Josh Hedges started beHuman, a creative business working with direct-to-consumer brands on performance advertising. Hedges's posts describe its approach as using customer insight and varied creative to learn why ads work, and say the business is expanding into live commerce for UK clients.
Treat a winning ad as research: identify its angle, emotion and customer awareness stage.
Visually distinct creative gives Meta's system more varied inputs to find customers.
beHuman is expanding into live commerce for UK clients through a limited founding cohort.
Check first: Ask for recent post impressions, engagement, audience geography and job function, and live commerce evidence.
Main ideas
A winning ad is only useful if you know why it won · Creative diversity is what lets Meta's AI find customers · Simple is not easy: execution beats the search for a new unlock
Josh Hedges founded beHuman, a creative business working with direct-to-consumer brands on performance advertising.
In LinkedIn posts, they argue that effective advertising starts with understanding people and learning from creative results—not simply producing more ads or chasing a new format.
They describe beHuman’s work as combining customer insight, varied creative and fast production, and say the business is expanding into live commerce for UK clients.
Follow their work for practical views on how brands can learn from ads and build a more consistent creative process.
Hedges connects ad production to the reasoning behind it.
They say teams should treat a winning ad as research: identify its angle, the emotion it triggered and the customer’s awareness stage, then use those signals to guide new creative.
They also argue that visually distinct creative gives Meta’s system more varied inputs, while repeated hands-on work builds judgment that benchmarks alone cannot provide.
A studio post shows how they apply that thinking: strategy comes before filming, with different setups for UGC-style video, talking heads, product photography and founder content.
They also describe a move toward live commerce, where customers can see a product, ask questions and buy in real time.
Ask for evidence of the outcomes of that expansion.
Josh Hedges started beHuman, a creative business that works with direct-to-consumer brands on performance advertising.
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Across five LinkedIn posts, they argue that the work is less about finding a hidden tactic than about understanding customers and building a system that learns.
The recurring priorities are to treat a winning ad as a research document and extract why it worked; give Meta varied creative inputs instead of running one winner until it dies; and accept that the principles of growth are simple but require consistent execution.
They also describe building a studio so strategic planning and fast production sit in one place, and announcing an expansion into live commerce for UK clients after questioning whether the original approach had drifted from its purpose.
A winning ad is only useful if you know why it won
Josh Hedges argues that most brands scale a successful ad until it stops working and then start over, restarting the learning process.
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The alternative is to treat each winner as a research document: identify the angle, the emotion it triggered, and the awareness stage it spoke to, then brief new creative against those signals.
In a post about Meta account practices, the same priority appears as signal extraction over winner-finding.
Creative compounds when teams capture the reasons for success rather than simply repeat individual ads.
In the beHuman retrospective, Josh Hedges writes that brands which grow past a ceiling treat every winning ad like a research document—what angle landed, what emotion it triggered, what awareness stage it spoke to—instead of scaling one performer until it dies and starting over. The account-practices post contrasts this with hook formulas and CTR benchmarks, and lists signal extraction over winner-finding as one of four areas the top 1% of Meta accounts focus on.
One post presents the idea as a lesson from six years of work; the other presents it as current account practice.
Creative diversity is what lets Meta's AI find customers
Josh Hedges says Meta's AI can find buyers only if it receives enough varied inputs.
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Running one winning format repeatedly teaches the system little, while creative that varies by angle, format, and awareness stage gives it more distinct signals to learn from.
The account-practices post makes this concrete with entity ID diversity: whether creatives are visually distinct enough for Meta's system to see them as separate signals.
The priority is not more testing for its own sake, but testing across genuinely different strategic territories.
The six-year post says brands should give the algorithm diversity across angles, formats, and awareness stages rather than run one winning format to death.
The account-practices post lists entity ID diversity, micro-persona briefs, awareness-stage mapping, and signal extraction as what the top 1% of Meta accounts focus on.
It says common LinkedIn advice about hook formulas, UGC versus polished creative, 'test more creatives,' and CTR benchmarks is about 18 months behind what those accounts show.
Simple is not easy: execution beats the search for a new unlock
Josh Hedges draws a line between simple and easy.
