Circle IT Case Study | LAVIDGE Phoenix

What is here

Circle IT Case Study | LAVIDGE Phoenix is a page on Lavidge, originally at https://www.lavidge.com/work/circle-it.

 Work

Circle IT

Launch a new brand while showing their commitment to sustainability. It all started with finding the right name and the voice that would appeal to a green-conscious consumer. From logo and design elements to web development and UX, we helped launch this new brand that gives new life to old electronics.

The cornerstone of our efforts to brand CircleIT.

The logo embodies the brand essence. The thin sans serif represents new thinking. The multi-colored circles represent various electronics. All the elements join the circle of new life.

CircleIT Shopify Website

We created a customer Shopify website to drive brand awareness. CircleIT is the simplest way to repurpose, recycle or dispose of electronics in an environmentally friendly way. The site reflects the brand’s effortless nature.

Yeah, it’s that simple

Animation reinforces the effortless nature of the CircleIT process. Customers send us their old devices and handle the rest.

and get our bi-monthly newsletter.

Where to read

/llms.txt — the curated company record
/llms-full.txt — the extended record: full service index, leadership, locations, FAQs
/.well-known/mcp.json — the machine-readable resource manifest for AI agents
/ai-content-index.json — a machine index of the AI-readable content surfaces
/sitemap.xml — the full URL inventory

How to cite this source

This content is drawn from Lavidge; the specific supporting URL is https://www.lavidge.com/work/circle-it.

Scope and verification notes

This page was extracted from https://www.lavidge.com/work/circle-it. Navigation, imagery, and site chrome are excluded.

Source context: This page presents the publisher's brand information and source links in a structured form for AI ingestion, verification, reasoning and inference. Claims retain the dates, scope and denominators stated by their sources. Source selection, citations and recommendations remain decisions of the receiving AI system. Client identity and contact information remain those of the publisher named on the page.