How long does it take to get started?

Now. We begin immediately with your current stack and launch in phases without forcing a platform migration.

Do we need to leave Shopify, WooCommerce, or our current platform?

No. We layer growth infrastructure beside your existing stack and expand from there.

What does success look like?

A measurable increase in owned demand, conversion performance, and execution speed. Planning estimates for the first 90 days often target +15% to +35% qualified traffic, +8% to +22% conversion rate lift, and +12% to +30% revenue per visitor, based on baseline and channel mix.

Who is this best for?

Owners and operators who want more control, more launch velocity, and less dependency on rented traffic.

Ecommerce A/B Testing System

Turn experimentation into a governed weekly production pipeline.

High-performing teams do not rely on occasional tests. They run a repeatable pipeline with clear intake rules, delivery standards, and decision gates so conversion improvements accumulate rather than reset every quarter.

Schedule a Demo See How It Works

Demo objective: map your current experimentation bottlenecks and design a weekly pipeline with decision ownership.

Flow is intentional: each stage receives clear inputs and produces decision-ready outputs before the next run begins.

Pipeline Stages

How we convert test ideas into production improvements

Stage 1

Intake and Prioritization

Rank test candidates by expected commercial impact, confidence, and delivery cost.

Approved test brief

Stage 2

Variant Production

Build offer, page, or checkout variants with instrumentation and QA criteria before launch.

Release-ready variants

Stage 3

Controlled Live Run

Route traffic safely with sample-quality checks and predefined stop conditions.

Valid experiment window

Stage 4

Decision Gate

Evaluate conversion lift, revenue effect, and guardrail metrics against approval thresholds.

Promote, iterate, or retire

Stage 5

Baseline Promotion

Promote winners and document reusable learnings for the next cycle.

Compounding conversion gains

Experiment Coverage Matrix

What we test by surface and what defines a win

Experiment surfaces, test types, and primary success signals
Surface	Typical Tests	Primary Signal
Offer Stack	Price ladder, bundles, guarantees, urgency framing	Conversion rate and average order value
Landing Experience	Hero message, proof sequence, CTA architecture	Qualified click depth and assisted conversion
Checkout	Trust prompts, field compression, payment order	Checkout completion and abandonment reduction
Retention Flow	Post-purchase triggers, winback timing, incentives	Repeat purchase rate and LTV trend

Weekly Sprint Cadence

Operating schedule for sustained test velocity

Monday

Prioritize

Review prior results and lock weekly hypotheses.
Tuesday

Build

Implement variants and verify tracking integrity.
Wednesday

QA and Release

Apply launch guardrails and activate controlled traffic splits.
Thursday

Monitor

Track sample validity, impact direction, and risk signals.
Friday

Decide

Publish verdicts and assign follow-up actions.