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The strategy for growing a DTC brand is simple: understand the customer, build creative that speaks to them, fund what works, read the signals, expand what wins, and repeat.
The hard part is doing those steps consistently under pressure, with a team, spend to justify, clients expecting results, and a shifting market.
They argue that founders often look for a new format, platform, or agency when the real unlock is consistent execution of what they already know.
In the post titled 'Simple ≠ Easy,' Josh Hedges writes that most brands know the path in theory but very few have the system to execute it consistently. The six-year post makes the same point from a different direction: repetition—making bad ads, understanding why, and making better ones—builds the pattern recognition that separates creative strategy from guesswork.
Strategy before speed: a studio built so production does not skip the thinking
Josh Hedges describes building a larger studio to remove the trade-off between speed and strategy.
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The space includes a UGC set designed to look like a customer's home, a high-production set for talking heads, VSLs, and founder content, product photography rigs for fast static turnaround, and a strategy room where every brief is worked out before filming. Fast production is only valuable if the strategic work happens first; without it, a studio is just an expensive camera rental.
In the studio post, Josh Hedges says most creative agencies run on a laptop and a Slack channel, which works until a brand needs 16 strategic assets in two weeks. The studio was built so speed never becomes an excuse to skip the thinking: strategy first, then execute fast.
beHuman's move into live commerce: a deliberate change in direction
Josh Hedges writes that after seven years, the question was whether beHuman should still exist, because the content, automation, and UGC work the business was doing made money but moved away from the human relationships it was meant to build.
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The response is an expansion into live commerce, which they describe as one of the few remaining places a brand can be human: a customer can watch a product being used, ask questions, get answers in real time, and buy in the same moment.
The post announces a founding cohort for UK clients and cites China's live commerce market and a comparison from Gary Vaynerchuk to the dot-com bubble.
Ask for evidence of client results and details of the cohort.
In the live commerce post, Josh Hedges writes: 'For the first time in seven years, I had to ask myself a question I never thought I would ask... Should beHuman still exist?' The post says the business will focus on live commerce for UK clients, argues that it creates genuine connection rather than just conversion, and cites roughly $900bn in China's live commerce market in 2025 while saying the UK is barely scratching the surface.
The posts show a shift from a performance creative business that was making money but drifting from its founding belief toward live commerce, the channel Josh Hedges expects to define the next decade. Ask for dates to establish the sequence.
The clearest statement of how Josh Hedges thinks about performance creative.
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Start here for the three ideas that recur in other posts: repetition, learning why something worked, and creative diversity.
Josh Hedges started beHuman six years ago, believing brands were failing to understand people, not buy ads.
The post lists three practices Hedges says growing brands use: build pattern recognition by making and refining ads repeatedly; treat each winning ad as a research document that records its angle, emotion, and awareness stage; and give Meta's AI diverse creative inputs instead of running one winning format until it dies.
Hedges closes by saying growth is simple but not easy and asks readers which part of scaling creative they find hardest.
For brands planning a campaign
A brand brief calling for a performance creative system can use this post as Hedges's summary of what that system includes. It offers a direct hook for signal extraction and diverse creative inputs, rather than relying on one winning format.
This post lays out what Josh Hedges sees as current.
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Use it to check whether the diagnosis matches a brand's existing approach and to see the vocabulary they bring to a creative brief.
Hedges argues that common LinkedIn advice on hook formulas, UGC versus polished, “test more creatives,” and CTR benchmarks is about 18 months behind what works in accounts.
The post lists what Hedges says the top 1% of Meta accounts focus on: making creatives visually distinct enough for Meta's system to read them as separate signals, writing briefs around a buyer's specific emotional state, mapping creative to the customer's awareness stage, and extracting why an ad worked rather than simply scaling it.
Hedges says this reflects account data, not a hot take, and asks what others are seeing.
For brands planning a campaign
A brand brief aimed at improving a creative system can ask Josh Hedges to work across these four areas. The post offers a concrete, current framework to test rather than a general promise to make better ads.
Hedges explains a change in beHuman's direction and why the business is adding live commerce to its performance creative offer.
