Traditional analytics platforms
100 million events
Usage-based analytics pricing can turn basic instrumentation into a multi-thousand-dollar monthly line item, especially once you measure what actually drives revenue.
Run Every Experiment Worth Running.
A high-volume experimentation platform built for product teams, publishers, and growth engineers. Server-side, client-side, edge-native, and designed to make large-scale event volume economically boring.
The cost of observation
Your traffic shouldn't make experimentation prohibitively expensive.
Your infrastructure
100 million events
Events go into inexpensive warehouse infrastructure built to handle enormous datasets. Observation stays cheap at the scale you already operate.
The difference
Instrument freely
Don't avoid measuring scrolls, ad opportunities, impressions, exposures, or engagement because every event has a marginal SaaS fee. Collect more, not merely pay less.
The experiment desk
If your product can change it, you can test it.
Page & experience
Homepage redesigns
Swap components, layouts, content, navigation, CTAs and entire page experiences.
Monetization
Ads & revenue
Test ad layouts, density, floors, gating, placement and monetization strategies.
Conversion
Funnels & offers
Run experiments across forms, recommendation flows, onboarding and checkout.
Performance
Infrastructure
Compare CSS strategies, rendering modes, loading behavior and delivery architecture.
Personalization
Targeted experiences
Experiment by device, geography, acquisition source, returning status or custom attributes.
Server side
Not just button colors
Branch application logic and rendered HTML, not merely DOM mutations after page load.
How the system works
Assignment happens before the page arrives.
EXPERIMENT CONFIG
│
▼
EDGE RUNTIME*
│
assign deterministic
variant
│
┌───────────────┴───────────────┐
▼ ▼
HTML / SSR Browser SDK
│ │
└──────────────┬────────────────┘
▼
EVENTS
│
▼
BIGQUERY
│
┌────────────┴────────────┐
▼ ▼
EXPERIMENT RESULTS YOUR OWN DATA
* Tenants deploy their own edge Worker; the platform
does not manage Cloudflare.Experiments can execute at the edge, server, or browser. Assignment is deterministic and exposure follows the user through the application. Behavioral data lands in your warehouse, where it can be combined with revenue, advertising, transaction, CRM or proprietary business data.
The data section
Your experiment data should live next to your business data.
Experiment events
+
GAM revenue
↓
+
GAM revenue
↓
Revenue / session
Experiment events
+
Affiliate payouts
↓
+
Affiliate payouts
↓
Value / visitor
Experiment events
+
CRM / transactions
↓
+
CRM / transactions
↓
Customer LTV
Optimize for the metric that actually runs your business, not whatever happens to be easiest for an analytics SDK to observe. This is an experimentation system built around your warehouse and economics.
Run more at once
One visitor. Several experiments. No collisions.
Visitor #8F39
Homepage heroTreatment B
Ad densityControl
CSS loadingTreatment A
Exit modalTreatment C
Offer rankingControl
Conflict rules
Hero headline
Hero redesignConflict
Ad densityIndependent
CSS loadingIndependent
Independent experiments run simultaneously. Explicit conflict rules on overlapping touches prevent incompatible tests from contaminating each other.
The business page
Experiment at traffic scale without analytics-scale bills.
| Monthly volume | Typical usage-priced analytics | pubGENIUS Experiments |
|---|---|---|
| 10M events | $$$ | $ |
| 100M events | $$$$ | $$ |
| 500M events | $$$$$ | $$ |
Fig. qualitative comparison, not competitor price quotes
Estimate your monthly event volume, then talk to us about infrastructure pricing that does not punish instrumentation.
Calculate your volume →Illustrative volume
Estimated monthly events100,000,000
Use this volume to compare against usage-priced analytics. We do not invent competitor dollar estimates here.
Who reads us
Built for teams with enough traffic to care.
Growth teams
Ship dozens of experiments without creating an experimentation mess.
Publishers
Experiment on engagement, advertising, affiliate revenue and session value.
Product companies
Test funnels, onboarding, pricing, features and user experiences.
Agencies
Operate experimentation programs across multiple client properties from shared infrastructure.
For developers
An experiment should look boring in code.
const variant = experiments.get("homepage-search");
if (variant === "treatment") {
return <SearchHomepage />;
}
return <DefaultHomepage />;
track("offer_click", {
experiment: "homepage-search",
variant,
});One assignment
Same assignment at edge, server and browser.
No flicker
Server-render the correct experience before HTML reaches the user.
First party
Events travel through your domain and infrastructure.
Open data
Query raw experiment events directly.
Results desk
From exposures to decisions.
Experiment #0042Example · Complete
Homepage search experience
ControlTreatmentSessions501,221498,779Offer CTR4.82%5.17%Pages/session2.412.57Est. session value$0.083$0.091
+9.6%
Estimated session value
Probability to win 98.7%
Recommendation
Ship Treatment.
Fig. 1: illustrative result panel, not live data
Need a newsroom?
The platform, or the team behind it.
Software
Platform
Your team runs experiments using our infrastructure: assignment, conflict rules, publish, and warehouse-native results.
Growth engineering
Managed Growth Engineering
We identify opportunities, design experiments, implement treatments, analyze results, and keep shipping winners.
Under the hood
Technical briefs.
Edge assignment
Deterministic assignment before rendering.
Server-side experiments
SSR without client-side flicker.
Multi-experiment enrollment
Orthogonal tests run concurrently.
Conflict detection
Explicit experiment collision rules.
Warehouse export
Raw events available in BigQuery.
Custom metrics
Measure anything expressible in your data.
Multi-tenant
Separate sites, environments and client properties.
First-party
No third-party analytics dependency required.
Your next hundred experiments shouldn't cost more than your first ten.
Build a culture of experimentation without building your instrumentation around someone else's event meter.