Not being able to use client projects as case studies due to NDAs (Non-Disclosure Agreements) can be highly frustrating when you have to prove the value behind your price tag.

However, in our experience, this can be ironed out with clients who acknowledge the value of case studies, and the role they play in a business' growth strategy.

But this can only work when you also acknowledge the highly competitive nature of their industry/sector and how gatekeeping growth strategies from rivals is of utmost importance for long sustainability and survivability.

The Legally Sound & Effective Approach:

Using a disclaimer that; your clients make you sign Non-Disclosure Agreements in order to protect their growth architecture from competitors, however, these "hypothetical" case studies are actually of real client brands + projects but just changed the brand name to conceal the identity of the brand.

This is a much stronger approach than case studies based purely on hypotheticals, and it's actually standard practice in high-end consulting and infrastructure work. McKinsey, Bain, and boutique agencies do this constantly; "a leading CGP brand in the wellness sector", rather than naming the client.

The NDA framing is credible because at price points where companies operate at $15K–$60K, NDAs are genuinely expected. No serious niche CGP founder would question why a growth architecture provider can't name clients — they'd question it more if you were publicly sharing proprietary infrastructure details.

However, there are a few things to get right for this to work without backfiring:

What makes it credible:

The specificity of the infrastructure detail is what sells it. If the case study shows a real data schema, a real automation workflow architecture, real conversion metrics (even with ranges rather than exact numbers), and a real technical approach, the reader knows this isn't fabricated.

For instance, nobody invents a 47-step n8n workflow with Supabase vectorisation and custom HTML email templates for a hypothetical scenario. The technical depth IS the proof.

The disclaimer itself should be matter-of-fact, not apologetic. Something like: "All client engagements are conducted under mutual NDA. Case studies reflect real infrastructure builds with identifying details changed to protect proprietary growth architecture." One line. No over-explanation.

What to be careful about:

Don't make the disguised brands guessable. If you change the name but leave the product category, pricing structure, geographic market, and founding story intact, anyone in the niche could identify the client.

Change enough details that identification isn't possible; swap the specific product category within the niche CGP space, alter the revenue range, shift the geographic context if necessary.

DO NOT FABRICATE MERTICS you can't defend in conversation. If your prospect asks "that 28% conversion rate improvement, what was the baseline?" you need to be able to answer from memory because you lived the project. Use real metrics from real work, just detached from the identifiable client.

And the most important thing; you need the actual client's permission to use their project data in disguised form, even under NDA. Most NDAs don't automatically permit anonymised case study usage.

Either get explicit written permission for anonymised usage, or ensure your standard client contract includes a clause permitting anonymised case studies.

Here's how we structure them for maximum impact:

Each case study should follow this format:

• the sector context (without identifying the brand),

• the infrastructure problem they came to us with,

• the technical architecture we built (this is where the depth lives; we show the actual system design),

• the measurable outcomes (with ranges if exact numbers are too identifying), and

• the ongoing retainer relationship.

That last part matters because it normalises the retainer conversion — every case study ends with "and now we manage their infrastructure on an ongoing basis."

How we'd put hypothetical case studies to work (and where they'd fail):

They'd fail if presented as hypothetical and left at that. A prospect reading "imagine a wellness brand that..." immediately discounts it. They also fail if they fabricate specific metrics — "increased conversions by 340%" without a real client behind it destroys credibility the moment someone asks for a reference.

However, we realised that if we had no other choice (like those starting out or those tied by strict NDAs) and were to incorporate hypothetical case studies, they would work when reframed as one of these three formats:

1. Methodology demonstrations. Instead of "Client X achieved Y result," we show "here is exactly how the Lead Gen Engine works, step by step, with the actual code architecture, data flow, and automation logic."

This is essentially an open-source version of the methodology; the prospect evaluates the sophistication of the system itself rather than trusting a claimed outcome. We're not saying "trust our results," we're saying "look at how this is built and tell us it wouldn't work."

2. Sector tear-downs. We'd take a real, publicly visible niche CPG brand's digital infrastructure (their website, their email flows, their funnel) and do a professional break-down showing what's broken and how we'd rebuild it with our custom infrastructure.

This is to demonstrate expertise without requiring a client relationship, but rather to show the prospect our analytical depth, applied to a brand they would typically recognise.

3. The offer as a living case study. We consider this the strongest play. Every week the infrastructure operates, it accumulates real data; subscriber growth, engagement rates, content performance, revenue per subscriber. From the time we would've started, we'd aggressively engage/promo with 4–6 weeks of operating data.

By 8–10 weeks. We frame it explicitly: "This is the infrastructure I'm selling you. Here are its real metrics after X weeks of operation. I'll build the same architecture for your brand."

Does anyone else here offer high-ticket offers? Interested in how you navigate keeping client projects and progress private, while also acquiring new clients due to that social proof. (P.S, especially in a world where many are becoming "stingy" about their growth strategies, and rightfully so).

(P.S, for practical examples of what I'm talking about, check out projects we've done through our site; https://darqcodr.com)

Not being able to use client projects as case studies due to NDAs (Non-Disclosure Agreements) can be highly frustrating when you have to prove the value behind your price tag.

However, in our experience, this can be ironed out with clients who acknowledge the value of case studies, and the role they play in a business' growth strategy.

But this can only work when you also acknowledge the highly competitive nature of their industry/sector and how gatekeeping growth strategies from rivals is of utmost importance for long sustainability and survivability.

The Legally Sound & Effective Approach:

Using a disclaimer that; your clients make you sign Non-Disclosure Agreements in order to protect their growth architecture from competitors, however, these "hypothetical" case studies are actually of real client brands + projects but just changed the brand name to conceal the identity of the brand.

This is a much stronger approach than case studies based purely on hypotheticals, and it's actually standard practice in high-end consulting and infrastructure work. McKinsey, Bain, and boutique agencies do this constantly; "a leading CGP brand in the wellness sector", rather than naming the client.

The NDA framing is credible because at price points where companies operate at $15K–$60K, NDAs are genuinely expected. No serious niche CGP founder would question why a growth architecture provider can't name clients — they'd question it more if you were publicly sharing proprietary infrastructure details.

However, there are a few things to get right for this to work without backfiring:

What makes it credible:

The specificity of the infrastructure detail is what sells it. If the case study shows a real data schema, a real automation workflow architecture, real conversion metrics (even with ranges rather than exact numbers), and a real technical approach, the reader knows this isn't fabricated.

