Case Studies
Client Success Stories
How agencies, DTC brands, and Fortune 500 enterprises are transforming their production economics with ArcaneWiz.
These case studies represent composite scenarios based on industry benchmarks and typical AI production outcomes. Client names are hypothetical. All metrics reflect realistic, defensible results.
Case Study 01 — Ad Agency
Momentum Creative
How a 60-person agency delivered a 6-spot national campaign in 10 days instead of 8 weeks, cutting production costs by 72%.
72%
Cost Savings
10 Days
Production Timeline
24
Final Assets Delivered
The Challenge
Momentum Creative won a competitive pitch for a mid-market activewear brand preparing a Q4 product launch. The scope: six 30-second hero spots covering three product lines, each in multiple aspect ratios. But two months of internal deliberation left just three weeks before media placements locked. Traditional production would take 8–10 weeks at $320,000. The agency faced an impossible choice: scale back, delay the launch, or find a fundamentally different approach.
The ArcaneWiz Solution
Under an Enterprise engagement, ArcaneWiz compressed an 8-week production pipeline into 10 days:
- Day 1–2: Creative direction workshop — mood boards and AI-generated style frames within 24 hours
- Day 3–5: AI production sprint — six spots across three distinct cinematic environments, simultaneously
- Day 6–7: Professional sound design, licensed music, custom color grade
- Day 8–10: Revisions, multi-format delivery — 24 total assets at 4K, broadcast-grade
Results
| Metric | Traditional | With ArcaneWiz |
|---|---|---|
| Production timeline | 8–10 weeks | 10 days |
| Total cost | $320,000 | $89,000 |
| Final assets | 6 spots, single format | 6 spots × 4 formats = 24 |
| Campaign launch | Delayed to Q1 | On-time Q4 |
“ArcaneWiz didn’t just save the campaign — they gave us a production capability we didn’t know existed. The quality was indistinguishable from our best traditional shoots, and we delivered four times the assets.”
— Sarah Mendez, Executive Creative Director, Momentum Creative (representative)
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See how ArcaneWiz can deliver these results for your agency. View Pricing · AI vs Traditional Production
Case Study 02 — DTC E-Commerce
Vellora Skincare
How a premium skincare brand scaled from 2 product videos per quarter to 20 per month — while preserving a luxury aesthetic competitors couldn’t replicate.
90%
Per-Asset Cost Reduction
46%
ROAS Improvement
20/mo
Video Assets Produced
The Challenge
Vellora had built a loyal customer base through a distinctive minimalist, botanical-inspired brand aesthetic. But social algorithms demanded fresh creative at a pace they couldn’t sustain — just 2 polished videos per quarter. Ad creative fatigue hit after 10–14 days. ROAS declined 23% over two quarters. DIY AI tools stripped away the brand identity that customers loved.
The ArcaneWiz Solution
ArcaneWiz built a proprietary style reference capturing Vellora’s exact lighting, color palette, texture language, and motion characteristics. Monthly delivery included:
- 4 hero product spots — 30-second cinematic showcases per featured SKU
- 12 social-first shorts — 8–15 second clips for Reels, TikTok, Stories
- 4 seasonal campaign assets — thematic videos for launches and promotions
Results
| Metric | Before | After ArcaneWiz |
|---|---|---|
| Videos produced/month | ~0.7 | 20 |
| Cost per video | $6,000 | $600 |
| Paid media ROAS | 2.8× (declining) | 4.1× |
| Creative fatigue window | 10–14 days | 28+ days |
| Organic engagement | 2.1% | 3.8% |
“Every AI tool we tried before made us look like a generic brand. ArcaneWiz understood that our aesthetic IS our product. They didn’t just match our look — they elevated it. Our ROAS speaks for itself.”
— Elena Voss, Founder & CEO, Vellora Skincare (representative)
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Case Study 03 — Fortune 500 Enterprise
Atlas Industrial Group
How a global industrial manufacturer A/B tested video creative across 5 markets simultaneously, achieving 3.2× faster optimization cycles at 97% less cost per variant.
42
Video Variants Produced
$1,119
Cost Per Variant
3.2×
Faster Optimization
The Challenge
Atlas Industrial was launching a collaborative robotics platform across five markets — US, Germany, Japan, South Korea, and Brazil. Each market required distinct cultural contexts, regulatory messaging, and visual approaches. Their agency quoted $1.8M and 14 weeks for 30 video variants. Atlas had budget for a third of that and needed to be in-market in six weeks.
The ArcaneWiz Solution
ArcaneWiz designed a modular production system for multinational creative testing:
- Week 1–2: Strategic creative framework — 5 markets × 3 value propositions × 2 visual approaches = 30 variants
- Week 3–4: Modular AI production — shared core assets, market-specific assembly
- Week 5–6: Delivery with structured naming taxonomy and performance tracking
- 72-hour turnaround: 12 additional optimization variants based on first-flight data
Results
| Metric | Traditional | With ArcaneWiz |
|---|---|---|
| Total variants | 5–8 (budget-limited) | 42 |
| Production cost | $1.8M quoted | $47,000 per flight |
| Cost per variant | $60,000–$225,000 | $1,119 |
| A/B test cycle time | 6–8 weeks | 2 weeks (3.2× faster) |
| MQL-to-SQL conversion | 12% | 19% (42% improvement) |
| Cost per qualified lead | $340 | $215 (37% reduction) |
“We tested 30 creative variants across 5 markets for less than what a single traditional shoot would cost. The data we got back reshaped our entire regional messaging strategy — that’s not a production vendor, that’s a strategic capability.”
— Marcus Brandt, VP Global Marketing, Atlas Industrial Group (representative)
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Transform your global creative testing pipeline. View Pricing · ArcaneWiz vs Traditional: Side-by-Side
Your Brand. Broadcast-Grade AI Production.
Whether you’re an agency, a DTC brand, or an enterprise — the production pipeline that transforms your creative output starts with a Vision Call.
Representative Results Disclaimer: These case studies present composite scenarios based on industry benchmarks and typical outcomes achievable through AI-accelerated video production. Client names, company details, and specific results are hypothetical. Actual results vary based on project scope, creative requirements, and market conditions. Metrics cited reflect realistic ranges supported by published data on AI production efficiency gains and digital advertising performance benchmarks.
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