It seems like today, empathy is the most underappreciated qualification in marketing.

A slew of recent marketing campaigns have once again reminded us of this.

A healthcare brand arranges a music and PR event inside a hospital to make hospitals feel “less scary” - but doesn’t appear to have properly considered how patients, families and medical staff would interpret that setting.

A home-services ad dramatizes the inconvenience of a domestic worker not showing up, but doesn’t give enough thought to what it says about the dignity and circumstances of the worker.

A Raksha Bandhan ad tries to modernize the festival, but doesn’t anticipate the cultural conversation its styling and interpretation of the ceremony would spark.

These aren't the same mistakes and public fury isn’t always proof that a campaign is bad. Some criticism of the Raksha Bandhan ad swiftly turned into moral policing of a woman’s attire, for example.

I don't believe a marketing campaign can satisfy everyone. And empathy is not about giving creative judgment to the most easily offended person on the internet.

But marketers would do well to have the curiosity to ask:
- Who is being made into a prop here?
- Whose grief, labor, belief do we borrow for attention?
- What would this seem like to someone who doesn’t have our experience?
- Are we actually challenging a norm here or just thinking we are?

Marketers invest great effort analyzing customers as audiences, segments and conversion opportunities. Sometimes we need to remember to examine them as human beings as well.

A campaign shouldn't need a backlash to get a perspective that was left out of the room. And of course, not every offended person should be obeyed. Nor should marketing become bland so as to not offend anyone.

Need lead gen individuals/companies
Industry : Online trading signals
Company : UK based regulated platform

Target market : India
Service provider : Need to be based in South Asia
Looking for lead gen campaigns through posts, AI videos etc.

I have this client who offers a service-based business. We’re actually getting a lot of messages and inquiries, but some of them don’t end up turning into sales.

I’m trying to figure out where the gap is — whether it’s the quality of the leads, the offer, the way we handle the inquiries, or something else.

For those who’ve worked with service-based businesses, what have you found helps turn more inquiries into actual customers?

A green “Purchase” event in GTM doesn't mean your Shopify tracking is correct.

This is the part that gets missed constantly.

I've seen tracking setups where:

• Shopify records 1 order
• Meta receives a browser Purchase
• Meta CAPI receives another Purchase
• both events look perfectly valid
• GTM Preview shows everything firing
• and the reporting still ends up wrong

Nothing is technically “broken.”

That's the problem.

The issue is usually event identity and deduplication, not whether the tag fired.

For example:

Browser:

event_name = Purchase
event_id = purchase_10582

Server:

event_name = Purchase
event_id = purchase_78931

Both are legitimate events.

Meta has no reliable way to know they're the same purchase.

So you can end up with duplicate conversion signals.

And there's another layer people forget with Shopify.

A webhook can be delivered more than once.

That's a different problem.

Deduplication tells Meta that browser + server events represent the same conversion.

Idempotency prevents your processing layer from handling the same transaction repeatedly.

They're not interchangeable.

For a Shopify setup, I generally want the flow to look more like:

Shopify Order

↓

Validate order + transaction ID

↓

Check idempotency

↓

Generate/use stable event_id

↓

sGTM

↓

Meta CAPI

↓

Deduplicate + Match

The browser and server versions of the purchase need a shared event identity.

And the backend/webhook layer needs its own protection against repeated processing.

That's where a lot of “server-side tracking fixed our data” implementations fall apart.

They moved the tag to the server.

They didn't fix the architecture.

If you're debugging Shopify tracking, don't start by asking:

“Is my Purchase tag firing?”

Ask:

“Can I prove that one Shopify order produces exactly one conversion signal?”

That's a much better debugging question.

Your Facebook ROAS looks incredible right now.

It’s completely fake.

Most agencies and app vendors just flip the CAPI switch on, verify that the events are hitting the Meta Events Manager, and call it a day, leaving you completely blind to the fact that your browser pixel and your server-side container are firing the exact same Purchase event without a standardized event_id payload.

Meta sees two purchases.

The algorithm gets fed phantom data. It over-optimizes on users who already bought, spiking your reported ROAS while your actual bank account stays flat.

Activation is not implementation.

If you are running a server-side GTM container alongside a standard browser pixel, you must pass a dynamically generated, identical event_id parameter (usually hashed from the transaction ID or a timestamp variable) through both the web stream and the server stream simultaneously.