For instance, nobody invents a 47-step n8n workflow with Supabase vectorisation and custom HTML email templates for a hypothetical scenario. The technical depth IS the proof.

The disclaimer itself should be matter-of-fact, not apologetic. Something like: "All client engagements are conducted under mutual NDA. Case studies reflect real infrastructure builds with identifying details changed to protect proprietary growth architecture." One line. No over-explanation.

What to be careful about:

Don't make the disguised brands guessable. If you change the name but leave the product category, pricing structure, geographic market, and founding story intact, anyone in the niche could identify the client.

Change enough details that identification isn't possible; swap the specific product category within the niche CGP space, alter the revenue range, shift the geographic context if necessary.

DO NOT FABRICATE MERTICS you can't defend in conversation. If your prospect asks "that 28% conversion rate improvement, what was the baseline?" you need to be able to answer from memory because you lived the project. Use real metrics from real work, just detached from the identifiable client.

And the most important thing; you need the actual client's permission to use their project data in disguised form, even under NDA. Most NDAs don't automatically permit anonymised case study usage.

Either get explicit written permission for anonymised usage, or ensure your standard client contract includes a clause permitting anonymised case studies.

Here's how we structure them for maximum impact:

Each case study should follow this format:

• the sector context (without identifying the brand),

• the infrastructure problem they came to us with,

• the technical architecture we built (this is where the depth lives; we show the actual system design),

• the measurable outcomes (with ranges if exact numbers are too identifying), and

• the ongoing retainer relationship.

That last part matters because it normalises the retainer conversion — every case study ends with "and now we manage their infrastructure on an ongoing basis."

How we'd put hypothetical case studies to work (and where they'd fail):

They'd fail if presented as hypothetical and left at that. A prospect reading "imagine a wellness brand that..." immediately discounts it. They also fail if they fabricate specific metrics — "increased conversions by 340%" without a real client behind it destroys credibility the moment someone asks for a reference.

However, we realised that if we had no other choice (like those starting out or those tied by strict NDAs) and were to incorporate hypothetical case studies, they would work when reframed as one of these three formats:

1. Methodology demonstrations. Instead of "Client X achieved Y result," we show "here is exactly how the Lead Gen Engine works, step by step, with the actual code architecture, data flow, and automation logic."

This is essentially an open-source version of the methodology; the prospect evaluates the sophistication of the system itself rather than trusting a claimed outcome. We're not saying "trust our results," we're saying "look at how this is built and tell us it wouldn't work."

2. Sector tear-downs. We'd take a real, publicly visible niche CPG brand's digital infrastructure (their website, their email flows, their funnel) and do a professional break-down showing what's broken and how we'd rebuild it with our custom infrastructure.

This is to demonstrate expertise without requiring a client relationship, but rather to show the prospect our analytical depth, applied to a brand they would typically recognise.

3. The offer as a living case study. We consider this the strongest play. Every week the infrastructure operates, it accumulates real data; subscriber growth, engagement rates, content performance, revenue per subscriber. From the time we would've started, we'd aggressively engage/promo with 4–6 weeks of operating data.

By 8–10 weeks. We frame it explicitly: "This is the infrastructure I'm selling you. Here are its real metrics after X weeks of operation. I'll build the same architecture for your brand."

Does anyone else here offer high-ticket offers? Interested in how you navigate keeping client projects and progress private, while also acquiring new clients due to that social proof. (P.S, especially in a world where many are becoming "stingy" about their growth strategies, and rightfully so)

(P.S, for practical examples of what I'm talking about, check out projects we've done through our site; https://darqcodr.com)

Not being able to use client projects as case studies due to NDAs (Non-Disclosure Agreements) can be highly frustrating when you have to prove the value behind your price tag.

However, in our experience, this can be ironed out with clients who acknowledge the value of case studies, and the role they play in a business' growth strategy.

But this can only work when you also acknowledge the highly competitive nature of their industry/sector and how gatekeeping growth strategies from rivals is of utmost importance for long sustainability and survivability.

The Legally Sound & Effective Approach:

Using a disclaimer that; your clients make you sign Non-Disclosure Agreements in order to protect their growth architecture from competitors, however, these NDA-protected case studies are actually of real client brands + projects but just changed the brand name to conceal the identity of the brand.

This is a much stronger approach than case studies based purely on hypotheticals, and it's actually standard practice in high-end consulting and infrastructure work. McKinsey, Bain, and boutique agencies do this constantly; "a leading CGP brand in the wellness sector", rather than naming the client.

The NDA framing is credible because at price points where companies operate at $15K–$60K, NDAs are genuinely expected. No serious niche CGP founder would question why a growth architecture provider can't name clients — they'd question it more if you were publicly sharing proprietary infrastructure details.

However, there are a few things to get right for this to work without backfiring:

(NB: for practical examples of what I'm talking about, check out projects we've done through our site; https://darqcodr.com. If you're looking at a solution for lead generation and conversion = System 1 case study. If you're looking at a solution for content automation and brand authority = System 2 case study. If you're looking at a solution for customer retention and optimisation = System 3 case study)

What makes it credible:

The specificity of the infrastructure detail is what sells it. If the case study shows a real data schema, a real automation workflow architecture, real conversion metrics (even with ranges rather than exact numbers), and a real technical approach, the reader knows this isn't fabricated.

For instance, nobody invents a 47-step n8n workflow with Supabase vectorisation and custom HTML email templates for a hypothetical scenario. The technical depth IS the proof.

The disclaimer itself should be matter-of-fact, not apologetic. Something like: "All client engagements are conducted under mutual NDA. Case studies reflect real infrastructure builds with identifying details changed to protect proprietary growth architecture." One line. No over-explanation.

What to be careful about:

Don't make the disguised brands guessable. If you change the name but leave the product category, pricing structure, geographic market, and founding story intact, anyone in the niche could identify the client.

Change enough details that identification isn't possible; swap the specific product category within the niche CGP space, alter the revenue range, shift the geographic context if necessary.

DO NOT FABRICATE MERTICS you can't defend in conversation. If your prospect asks "that 28% conversion rate improvement, what was the baseline?" you need to be able to answer from memory because you lived the project. Use real metrics from real work, just detached from the identifiable client.

And the most important thing; you need the actual client's permission to use their project data in disguised form, even under NDA. Most NDAs don't automatically permit anonymised case study usage.