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Hedges writes that, after seven years, they questioned whether beHuman should continue: the studio's content, automation, and UGC work made money but had moved away from the human relationships the business set out to build.
They say beHuman is expanding into live commerce and opening a founding cohort for UK clients.
Hedges argues that live commerce lets customers watch a product being used, ask questions, get answers in real time, and buy in the same moment.
The post cites roughly $900bn in China's 2025 live commerce market and a Gary Vaynerchuk comparison to the dot-com bubble, while saying the UK is far behind.
For brands planning a campaign
Live commerce is an option to evaluate alongside creative production. For campaigns involving real-time selling or community-led buying, this post outlines Josh Hedges's approach and a UK cohort offer.
It gives buyers a way to judge whether strategic planning and fast production are part of the same offer.
Hedges describes building a 10x square-foot studio so DTC brands don't have to choose between speed and strategy.
It includes a UGC set designed to look like a customer's home, a higher-production set for talking heads, VSLs, and founder content, product photography rigs, and a strategy room where each brief is worked out before filming.
Hedges says the strategy room matters most: without strategy, a studio is an expensive camera rental.
The goal, they say, is to execute quickly without skipping the thinking.
For brands planning a campaign
A brand that needs a high volume of assets quickly can use this post to ask how a brief moves through planning and production. It supports questions about turnaround, asset types, and where strategy fits in the process.
This post distills Hedges's view that execution, not hidden knowledge, separates brands.
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It sets out what a creative system needs to deliver week after week.
Hedges argues that simple and easy are different.
Growing a DTC brand is simple: understand the customer, build creative that speaks to them, fund what works, read the signals, expand what wins, and repeat.
The hard part, they say, is doing that consistently under pressure from a team, spend, clients, and a shifting market.
Founders look for a new format, platform, or agency, Hedges writes, when the unlock is usually consistent execution of what they already know.
The post asks whether readers do that work every day.
For brands planning a campaign
A campaign built around a repeatable creative process can use this post to frame the offer around consistent execution. It suits a brief focused on building a system rather than running a one-off test.
Treat winning ads as research, not just scale targets
Josh Hedges argues that most brands find a winning ad, scale it until it dies, then start over.
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A better system treats each winner as a research document: what angle landed, what emotion it triggered, and what awareness stage it spoke to.
That’s how creative compounds instead of restarting.
In a related post, they call this shift “signal extraction over winner-finding” and say top Meta accounts are learning why an ad worked, not just scaling what worked.
Document the angle, emotion, and awareness stage behind each winning ad, then brief new creative around those signals.
For brands planning a campaign
For a DTC brand improving its performance creative system, Josh Hedges can help build a process that explains why ads work and turns those insights into repeatable campaign plans. Show how winner-scaling differs from signal extraction, with a concrete example of a winning ad changing the next campaign plan.
Josh Hedges says Meta’s AI can find customers only if it gets enough diverse inputs.
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Running one winning format into the ground teaches the algorithm nothing new.
Brands can evaluate entity ID diversity, micro-persona briefs, awareness-stage mapping, and signal extraction.
They contrast these with what they describe as LinkedIn advice about 18 months behind actual accounts: hook formulas, UGC versus polished creative, “test more creatives,” and CTR benchmarks.
Brief across distinct angles, formats, and awareness stages, using visually different assets rather than repeated variations of one winner.
For brands planning a campaign
The creator can support a creative-diversity audit and a brief that gives Meta more varied signals. Make clear what diversity means in practice, rather than simply calling for more testing.
beHuman built a larger studio to solve a specific problem: DTC brands shouldn’t have to choose between speed and strategy.
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Josh Hedges describes a UGC set designed to look like a customer’s home, a high-production set for talking heads, VSLs, and founder content, product photography rigs that turn around statics in hours, and a strategy room where every brief lives before filming. They say a studio without strategy is just an expensive camera rental.
For brands planning a campaign
This is relevant for brands that need multiple strategic assets quickly, especially when production speed bottlenecks the creative process. A campaign could show how strategy shapes the work before filming and changes the output of a fast creative sprint.
