Red Bull bought a Formula One team for one dollar. Then they spent over $200 million a year running it. They didn't do it to sell more energy drinks, at least not directly. They did it because they figured out something most ecommerce brands still haven't: the brands winning today aren't selling products, they're running media companies that happen to ship boxes.

If you run a DTC brand, an agency, or a creator program, the question isn't whether you have a marketing budget. It's whether you have a content engine. The good news: you no longer need a $200M motorsports operation to compete. AI avatars, micro-dramas, and creator outreach now do at $50 what used to take a production studio and a six-month timeline.

Here's the playbook, with the specific tools and workflows that work right now.

TL;DR

Brands that act like media companies build a daily relationship with customers. Brands that just sell products get one shot per purchase.

Red Bull's Media House and Duolingo's mascot account are the same strategy at different budgets. Both are repeatable.

AI avatars (Higgsfield, Freepik, Lovable) collapse the cost of producing characters, UGC, and ads from thousands of dollars to minutes.

Personalization at scale (named videos, name-in-image emails) closes the gap between "ad" and "experience."

Distribution is the moat. Outreach, micro-dramas, and platform-specific content beat a single hero asset every time.

The shift: brands are media companies now

For most of ecommerce history, the loop was simple. Run ads, drive a transaction, hope they come back. Today, that loop is broken on both ends. Ad costs are up, attention is down, and customers expect to be entertained or educated before they buy.

The brands winning are the ones that flipped the model:

Red Bull runs Red Bull Media House. It produces films, documentaries, live events, and a Formula One team. The energy drink is almost a souvenir.

Duolingo turned a green owl into a TikTok account with 8.8 million followers and over 190 million likes. Their head of social calls it a sitcom: every video is an episode.

MrBeast launched Feastables. The product is fine. The audience is the asset.

Notice the pattern. In every case, the content is the product, and the physical product is the merch.

If you run a Shopify store and your "marketing" is a paid ad and an abandoned cart email, you are not competing. You are getting farmed.

What you can actually steal from Red Bull (without their budget)

Red Bull's bet on Formula One was a vehicle (literal and metaphorical) for everything else. They had infrastructure. They had the product. The team was a distribution channel.

You probably don't have a Formula One team lying around. But you do have three things you can borrow from their playbook today.

1. Personalization at scale

Sign up for Red Bull's email list and your name shows up baked into the image, not just in the greeting line. People look up when they hear their own name. They do the same thing when they see it in a banner. That's not a copywriting trick. It's human wiring.

Tools that do this for ecommerce:

Nifty Images for name-in-image personalization in email

Movable Ink for dynamic, behavior-triggered content

Idomoo for personalized video at scale (Shell ran a Ferrari campaign where you entered your name and got a video in the pits with Charles Leclerc and Lewis Hamilton)

If your welcome flow is "Hi {first_name}, welcome to our brand," you're leaving the easiest personalization win on the table.

2. Build the media house, not the campaign

Stop thinking in campaigns. Start thinking in shows. A campaign ends. A show keeps making episodes.

A water bottle brand can run a hydration tracker. A skincare brand can run an acne-tracker series. A scale brand can run weekly progress check-ins. Each one is a reason to come back, not a reason to buy once.

The point isn't the format, it's the cadence. Pick a thing your brand can publish forever, and start publishing.

3. Treat distribution as the product

Red Bull Racing is distribution. Their TikTok is distribution. Their content house is distribution. The energy drink rides on top of all of it.

Most DTC brands have it backwards: a great product with no distribution. The fix isn't more ads. It's more surface area, which usually means creators.

Duolingo's actual secret: turn the brand into a daily relationship

Duolingo's mascot account didn't go viral by accident. The team treats their TikTok like a sitcom, and the green owl is the protagonist. Some videos blow up, some are filler that builds the storyline. That's how shows work.

