you need.


4. Wireframe everything

→ Before design and before code. Do wireframes.
→ It’s cheap to change (trust me on that one). 


5. Weekly demos with the developer

→ See progress. Catch misunderstandings early.
→ Fast feedback loops save thousands.


6. Fixed scope, not fixed time

→ Tell the developer "Build these 10 features" not "work for 3 months."
→ Not "work for 3 months." or "work for 10 hours this week."


7. Kill features that aren't working

→ Sunk cost fallacy kills startups.


The math:

A few days of product strategy work upfront can prevent $50k-$100k in wrong features.

I've seen founders spend $80k building the wrong thing. Then start over.

Don't be that founder.

The fastest way to make $100k MRR with SaaS 

Copy all of your competitors features:

No, seriously.

But only once you take this into account.

Your competitor has 50 features. 
They’re proven over 5+ years.
They’re clearly making revenue.

Just copy them all right?

Here's the problem:

Your competitor built those 50 features over 5 years.

They added most of them because:

→ A big customer asked for it
→ Someone on the team thought it was cool
→ They were trying to justify a price increase

They probably regret half of them.

What to do instead:

1. Identify their core value proposition (usually 2-3 features)
2. Find which features their customers actually use (check G2 reviews, Reddit, support forums)
3. Identify what they do poorly (read 1-star reviews)
4. Build that. Better.

Don't compete on feature count. 

You'll lose.

Compete on solving one problem exceptionally well.

What's the one thing your competitor does that you could do 10x better?

Ashley Wright

Want to scale your brand to $100k+/mo with TikTok Shop?👋

Are you struggling to see the results you want on TikTok Shop?

Over the past two years, I've generated over $80,000,000 on TikTok for some of your favorite brands.

A few of our current and past clients include:
- Loop Earplugs
- Divi
- Petlab
- Mylee
- SNOW
- Stars + Honey
- Surreal
- Style Edit
- Thread Beauty
- Little words project

This success isn't just luck it's about understanding the platform, pushing boundaries, and being unafraid to test what works.

Brands used to doubt TikTok's ROI potential, but that's never been the case. With TikTok Shop, the ROI is clearer than ever.

If you're ready to create a whole new revenue channel with TikTok, here's how I can help:

1. Follow me on LinkedIn for daily TikTok Shop insights (scroll up and hit the bell to get notified).

2. Watch my FREE TikTok Shop Playbook (DM me "Playbook").

3. Want my agency to manage your TikTok Shop? (DM me "Support" and I'll share the details).

Glad you dropped by. 
To your success!

Mentor

1:1 video mentoring sessions with the world’s most in-demand startup mentors.

Tomorrow is my birthday.

I write one of these every year because it forces me to slow down and take an honest look at the last 12 months. 

Not the highlight reel, the real lessons.

This year felt less about chasing growth and more about refining it.

Earlier in my career, progress meant doing more. 

More clients, more calls, more output. 

Now it is about building something that runs with clarity and ownership. 

Systems over chaos. 
Operators over passengers. 
Direction over noise.

A few reflections from the past year:

1) Leadership changes when the business grows.

You stop measuring impact by how much you personally do, and start measuring it by what the team can execute without you in the middle. 
That shift is uncomfortable, but necessary.

2) Not all growth is worth it.

There were plenty of opportunities that looked exciting on paper. 

The biggest wins came from focus. Saying no protected momentum more than saying yes ever could.

3) Authority is earned through execution, not noise.

The industry has become louder. More operators, more agencies, more opinions. 
What cuts through is results. 
Case studies, outcomes, and staying focused on delivering real value rather than chasing attention.

4) Family changes perspective in ways you cannot fully predict.

As Bodie gets older, it hits differently. Ambition feels more grounded. 
Time feels more valuable. The way you define success shifts when you realise you are not just building for yourself anymore.

Personally, this year has been about tightening everything. 
Cleaner structure inside the business. Clearer thinking. 
Being far more intentional with where time and energy go.

Looking ahead, the focus is simple:

- Build something that scales cleanly.
- Create leverage through people and systems.
- Stay close to what actually drives outcomes.

Grateful for the team, the clients, the partners, and everyone who has been part of the journey.