Simple is not easy: consistent execution over shortcuts
Josh Hedges distinguishes between simple and easy.
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Growing a DTC brand is simple: understand the customer deeply, build creative that speaks to them, put money behind what works, extract the signals, expand what wins, and repeat.
The hard part is doing those things consistently under pressure, with a team, spend to justify, clients expecting results, and a shifting market.
They say founders often seek a new format, platform, or agency when the real unlock is consistent execution of what they already know.
For brands planning a campaign
The creator is suited to content about operating discipline and creative systems, not novelty-chasing. A campaign could contrast the search for a new unlock with the daily execution that compounds for DTC brands.
beHuman’s stated move into live commerce for UK brands
After seven years, Josh Hedges questioned whether beHuman should continue and decided to expand the business into live commerce.
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They describe live commerce as one of the few places left where a brand can be human: a customer can watch a product being used, ask questions, get an answer in real time, and buy in the same moment. The post cites China’s live commerce market, quotes Gary Vaynerchuk calling it the biggest opportunity since the dot-com bubble, says the UK is barely scratching the surface, and announces a founding cohort for UK clients.
Before committing, ask for client results, cohort details, and dates; the post does not independently confirm them.
For brands planning a campaign
This matters for UK brands considering live commerce and for campaigns about human connection in retail. If the brief is performance creative systems rather than live selling, focus on the earlier creative-system topics.
Hedges started and runs beHuman, a creative studio that produces performance advertising for direct-to-consumer brands.
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The posts refer to client work in general terms, including eight- and nine-figure DTC brands, but name no individual clients, sponsors, or investors. Ask for client references and details of any sponsorship or investment relationships.
beHuman
Owned business
Hedges says they started beHuman, a studio that creates performance creative for direct-to-consumer brands, turns around strategic assets quickly, and has expanded into live commerce for UK clients.
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The posts describe agency work for unnamed DTC brands; no individual client is named.
Original disclosure
Six years ago I started beHuman with one belief: Most brands weren't failing at ads. They were failing to understand people.
Hedges discusses Meta's advertising system, where their creative work runs, referring to Meta's AI finding customers and to entity ID diversity and awareness-stage mapping in Meta accounts.
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Original disclosure
Here's what the top 1% of Meta accounts are actually focused on in 2026: Entity ID diversity — are your creatives visually distinct enough that Andromeda sees them as separate signals?
Josh Hedges's posts build one argument about how performance creative should work.
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Start with the post that treats a winning ad as a research document, then read the account-practices post, which frames the same shift as signal extraction over winner-finding.
The studio post shows the strategy-before-speed idea in physical form, while the "Simple ≠ Easy" post explains why consistent execution matters more than a new tactic.
The live commerce post marks a stated change in direction for beHuman.
For a deeper look at DTC creative systems, the strongest companion accounts are Ujla Shakoor, Burhan Arif, and Amir Faizan Malik.
Each works in the same broad field but teaches a different layer, from Meta testing pipelines to design-led research to landing-page and email copy.
Performance creativeDTC brand growthMeta advertisingCreative strategySignal extraction from winning adsCreative diversityAwareness-stage mappingLive commerceCreative production studiosExecution disciplineEcommerce marketingUGC creativeFounder and VSL contentDTC brand operatorsUK DTC brands
Works in DTC performance marketing and Meta ads, and makes the same core point Josh Hedges makes about not building an account around one winning creative.
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Ujla Shakoor's post about a winning Meta ad becoming a risk describes scaling one creative from $1K to $10K and then watching CPA climb, and argues for testing different hooks, angles, customer problems, and formats so a pipeline of winners exists before the current one dies.
Ujla Shakoor's posts are shorter and more tactical, often framed through personal career reflection, with direct language about ad testing and account risk. Josh Hedges writes longer, system-level arguments about signal extraction, creative diversity, studio production, and a business pivot into live commerce.
Performance creative for DTC brands, with a shared emphasis on researching customers before making creative and treating it as work with a job to do, not decoration.
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Burhan Arif describes learning performance creative by running ecommerce stores and losing money, then changing the process to dig into reviews, comments, competitors, objections, and buying triggers before opening a design tool.