What's underneath the costume:

A character with a clear point of view (manic, threatening, lovable)

App gamification that creates daily behavior, not weekly behavior

Cross-platform stunts like Love Language, their Peacock partnership riffing on Love Island

A willingness to be weird in a category that defaults to safe

For a DTC brand, the lesson isn't "make a mascot." It's "build something that gives the customer a reason to come back tomorrow." A few examples that map cleanly:

Sell water bottles? Ship a daily water tracker app.

Sell brain supplements? Build a daily focus-score game.

Sell scales? Build a weight tracker with weekly photo check-ins.

Sell skincare? Build a skin quiz and acne tracker.

Sell yoga mats? Build a meditation timer with sound packs.

Apps turn one-time transactions into daily relationships. Daily relationships give you first-party data, photo opt-ins (great for before-and-afters with permission), and a reason to push notifications that aren't just discount codes.

You no longer need an engineering team to build the MVP. Vibe-code the first version in Lovable, ship it as a webapp, and validate before investing in native development. A single sentence prompt is enough to get a working prototype.

Micro-dramas: the cheapest unfair advantage on social right now

If you've spent any time on TikTok or Instagram lately, you've seen the genre. Vertical, badly acted, weirdly addictive episodes that feel like a soap opera made by a fever dream. They look cheap. They aren't. TechCrunch flagged micro-dramas as a coming billion-dollar category, and at least one investor has called them "OnlyFans for the female gaze."

The reason they work for brands isn't the production value. It's that they create a world the viewer wants to stay in. Same reason Duolingo's Love Language landed. Same reason a fully AI-generated "Love Fruit Island" account hit millions of followers in nine days off six videos. Same reason Duolingo's TikTok feels like a show, not a feed.

If you sell skincare, your micro-drama is a weekly soap about a "lab" of characters arguing over the next ingredient launch. If you sell apparel, it's a "design house" with rivals and crushes. The format scales. The content writes itself once the cast exists.

Which is the part that used to be hard. Until now.

How to build an AI avatar that sells for you

An AI avatar is a digital character that can host content, do UGC, run ads, and stay on message at 2 a.m. It can be a stylized version of a real founder, a brand mascot, or a fully invented persona. Once it exists, you can put it on the Amalfi Coast for a campaign on Tuesday and on a snowboard for a holiday push on Friday, without booking a single flight.

This is the workflow that's working right now.

Step 1: Generate the base character in Higgsfield AI Influencer Studio

Higgsfield's AI Influencer Studio lets you set gender, ethnicity, age, eye color, build, and outfit. The interesting move is to push the design slightly weird. Boring avatars perform like boring people. One avatar split test that beat the rest had heterochromia, two different eye colors. Tiny detail, huge thumb-stop.

You don't even have to make it human. A praying mantis avatar will out-engage a generic 23-year-old influencer if your brand voice supports it.

Generate the character, download the reference image, and lock it in.

Step 2: Build a character sheet for consistency

This is the step most people skip. Without it, your avatar's face shifts between every generation and the audience never bonds with a face.

Take the reference image, drop it back into Higgsfield, and use a prompt like:

> This exact person wearing a white tube top (or shirt for a male character) on a studio white background, shot from the waist up.

That image becomes your training reference. Then run it through a multi-angle character sheet generation so you have front, three-quarter, profile, and back views. Now your avatar is consistent across every future image, video, and ad.

Step 3: Stage scenes, products, and partners

Once the character is locked, you can put them anywhere.

Drop them on the Amalfi Coast for a campaign shoot.

Hand them your product as a reference image and Higgsfield will composite it in.

Bored of solo shots? Generate a co-star and run a couples campaign. (One golf apparel brand used this exact workflow because the founder lives in Canada and didn't want to wait for spring to shoot.)

This is where the savings get absurd. A real shoot for a winter golf campaign with two models, a course, and a film crew runs five figures and weeks of coordination. The AI version runs in an afternoon for the cost of a few generation credits.