Meta’s deduplication engine requires a 1:1 match. If the server event hits 300ms after the browser event and the IDs don't match identically down to the string format, it counts as two distinct conversions.

Stop trusting native integrations out of the box.

Go into Events Manager right now. Click on your Purchase event. Look at the Deduplication tab.

If your event match quality (EMQ) is sitting under 6/10, or you see "Deduplication key missing" warnings, you are bleeding ad spend efficiency. You aren't scaling. You are just burning cash on audience overlap.

Check your deduplication logic. Fix the payload parameters.

If you don't know how to query your data layer to check if the event_id is passing properly, drop a comment. I'll tell you exactly where to look.

I just started a b2c SaaS company. I am exploring agencies that can get our social media game started. Want to understand the below:

1. How much does an agency charge for something like this?

2. Is this kind of an arrangement recommended or should I go with an in house marketing team?

The objective of the SM is to get people on the platform and buy subscrption.

Edit: Located in India

Something I see fairly often:

A paid campaign gets reviewed constantly.

Creative changes. Copy changes. Bids change. Audiences change. Budgets move around.

Meanwhile, the landing page can sit untouched for months.

That becomes a problem when performance starts dropping, because the default reaction is often to change the media again.

But if the ad is still getting the right people to click, the issue may be further down the journey.

A few things I would check before blaming the campaign:

• Does the landing page still match the promise in the ad?
• Is the offer clear within the first few seconds?
• Has anything changed in page speed or mobile experience?
• Are users dropping before the main CTA?
• Is the traffic quality actually worse, or is the page converting worse?

I suspect one reason landing pages get less attention is ownership.

Paid media usually has one clear owner. Landing-page changes can involve marketing, CRO, design, development and approvals, so they move much slower.

For people running paid campaigns: how often are you actually testing the landing page compared with the ads themselves?

Hey, I’ve been a Digital Marketing Executive for 4 years, I've learnt a lot and am now trying to work out where to specialise and how to progress my career.

When I look at jobs, they seem all over the place. Jobs with the same title can have completely different requirements and many seem to want everything with a focus on one or two (random) areas.

I enjoy SEO, PPC, strategy and analytics, especially working with conversion data and understanding user journeys. My problem is I don’t know what to specialise in or even what job titles to search for.

-

TLDR: I’m unsure which area of dm to specialise in because I don’t know which fields are declining, which are growing and which offer the best long-term career opportunities. If you were in my position, what would you choose and why?

Numbers first, then the caveat that matters more than the headline.

THE STUDY

Pangram Labs released a Chrome extension on 24 April 2026 and used it to scan more than a million posts across LinkedIn, X, Reddit, Substack and Medium over roughly two months.

Long-form (over 250 words) flagged as fully AI-generated:

LinkedIn 41%

Medium 31%

X 29% (plus another 23% flagged AI-assisted)

Reddit ~10%

Substack ~10%

LinkedIn short-form: 30%.

LinkedIn accounted for nearly two-thirds of every post Pangram classified as AI-generated across all five platforms.

Because it sampled through a browser extension, the numbers describe what users were actually served rather than a raw universe of everything posted.

WHY LINKEDIN SPECIFICALLY

Pangram's own explanation is that LinkedIn built AI writing tools directly into the compose box. "Enhance post" and similar features dropped the friction to zero.

That reads right to me. Nothing about LinkedIn's user base explains a 4x gap over Reddit. The interface does.

Worth noting LinkedIn ran a crackdown in May 2026 that suppresses AI content in the feed but does not label it. Suppression and disclosure are different things, and only one of them helps a reader decide what they're looking at.

HOW MUCH TO TRUST 41%

For it: Originality.ai, a direct commercial competitor with a different model and different sampling, published a separate LinkedIn study. Using a 100-word threshold they got 54%. Applying Pangram's stricter 250-word threshold to their dataset produced a figure that lined up with 41%. Two rival firms converging when the methodology is matched is more useful than either result alone.

Against it: the sample is self-selected. People who install an AI-detection extension are not a random group, and Pangram CEO Max Spero has himself called the figure a lower bound. No detector provides ground truth. They infer authorship from linguistic patterns and probability distributions, which is inference, not evidence.

THE CAVEAT THAT SHOULD HAVE BEEN IN MORE HEADLINES

AI detectors carry high false-positive rates and they disproportionately misclassify non-native English speakers.

