Magic Layers

Magic Layers turns flat client PNGs and JPEGs into named, transparent layers, which means agencies can repurpose finished creative without hunting for original source files. With per-image credit costs (2 credits per layer, minimum 4 per job), resellers can fold this variable expense into retainer pricing, turning a one-time asset delivery into an ongoing revenue stream.

Magic Layers charges 2 credits per layer with a 4-credit minimum per job. For an agency reselling this capability, the margin threshold is the point where per-image credit costs eat the retainer profit. Consider a client with 30 flat brand images needing 5 layers each: that is 300 credits, or $21.75 on the $29 Basic plan (400 credits). If the agency bundles this into a $1,800 asset refresh retainer, the credit cost is negligible. But for high-volume adaptation, say 200 images monthly, credit consumption hits 2,000 credits, forcing a $149 Studio plan ($2,400 credits) at $0.062 per credit, totaling $124. Agencies must price per-image or cap layer counts to stay above the threshold. The framework: map client asset volume and average layer count to credit burn, then set retainer or per-deliverable fees that cover the plan tier plus a 30% margin. This prevents variable costs from silently eroding project profitability.

The Automation-Creative Split framework guides agencies to divide image editing into two distinct workflows: repetitive optimization tasks that can be automated for efficiency, and high-touch creative retouching that demands human nuance. Agencies that over-automate risk flattening brand-defining visuals, while those that under-automate waste margin on routine compression and resizing. For example, an agency handling a high-volume e-commerce client might deploy Imagify to auto-compress and convert product shots to WebP, cutting page weight and improving Core Web Vitals without manual effort. Meanwhile, a premium campaign hero image requiring compositing or retouching should stay with a skilled designer or a specialized service. This split ensures cost efficiency on the pipeline while preserving creative quality where it drives client KPIs like conversion and brand consistency. The framework prevents the trap of applying automation indiscriminately, aligning tool choice with the strategic value of each asset.

The Optimization Ceiling Test asks one question before any compression or format conversion: at what point does shrinking a file start costing the client more than it saves? Every image has a floor where WebP or AVIF conversion, aggressive resizing, and lossy compression begin to degrade the visual signal that carries brand meaning. Agencies that treat optimization as a pure efficiency lever routinely cross that floor on hero imagery while leaving 40-plus thumbnail assets untouched. The framework splits the asset library into two lanes: performance assets (product grids, blog headers, email thumbnails) where automated pipelines like Imagify or MageCDN should run unattended, and brand assets (campaign key visuals, packaging shots, founder portraits) where a human reviews output at 100 percent zoom before delivery. The test is cheap to run and prevents the common retainer failure where a client notices a soft hero image before they notice the faster page speed.

Adopt Magic Layers only when your agency has a defined layer-based editing workflow and can pass the variable credit cost into client pricing.

Automate the repetitive optimization pipeline to cut cost, but keep or outsource creative retouching for premium brand work.

If your agency regularly repurposes client assets without original source files and can fold the per-image credit cost into retainer pricing, then Magic Layers is a viable buy. However, if your clients need high-volume, low-cost layer extraction, the Basic plan's 400 credits at $29/month (2 credits per layer, minimum 4 per job) may not scale, making a skip or defer more prudent.

A five to seven day engagement that converts flat client images into named, transparent layers, enabling creative repurposing without original source files and integrating with Photoshop, Figma, and Canva.