Either get explicit written permission for anonymised usage, or ensure your standard client contract includes a clause permitting anonymised case studies.

Here's how we structure them for maximum impact:

Each case study should follow this format:

• the sector context (without identifying the brand),

• the infrastructure problem they came to us with,

• the technical architecture we built (this is where the depth lives; we show the actual system design),

• the measurable outcomes (with ranges if exact numbers are too identifying), and

• the ongoing retainer relationship.

That last part matters because it normalises the retainer conversion — every case study ends with "and now we manage their infrastructure on an ongoing basis."

How we'd put NDA-protected case studies to work (and where they'd fail):

They'd fail if presented as hypothetical and left at that. A prospect reading "imagine a wellness brand that..." immediately discounts it. They also fail if they fabricate specific metrics — "increased conversions by 340%" without a real client behind it destroys credibility the moment someone asks for a reference.

However, we realised that if we had no other choice (like those starting out or those tied by strict NDAs) and were to incorporate hypothetical case studies, they would work when reframed as one of these three formats:

1. Methodology demonstrations. Instead of "Client X achieved Y result," we show "here is exactly how the Lead Gen Engine works, step by step, with the actual code architecture, data flow, and automation logic."

This is essentially an open-source version of the methodology; the prospect evaluates the sophistication of the system itself rather than trusting a claimed outcome. We're not saying "trust our results," we're saying "look at how this is built and tell us it wouldn't work."

2. Sector tear-downs. We'd take a real, publicly visible niche CPG brand's digital infrastructure (their website, their email flows, their funnel) and do a professional break-down showing what's broken and how we'd rebuild it with our custom infrastructure.

This is to demonstrate expertise without requiring a client relationship, but rather to show the prospect our analytical depth, applied to a brand they would typically recognise.

3. The offer as a living case study. We consider this the strongest play. Every week the infrastructure operates, it accumulates real data; subscriber growth, engagement rates, content performance, revenue per subscriber. From the time we would've started, we'd aggressively engage/promo with 4–6 weeks of operating data.

By 8–10 weeks. We frame it explicitly: "This is the infrastructure I'm selling you. Here are its real metrics after X weeks of operation. I'll build the same architecture for your brand."

This is how we've structured it. The legal framework, the format, and the technical depth are what make it work at high-ticket price points.

Asset 1 — Hero Product Shot (Stress Recovery Complex)
Minimal product photography of a premium adaptogenic supplement bottle and its box packaging, matte blush-pink and warm sand colourway with dark forest green typography reading "ROOTWELL" vertically along the side, clean sans-serif font. Products standing upright on a raw concrete surface against a soft grey textured backdrop. Soft diffused studio lighting from the left, gentle shadow cast to the right. Shallow depth of field. The bottle is a frosted glass amber apothecary style with a matte black dropper cap. The box is tall and rectangular with rounded edges. Colour palette: dusty rose, sand, charcoal, forest green. Shot on medium format digital camera, 85mm lens, f/2.8. Commercial product photography, editorial quality, no text overlays.

https://preview.redd.it/m7sm7cfbs79h1.png?width=1376&format=png&auto=webp&s=06f3fe5147cb3ce64ff53243c7751c6709742908

Asset 2 — Dark Moody Hero (Daily Wellness Stack)
Dramatic product photography of a matte black cylindrical supplement canister with a minimal label in sage green and off-white, brand name "ROOTWELL" in a clean geometric sans-serif.. Single product centred against a deep near-black background with very subtle dark teal gradient. Hard directional lighting from above creating a sharp highlight on the lid rim and a soft reflection on the surface below. The canister has a premium matte-touch finish. Ultra-clean composition, no props, no distractions. Studio lighting, single key light. Dark, luxurious, masculine energy. Shot on Phase One IQ4, 120mm macro lens, f/4. Commercial product photography, high-end supplement brand aesthetic.

https://preview.redd.it/f67qxqb4t79h1.png?width=1376&format=png&auto=webp&s=b61b6d4c10bfd73ba80239dfb3e337435609d43e

Side note: not matter how clear your prompt is, the AI image generator can also make silly mistakes, like the picture representing Asset 2; it has both "&" and "and" in the product description. These can always be improved, permanently, by creating a skill file that "learns" from all the minor mistakes it makes. The skill file becomes a safeguard for the LLM's "memory".

Do you generate images as a creator? Do your operations include doing these for clients? If so, how do you generate your prompts?

As it has been said many times over, the quality of your prompts will affect the final result that you get from the LLM, however, there's no need to complicate it using all sorts of frameworks. Just being clear in your instructions is more than enough when generating images. Here the prompts (you can customise them for your own preference):

• Asset 1 - Hero Product Shot (Marula Oil Serum)
Minimal product photography of a premium organic skincare serum in a tall frosted glass bottle with a gold-tipped glass dropper, set against a raw plaster wall in warm off-white. The bottle has a simple cream-coloured label with "VELDT" printed in a thin dark olive sans-serif typeface. Next to the bottle, a small pile of dried marula kernels and a single fresh marula fruit sliced in half, revealing the golden flesh. Soft natural window light from the left, casting a gentle warm shadow to the right. Muted earth-tone colour palette: warm cream, olive, gold, terracotta. Shot on medium format camera, 90mm lens, f/2.8. Shallow depth of field, focus on the bottle label. Editorial product photography, organic skincare brand aesthetic. No text overlays.

https://preview.redd.it/ki0utlgi329h1.png?width=1376&format=png&auto=webp&s=fc455c28e0dc3099874cbb4e7b2f78e7cb7cb639

• Asset 2 - Dark Botanical Hero (Treatment Range)
Dramatic product photography of three dark amber glass skincare bottles (a serum, a facial oil, and a mist spray) arranged in a triangular composition on a dark slate surface against a deep charcoal background. Each bottle has a minimal label with the word "VELDT" in muted gold foil. Between the bottles, scattered dried rooibos leaves and small honeybush flowers in muted reds and golds. A single overhead spotlight creates rim lighting on the glass bottles and casts defined shadows downward. Rich, moody, luxurious. Colour palette: deep charcoal, amber, muted gold, dried-blood red accents from the rooibos. Shot on Phase One, 120mm macro lens, f/4. Commercial product photography, premium apothecary aesthetic, high-end organic skincare.

https://preview.redd.it/4k9yq3x0j29h1.png?width=1376&format=png&auto=webp&s=adf471250333607d4e5e5fd8319c68b81518d62a

People who have experience in the photography space (and some product developers) can generate such prompts due to their knowledge of industry jargon and what not. However, that doesn't mean that you need that kind of experience or exposure, a quick search of photography scene descriptions can help you out a lot, including alt text used for accessibility reasons.