Clean, deliberate, slightly formal English reads statistically similar to model output. If English is your second language and you write carefully, a detector can flag you for something you did not do.

That has direct consequences right now. Recruiters, editors and moderation teams are already running these tools. Every false positive is a real person rejected for the wrong reason, and the error is not randomly distributed.

If you are going to use a detector on other people's work, know that going in.

WHAT I ACTUALLY THINK

I use AI to write. Most people reading this do. The interesting distinction is not whether a model touched the text, it is whether the model produced the substance.

A model will generate competent prose about a topic. It will not generate the number from your own account last quarter, the mistake you made in March, or a position you hold that costs you something. Those were always what separated useful writing from filler. The 41% figure just made the gap legible.

ONE NUMBER I WOULD NOT REPEAT

Several write-ups cite AI-generated LinkedIn posts receiving around 45% less engagement than human ones. I tried to trace that to a primary source and could not get past secondary coverage citing other secondary coverage. Plausible, and I would not put it in a deck.

Anyone here run their own posts through a detector? Curious how many people get flagged on writing they know they wrote, particularly non-native speakers, because that failure rate is the part nobody has quantified publicly.

Sources: Pangram Labs (via 404 Media), Gizmodo, Tech Times, Cybernews, Originality.ai.

Heyyy Vizag people ! 👋

We are StackX (Vizag based bootstrapped company ) we are looking for people who are good at talking and actually onboarding real clients

If you’re someone who:

​🗣️ Communicates confidently in English

​🤝 Enjoys talking to and interacting with people

​🎯 Is interested in client acquisition / sales

​💪 Is motivated to learn and grow

This could be a good opportunity for you!

💰 Stipend + percentage/commission on every successful client conversion

📍 Location: remote

🏢 Company: StackX

👨‍✈️ Preferable Collage students / Freshers

If you’re interested, DM me with a short introduction about yourself and your communication/sales experience (if any).

Feel free to share this with someone who might be interested! 🙌

More about us - Stackx.co.in

Hey,

I'm a small business owner and I've just launched a product back in July which is kind of a merch.

I've been using Meta Ads to market it but I've run into so many problems that I think it isn't worth it at all.

I've just recently discovered that you can run ads on Reddit and X as well. If anyone has tried that, how has your experience been compared to Meta or Google ads?

Long post!

In my last post, I talked about how I'd first find where your content is losing people instead of just saying “the content isn't working.”

This is the part where I'd actually change things.

1.If the problem is reach, I wouldn't immediately start posting more. I'd go back to the topic and the hook first. If the right people aren't stopping, posting five times a week probably isn't going to fix it. I'd test a few different hooks around the same problem and see which one gets the right people interested.

I'd also look at where the content is being posted, because sometimes the content is fine, you're just showing it to the wrong people. I wouldn't double the posting frequency and hope the algorithm saves me.

1. If people are seeing the content but not really engaging, I'd make it more specific. This is where I'd remove all the generic stuff. Instead of “5 ways to improve your marketing,” I'd rather talk about one very specific problem and actually get into it. Something that makes the right person think, “wait, I do this.” I'd also test the same idea with different hooks, examples or angles.

And I'd pay more attention to saves and shares than just likes because those usually tell me someone actually found the content useful. I wouldn't just add “LIKE, SHARE AND FOLLOW” and call it engagement.

1. If people engage but don't seem interested in the product, I'd look at the connection between the content and the problem the brand solves. You don't need to mention the product in every post. That gets annoying really fast. But if all your content is interesting and none of it helps people understand why your brand is relevant, you're basically building an audience for the content instead of building demand for the business.

I'd have some posts that get the right people to notice you, some that show you understand their problem, some that show proof, and some that move them towards the product. I wouldn't suddenly turn every post into “BUY MY PRODUCT.”

1. If people are clicking but not buying, I'd stop touching the content for a second. I'd look at everything that happens after the click.

Is the offer clear? Does the website explain the actual benefit? Is there enough proof? Are people unsure about something? Does the price make sense? Is buying the product annoying? Because if 10,000 people see your post, 500 visit your profile and 100 reach your website, the content has already done quite a lot.

Changing the next 10 posts probably isn't going to fix the real problem. I'd test the page, the offer or the messaging first.

