The Creative Volume Your Media Buyer Needs. Without the Production Queue.
AI-assisted creative production via Google Veo 3.1, Gemini Omni, Nano Banana 2, Higgsfield, and ElevenLabs. Ship operator-grade ad variant volume per active client without 10-person creative teams.
Creative Is the Targeting Now. The Bottleneck Is Production, Not Ideas.
Most brands know they need more creative volume. The production pipeline (script, shoot, edit, iterate) cannot keep up with testing velocity. At $100k+/mo on Meta, the brands compounding fastest are testing operator-grade variant volume. A team without AI-augmented production cannot reach that velocity without a production cost that makes the testing math unprofitable.
How we operateThe operating model, in 33 words
EcomLabs360 runs full-funnel growth for founder-led DTC brands at $100k+/mo through a proprietary AI-augmented stack, a cross-account knowledge OS, and a team that operates its own brands in parallel.
What we run inside your account
- 01
Founder-led video hooks via Google Veo 3.1 and Higgsfield
AI-assisted scripting paired with Google Veo 3.1 video generation and Higgsfield marketing studio. Founder-style talking-head hooks, product-in-use sequences, and lifestyle composites produced at scale. First production run takes a focused window for brief development and tool calibration.
- 02
UGC-style video ads with AI voices via ElevenLabs
UGC-style video production using ElevenLabs voice synthesis paired with real footage compositing. Produces the testimonial and social-proof-forward formats that dominate cold-traffic performance without the talent scheduling and reshoot costs.
- 03
Static ad variants via Nano Banana 2 for rapid iteration
Operator-grade static image variants per testing week. Product shots on varied backgrounds, lifestyle composites, and ad card variants produced from the same core brief without reshooting product. Each variant scores through eval-judge before it ships.
- 04
Hook pool development
Multiple headline and hook variants per angle, extracted from VOC research and cross-account pattern data. We test the pool and scale what the algorithm rewards. Hook testing is the fastest path to creative signal.
- 05
Eval-judge quality gate per variant
Every output scored against the brand brief, target hook, and offer framing before it reaches the media buyer. Scores cover visual brand alignment, copy quality, offer clarity, and AI artifact detection. The media buyer only sees approved creative.
Across the active client roster, we ship operator-grade ad creative volume per account on a steady cadence. The AI-augmented production stack is what makes that velocity achievable at the cost structure that justifies the testing rhythm. Creative is the targeting now: the brands testing more variants are finding signal faster and scaling it earlier.
The full creative range, produced in-house.
- Meta Performance Creative
- UGC Strategy & Creator Briefs
- Google Ads
- VSL Production
- TikTok Ads
- AI "Native" Ads
- AI Generated UGC Video Ads
- AI Studio Photography Work
- Offer Pages
- Advertorial Pages
- Listicle Pages
- Shopify Store CRO
From diagnostic to compounding outcome
- 01
Diagnose
Creative strategy starts with the angle map. Current creative library audited, angle hypotheses identified, hook pool surfaced from VOC research. Brand brief built for production calibration before anything generates.
- 02
Architect
Production batch in the new tools. Briefs calibrated in Google Veo 3.1, Nano Banana 2, and Higgsfield. First batch generated, eval-judge scored, below-threshold outputs cut or reworked before the media buyer sees anything.
- 03
Operate
Approved variants ship on a steady weekly cadence. Performance data from in-market tests feeds the next brief. The production rhythm matches the test rhythm, not the other way around.
- 04
Compound
Creative refresh cycles run monthly. Winners scaled. Losing angles analyzed for cross-account learning. The pattern data from the playbook feeds the next cycle. Creative signal compounds with every test cycle.
The metrics that move business outcomes
Variants shipped per month
Production velocity: the floor is operator-grade per active client at testing-cadence scale.
Hook rate (thumb-stop rate)
Percentage of impressions that stop the scroll: the first creative efficiency metric.
Eval-judge creative score
Internal quality scoring per variant against the brand brief: tracked before shipping, not after.
CTR per variant
Click-through rate by creative: identifies which angles generate curiosity at scale.
Cost per variant produced
Production economics: AI-augmented is a fraction of traditional video at comparable quality.
Scale-rate (variants surviving 7-day spend gate)
Percentage of shipped variants that earn continued spend after week 1 performance: quality signal.
Good fit / Not a fit
- DTC brand at $100k+/mo that needs operator-grade creative variant volume for testing velocity
- Active Meta or TikTok media buyer who tests creative weekly and needs a supply chain
- Open to AI-assisted hook development and willing to test unconventional angle hypotheses
- Brand with existing product photography and brand assets to integrate into the AI pipeline
- Brand with an anti-AI creative position that is not open to AI-augmented production
- Sub-scale ad spend where the testing cadence does not justify operator-grade variant volume
- Brand expecting fully bespoke human production at AI-level cost: those are different economics
Documented engagements for this service
How the AI creative stack works
AI creative production is not a content factory. It is a testing machine. The goal is to find the creative signal that moves the target audience faster than a human-only production shop can iterate.
Google Veo 3.1 video produces narrative-style content that reads as organic UGC when properly directed. Product demonstration sequences, testimonial overlays, and brand story shorts are the primary formats. Calibrated to the brand brief, Google Veo 3.1 produces video that performs in Reels and TikTok feed placements at a production cost that makes weekly test cycles viable.
Nano Banana 2 static handles the image generation load: product shots on varied backgrounds, lifestyle composites, and ad card variant production. Operator-grade variant volume from the same brief without reshooting product. Each variant scores through eval-judge before it ships to the media buyer.
Higgsfield motion animates static product shots and adds kinetic elements that perform better in Reels and TikTok scroll environments. A static product image animated with the right motion pattern can outperform a dedicated video shoot on CPA at a fraction of the production cost.
The eval-judge quality gate is what separates this from a content factory. Every output is scored against the brand brief before it reaches the campaign manager. The score covers visual brand alignment, copy hook quality, offer framing clarity, and AI artifact detection. We cut what does not score above threshold. Operators in the e-com field since 2014, the quality gate is what keeps volume from becoming noise.
How AI creative integrates with media buying and the full funnel
On full-funnel retainers, the creative team and the media buyer share a weekly production brief. The buyer identifies which angle is underperforming and which targeting needs new creative. The production team generates the variants. The buyer tests them. The result feeds the next brief. The cycle runs weekly. The winning angles from creative testing feed the LP headline testing in CRO and the welcome series hooks in Klaviyo.
FAQ
Do these ads look AI-generated?
What AI tools are in the stack?
What is the production cost per ad?
Can we use existing brand assets?
What if a particular AI tool changes pricing or shuts down?
How do retainers work?
What is the timeline from first call to active management?
What is the minimum monthly commitment?
If you are a growth-focused ecommerce brand doing $100k+/mo on Shopify, $3M+/yr on Amazon, or $2M+/yr on TikTok Shop, we would love to help you scale to your next milestone.
