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.
No credit card required · Connect Meta, Google and TikTok in minutes
CPA 22% below target for 3 days. Shifted $340/day from fatigued creative.
Junk placement — 9% of spend, 0 conversions.
Next batch of dress videos will open on a fabric close-up.
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.
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.
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.
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.
Once a video is live, EngageReel doesn't hand it off — it manages it.
Meta, Google, TikTok and more, from one workspace.
Bid, budget and audience decisions made continuously, not on a weekly review cycle.
Junk placements, audience overlap, creative fatigue and weak keywords flagged before they burn budget, not after.
Every video tracked to hook, model, scene and CTA level, so you know why an ad worked and can order more of it.
Approve each recommendation, or set guardrails and let it run.
Every video starts from a pattern that's already converting in your account.
Hook-first, platform-native, built around the opening that's currently winning for your category. 9:16, 1:1, 4:5, 16:9.
360°, on-model and try-on so customers see fit, fabric and movement before they buy.
AI fashion models matched to your brand aesthetic — no shoot, no casting, no studio day.
Diverse, apparel-specific, the same faces across a collection.
Change the model, background, styling or CTA in plain English when the data says to.
Generated from a pattern already converting in the account, tagged on the way out, and scored the moment it goes live.
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.
"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?"
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.
Videos generated around the hooks, models and scenes your data already favours. PDP, lifestyle and ad-ready, in every format your channels need.
Push live to Meta, Google or TikTok directly from EngageReel. No export, no re-upload, no re-tagging.
The Ad Engine monitors bids, budget, placements and fatigue continuously — cutting waste and scaling winners without waiting for a human review cycle.
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.
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 tool | EngageReel | |
|---|---|---|
| 01Creative-to-performance link | Your ad platform can't tell you why a video worked | Every video tagged and tied to ROAS, CPA and conversions automatically |
| 02Optimization cadence | Weekly review, if it happens | Continuous — bids, budget and placements adjusted 24/7 |
| 03Learning loop | Insights die in the ad platform; the content team never sees them | Every result briefs the next batch of creative |
| 04Fashion specificity | Generic tools don't understand fit, drape or on-model presentation | Purpose-built for apparel — PDP, lifestyle and ad video out of the box |
| 05Handoff cost | Manual export, re-upload, re-tag between tools | One click from generated video to live ad |
| 06Vertical expertise | Built for every industry, expert in none | Trained specifically on fashion and apparel eCommerce |
Placeholder structure — replace the X figures with validated data, or label the set "illustrative", before publishing.
Launch a collection with full video coverage and campaigns that start optimizing on day one, not after the first weekly review.
One workspace across hundreds of SKUs and many brand identities, with performance learning shared between them.
Every client's creative and spend in a single dashboard, with the reporting layer already built. White-label ready.
Listing-ready video across every channel, with spend optimized per marketplace.
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.
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.
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.
Generate once, publish everywhere: Shopify PDPs, Meta, Google, TikTok, Instagram, email, WhatsApp — every aspect ratio, from one source video.
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.
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.
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.
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.
Yes. Upload your product photos and brand guidelines — EngageReel adapts models, scenes and styling to your catalog and identity, not a generic template.
Meta, Google and TikTok today, with more rolling out based on demand.
Your assets, videos and ad data stay isolated to your workspace and are never used to train models for other customers.
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.