AI ad performance for fashion eCommerce

Your ad spendshould get smarter every week.

EngageReel watches every creative you run, learns which hook, model and scene actually converts, and generates the next batch from proof. The videos are the output. Better ROAS is the point.

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No credit card required · Connect Meta, Google and TikTok in minutes

app.engagereel.com
What's working right now3 patterns · last 7 days
Hook: fabric close-up4.8× Scale
On-model walk-out3.1× Steady
Studio flat-lay1.2× Fatigued
4.81×Blended ROAS last 7 days+38%
Ad Engine · live optimization24/7
Scaling budget on "fabric close-up"

CPA 22% below target for 3 days. Shifted $340/day from fatigued creative.

Cut Audience Network placement

Junk placement - 9% of spend, 0 conversions.

Fed back to Content Engine

Next batch of dress videos will open on a fabric close-up.

Built for fashion teams who are done guessing which creative to scale
The problem

You're not short of creative. You're short of a reason to believe in any of it.

01

Creative ships into the dark

Your team makes videos that look good. Nobody can tell you whether it was the fabric close-up, the model, the opening two seconds or the CTA that drove the sale - so the next batch is another guess with a bigger budget behind it.

02

Spend reacts too slowly

Fatigue sets in on Tuesday. Someone notices on Friday's review. By then you've bought four days of declining ROAS at full price, and the fix is another round of creative made on the same instincts that produced the last one.

03

The learning never lands

Media buying sees what worked. The content team never does. Every season starts from scratch, and the same expensive mistakes get remade in a new colourway.

EngageReel closes the loop by owning both ends - it reads what your spend is telling you, and generates the next creative from that answer instead of from taste.

Two engines

One platform. Two engines. Spend that compounds instead of resets.

Most stacks separate the making from the buying. EngageReel runs both, so every rupee of spend produces two things: a result, and an instruction for the next creative.

Ad Engine

AI that runs and defends your spend

Once a video is live, EngageReel doesn't hand it off - it manages it.

Autonomous campaign management

Meta, Google, TikTok and more, from one workspace.

24/7 optimization

Bid, budget and audience decisions made continuously, not on a weekly review cycle.

Wasted spend detection

Junk placements, audience overlap, creative fatigue and weak keywords flagged before they burn budget, not after.

Creative-to-performance tagging

Every video tracked to hook, model, scene and CTA level, so you know why an ad worked and can order more of it.

One-click apply or full autopilot

Approve each recommendation, or set guardrails and let it run.

Explore Ad Engine →
Content Engine

Creative generated from evidence, not instinct

Every video starts from a pattern that's already converting in your account.

Ad creative

Hook-first, platform-native, built around the opening that's currently winning for your category. 9:16, 1:1, 4:5, 16:9.

PDP video

360°, on-model and try-on so customers see fit, fabric and movement before they buy.

Lifestyle scenes

AI fashion models matched to your brand aesthetic - no shoot, no casting, no studio day.

Brand-consistent models

Diverse, apparel-specific, the same faces across a collection.

Prompt-based editing

Change the model, background, styling or CTA in plain English when the data says to.

Explore Content Engine →
Showcase

Every video here was ordered by the data, not the brief.

Generated from a pattern already converting in the account, tagged on the way out, and scored the moment it goes live.

Meta ad · fabric-first hookThe opening currently at 4.8× for dresses
PDP · 360° on-modelFit and drape, every SKU
Lifestyle · city sceneAI models, your aesthetic
Try-on · detail loopFewer returns, better fit signals
Creative intelligence

Anyone can generate an ad. Knowing why it will work is the product.

EngageReel tags model type, garment category, hook style, scene, CTA and palette on every asset - then ties each tag to ROAS, CPA and conversions. Over time your account stops being a list of campaigns and becomes a library of what works on your customer.

Creative Intelligence · dresses · Aug 2026
HooksModelsPlacementsSpend wasteStrategy chat
Fabric close-up4.8× Scaling
Walk-out reveal3.4× Steady
UGC-style talk2.9× Testing
Studio flat-lay1.2× Fatigued
Strategy assistant

"Fabric close-up openings outperform studio flat-lays by 3.1× on ROAS for dresses this month. Want me to regenerate the next 12 dress videos with that hook?"

How it works

The EngageReel Loop

01

Connect

Link your ad accounts and catalog. EngageReel reads your live and historical campaigns and tags every creative already running - so it knows what works in your account before it makes anything.

02

Create

Videos generated around the hooks, models and scenes your data already favours. PDP, lifestyle and ad-ready, in every format your channels need.

03

Launch

Push live to Meta, Google or TikTok directly from EngageReel. No export, no re-upload, no re-tagging.