Burhan Arif comes from a graphic design background and teaches through that lens, emphasizing the customer's own words and design requirements as starting points for research. Josh Hedges focuses less on design craft and more on Meta account inputs, creative diversity across formats and awareness stages, and the system for turning winners into repeatable creative directions.
Conversion-focused DTC work with a strong research-first teaching approach.
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Amir Faizan Malik's posts audit landing pages and show how speaking to one specific person with one specific problem improves response. Both creators argue that understanding the audience better than they understand themselves is the work behind good performance.
Amir Faizan Malik's examples center on landing pages, email sequences, and ad copy, with before-and-after conversion numbers and a direct offer of copy services. Josh Hedges's examples center on Meta account structure, creative diversity, studio production, and live commerce, with less emphasis on written conversion copy as the primary lever.
Josh Hedges' LinkedIn profile recorded 1,849 followers on 11 October 2026 — the only measured audience figure in the posts here.
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The five posts target DTC brand owners and operators, covering creative scaling, Meta account practice and the studio beHuman built.
Two ask readers to describe their account problems in the comments.
No engagement volume is recorded.
For a performance-creative campaign, the follower count does not show whether the audience includes the operators or buyers a brand needs to reach.
Before committing spend, ask for recent post-level impressions and engagement on comparable subjects — creative systems, signal extraction and awareness-stage mapping — alongside audience geography and job function.
LinkedIn's follower analytics can speak to geography and job function; ask whether they have audience survey results if employer or seniority data is not reliably available.
Josh Hedges's posts focus on beHuman, the DTC creative business they founded and run, rather than sponsored posts.
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They describe two ways to engage beHuman: performance creative and studio production for direct-to-consumer brands, and a newer live commerce service being offered to UK clients through a limited founding cohort.
The posts publish no scope document, rate card or booking page; the stated first step is to direct-message for details.
Agree on deliverables, timelines and pricing directly.
No sponsored-post, affiliate or paid-partnership formats appear in the posts.
For a potential sponsorship, ask whether beHuman has an official sponsorship policy, media kit or rate card, or examples of sponsored posts.
Live commerce engagements for UK brands
Buyer requirement
For UK brand owners and operators, the posts describe a founding cohort taking clients for the remainder of the year, with limited availability implied.
The stated first step is to direct-message on LinkedIn with the word LIVE.
Pricing, deliverables and minimum spend are not published; negotiate scope and commercial terms directly.
The posts promise measurable P&L impact but do not specify reporting, so define success measures before engaging.
Performance creative and studio production
Buyer requirement
Aimed at DTC brands that need creative volume quickly, the studio describes work inside eight- and nine-figure DTC brands and cites a case of producing 16 strategic assets in two weeks.
It produces UGC-style footage, talking-head and VSL content, founder content, and fast product statics, with a strategy room for developing briefs before filming.
Buyers should bring a clear strategy brief and defined angles and awareness stages; the posts position strategy as a precondition for using the studio, not an add-on.
Pricing, retainer structure and turnaround guarantees are not published; confirm them directly.
Brief 1: a DTC brand with an established Meta account wants to rebuild its performance creative system — less guesswork about winners, more creative variety, and briefs written against how aware a buyer already is.
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This DTC brand's need is addressed most directly in the posts here.
Josh Hedges describes the system in the brand's own terms: treat every winning ad as a research document recording the angle, the emotion, and the awareness stage it used, then brief the next round from those signals rather than scaling one winner until it dies.
A related post frames the same shift as "signal extraction over winner-finding," and contrasts it with what they call LinkedIn advice running about 18 months behind live accounts — hook formulas, UGC versus polished, "test more creatives," CTR benchmarks.
For a brand that suspects its creative process has stalled, that is a diagnosis the client can check against their own account before spending anything.
The second pillar is creative diversity as an input to Meta's AI: distinct angles, formats, and awareness stages, with assets visually different enough that the system reads them as separate signals.
A brand's usual failure mode — one winning format run to death — is named explicitly, which makes the need easy to write against a real problem.
Production capacity backs the process.