Another year in. 
Still building.

Let’s go.

Helping 8+ Figure Brands Win on TikTok Shop | CEO of Social Tale | Speaker | Social Commerce Growth Expert | DM for growth, audits, or collabs

Most brands ask if they're ready for TikTok Shop.

To be honest, not everyone should be on TikTok Shop right now, and that's okay.

I built this decision tree to help you figure out if you're actually ready or if you're about to waste 6 months and $50K:

Your team ran a TikTok Shop test for 2 months, didn't see results, and shut it down.

Now you're saying TikTok Shop doesn't work.

The thing is, you didn't actually test TikTok Shop. You tested with outdated methods and called it a channel test.

TikTok Shop doesn't work in 2 months because the algorithm needs time to learn what actually converts for your product.

Creators need to post multiple times to figure out which hooks land. Your audience needs to see the product 3-4 times before they trust it enough to buy.

The brands doing $100k+ on TikTok Shop didn't get there in a couple of months.

They spent time building the infrastructure, testing content angles, and finding which creators actually move product.

Then they scaled what worked.

You can't judge a new channel the same way you judge a Meta ad campaign. Different platform, different timeline, different mechanics entirely.

Think about it this way:

Would you launch a new retail store, see zero customers in week 1, and immediately shut it down before you even finished setting up the shelves?

That's basically what your TikTok Shop test was.

Most brands kill TikTok Shop before momentum even has a chance to compound. Then six months later, they're watching competitors scale.

The reason why the TikTok shop isn't working for you is that you didn't give it enough time to actually work.

Khairul Aming just did RM2.3 million in sales in a single day on TikTok Shop.

That's ~$589K USD from one 12-hour livestream.

He sold 51,700 products and got. 5.42 million views.

TikTok Shop LIVE has already proven in Asia.

In Malaysia, Indonesia, Thailand, creators are doing 6-7 figures in single sessions.

Most brands in the US and UK are stuck posting 3x/week, hoping something hits.

They haven't even tested LIVE yet.

Meanwhile, the playbook already exists.

Here's what Khairul did that you can copy:

He ran a 12-hour livestream set up like a virtual Ramadan bazaar with different product stations.

He rotated through curated products from 14 local brands. He answered questions in real time. He created urgency with cash giveaways and limited-time offers.

And people bought.

This is what TikTok Shop rewards in 2026.

Not polished brand content.
Not hoping a video goes viral.
Not waiting for the algorithm to pick you.

Real-time engagement.

The infrastructure exists in the US and UK now. The audience is ready. The conversion mechanics work.

But most brands think LIVE is "too much work" or "not professional enough."

So they're leaving 6-7 figure revenue opportunities on the table.

Are you testing LIVE for your brand?

Meta Ad spy tools show you WHO is running ads.

GoMarble shows you WHY they work.

One gives you a list of ads. 

The other gives you strategic patterns + creative analysis.

Every ad spy tool shows you competitors.

None of them explains why an ad actually performs.

GoMarble doesn't just list competitor ads.

It watches them. Dissects hooks, copy, formats, angles. Finds patterns of what's actually converting right now.

Search 150M+ ads by funnel stage, hook type, and offer structure.

Not just brand names.

Then it connects to your ad account.

Compares competitor patterns against your top and bottom performers.

Shows you what's missing, overused, or mis-positioned.

Turns that into ready-to-shoot briefs.

We're using it for TikTok Shop creative research.

But it works across platforms.

Also, GoMarble built a Competitor Intel report. 

Enter your website, and GoMarble instantly shows competitors’ ads, their best hooks, winning angles, and a gap analysis against your own ads. 

Repost + comment “GoMarble” and I’ll DM you the link.

P.S. Repost for priority access.

Premium brands fear TikTok Shop.

"Won't this turn us into a discount brand?"

I get it. The platform feels risky.

But poor execution damages positioning.

Not the platform itself.

The brands losing their premium positioning are letting creators run wild with messaging, competing on price instead of value, and treating TikTok Shop like a liquidation channel.

The brands winning are doing something different.

1) They bundle intelligently to increase AOV

Instead of slashing prices, they create exclusive bundles that justify higher order values.

