Blue Light Glasses Virtual Try On Pricing: What to Expect and How Much It Costs

Why virtual try on matters for blue light glasses

The decision to add VTO should be assessed based on business outcomes: increased conversions, reduced returns, and increased average order value (AOV). Relevant industry sources indicate that augmented reality and product visualization can influence purchasing decisions—see Shopify’s overview of AR for ecommerce and Snap’s AR commerce resources for context.

Rather than the promise of a single uplift figure, think of VTO as a conversion accelerator that:

• Reduces uncertainty regarding fit and style, which reduces returns and post-purchase dissonance — see frame fit guide: cermin.id/frame-fit-try-on-guide.
• Encouraging customers to try more SKUs and upgrade to premium options helps increase AOV.
• Increase engagement on product pages and social ads through hands-on experiences.

If you need numerical benchmarks for your presentation, gather your conversion baseline and return rates and validate them against published case studies — e.g. tryitonme.com/case-studies.

Overview — How vendors price virtual try on

Vendors use several common pricing approaches. The following handy summary will help you map the models to your budgeting needs.

Pricing models — quick definitions

• SaaS subscription: Recurring fees for hosted VTO platforms (monthly/annual). Predictable, but can limit volume.
• Per‑SKU: unit cost per product model/variant; suitable if SKUs are limited.
• Per‑session: pay based on try‑on sessions; suitable for high traffic and pay‑per‑use models.
• Revenue share: Vendors take a percentage of sales attributable to VTO; align incentives but complicate bookkeeping.
• Enterprise custom: one-time project fee for custom AR development, integration, and SLA.

One‑time vs ongoing costs (what to budget)

• Setup / onboarding: one-time fee for project management and initial asset processing.
• Asset creation: cost per‑SKU for 2D masks or 3D models.
• Hosting & CDN: recurring costs related to traffic and media delivery — see AWS pricing and CDN opsi like Cloudflare.
• Support & maintenance: SLA tiers for uptime, updates, and priority fixes.
• Analytics / integrations: A/B testing, BI exports, or custom reports can add recurring costs.

Callout — SDK/API vs no‑code link‑based deployment

SDK/API: full control and custom integration, but requires engineering effort and maintenance.

No‑code link‑based (tryitonme.com): No engineering required; deliverables are product links that can be placed on product pages, social media, and ads—fast rollout, ideal for lean teams. See the link deployment example.

Inputs That Change Cost (detailed breakdown)

Focus on the following levers for VTO cost estimation — each item has a significant impact on scope and price.

1) SKU count and variants

What matters: number of frames, colors, and size variants. Cost impact: more SKUs = more asset and QA work. Example: 20 SKUs vs. 200 SKUs can increase asset processing and hosting costs.

2) Asset complexity: 2D vs 3D

2D overlay/masking: lower cost, quick to produce, suitable for many blue light frames — see example guide. 3D models/photogrammetry: higher fidelity, useful for premium frames — 3D tool reference: Unity resources, Sketchfab.

3) Feature complexity

• Basic face overlay: modest cost.
• Face tracking, pivot/rotation, tint visualization: costs increase with features.
• Prescription simulation: usually more complex and requires domain checking — referensi fit guide: cermin.id frame fit.

4) Channels and distribution

One easy shareable link — embed it in product pages, social bios, or landing ads. Additional formats for marketplaces or custom mobile apps add work.

5) UX/customization and analytics

Branded UI, A/B tests, and advanced analytics exports add to the implementation and monthly costs.

6) Support, SLAs, and security

Fast SLAs, dedicated support, or compliance requirements (e.g. GDPR/enterprise security) can increase costs.

7) Traffic, hosting and CDN

High session traffic increases bandwidth and CDN overhead; use the cloud pricing guide for estimates.

How SKU counts affect pricing — short worked example

Illustrative example: if per‑SKU processing is $20 (example figure):

• 20 SKUs → 20 × $20 = $400 one‑time asset processing (example).
• 200 SKUs → 200 × $20 = $4,000 one‑time asset processing (example).

Label: these figures are examples only to aid modeling; confirm per-SKU costs with your vendor or tryitonme.com/pricing.

Typical Price Ranges and Sample Virtual Try On Packages (example tiers)

Illustrative package example — final pricing confirmation with tryitonme.com/pricing.

Starter (example)

• SKUs: up to 20
• Features: link‑based VTO, basic face tracking, standard analytics
• Setup: $0–$100 (example)
• Monthly: $50–$200 (example)
• Best for: small DTC brands piloting VTO

Growth (example)

• SKUs: up to 100
• Features: analytics, A/B testing, light UI customization
• Setup: $100–$500 (example)
• Monthly: $200–$1,000 (example)

Pro (example)

• SKUs: up to 500
• Features: custom UI, multi‑channel support, premium analytics
• Setup: $500–$2,000 (example)
• Monthly: $1,000–$3,000 (example)

Enterprise (example)

• SKUs: custom
• Features: 3D assets, prescription simulation, dedicated SLA
• Setup: $2,000+ (example)
• Monthly: custom pricing (example)

Cost of Blue Light Glasses Try On — Worked Examples (example)

Small DTC — 20 SKUs (example)

• Setup/asset processing: $400 (example)
• Monthly: $150 (example)
• First‑year total: $400 + ($150 × 12) = $2,200 (example)

Mid‑size Brand — 200 SKUs with 3D assets (example)

• Setup/asset processing: $4,000 (example)
• Monthly: $800 (example)
• First‑year total: $4,000 + ($800 × 12) = $13,600 (example)

Enterprise — custom integrations (example)

• Setup: $10,000+ (example)
• Monthly: $3,000+ (example)
• First‑year total: $46,000+ (example)

Note: Blue light glasses projects are often less complex than prescription lens simulations because they typically do not require optical rendering prescriptions; confirm feature requirements with the AR provider and see 
tryitonme case studies.