The studio described includes a UGC set built to look like a customer's home, a higher-production set for talking heads, VSLs, and founder content, product photography rigs turning around statics in hours, and a strategy room where briefs are worked out before filming.
The one published output figure is 16 strategic assets in two weeks.
The commercial fit is an agency engagement, not a paid post: performance creative and studio production for DTC brands, arranged directly.
Scope, pricing, and turnaround terms are not published, and the posts here contain no client names, account data, or campaign results.
Treat published performance claims as claims, and ask for reporting format before committing spend.
When to choose a specialist
Brief 2: a consumer brand outside DTC—say, a grocery or household product sold mainly through retail—wants a paid LinkedIn sponsorship series to build broad awareness among ordinary shoppers, with the creator posting product-led content to an existing audience.
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The offering shown in the posts does not fit.
They include no sponsored-post, affiliate, or paid-partnership format.
The documented ways to engage are performance creative and studio production, plus a newer live commerce service for UK clients; each lists a direct message as the first step.
A buyer seeking paid posts would be negotiating an offer the posts do not show Josh Hedges making.
The audience also points away from mass consumer awareness.
The only published audience figure is 1,849 LinkedIn followers, recorded on 11 October 2026, with no data on impressions, engagement rates, geography, age, job title, or seniority.
The posts address DTC brand owners and operators—two close by asking readers which part of scaling creative is hardest for them—so a consumer-facing message would reach brand operators more than grocery shoppers.
The content covers running a creative function: how to brief, read signals, and why execution beats chasing a new platform.
That material suits operators, not shoppers choosing between two detergent brands.
Live commerce is the nearest adjacent option, but it is a weaker fit for this paid LinkedIn sponsorship series: it is built around real-time product demonstration and buying, not awareness posting.
The only public information is Hedges describing a founding cohort for UK clients and explaining the move.
No client results, cohort dates, or pricing are included.
To reconsider the fit, ask for a published sponsorship policy or rate card, disclosed sponsored-post examples, and post-level engagement or audience composition data showing a consumer skew.
A worked campaign example
Worked angle for Brief 1—“Why your winning ad won”: a four-part creative-system sprint delivered through strategy sessions and production.
Positioning: Josh Hedges fixes the layer beneath the ad.
The pitch is not better hooks or fresher formats; it is a process that explains why something worked and feeds that explanation into the next brief.
This positioning draws on the two strongest evidence posts: the six-year account of reps, winner post-mortems, and creative diversity, and the 2026 Meta account post on entity ID diversity, micro-persona briefs, awareness-stage mapping, and signal extraction.
Part one, the diagnosis session.
The brand brings its last six to twelve winning ads and one or two that underperformed.
The session produces a written map of each winner: its angle, the emotion it triggered, the awareness stage it addressed, and whether the assets were visually distinct enough to register as separate signals.
Deliverable: a one-page signal map for the brand to keep.
Part two, the brief rebuild.
Turn the signal map into three to five micro-persona briefs, each tied to a buying moment—not “who buys this,” but who is buying in a state that makes them convertible now—with a defined awareness stage and distinct visual treatment.
Deliverable: a reusable brief template plus filled examples for the next production round.
Part three, production.
Film on the studio’s existing sets: UGC-style footage in the home set, talking-head or founder content on the higher-production set, and fast product statics from the photography rigs.
The published reference point is 16 strategic assets in two weeks.
Confirm turnaround and pricing in writing first, and hold the vendor to a similar volume.
Part four, the read.
After launch, compare results with the signal map rather than the usual winner scoreboard.
Ask one question per asset: did the outcome match the brief, and if not, which brief element missed?
That turns the sprint into a repeatable system rather than another test.
Agree on measurement in advance: how reporting ties back to brief elements, what counts as a successful micro-persona, and the review cadence. The posts promise measurable impact on the P&L but give no reporting format; settle that before kickoff.
Flag the remaining gaps to the client: no named case studies or account-level results, no published rates or minimum spend, and no evidence on how often a sprint like this has run. Ask for those references directly.
Choose Ujla Shakoor over Josh Hedges when the campaign decision is the same — rebuilding a DTC performance creative system — but the immediate problem is a Meta account that relies on one winning creative.