Limited edition sets. Product + accessory combos. Starter kits.

2) They use value adds instead of discounts

Early access to new launches.

Gift with purchase.
VIP creator events.
Not 30% off everything.

3) They anchor around hero SKUs and storytelling

Creators don't sell on price.

They sell the transformation, the outcome, the experience.

Premium positioning comes from how the product is framed, not what it costs.

4) They control the commission strategy

Commission happens behind the scenes.

Public-facing pricing stays premium.

No race to the bottom on discounts that train customers to wait for sales.

5) They use TikTok Shop as a discovery engine

Acquire new customers at full price through creators.

Then monetize repeat purchases through DTC retention flows.

TikTok brings the customer in. Your brand keeps them.

TikTok Shop doesn't cheapen premium brands.

Weak operators do.

TikTok Shop just pulled a full U turn.

After weeks of noise, back and forth, and “potential updates” to Seller Shipping, this landed in inboxes:

“At this time, Seller Shipping remains unchanged, and previously shared deadlines are not going into effect.”

Translation, the dramatic shift is not happening, for now.

The last few weeks have been messy.

There was a strong push toward tightening control over shipping, clearly a move toward a more Amazon style model where the platform owns more of the infrastructure and margin.

From a platform economics perspective, I get it.

Own fulfillment, own experience, own more revenue.

But timing matters.

If your goal is onboarding serious $10m+ sellers, introducing a sudden operational roadblock with short turnaround deadlines creates friction at exactly the wrong moment.

We had multiple conversations with TikTok.

We supported brands through contingency planning.

We looked at operational impact, margin compression, warehouse shifts, customer experience risk.

And rightly so, several brands were hesitant to opt in under pressure.

High revenue operators do not like instability in core logistics.

This reversal is the right move.

Not because platform owned shipping will never happen.

But because forcing structural change before the ecosystem is fully ready slows momentum.

TikTok Shop is still early.

It needs enterprise brands.

Enterprise brands need predictability.

Platform growth is not just about monetisation.

It is about trust.

For now, Seller Shipping remains unchanged.

And that gives brands breathing room to scale without unnecessary friction.

The bigger takeaway is that TikTok is still iterating in real time. If you are building on the platform, expect volatility.

Build systems that can absorb it.

That is the game.

TikTok Shop + AI for brands = cheat code.

Over the past six months I have gone deep into this.

Courses.
Software.
Testing workflows.
A lot of AI credits.

And honestly, I feel like we are finally at a place where this is ready to roll out properly.

Brands keep telling me they cannot hire fast enough to keep up with content.

You do not need a bigger team. You need a different system.

Here is the blueprint we are rolling out:

Multiple marketing pages, not just one brand account.
Affiliate style pages testing angles at speed.
AI generated variations, different avatars, hooks, and languages like Spanish.
High volume testing inside TikTok Shop to find real conversion signals.

Then when something works?

Move it to Meta and scale it.

TikTok becomes the performance lab.
Meta becomes the amplifier.

And for the people who say AI is fake or not real.

Many brands already pay UGC creators who do not care about the product, follow a script, and move on to the next brand.

Execution speed is what matters.

Move with the times or get left behind.

PS, The videos below are AI generated. Could you tell?

"Is TikTok Shop actually profitable?"

Every brand asks this around week 6.

And most kill it at day 45.

Right when it's about to work.

They see the GMV.

They see the commissions.

And they panic and say it's not profitable.

What they are missing is that launch ROI and scale ROI are two different games.

In the first 60 to 90 days, you're not extracting profit.

You're building infrastructure:

- Higher commissions to attract creators.
- Heavy content investment to test what converts.
- Tighter margins to build momentum.

This phase isn't supposed to be efficient.

It's supposed to prove the model works.

Most brands expect immediate profitability and pull the plug before the system matures.

They're chasing vanity GMV instead of watching contribution margin.

Those who see success treat TikTok Shop like a flywheel.

They focus on contribution margin, not vanity GMV.

They track what actually matters, such as profit per order after commissions, returns, and fulfillment.

They double down on repeat creators who already know their product.

These creators drive better conversion rates, which means lower effective commission costs and better MER.