How do you generate your image prompts? Do they ever come out exactly as imagined, or do you have to tweak non-stop?

There are numerous and varying reasons why there are brands that prefer going in the direction of the direct-to-consumer distribution model, for instance; high retail margins, which can be seen as an indirect attempt to be a barrier to new market entrants.

However, that doesn't mean that there isn't a workaround that DTC brands can use, which will enable them to retain their online distribution channel while also investing in physical location distribution; without having to pay retain margins.

The "Simple" Solution?

Mall and/or shopping center walkway booths! These give you access to high foot traffic without all the costs associated with being on a retailer's shelves. Sure, the pop-up or booth has its own costs, but there are other benefits that come with this.

Based on client market research experiences, traditional supermarkets usually demand 35% to 50% margins and expensive slotting/listing fees just to place your product on a bottom shelf.

A walkway booth or exhibition-sized stand/pop-up in a high-traffic mall bypasses this system. It replaces high retail margin cuts with a predictable, fixed monthly rent for space.

Here's a list of benefits (of the pop-up as a physical "Conversion Funnel") for a few industry categories:

•Functional Beverages:

Mall walkway booths tap into immediate impulse needs (thirst, energy slumps). Serving chilled samples directly turns foot traffic into immediate DTC cash sales. This is even great if they serve other health benefits, since there is an increase in health consciousness due to food-related health problems like diabetes, cancer, etc.

•Sustainable Snacks:

Fast taste-testing removes the consumer hesitation around healthy or upcycled ingredients. It also lowers risk buying, where a customer does not want to feel buyers remorse by purchasing something that doesn't satisfy them. You could also upsell them a range of you own dips by using them during free tasting-testing.

•Organic Skincare:

Skincare requires tactile validation (scent, skin feel). An optimized pop-up lets consumers try products safely. Staff can use digital tablets to collect email addresses (including any other possible product relevant information), transitioning physical shoppers into recurring online buyers.

Now of course, no one is saying avoid retail stores at all costs, not at all, rather work on a strategy to attract these retailers to your product (putting you in a position to negotiate margins in a favourable manner) and its consumer pull. But, the best and most practical way that would allow to justify your negotiations is; DATA.

The ultimate value of this physical distribution model is that it builds data leverage, which will definitely aid you during the time to settle terms. When they (mass retailers) eventually approach you and ask for a pitch around your figures, you are no longer guessing. You can present a data-heavy pitch deck, you can be as clear as the following:

"We generated $40,000 in monthly sales from a single 3x3m walkway pop-up store in your highest-traffic zone. We collected 5,000 customer emails and maintained a 32% repeat-purchase rate. Our citation-worthy digital campaigns have already established demand in this postal code. Giving us shelf space carries zero risk for your category."

For those who are in the DTC space, is this something you'd have the appetite to try? 🚀💰

There are numerous and varying reasons why there are brands that prefer going in the direction of the direct-to-consumer distribution model, for instance; high retail margins, which can be seen as an indirect attempt to be a barrier to new market entrants.

However, that doesn't mean that there isn't a workaround that DTC brands can use, which will enable them to retain their online distribution channel while also investing in physical location distribution; without having to pay retain margins.

The "Simple" Solution?

Mall and/or shopping center walkway booths! These give you access to high foot traffic without all the costs associated with being on a retailer's shelves. Sure, the pop-up or booth has its own costs, but there are other benefits that come with this.

Based on client market research experiences, traditional supermarkets usually demand 35% to 50% margins and expensive slotting/listing fees just to place your product on a bottom shelf.

A walkway booth or exhibition-sized stand/pop-up in a high-traffic mall bypasses this system. It replaces high retail margin cuts with a predictable, fixed monthly rent for space.

Here's a list of benefits (of the pop-up as a physical "Conversion Funnel") for a few industry categories:

•Functional Beverages:

Mall walkway booths tap into immediate impulse needs (thirst, energy slumps). Serving chilled samples directly turns foot traffic into immediate DTC cash sales. This is even great if they serve other health benefits, since there is an increase in health consciousness due to food-related health problems like diabetes, cancer, etc.

•Sustainable Snacks:

Fast taste-testing removes the consumer hesitation around healthy or upcycled ingredients. It also lowers risk buying, where a customer does not want to feel buyers remorse by purchasing something that doesn't satisfy them. You could also upsell them a range of you own dips by using them during free tasting-testing.

•Organic Skincare:

Skincare requires tactile validation (scent, skin feel). An optimized pop-up lets consumers try products safely. Staff can use digital tablets to collect email addresses (including any other possible product relevant information), transitioning physical shoppers into recurring online buyersNow of course, no one is saying avoid retail stores at all costs, not at all, rather work on a strategy to attract these retailers to your product (putting you in a position to negotiate margins in a favourable manner) and its consumer pull. But, the best and most practical way that would allow to justify your negotiations is; DATA.

The ultimate value of this physical distribution model is that it builds data leverage, which will definitely aid you during the time to settle terms. When they (mass retailers) eventually approach you and ask for a pitch around your figures, you are no longer guessing. You can present a data-heavy pitch deck, you can be as clear as the following:

"We generated $40,000 in monthly sales from a single 3x3m walkway pop-up store in your highest-traffic zone. We collected 5,000 customer emails and maintained a 32% repeat-purchase rate. Our citation-worthy digital campaigns have already established demand in this postal code. Giving us shelf space carries zero risk for your category."

For those who are in the DTC space and are looking into increasing sales via brick & mortar retail distribution channels, is the above something you would consider, if not, why? Would you prefer the pop-up approach or the retailer approach?

There are numerous and varying reasons why there are brands that prefer going in the direction of the direct-to-consumer distribution model, for instance; high retail margins, which can be seen as an indirect attempt to be a barrier to new market entrants.

However, that doesn't mean that there isn't a workaround that DTC brands can use, which will enable them to retain their online distribution channel while also investing in physical location distribution; without having to pay retain margins.

The "Simple" Solution?

Mall and/or shopping center walkway booths! These give you access to high foot traffic without all the costs associated with being on a retailer's shelves. Sure, the pop-up or booth has its own costs, but there are other benefits that come with this.

