Partners
Our work is supported by our corporate partners, but Chamber of Progress remains true to our stated principles even when our partners disagree. No partner companies sit on our board of directors or have a vote on our work.
Our Partners Serve Millions of Happy Customers
Technology doesn’t just move fast: it moves people, goods, and ideas. Across the world, people depend on these services to save time, lower costs, support their families, grow their businesses, and stay connected.
As lawmakers craft policy, they should keep in mind what’s at stake: real people who rely on these tools to make daily life easier and more affordable.
Those happy customers don’t typically speak up about policy proposals that would impact those services — but sound public policy preserves the products they rely on every day.
Happy U.S. Customers By Service
Autonomous Vehicles
1.5M
Est. Customers
74%
Happiness Rate
Business Software
85M
Est. Customers
58%
Happiness Rate
Crypto / Digital Assets
73M
Est. Customers
60%
Happiness Rate
Delivery Services
160M
Est. Customers
62%
Happiness Rate
Smart Devices
455M
Est. Customers
83%
Happiness Rate
Generative AI
166M
Est. Customers
75%
Happiness Rate
Lending
3.5M
Est. Customers
77%
Happiness Rate
Ridesharing
180M
Est. Customers
63%
Happiness Rate
Search Engines
5.75B
Est. Customers
82%
Happiness Rate
Short-Term Rentals
130M
Est. Customers
57%
Happiness Rate
Methodology
How We Estimate “Millions of Happy Customers”
Core data sources
- Public financial filings (e.g., annual reports, 10-Ks)
- Official company disclosures and press releases
- Industry and market-research reports
- Independent analytics on web traffic, app downloads, and device installations
Start from hard numbers
- We anchor on reported metrics, such as:
- Active users, active customers, or active accounts
- Total orders, rides, bookings, tickets, or trips
- Installed base of devices or app downloads
- Regional revenue splits (e.g., U.S. vs. rest of world)
Convert activity into people
- When annual unique-user counts aren’t disclosed, we estimate them by:
- Converting revenue into orders using average order value
- Converting orders/rides/trips into users using realistic “per-person per year” usage ranges
- Converting devices into users by dividing by typical devices per person
- Using web-traffic or geographic revenue shares to approximate the U.S. portion of a global user base
Notes
- When annual unique-user counts aren’t disclosed, we estimate them by:
- These are economic estimates, not official company figures.
- Different platforms define “users” differently (monthly active, annual active, registered, etc.).
- Some inputs (like app downloads or wallets) are only proxies for people and may include inactive or duplicate accounts.
- This approach provides a consistent, transparent way to compare the scale of real-world customer use across very different products and services.