They identify hero SKUs that drive volume without killing margin.

One or two products that hit the algorithm sweet spot can carry your entire catalog's profitability.

They increase content velocity until the algorithm picks up momentum.

More content from proven creators means the platform rewards you with cheaper traffic and better MER.

By month 4, MER improves. By month 6, it scales.

TikTok Shop is profitable when you stop chasing paper metrics and start building for the long game.

The question isn't "Will this work?"

It's "Are you willing to build it right?"

Tarte did $45 million in GMV on TikTok Shop in 6 months and sold 1.6 million products.

Everyone thinks it's because they're a big brand.

So, I looked at where the revenue actually came from.

88% was affiliates and 11% was the Shop tab.

Less than 1% came from their brand account.

Many brands think TikTok Shop success comes from posting great content on their brand account.

Tarte's posting maybe once a week.

Meanwhile, they activated 6,600 creators in a single month who published 23,000 videos.

That's 800 videos per day hitting the platform.

They're not waiting for one video to go viral.

They built a system where content just keeps flowing.

And the algorithm rewards that.

I pulled up one of their top creators.

Kaley Solitro has over 50K followers.

She's generated over $1 million in sales for Tarte.

Not because she has a massive audience.

Because she posts consistently and knows how to make content that converts on TikTok.

Their best-selling product is the CC Corrector.

$11.7 million from one SKU.

It works on TikTok because it's simple to show.

Clear before and after.

You see the result in 15 seconds.

That's what a TikTok-native product looks like.

Most brands are still trying to figure out what to post on their brand account.

Tarte just recruits hundreds of creators, gives them samples, and lets them do what they do best.

Then they amplify the ones that are already working.

TikTok Shop Brand Safety Governance Checklist for 2026.

The exact framework we use to help brands scale to 7 figures per month without destroying their retail relationships or brand equity:

You don't need a massive budget to scale on TikTok Shop.

I've watched brands burn $100K+ in 90 days with nothing to show for it.

Meanwhile, smaller brands with tighter budgets are doing $50K months.

The difference isn't money.

It's focus.

Here's what profitable brands are doing:

---

1) Pick 1-2 hero SKUs, not your entire catalogue

Most brands launch with 20+ products.

The algorithm doesn't know what to push.

Creators don't know what to promote.

Customers get confused.

Narrow it down.

One or two products that demonstrate well on video.

Give the algorithm a clear signal.

Give creators a clear story to tell.

---

2) Pay creators with retainers, not just samples

Sending samples and hoping the creators' post is expensive guessing.

We pay $30-150 per video retainer plus commission.

That guarantees posts.

Guarantees volume.

Guarantees the algorithm gets fed consistently.

Samples work for discovery.

Retainers work for scale.

---

3) Hit 250+ pieces of content per month minimum

The algorithm needs volume to learn what converts.

20 videos per month isn't enough signal.

250+ gives the platform enough data to optimise.

That's roughly 8-10 posts per day across your creator network.

Sounds like a lot, but it's just 25 creators posting once a week.

---

The algorithm rewards consistency over budget.

Most brands think that more money solves the problem.

It doesn't.

More focus and the right strategy do.

To all e-commerce brands here doing TikTok shop.

You can get the same product to convert 2-3x better by running multiple creator angles simultaneously, and letting the algorithm tell you what works.

Here's how to do it (and why most brands miss this):

- take your top 3-5 products
- recruit 5-10 creators per product
- split them into 3 different messaging angles
- each angle is a different hook and use case

Example for a sleep supplement:

- angle 1 targets the problem (can't fall asleep at night)
- angle 2 targets demographics (busy moms who need rest)
- angle 3 targets use cases (natural sleep without grogginess)

You're basically testing which message the algorithm rewards with sales.

Brief each group of creators with their specific angle.

Give them the same product, different talking points.

Use custom UTM parameters or creator codes so you can track performance separately.

For these to actually perform, treat every angle like a separate campaign.

Separate sample batches, separate discord channels, and separate commission structures if needed.

Then, track GMV per angle over 30 days, and double down on the one that drives highest revenue per video.

Before you ask, this does NOT waste samples.

We've been running this strategy for 2+ years across dozens of brands, and the data always tells you what converts.