Comparison — Custom SDK/API vs No‑Code Link-Based VTO

• Time‑to‑Market: SDK/API — weeks to months. No‑code link — hours to days (typical).
• Engineering Effort: SDK/API — significant. No‑code — not required.
• Maintenance: SDK/API — ongoing updates. No‑code — centralized updates, lower TCO.
• Flexibility: SDK/API — deep integration. No-code — fast and standard.

tryitonme.com are ZERO‑CODE and LINK‑BASED, usually the fastest for VTO accessories.

ROI and Business Case

A simple ROI model requires three inputs: baseline conversion rate, expected uplift, and AOV. Use conservative assumptions and label uplift as illustrative unless supported by a case study.

Simple ROI formula (example)

Monthly incremental revenue = Visitors × Baseline Conversion × Conversion Lift × New AOV

Payback period = First‑year VTO cost / Monthly incremental profit

Worked calculation (example assumptions)

• Visitors: 10,000/month
• Baseline conversion: 2.0%
• Baseline AOV: $100
• Conversion lift: 0.5 percentage points (contoh: dari 2.0% → 2.5%)

New monthly revenue = 10,000 × 0.025 × $100 = $25,000 (example). Old = $20,000. Monthly uplift = $5,000. Jika biaya VTO bulanan = $500 (example), payback < 1 bulan. Label semua angka sebagai example; verifikasi asumsi uplift dengan case studies atau sumber industri seperti Shopify AR overview.

How to Choose the Right Virtual Try On Package (Checklist)

• SKU count and complexity
• Preferred asset type: 2D or 3D
• Target channels: web, mobile, social, marketplaces
• Required features: face tracking, tint options, analytics
• Traffic and expected sessions per month
• SLA and support expectations
• Pricing model preference: subscription, per‑SKU, usage

Vendor checklist

• Live demo and sample shareable link
• No‑code deployment option
• Pricing transparency and sample packages
• Case studies and measurable outcomes
• Data handling and security controls

Why tryitonme.com is the Right Fit for Your Business

• Accuracy for accessory VTO: optimized for eyewear and accessories.
• Speed: typical link delivery and deployment in under 3 business days (typical).
• Easy integration: ZERO‑CODE, link‑based — no SDK/API required.
• Predictable pricing: SKU and package options to match scale.
• Dedicated support and AR processing handled by tryitonme.com team/AI.

Book a demo: tryitonme.com/demo

Getting Started with tryitonme.com — Step‑by‑Step

1. Purchase a 6‑month package based on the number of SKUs required (estimated: tryitonme.com/pricing).
2. Submit standard product photos (front & side for eyewear) or 3D assets as needed. Guidelines: clear lighting, neutral background — example: cermin.id/tryitonme-eyewear-virtual-tryon.
3. Tryitonme’s AI team handles AR processing and QA.
4. Receive a unique, ready-to-use try‑on link — usually in under 3 business days for standard packages (typical; confirm upon ordering).

Conclusion & Clear CTA

The price of VTO blue light glasses depends on the number of SKUs, asset fidelity, features, and distribution channels. For the fastest path to VTO testing, a zero-code link-based approach like tryitonme.com reduces engineering overhead and accelerates time-to-market.

Ready to see a live link and get a tailored estimate? Book a demo or run the estimator: tryitonme.com/pricing.

Visuals & Supporting Assets (for designers)

• Pricing table (Starter/Growth/Pro/Enterprise) — caption: “Example package tiers; confirm pricing with sales.” Alt: “Sample VTO pricing tiers.”
• Cost‑driver infographic — caption: “Major inputs that drive VTO cost.” Alt: “Infographic showing SKU count, asset complexity, features, channels.”
• ROI calculator screenshot & downloadable spreadsheet — caption: “Use this spreadsheet to model VTO ROI.” Alt: “ROI calculator screenshot.”
• Example VTO link embed or GIF showing blue light glasses try‑on flow — caption: “Live link demo of blue light glasses try‑on.” Alt: “Animated GIF of blue light glasses VTO on a model.” — contoh link: cermin.id tryitonme eyewear.
• Short demo video link — caption: “2‑minute demo: deploying a VTO shareable link.”

Data & Evidence to Gather (research anchors + internal asks)

• Benchmarks for conversion lift & return reduction: Shopify AR overview and Snap AR commerce.
• tryitonme.com customer quotes / case results: tryitonme.com/case-studies.
• Konfirmasi implementation timelines & per‑SKU pricing: tryitonme.com/pricing.
• Competitor public pricing for benchmarking (flag for pricing team).

Calls to Action & Next Steps (copy snippets)

• Demo (primary): “See a live blue light glasses try‑on — Book a Demo” — Book a Demo
• Request pricing/estimator: “Get a custom price for your SKU count” — Get Pricing
• Download ROI tool: “Download our VTO ROI Calculator” — (link to downloadable spreadsheet).