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Two posts describe the failure: scaling budget from $1K to $10K behind a single ad, then seeing CPA climb and ROAS drop, with the blame falling on Meta rather than the account structure.
The counter-argument is a pipeline of winners built from different hooks, angles, customer problems, and formats, so the next test is already running when the current winner tires.
That is the same buyer task, addressed from the day-to-day account seat rather than the studio side.
A brand that wants a testing discipline installed inside its own ad account, with someone hands-on in Meta ads and campaign data, will find this a closer match than a production-led engagement.
The published argument stops at the account level: it offers no studio or production-capacity details, asset-volume figures, awareness-stage briefing framework, or method for using a winning ad as a research document beyond testing different angles.
The record consists of two posts on the same account-management theme, with no client names, account-level results, published rates, or turnaround terms.
Compared with Josh Hedges' brief, this alternative offers a clearer fix for single-winner dependency but does not explain how the next round of assets gets briefed, produced, and evaluated.
Ask for production capacity, client results, rates, and turnaround terms before deciding whether it can support the next round.
Choose Burhan Arif over Josh Hedges for the same campaign decision when the brand needs volume first and the creative routine starts in the design tool.
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The posts describe a performance creative partner for DTC brands spending $500K+ a month across paid socials, delivering 3,000+ statics and emails every month at a 90% creative approval rate across 20-30 active accounts.
The second post explains the method behind that output: after losing money on personal e-commerce stores, the lesson was to stop opening Figma first and instead dig into customer reviews, comments, competitors, objections, and buying triggers, because the best creative ideas sit in the customer's own words.
A brand bottlenecked by static and email throughput, where requests arrive as design tasks rather than research tasks, gets a stronger match here than from a smaller strategy-led engagement.
This alternative addresses the production and customer-language layer, not the whole creative system.
The posts offer no framework for treating a winning ad as a research document, briefing against awareness stages, or giving Meta's system visually distinct signals.
They name no clients or account-level performance figures; the volume and approval figures are stated in the posts, not independently confirmed.
No pricing, minimum spend, or turnaround terms appear.
Compared with Josh Hedges, the trade is scale and a research-first design process in exchange for a less developed explanation of why ads win and how that learning informs the next test.
Ask for client references, performance results, pricing, and turnaround terms before committing.
Choose Amir Faizan Malik over Josh Hedges for the same campaign decision when the weak link is conversion below the ad, not the ad itself.
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The posts cover direct-response copy and conversion work: an audit of 23 DTC landing pages where 19 shared the same mistake of speaking to everyone; a headline rewrite described as moving conversion from 2.1% to 8.4%; and a three-client breakdown covering an email sequence, a landing page rewrite, and ad creative plus copy for a men's lifestyle brand.
Each is credited to deep research into the audience's own language.
A brand whose traffic arrives but does not convert, and needs landing pages, email sequences, or ad copy written for one specific person with one specific problem, will find this a closer match than a creative-system or studio engagement.
This is a different craft layer, not a different version of the same service.
The posts show copy and conversion strategy applied to individual assets, but no repeatable creative pipeline, awareness-stage briefing system, entity ID diversity, or studio production capacity.
The conversion and ROAS figures are self-reported; no clients, rates, or availability terms are published.
Compared with Josh Hedges, the trade is sharper copy discipline and conversion-focused testing in exchange for the account-level creative system and production infrastructure the same DTC campaign may also need.
Ask for client references, rates, and availability before deciding whether that trade works.
This profile draws on five LinkedIn posts written by Josh Hedges.
Together they cover beHuman's founding and its work with direct-to-consumer brands, a post framed around 2026 Meta account practice, the build of a production studio, an argument about consistent execution, and a stated expansion into live commerce for UK clients.
The posts carry no publication dates, so claims are reported as stated rather than placed on a timeline, and no individual client is named in any of them.
A separate account record dated 11 October 2026 shows 1,849 LinkedIn followers; no impressions, engagement rates, audience composition, rates, or campaign results are stated in the posts here.
No videos, interviews, or independent performance data were reviewed.