TikTok Shop doesn't care if it's the same product.

They care whether the content resonates with different audience segments.

As long as each angle serves a specific pain point or demographic.

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♻️ Repost, bookmark, and share with your network if you found this helpful.

Brands check their TikTok Shop dashboard every day.

But they're looking at the wrong numbers

Most brands manage TikTok Shop on GMV.

Check the dashboard. See last month's revenue. Decide if it's working.

But revenue shows you what happened 30-60 days ago.

The creators posting today drive sales in 4-6 weeks.

So when you only track monthly revenue, you're reacting to old data.

We don't manage TikTok Shop on GMV.

We manage it on leading indicators.

1) Creator Activation Rate

How many creators actually posted after getting samples. If it's below 70%, your brief is broken, or you're targeting the wrong people.

2) Content Volume

How many pieces of content hit the platform each week. We need 100+ per month minimum, or the algorithm doesn't have enough signal.

3) Repeat Creator Density

Which creators keep posting multiple times. One creator posting 10 times beats 10 creators posting once.

I watched a client hit $120K months.

Then they cut samples by 60% to "save budget."

Two months later, GMV dropped to $45K.

It wasn't seasonality.

It wasn't algorithm changes.

It was a broken content pipeline caused by cutting samples.

The work you do today shows up in revenue 30-60 days later.

Most brands celebrate a big month, then forget to keep sending samples.

Revenue drops 8 weeks later, and they panic.

TikTok Shop rewards consistency, not monthly sprints.

If you're managing TikTok Shop on last month's GMV, you're operating on a 60-day delay.

AI-generated UGC is outperforming real creators for some of our clients.

Here's the breakdown of when to use it and when not to.

Most brands think they need to choose between real creators or AI content.

These days, you need both.

When AI UGC works:

1) Testing new messaging angles fast. Instead of waiting 2 weeks for a creator to post, we test 10 different hooks in 48 hours with AI-generated content.

2) Scaling content that already converts. If a creator's video drives $15K in sales, we use AI to create 5 variations of that same framework with different angles and scripts.

3) Filling content gaps. You need 30 pieces of content posted before a sale. AI helps you hit volume without burning through your entire creator budget upfront.

When AI UGC doesn't work:

1) Complex product demos. If your product needs a detailed walkthrough or before/after that takes time, real creators win every time.

2) Building long-term trust. The creators posting 10+ times for your brand can't be replaced by AI. Their audience knows them and trusts them.

3) Trend-jacking. AI can't jump on trending sounds or formats fast enough. Real creators living on the platform will always move faster.

For our clients, we use this split:

70% real creator content (building relationships, ongoing partnerships, trend content)

30% AI-generated UGC (testing hooks, scaling winners, filling volume gaps)

AI doesn't replace your creator strategy. It amplifies it.

Are you using AI to scale or trying to replace humans entirely?

A 9-figure CEO messaged us before we spotted it.

A creator had posted a video implying the brand was "shutting down."

The video was getting traction.

Not a good look when the CEO sees it before you do.

What happened is that the creator used an aggressive hook to drive hold rate. "Is [Brand] shutting down?" "Why are they discounting so heavily?"

It worked. People watched. The algorithm pushed it.

But when you're working with enterprise brands and board-level scrutiny, you can't let performance run unchecked.

We're now having the same conversation with every brand:

What's your risk appetite?

Will you sacrifice short-term GMV to protect positioning? Or are you comfortable leaning into aggressive hooks for faster scale?

You can't optimize for both.

So we've built a clear creator brief with boundaries on what hooks are off-limits.

Automatic scanning before we put paid spend behind content.

Escalation protocols when risky content gets traction.

Because once you amplify a video with ad spend, you're not just distributing content. You're amplifying risk.

The difference between agencies that scale brands and agencies that get burned is simple.

You either build governance around growth, or growth exposes your weaknesses.

Scale without control isn't a strategy. It's a gamble.

And serious brands don't gamble with reputation.

TikTok just released its 2026 trend report:

"People will come to TikTok for unfiltered stories and BTS moments, with most resonant brands showing real process and people over curated perfection."

This is why polished product videos aren't working anymore.