Based on client market research experiences, traditional supermarkets usually demand 35% to 50% margins and expensive slotting/listing fees just to place your product on a bottom shelf.

A walkway booth or exhibition-sized stand/pop-up in a high-traffic mall bypasses this system. It replaces high retail margin cuts with a predictable, fixed monthly rent for space.

Here's a list of benefits (of the pop-up as a physical "Conversion Funnel") for a few industry categories:

•Functional Beverages:

Mall walkway booths tap into immediate impulse needs (thirst, energy slumps). Serving chilled samples directly turns foot traffic into immediate DTC cash sales. This is even great if they serve other health benefits, since there is an increase in health consciousness due to food-related health problems like diabetes, cancer, etc.

•Sustainable Snacks:

Fast taste-testing removes the consumer hesitation around healthy or upcycled ingredients. It also lowers risk buying, where a customer does not want to feel buyers remorse by purchasing something that doesn't satisfy them. You could also upsell them a range of you own dips by using them during free tasting-testing.

•Organic Skincare:

Skincare requires tactile validation (scent, skin feel). An optimized pop-up lets consumers try products safely. Staff can use digital tablets to collect email addresses (including any other possible product relevant information), transitioning physical shoppers into recurring online buyers.

Now of course, no one is saying avoid retail stores at all costs, not at all, rather work on a strategy to attract these retailers to your product (putting you in a position to negotiate margins in a favourable manner) and its consumer pull. But, the best and most practical way that would allow to justify your negotiations is; DATA.

The ultimate value of this physical distribution model is that it builds data leverage, which will definitely aid you during the time to settle terms. When they (mass retailers) eventually approach you and ask for a pitch around your figures, you are no longer guessing. You can present a data-heavy pitch deck, you can be as clear as the following:

"We generated $40,000 in monthly sales from a single 3x3m walkway pop-up store in your highest-traffic zone. We collected 5,000 customer emails and maintained a 32% repeat-purchase rate. Our citation-worthy digital campaigns have already established demand in this postal code. Giving us shelf space carries zero risk for your category."

For those who are in the DTC space and are looking into increasing sales via brick & mortar retail distribution channels, is the above something you would consider, if not, why? Would you prefer the pop-up approach or the retailer approach?

Online trust has been dwindling for many years now, the days when an influencer would share or say something and it would be taken at face value are over. Or when a new brand comes out with a new offer claiming to be healthier, etc. no one believes that immediately like before.

Many people now face a marketplace saturated with generic, AI-generated content. To stand out, earn trust, and rank on search engines, niche CPG brands must shift from basic information-sharing to publishing deeply researched, authoritative material.

For anyone in the space of helping brands become category leaders and authorities, perhaps you've also noticed that the shift is being influenced by:

Key Drivers Behind The Shift

•Search Engine Algorithms;

Platforms like Google, for instance, made it clear years ago (during it's regular updates), that it heavily prioritize Experience, Expertise, Authoritativeness, and Trustworthiness (E-E-A-T) in order for it to rank content successfully or content that is more helpful for searchers.

•AI Engine Sourcing;

LLMs and AI search engines actively look for and cite original data, giving massive organic visibility to the primary source. And there are many people who have decided to first look at the sources that LLMs and search engines provide before agreeing with what is being presented to them.

•B2B Buyer Skepticism;

Modern buyers do not trust generic advice. They demand data, case studies, and proof before making purchasing decisions. This is connected to the point made above, regarding influencers, merely sharing info won't cut it anymore. People want to know what warrants YOU sharing this info.

•Information Overload;

Lower barriers to content creation have flooded the internet, making unique, citation-worthy insights is the only way to cut through the noise. And one of the best ways to have leverage over the info overload? Investing in owned media and controlling your content's distribution.

Characteristics of Citation-Worthy Content

•Original Research;

As an established creator or niche CPG brand, it would be easier to access industry-level insights from players within the sector/industry due to your "clout". You are then in a position to offer your followers; proprietary industry surveys, benchmarks, and data reports.

•Subject Matter Expertise;

Insights directly from verified internal or external industry experts. Being an industry player allows you access to such experts, their insights offer more texture to your content and have enough pulling weight due to the authority.

•Unique Frameworks;

Once you decide to be more innovative when it comes to your distribution channels and methods, you more likely to come up with; novel intellectual property, proprietary models, and new methodologies that impact your industry in ways you didn't even think possible.

•Deep Case Studies;

Granular, step-by-step breakdowns of real business problems and their quantified results. Personal opinions, based on experience, are usually more than welcome by those who are still learning or continuously learn to improve their knowledge.

Strategic Benefits for Business

Whether you're a niche CPG brand or a creator making content (for monetisation reasons) in the space, having some business savvy regarding the usage of content as an authority magnet; to attract quality leads/interest. Here are a few benefits:

•Backlink Generation;

This is a basic tactic in search engine ranking game. High-quality data naturally attracts links from journalists and industry blogs, boosting domain authority as well as content authority.

•Brand Premium;

Brands that consistently publish authoritative content position themselves as industry thought leaders, justifying higher pricing. Who wouldn't want to pay more for someone who knows what they are doing? You know they are less likely to make mistake and cost you more money.

•Shortened Sales Cycle;

Educational, evidence-based content builds early trust, moving prospects through the sales funnel faster. Especially practical education that can be applied and the evidence seen through the implementation of the content guidelines.

What's your strategy in gaining authority and positioning your brand offer (product or content) as the "superior" selection in the market? Is there anything familiar above or have you taken a completely different route?

Online trust has been dwindling for many years now, the days when an influencer would share or say something and it would be taken at face value are over. Or when a new brand comes out with a new offer claiming to be healthier, etc. no one believes that immediately like before.

Many people now face a marketplace saturated with generic, AI-generated content. To stand out, earn trust, and rank on search engines, niche CPG brands must shift from basic information-sharing to publishing deeply researched, authoritative material.

For anyone in the space of helping brands become category leaders and authorities, perhaps you've also noticed that the shift is being influenced by:

Key Drivers Behind The Shift

•Search Engine Algorithms;

Platforms like Google, for instance, made it clear years ago (during it's regular updates), that it heavily prioritize Experience, Expertise, Authoritativeness, and Trustworthiness (E-E-A-T) in order for it to rank content successfully or content that is more helpful for searchers.

•AI Engine Sourcing;

LLMs and AI search engines actively look for and cite original data, giving massive organic visibility to the primary source. And there are many people who have decided to first look at the sources that LLMs and search engines provide before agreeing with what is being presented to them.