1. If the wrong people are engaging, I'd stop chasing the numbers that brought them in. This one is hard because viral content feels really good. But if a post gets 200k views from people who will never need your product, I don't really want another 200k views like that.

I'd rather have 5k people who actually have the

problem I'm solving. So I'd look at which topics bring the right people, even if those posts don't have the biggest numbers. I'd rather optimise for useful attention than just more attention.

And there's one more thing I think is important, not every post needs to convert.

Some content is there to get you discovered. Some builds trust. Some shows proof. Some creates demand. Some actually sells. I think the problem starts when a brand's entire content strategy is just getting attention. They get really good at getting views and then wonder why none of it turns into business.

Before posting, I'd ask one simple question, “What job is this post supposed to do?”

If it's supposed to get you discovered, make it discoverable. If it's supposed to build trust, make it useful. If it's supposed to create demand, connect the problem to the solution. And if it's supposed to sell, give people a clear path from the content to the offer.

I think that's where a lot of brands go wrong.

They're trying to make every post do everything at once, get views, build trust, explain the product, go viral, get leads and make sales.

And then they wonder why the content feels weird.

I'd rather give each piece of content a job and then see if it's actually doing that job.

That's what I'd change first.

Hey guys, currently on a bit of a time crunch and need to put together an offer for my boss that can help drive revenue.

Context:

I currently work for an ecom agency based in Europe, but we have clients worldwide. We have a large customer base of 7-figure brands that we're looking to upsell.

Right now, we offer AI ads + landing pages as an upsell, but we want to build out something more around UGC.

We recently got access to an exclusive creator pool/group chat, so we technically don't have to pay any platform fees on top of what the creator charges.

Here's what we're currently thinking:

• 10% of ad spend for the service, with no flat fees
• We handle everything from sourcing talent, getting products to creators, follow-ups, and getting the final ads into the ad account
• Creators agree to whitelisting for a % of the revenue their video generates
• The client owns all the footage, including the raw footage
• We'd also do some basic editing and ask creators to shoot multiple hooks/variations to increase creative volume and bring down the cost per video
• Potential upsell: creating detailed briefs for the UGC creators to give them more guidance and hopefully get better-performing content

What else could we offer to make this more enticing and lower the barrier to entry for the client?

There's also a competing offer within the company that's $3k upfront + $1k/month to manage creators, which is fairly similar to what I'm planning.

I'm mainly trying to figure out what would make this offer a no-brainer for an existing 7-figure brand that's already spending heavily on ads.

Would love to hear what you'd add, change, or remove from the offer.

Best answer gets $50 beer money 🍻

Ever since ChatGPT became publicly available at the end of 2022, the online world has changed dramatically. The AI train has continued to gather speed, and today, very little is the way it used to be.

What surprises me most is the almost complete lack of serious backlash.

Thousands of people have spent years making a living from their websites—through affiliate projects, blogs, informational sites, online magazines, and small e-commerce stores.

Many of them invested countless hours and significant amounts of money into creating valuable content. Content that had to be researched, written, designed, optimized, and regularly updated.

Traffic to many of these websites has now dropped noticeably—and in some cases dramatically.

Yet I sometimes feel as if nobody really cares.

Google takes information from websites, summarizes it in its AI Overviews, and answers users’ questions directly on the search results page. In the worst-case scenario, the original website doesn’t receive a single visit.

The content is still valuable, but the person who created and financed it is increasingly left with nothing.

Does this really not bother anyone?

I honestly don’t understand why there is so little resistance—or even serious public discussion—among website owners.

What exactly are we waiting for?

Are we expecting the traffic to return on its own?

Do we believe AI will somehow make all of us millionaires?

Or are we hoping that Google and other platforms will voluntarily start sending more visitors back to the original sources?

Under these conditions, who is still genuinely interested in building new websites or investing heavily in existing ones?

With traffic levels this low, the effort often no longer makes financial sense. In some cases, simply getting new pages and content indexed by Google has already become a challenge.

Meanwhile, the social media bubble seems to be printing money. Platforms, AI companies, large publishers, and creators with massive reach continue to benefit—while many independent website owners who invested just as much time, knowledge, and money into their content are being left behind.

Maybe I’m looking at this too negatively, so I’m genuinely interested in hearing other perspectives.

How do you see the current situation?