The brands winning on TikTok Shop in 2026 won't have the best brand guidelines.

They'll be the ones showing:

- Messy unboxings, not staged ones.
- Real customers in real situations, not actors.
- Behind-the-scenes of fulfillment and shipping.
- Actual product usage, not perfect lighting setups.

This is why creator-led commerce works.

Creators aren't polished and show the process.

Your 10-page brand guideline asking creators to match your aesthetic is the opposite of what audiences want.

TikTok Shop rewards what people watch.

And people want unfiltered, not curated.

Are you still optimizing for brand perfection or giving audiences the real stories they're craving?

An 8-figure brand asked me why they aren't getting TikTok Shop sales. They're sending samples to 50+ creators a month. Getting maybe 5 posts back. So why isn't it working?

I get the frustration. You see other brands crushing it.

But spray and pray with samples actually works, you're just executing it wrong.

Think of it this way.

If you're only getting a 10% post rate, you're sending samples to anyone with a follower count. No brief. No guidance. No clear angle. Just "here's a sample, hope you post." You should be hitting 85%+ post rates with the right system.

Those relationships are your creator partners who get clear briefs, understand what angles convert, know exactly what to post, and actually follow through consistently (not just take samples and ghost).

This is called creator-led commerce.

It's backed by the algorithm and it is the foundation of your entire TikTok Shop strategy.

It's the only way to scale on TikTok Shop in 2025 and beyond. It's better than hoping content goes viral, better than running ads alone, better than sending samples to randoms with zero structure.

Are you building a structured creator network or just hoping samples turn into sales?

TikTok Shop is on 'easy mode' for brands right now.

So here's a quick 2026 copy-paste content brief:

First, you don't need complicated 10-page brand guidelines.

You need a 3-section brief that takes creators 2 minutes to read and actually helps them convert.

TikTok Shop is rewarding content that converts right now.

The beauty brands are going viral with before/after transformation content. The wellness brands are going viral with problem-solution demos.

Their secret isn't long creative briefs. It's clarity.

Here's a quick run-down of the content brief structure.

1. The Hook (first 3 seconds that stop the scroll)
2. The Story (why this product matters to their audience)
3. The Offer (what to say and where to send people)

Most brands send creators:

- 8-page brand guidelines
- Approved messaging frameworks
- Required hashtags and disclaimers

Then wonder why creators don't post.

For example:

Hook: "If you're struggling with [problem], this changed everything" 
Story: Show the problem → Show the product solving it → Show the result 
Offer: "Use my code [NAME] for 15% off"

To structure your briefs use these 2 frameworks:

The Hook-Benefit-Demo (grab attention, explain outcome, show proof)

The Problem-Agitate-Solve (call out pain point, make it hurt, present solution)

Make sure every frame delivers value per second. Use real results and specific product benefits.

This strategy has driven $80M+ for our clients.

TikTok Shop isn't saturated, but complicated creative briefs are. Focus on giving creators freedom within a clear framework, not 10-page brand guidelines they'll never read.

---

Repost if you want more TikTok Shop strategies. 

Follow me, Ashley Wright, for practical insights on TikTok Shop and eCom growth.

You're paying creators $500+ per video.

Meanwhile, your best testimonials are sitting unused.

You probably have hundreds of customer reviews sitting in your Shopify backend.

Real testimonials from real people who bought your product like:

"This serum cleared my skin in 2 weeks."
"Best purchase I made all year."
"My toddler destroyed this dress and it still looks new."

But they're just text buried on your product page.

Nobody sees them.

Here's what you can start doing:

AI takes those exact words and turns them into video content for your brand account to post on TikTok Shop.

You're not making anything up or creating fake reviews.

You're taking what Sarah actually said about your product and putting it in a format that performs on TikTok Shop.

Because text reviews don't sell on TikTok.

Video testimonials do.

Your affiliates drive traffic and create authentic content from their accounts.

Your brand account posts AI testimonial videos that add social proof and conversion power.

Most brands waste all their content budget on creator videos and forget their brand account needs to post consistently too.

AI testimonial videos solve that without hiring a content team.

Are you using AI testimonials on your brand account or leaving it empty while affiliates do all the work?

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