•B2B Buyer Skepticism;

Modern buyers do not trust generic advice. They demand data, case studies, and proof before making purchasing decisions. This is connected to the point made above, regarding influencers, merely sharing info won't cut it anymore. People want to know what warrants YOU sharing this info.

•Information Overload;

Lower barriers to content creation have flooded the internet, making unique, citation-worthy insights is the only way to cut through the noise. And one of the best ways to have leverage over the info overload? Investing in owned media and controlling your content's distribution.

Characteristics of Citation-Worthy Content

•Original Research;

As an established creator or niche CPG brand, it would be easier to access industry-level insights from players within the sector/industry due to your "clout". You are then in a position to offer your followers; proprietary industry surveys, benchmarks, and data reports.

•Subject Matter Expertise;

Insights directly from verified internal or external industry experts. Being an industry player allows you access to such experts, their insights offer more texture to your content and have enough pulling weight due to the authority.

•Unique Frameworks;

Once you decide to be more innovative when it comes to your distribution channels and methods, you more likely to come up with; novel intellectual property, proprietary models, and new methodologies that impact your industry in ways you didn't even think possible.

•Deep Case Studies;

Granular, step-by-step breakdowns of real business problems and their quantified results. Personal opinions, based on experience, are usually more than welcome by those who are still learning or continuously learn to improve their knowledge.

Strategic Benefits for Business

Whether you're a niche CPG brand or a creator making content (for monetisation reasons) in the space, having some business savvy regarding the usage of content as an authority magnet; to attract quality leads/interest. Here are a few benefits:

•Backlink Generation;

This is a basic tactic in search engine ranking game. High-quality data naturally attracts links from journalists and industry blogs, boosting domain authority as well as content authority.

•Brand Premium;

Brands that consistently publish authoritative content position themselves as industry thought leaders, justifying higher pricing. Who wouldn't want to pay more for someone who knows what they are doing? You know they are less likely to make mistake and cost you more money.

•Shortened Sales Cycle;

Educational, evidence-based content builds early trust, moving prospects through the sales funnel faster. Especially practical education that can be applied and the evidence seen through the implementation of the content guidelines.

What's your strategy in gaining authority and positioning your brand offer (product or content) as the "superior" selection in the market? Is there anything familiar above or have you taken a completely different route?

Let's be honest, it seems like every service nowadays is becoming accessible via a subscription, ownership is being discredited left right and center while renting is encouraged as the way to go, but it makes one wonder...

is this not aligned with the Davos agenda of ensuring now ones owns anything but we are all subject to a rentier class that isn't interested in true job creation but rather "autonomous everything"?

What does this mean for small and medium sized brands that are passionate about making a difference, with their business, in their community?

From a control, access, and asset appreciation perspective, this shift creates severe economic vulnerabilities for founder/creator-led DTC brands. Here's how;

1. The Loss of Direct Control

• Aggregator gatekeeping: Brands become completely dependent on rental platforms and subscription marketplaces to reach their audience.
• Algorithmic vulnerability: Third-party platform changes can instantly wipe out a brand's visibility and customer access overnight.
• IP dilution: White-label manufacturing by mega-platforms reduces unique founder formulas to generic, commoditized rental options.

2. Severed Customer Access

• Data blackouts: Large rental and distribution networks withhold critical first-party customer data and purchasing behavior.
• Loss of loyalty: Consumers form relationships with the convenience platform rather than the individual creator brand.
• Interrupted feedback: Creators lose the direct communication loops needed to test, refine, and launch niche products.

3. Destruction of Appreciating Assets

• Inventory devaluation: Products built for a circular economy must be ultra-durable, turning unsold inventory into a massive storage liability.
• Depreciating hardware: Shifting to "Product-as-a-Service" requires funding physical assets that lose value rapidly over time.
• Suppressed exit multiples: Investors penalize brands lacking proprietary customer data, leading to much lower acquisition valuations.

However, investing in your own custom infrastructure protects you (founders and creators) from platform dependency and turns also turns your bespoke software into an appreciating business asset.

1. Absolute Control Over the Value Chain

• Zero platform risk: Owning the code prevents sudden algorithm changes or policy shifts from destroying your business overnight.
• Prohibitive copycat barriers: Competitors using standard Shopify templates cannot easily replicate unique, proprietary customer experiences.
• Unrestricted workflow design: Creators can build custom automated workflows tailored exactly to complex, non-traditional subscription or rental business models.

2. Monopolistic Data Access and Retention

• Granular data schemas: Custom databases capture exact customer behavioral nuances that off-the-shelf software completely misses.
• Unfiltered first-party data: Direct database ownership bypasses the data-withholding tactics of third-party marketplaces and aggregators.
• Predictive asset refinement: Custom refinement systems automatically process user feedback to optimize inventory levels and product formulations in real time.

3. Creation of an Appreciating Tech Asset

• Software-driven valuations: Investors value proprietary software infrastructure at much higher revenue multiples than traditional e-commerce stores.
• Licensing revenue streams: Founders can license their custom backend infrastructure or automation workflows to other non-competing creators.
• IP portfolio expansion: Custom code, unique data schemas, and proprietary algorithms become valuable intellectual property that increases company equity.

4. Hyper-Personalised Customer Lock-In

• Differentiated custom frontends: Creators can design highly interactive digital experiences that deepen community loyalty far beyond a basic shopping cart.
• Frictionless access management: Custom systems allow founders to bundle physical products, digital content, and community access seamlessly into one profile.
• Adaptive retention loops: Automated workflows can instantly trigger personalised rewards or interventions based on exact customer usage patterns.

So, if you were aware of these future risks before this post, what were you planning on doing to mitigate these risks? If this is news to you, how will these coming changes affect you and would you follow the solution outlined above?

Let's be honest, it seems like every service nowadays is becoming accessible via a subscription, ownership is being discredited left right and center while renting is encouraged as the way to go, but it makes one wonder...

is this not aligned with the Davos agenda of ensuring now ones owns anything but we are all subject to a rentier class that isn't interested in true job creation but rather "autonomous everything"?

What does this mean for small and medium sized brands that are passionate about making a difference, with their business, in their community?