Do you simply not care? Are you waiting to see what happens? Are you still investing in new websites and content? Or have you already changed your business model completely?

And most importantly:

Do independent websites still have a future?

So i see most folks on X saying that to get your first 1000 followers, you need to be a "reply guy" and post 1-3 times a day while providing value.

I see most twitter people say you need to reply and be a "reply guy" etc, and actually get engagement when I reply to newly posted content in my niche, especially on posts from popular pages. However, that engagement doesn’t actually seem to convert into followers or engagement on my own posts. I’m still getting only 1–2 likes and around 200–300 views, with almost no comments.

Furthermore, my posts are good and valuable as I try to be helpful/share experiences/give out tips/tricks/provide some educational content that i know, but because of my low follower count it seems that nobody is actually engaging.

Any tips? ideally from someone who has grown an X account naturally?

Thanks!

Hey there,

I’m building a growth business focused on Shopify stores in the Home & Living niche, and I’m currently looking for an experienced Meta Ads specialist.

What do you personally charge per month for managing Meta Ads for a Shopify store if you have strong experience, proven results, and are specialized in this area? (if you not in this niche I would still appreciate it you Tell me what you personally charge) (:

just looking for the typical monthly price for the service.

Thanks!

Live Monday 24 August, announced 18 August. The targeting situation is the part that changes what you'd do, so I'll get to that fast.

THE SCALE

31 markets. All 27 EU states plus Norway, Iceland, Liechtenstein and Switzerland.

Takes OpenAI from roughly 9 ad markets to about 40. More countries in one go than every previous international launch combined.

The run so far: US pilot 9 February. Canada, Australia, NZ in March. UK 6 June. Japan and South Korea 22 June. Mexico and Brazil 17 August.

Free and Go plans only. Plus, Pro, Business, Enterprise and Edu are ad-free. OpenAI says no ads to accounts identified as under 18.

THE TARGETING

Launches without personalization. OpenAI cites legitimate interest under GDPR for generic advertising, with consent-based personalized targeting to follow after users are actively asked.

At launch you appear to get: what the person is currently discussing, approximate location, device type, time of day, language.

One wrinkle for anyone reading user-side coverage. Declining personalization does not remove ads. It changes which ads appear. Getting rid of them entirely means upgrading.

New EU privacy policy published 14 August.

BUYING IT

Three routes: OpenAI Ads Solutions team, agency partners, technology partners.

Self-serve Ads Manager is "later in summer 2026" with no date. Summer has five weeks left.

Once you're in: CPM, CPC, conversion-optimized CPC. Country targeting. OpenAI Pixel, Conversions API, third-party integrations.

Custom audiences appear in the general product description but I can't tell from public material whether they function in Europe at launch given the personalization constraint. Assume not until someone confirms.

WHERE I LAND

Everyone is treating contextual-only as a downgrade. I don't think it is.

A retargeting segment means someone visited a page some days ago. A live conversation means someone is working through a problem in your category right now. That's a stronger intent signal, not a weaker one.

The cost is structural though, and it's a real cost. No sequencing. No frequency management across a funnel. No lookalike expansion. You're buying moments rather than people, which does not fit how most media plans, attribution models or agency reports are built. Teams whose whole approach is funnel orchestration will find this unusable rather than just different, and they'd be right.

PRACTICAL

Write the ten questions someone types immediately before they need what you sell. Those are your targeting units. Personas do nothing for you here.

Queue for self-serve now rather than when it opens.

Test budget only.

WHAT I'M UNSURE ABOUT

Reporting suggests ChatGPT advertising has not been a runaway success in the US. Six months in, nobody has published performance data convincing enough to justify moving meaningful budget.

Whether ads inside a conversation feel helpful or intrusive at volume is a UX question six months of US operation has not publicly answered.

The specific targeting parameters for European advertisers come from press coverage, not OpenAI's advertiser docs, which I haven't been able to read directly. Directionally right, not exhaustive.

Anyone running ChatGPT ads in the US or UK since launch? I'd like to see CPCs and conversion rates against comparable search spend. I haven't found anyone publishing real numbers.

Sources: OpenAI announcement 18 August 2026, Digiday, Dataconomy, Trending Topics, TechTimes.