Step 4: Add motion and dialog

Animate stills using Higgsfield's video tools or run them through Freepik Spaces to add lip-sync and voice. Now your avatar can talk to camera, do voiceovers, and host video ads.

Step 5: Reverse-engineer any look you like

The fastest way to nail an aesthetic is to find a reference you already love. Pull a screenshot from Pinterest. Drop it into a ChatGPT prompt-writing GPT (search for one trained on AI UGC influencer prompts). Ask it to "write a prompt for this image." Edit the output, send it back to Higgsfield, and you have your scene template.

For more controlled outputs, the same GPTs can spit out JSON prompts you can drop straight into pipelines that support them.

Step 6: Get cinematic with one click

Higgsfield's "Shots" feature takes a single image and generates nine cinematographer-trained angles of the same scene. That's enough to assemble what looks like a full short film cut from a single still. For a UGC ad, it's overkill in the best way.

AI avatar use cases beyond the obvious

Once you have a character that looks consistent and on-brand, you can deploy them across way more than ads:

Hero content and brand TikToks (the Duolingo move, on a budget)

Always-on UGC where a real creator can't reliably ship volume

Product demos and feature explainers

Internal SOP videos (one team built an animated dog character because employees retained the training better than when the founder filmed herself)

Localized variants of the same campaign in different markets

Email and landing page personalization assets

The avatar is the cast member. Your job is to write the show.

A quick word on Amazon, since most brands here sell on it

If most of your revenue comes from Amazon, three ad formats are worth knowing about right now.

AI Creative Studio

Free for sellers. Pulls data straight from your ASIN, generates on-brand imagery, and saves you a Midjourney subscription. It won't replace a designer, but it will fill a content calendar.

Amazon Marketing Cloud

AMC used to require a coder. The new dashboard makes it usable by a normal operator. Four use cases worth your time: lookalike audiences, attribution paths, customer journey analysis, and overlap reporting between campaigns. If you're spending six figures a year on Amazon ads and not in AMC, you're flying blind.

Streaming TV ads from your social content

This one's quieter. If you already produce social content at volume, Amazon now lets eligible advertisers reuse those Instagram and TikTok-style assets for streaming TV placements without producing a separate hero spot. It's invite-only, ask your account manager. The arbitrage is obvious: the brands already producing content win twice.

The new growth playbook in seven moves

If you take nothing else from this, take the list:

Pick a media format you can run forever (a sitcom-style social channel, a micro-drama series, a daily app, a weekly newsletter).

Build a cast. AI avatars are the cheapest way to get there.

Lock in character consistency with a character sheet before you publish anything.

Personalize at scale. Names in images, named video, behavior-triggered content.

Build a daily relationship with an app, a tracker, or a game tied to the product.

Treat distribution as a discipline, not a side effect. Outreach is the lever.

Reuse every asset across ads, organic, email, and (if you can) streaming TV.

Where Hubfluence fits

Most of the steps above scale to the limit of one thing: how many creators (or AI avatars built like creators) you can actually run. Sourcing them, sending samples, getting replies, tracking performance, and not dropping the ball across hundreds of conversations is a full-time job. That's the part Hubfluence is built for.

If you want to run the playbook end to end, [browse the Creator Database](/product/creator-database) to source talent, [use the DM Outreach Bot](/product/dm-outreach-bot) and [Gmail Outreach Bot](/product/gmail-outreach-bot) to scale outreach without losing personalization, manage replies in the [Message Center](/product/message-center), ship product through [Sample Manager](/product/sample-manager), and measure results in [Creator Analytics](/product/creator-analytics) and [Video Analytics](/product/video-analytics). Brand owners, ecommerce managers, and agencies can each find a tailored workflow under [Solutions](/solutions/brand-owners).

[Try Hubfluence free](/pricing). No credit card. Run your first 100-creator outreach campaign this week and see what happens when content is the product.

Run Your Brand Like a Media Company