From a control, access, and asset appreciation perspective, this shift creates severe economic vulnerabilities for founder/creator-led DTC brands. Here's how;

1. The Loss of Direct Control

• Aggregator gatekeeping: Brands become completely dependent on rental platforms and subscription marketplaces to reach their audience.
• Algorithmic vulnerability: Third-party platform changes can instantly wipe out a brand's visibility and customer access overnight.
• IP dilution: White-label manufacturing by mega-platforms reduces unique founder formulas to generic, commoditized rental options.

2. Severed Customer Access

• Data blackouts: Large rental and distribution networks withhold critical first-party customer data and purchasing behavior.
• Loss of loyalty: Consumers form relationships with the convenience platform rather than the individual creator brand.
• Interrupted feedback: Creators lose the direct communication loops needed to test, refine, and launch niche products.

3. Destruction of Appreciating Assets

• Inventory devaluation: Products built for a circular economy must be ultra-durable, turning unsold inventory into a massive storage liability.
• Depreciating hardware: Shifting to "Product-as-a-Service" requires funding physical assets that lose value rapidly over time.
• Suppressed exit multiples: Investors penalize brands lacking proprietary customer data, leading to much lower acquisition valuations.

However, investing in your own custom infrastructure protects you (founders and creators) from platform dependency and turns also turns your bespoke software into an appreciating business asset.

1. Absolute Control Over the Value Chain

• Zero platform risk: Owning the code prevents sudden algorithm changes or policy shifts from destroying your business overnight.
• Prohibitive copycat barriers: Competitors using standard Shopify templates cannot easily replicate unique, proprietary customer experiences.
• Unrestricted workflow design: Creators can build custom automated workflows tailored exactly to complex, non-traditional subscription or rental business models.

2. Monopolistic Data Access and Retention

• Granular data schemas: Custom databases capture exact customer behavioral nuances that off-the-shelf software completely misses.
• Unfiltered first-party data: Direct database ownership bypasses the data-withholding tactics of third-party marketplaces and aggregators.
• Predictive asset refinement: Custom refinement systems automatically process user feedback to optimize inventory levels and product formulations in real time.

3. Creation of an Appreciating Tech Asset

• Software-driven valuations: Investors value proprietary software infrastructure at much higher revenue multiples than traditional e-commerce stores.
• Licensing revenue streams: Founders can license their custom backend infrastructure or automation workflows to other non-competing creators.
• IP portfolio expansion: Custom code, unique data schemas, and proprietary algorithms become valuable intellectual property that increases company equity.

4. Hyper-Personalised Customer Lock-In

• Differentiated custom frontends: Creators can design highly interactive digital experiences that deepen community loyalty far beyond a basic shopping cart.
• Frictionless access management: Custom systems allow founders to bundle physical products, digital content, and community access seamlessly into one profile.
• Adaptive retention loops: Automated workflows can instantly trigger personalised rewards or interventions based on exact customer usage patterns.

So, if you were aware of these future risks before this post, what were you planning on doing to mitigate these risks? If this is news to you, how will these coming changes affect you and would you follow the solution outlined above?

Let's be honest, it seems like every service nowadays is becoming accessible via a subscription, ownership is being discredited left right and center while renting is encouraged as the way to go, but it makes one wonder...

is this not aligned with the Davos agenda of ensuring now ones owns anything but we are all subject to a rentier class that isn't interested in true job creation but rather "autonomous everything"?

What does this mean for small and medium sized brands that are passionate about making a difference, with their business, in their community?

From a control, access, and asset appreciation perspective, this shift creates severe economic vulnerabilities for founder/creator-led DTC brands. Here's how;

1. The Loss of Direct Control

• Aggregator gatekeeping: Brands become completely dependent on rental platforms and subscription marketplaces to reach their audience.
• Algorithmic vulnerability: Third-party platform changes can instantly wipe out a brand's visibility and customer access overnight.
• IP dilution: White-label manufacturing by mega-platforms reduces unique founder formulas to generic, commoditized rental options.

2. Severed Customer Access

• Data blackouts: Large rental and distribution networks withhold critical first-party customer data and purchasing behavior.
• Loss of loyalty: Consumers form relationships with the convenience platform rather than the individual creator brand.
• Interrupted feedback: Creators lose the direct communication loops needed to test, refine, and launch niche products.

3. Destruction of Appreciating Assets

• Inventory devaluation: Products built for a circular economy must be ultra-durable, turning unsold inventory into a massive storage liability.
• Depreciating hardware: Shifting to "Product-as-a-Service" requires funding physical assets that lose value rapidly over time.
• Suppressed exit multiples: Investors penalize brands lacking proprietary customer data, leading to much lower acquisition valuations.

However, investing in your own custom infrastructure protects you (founders and creators) from platform dependency and turns also turns your bespoke software into an appreciating business asset.

1. Absolute Control Over the Value Chain

• Zero platform risk: Owning the code prevents sudden algorithm changes or policy shifts from destroying your business overnight.
• Prohibitive copycat barriers: Competitors using standard Shopify templates cannot easily replicate unique, proprietary customer experiences.
• Unrestricted workflow design: Creators can build custom automated workflows tailored exactly to complex, non-traditional subscription or rental business models.

2. Monopolistic Data Access and Retention

• Granular data schemas: Custom databases capture exact customer behavioral nuances that off-the-shelf software completely misses.
• Unfiltered first-party data: Direct database ownership bypasses the data-withholding tactics of third-party marketplaces and aggregators.
• Predictive asset refinement: Custom refinement systems automatically process user feedback to optimize inventory levels and product formulations in real time.

3. Creation of an Appreciating Tech Asset

• Software-driven valuations: Investors value proprietary software infrastructure at much higher revenue multiples than traditional e-commerce stores.
• Licensing revenue streams: Founders can license their custom backend infrastructure or automation workflows to other non-competing creators.
• IP portfolio expansion: Custom code, unique data schemas, and proprietary algorithms become valuable intellectual property that increases company equity.

4. Hyper-Personalised Customer Lock-In

• Differentiated custom frontends: Creators can design highly interactive digital experiences that deepen community loyalty far beyond a basic shopping cart.
• Frictionless access management: Custom systems allow founders to bundle physical products, digital content, and community access seamlessly into one profile.
• Adaptive retention loops: Automated workflows can instantly trigger personalised rewards or interventions based on exact customer usage patterns.

So, if you were aware of these future risks before this post, what were you planning on doing to mitigate these risks? If this is news to you, how will these coming changes affect you and would you follow the solution outlined above?