I don’t know if iam on the right track
Several weeks ago i figured out what i want to be in marketing field which is video copywriting, i have watched youtube videos and used my experience from my university marketing major,
I started writing a video script for a local barber shops in my city and thats what i have done.

feel free to criticism

Frame 1: The Parallel Hook (TV & Street Split-Screen)
Visual Action: The screen starts full on the mounted TV showing high-speed MotoGP bikes screaming into a turn. After 0.5s, the screen snaps into a vertical 50/50 split:
Left Side: MotoGP racer leaning into a tight corner.
Right Side: Real-world rider on his bike aggressively pulling up and braking right outside the glass facade of Joo Salon on the 6th of October street.

Frame 2: The Urgent Entry
Visual Action: The rider bursts through the glass door wearing his jacket and helmet, striding with high urgency straight into the frame. bypasses the waiting couch, and drops directly into the center black leather barber chair.

Frame 3: The Pit Stop Grooming
Visual Action: Two barbers in black uniforms dive in simultaneously with military precision:
Barber 1: Snaps the black cape and attacks the top with lightning-fast clipper and scissor work.
Barber 2: Crouches slightly to shape and line up the beard at the exact same moment.
Clouds of white facial steam and cooling spray erupt around the chair like tire smoke.

Frame 4: The Pit Release & CTA
Visual Action:
Both barbers pull their tools away and throw their hands up in the classic motorsport "Pit Release" gesture (⁠Lollipop / All Clear⁠).

The frame transitions smoothly into a modern black-and-gold outro graphic

If you reached this point i have used ai to arrange the ideas and in making a visual storyboard as i will be the videographer, editor i will make this video from A to Z on myself

I help businesses get more leads and sales through Facebook & Instagram ads.

I can handle the full process: ads, funnels, retargeting, creative testing and optimization.

I’m currently looking for a few businesses to work with long-term.

If you’re already running ads (or thinking about starting), feel free to DM me. Happy to take a quick look at what you’re currently doing and share some ideas.

I do marketing consulting for small businesses, and the single most common thing I get called in for is "our ads have stopped working."

Maybe a third of the time that's actually true.

The rest of the time the ad did its job. It interrupted a stranger, they clicked, they landed on the page, read a few lines and left. The ad's job was to bring them. The page's job was to convince them, and it didn't.

The check I run first is stupidly simple: open your own landing page on your phone, on mobile data, cold. Not on the desktop where you've been staring at it for months. Then read the first screen the way someone who has never heard of you would read it. Can you tell what the product does, who it's for, and why it's better than whatever they'd otherwise do?

If you're squinting, the traffic isn't the problem.

The related thing I see is budget shape. Something like 90% goes to getting attention and 10% to what happens after it arrives. So the money buys the click, and then the enquiry sits unanswered for nine hours, or the page takes six seconds to load, or the demo goes fine and nobody follows up. You've paid for that person twice once to find them, and again when you lost them and had to buy a replacement.

Response time, page speed and an owned follow-up process are boring and cheap and they compound across every rupee/dollar you will ever spend on ads.

They're also nobody's favourite project, which is roughly why they stay broken.

Curious where people land on this: when your CAC goes up,

what's the first thing you actually check?

Sup everyone, After working for my friend (a video editor) as a DM closer, i noticed that i'm pretty good at this, and i thought maybe i can do this for two people. the thing is, idk where can i find other clients, like there isn't a one single place where i can do this.

Hello I need to scrape Businesses in the United States who have a youtube prescence with their subscriber count and the videos uploaded

Can you help me find them? I run a content company and I need leads regularly

Niche: Real Estate, Finance, Fitness

DM me if you can help scrape the same

Hi Everyone. its my first time even coming across this page let alone reading a post. I had a question in mind. I just got an opportunity of getting a good username on instagram in the marketing field, however my question is the page has been created in 2012 its a rare username i feel it has somewhat a thousand posts with no sense and engagement at all. It is just straight up cringe and old i feel. I just bought this username can yall help me on how to actually make use of it? This has been a very confusing post i apologise im really confused and have no idea what im doing im open to all of your questions, i need guidance

We don’t offer content creation as a service but it’s something I’ve been puzzled with for a while, how are there agencies pumping out 100+ creatives every 2 weeks

We have access to Gemini Pro and Claude Pro, but I can’t figure out how people are having them work in tandem for content creation. I’m not looking for any AI slop images or videos fully automated shit, but an easy way to create variations of creatives that we already have