04

Optimize

The Ad Engine monitors bids, budget, placements and fatigue continuously - cutting waste and scaling winners without waiting for a human review cycle.

05

Learn

Every result feeds back. Which hook held attention, which model converted, which CTA closed. The next batch starts from proof.

Each cycle your creative gets sharper and your cost per acquisition gets lower - without anyone adding a step to their week.

"Can't I just use a video tool and an ad tool separately?"

You can. But two disconnected tools produce assets and reports. Neither produces a system that improves on its own - and every hour spent moving files between them is an hour your competitor's ad account spent optimizing.

Video tool + ad toolEngageReel
01Creative-to-performance linkYour ad platform can't tell you why a video workedEvery video tagged and tied to ROAS, CPA and conversions automatically
02Optimization cadenceWeekly review, if it happensContinuous - bids, budget and placements adjusted 24/7
03Learning loopInsights die in the ad platform; the content team never sees themEvery result briefs the next batch of creative
04Fashion specificityGeneric tools don't understand fit, drape or on-model presentationPurpose-built for apparel - PDP, lifestyle and ad video out of the box
05Handoff costManual export, re-upload, re-tag between toolsOne click from generated video to live ad
06Vertical expertiseBuilt for every industry, expert in noneTrained specifically on fashion and apparel eCommerce

The numbers this loop is built to hit

60%Higher ROAS from AI-managed spend vs. manual
72%Reduction in wasted ad spend within 30 days
Higher conversion rate vs. static product images
50%Fewer returns from accurate fit expectations
4 hrsSaved weekly across content and media buying

Placeholder structure - replace the X figures with validated data, or label the set "illustrative", before publishing.

Built for

Every team in fashion eCommerce

D2C Fashion Brands

Launch a collection with full video coverage and campaigns that start optimizing on day one, not after the first weekly review.

Multi-Brand Retailers

One workspace across hundreds of SKUs and many brand identities, with performance learning shared between them.

Fashion Agencies

Every client's creative and spend in a single dashboard, with the reporting layer already built. White-label ready.

Marketplace Sellers

Listing-ready video across every channel, with spend optimized per marketplace.

Under the hood

What makes the loop work

AI Creative Tagging

Every video generated - and every ad already running in your account - is tagged automatically: model type, garment category, hook style, scene, CTA, palette. No manual labelling. This is the data foundation both engines run on, and it's the part competitors can't retrofit.

Creative Strategy Assistant

Ask in plain English: "Which hook is converting best for our dress category this month?" Answers come from your actual spend, not a dashboard you have to interpret yourself.

Fatigue & Waste Detection

Know before ROAS drops. Creative fatigue, junk placements, audience overlap and budget pacing issues surface in real time - the problems that cost a media buyer hours of manual review every week.

Multi-Platform Publishing

Generate once, publish everywhere: Shopify PDPs, Meta, Google, TikTok, Instagram, email, WhatsApp - every aspect ratio, from one source video.

Frequently asked questions

Is EngageReel a video tool or an ad management tool?

It's an ad performance platform that happens to make its own creative. The Ad Engine runs and optimizes your spend across Meta, Google and TikTok. The Content Engine generates the next creative from what that spend proved. You can use either alone, but the compounding only happens when both run.

Do I need a media buyer or video editor to use this?

No. EngageReel handles bid, budget and audience optimization - you approve recommendations or set guardrails and let it run. On the creative side, no editing skill is required; the system briefs itself from your performance data.

Can't I just connect an LLM to my ad accounts and use a separate AI video tool?

You can, and it demos well. But an LLM reads campaign numbers when asked - it doesn't watch and tag every creative frame-level the way EngageReel does, and it has no memory of what a fashion audience responds to. A generic video tool doesn't know what "on-model", "drape" or "PDP-ready" mean. You'd have two tools and no loop between them.

How is this different from the creative reporting my ad platform already gives me?

Ad platforms report at the ad and campaign level. EngageReel reports at the creative attribute level - hook, model, scene, CTA, palette - and then acts on it by generating more of what won. Reporting tells you an ad did well. This tells you what to make next.

Will this work for our garment types and brand aesthetic?

Yes. Upload your product photos and brand guidelines - EngageReel adapts models, scenes and styling to your catalog and identity, not a generic template.

What ad platforms do you support?

Meta, Google and TikTok today, with more rolling out based on demand.

Is my product and brand data safe?

Your assets, videos and ad data stay isolated to your workspace and are never used to train models for other customers.

How fast will we see results?

Optimization insights typically surface within the first 24 hours of connecting your accounts. Meaningful creative learning needs roughly two weeks of spend before the loop starts compounding.