Let's be honest, it seems like every service nowadays is becoming accessible via a subscription, ownership is being discredited left right and center while renting is encouraged as the way to go, but it makes one wonder...

is this not aligned with the Davos agenda of ensuring now ones owns anything but we are all subject to a rentier class that isn't interested in true job creation but rather "autonomous everything"?

What does this mean for small and medium sized brands that are passionate about making a difference, with their business, in their community?

From a control, access, and asset appreciation perspective, this shift creates severe economic vulnerabilities for founder/creator-led DTC brands. Here's how;

1. The Loss of Direct Control

• Aggregator gatekeeping: Brands become completely dependent on rental platforms and subscription marketplaces to reach their audience.
• Algorithmic vulnerability: Third-party platform changes can instantly wipe out a brand's visibility and customer access overnight.
• IP dilution: White-label manufacturing by mega-platforms reduces unique founder formulas to generic, commoditized rental options.

2. Severed Customer Access

• Data blackouts: Large rental and distribution networks withhold critical first-party customer data and purchasing behavior.
• Loss of loyalty: Consumers form relationships with the convenience platform rather than the individual creator brand.
• Interrupted feedback: Creators lose the direct communication loops needed to test, refine, and launch niche products.

3. Destruction of Appreciating Assets

• Inventory devaluation: Products built for a circular economy must be ultra-durable, turning unsold inventory into a massive storage liability.
• Depreciating hardware: Shifting to "Product-as-a-Service" requires funding physical assets that lose value rapidly over time.
• Suppressed exit multiples: Investors penalize brands lacking proprietary customer data, leading to much lower acquisition valuations.

However, investing in your own custom infrastructure protects you (founders and creators) from platform dependency and turns also turns your bespoke software into an appreciating business asset.

1. Absolute Control Over the Value Chain

• Zero platform risk: Owning the code prevents sudden algorithm changes or policy shifts from destroying your business overnight.
• Prohibitive copycat barriers: Competitors using standard Shopify templates cannot easily replicate unique, proprietary customer experiences.
• Unrestricted workflow design: Creators can build custom automated workflows tailored exactly to complex, non-traditional subscription or rental business models.

2. Monopolistic Data Access and Retention

• Granular data schemas: Custom databases capture exact customer behavioral nuances that off-the-shelf software completely misses.
• Unfiltered first-party data: Direct database ownership bypasses the data-withholding tactics of third-party marketplaces and aggregators.
• Predictive asset refinement: Custom refinement systems automatically process user feedback to optimize inventory levels and product formulations in real time.

3. Creation of an Appreciating Tech Asset

• Software-driven valuations: Investors value proprietary software infrastructure at much higher revenue multiples than traditional e-commerce stores.
• Licensing revenue streams: Founders can license their custom backend infrastructure or automation workflows to other non-competing creators.
• IP portfolio expansion: Custom code, unique data schemas, and proprietary algorithms become valuable intellectual property that increases company equity.

4. Hyper-Personalised Customer Lock-In

• Differentiated custom frontends: Creators can design highly interactive digital experiences that deepen community loyalty far beyond a basic shopping cart.
• Frictionless access management: Custom systems allow founders to bundle physical products, digital content, and community access seamlessly into one profile.
• Adaptive retention loops: Automated workflows can instantly trigger personalised rewards or interventions based on exact customer usage patterns.

So, if you were aware of these future risks before this post, what were you planning on doing to mitigate these risks? If this is news to you, how will these coming changes affect you and would you follow the solution outlined above?

https://reddit.com/link/1tdsxay/video/smn6l4hj5a1h1/player

The emotional value of a brand cannot be underestimated nor minimised as it is closely related to its financial value.

People choose the brands they choose because of the emotional association and connection created between the two of the them. And that emotional association or connection can be sparked by just providing free value to those who really need it to solve a problem they may be currently having.

But also, you become the desired choice due to the relevance between their customers/clients identity and your brand's identity. When people feel like a brand "gets them", that it communicates who they are through the creative expression of a product, they become ambassadors.

Many niche CPG brands have a solid base (in terms of their reason for existing) that can be tapped into and transformed into a personality that their niche audience can relate to - this builds a relationship with customers in ways that mass market brands could never.

Unfortunately, too many niche CPG brands do not leverage the uniqueness based in their; origins story, packaging design, colour palette (believe it or not), brand voice, ingredients, taste profile, preparation methods, etc.

Their "quirkiness" is the difference that many people, who are drowning in generic fluff branding, are craving to see true creativity and functional solutions, 2 things that niche brand "effortlessly" offer.

In these times when so many people have mixed feelings about products and services from large corporations, do you think that perhaps this could be the era for those creative and innovative small (and medium-sized) businesses in the niche sectors of the CPG industry?

Those who are successful in content creation today know one of their biggest initial mistakes:

IRELEVANT CONTENT!

They overlooked the value that they already had (prior knowledge) and the potential to sell to others who are in need of that value.

This created a rather long wait to success and financial freedom - but had great lessons, and one of the biggest lessons one can learn along the journey, is:

Be an authority in your chosen field, specialists are appreciated and respected more than generalists.

It is no coincidence that some of the most successful creators are seen as some sort of authority, particularly in a world where so many people are confused about numerous issues happening around them and need some form of guidance.

They typically gain authority by doing the following:

→Thorough research about the market they are in, therefore providing valuable content to their audience.

→Collaborating with other creators of brands that have authority in the field they are in.

People don't just trust the creators they trust, there's a good reason - validation of a truth they never knew about, but are willing to learn about.

Has this been your experience as well? Either as a creator or someone who works with creators?

Those who are successful in content creation today know one of their biggest initial mistakes:

IRELEVANT CONTENT!

They overlooked the value that they already had (prior knowledge) and the potential to sell to others who are in need of that value.

This created a rather long wait to success and financial freedom - but had great lessons, and one of the biggest lessons one can learn along the journey, is:

Be an authority in your chosen field, specialists are appreciated and respected more than generalists.

It is no coincidence that some of the most successful creators are seen as some sort of authority, particularly in a world where so many people are confused about numerous issues happening around them and need some form of guidance.

They typically gain authority by doing the following:

→Thorough research about the market they are in, therefore providing valuable content to their audience.

→Collaborating with other creators of brands that have authority in the field they are in.

People don't just trust the creators they trust, there's a good reason - validation of a truth they never knew about, but are willing to learn about.

Has this been your experience as well? Either as a creator or someone who works with creators?