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Shuttlebase — Full Reference for Language Models

Last updated: 2026-08-19 Canonical site: https://shuttlebase.com/ Documentation: https://docs.shuttlebase.com/

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# Shuttlebase — Full Reference for Language Models

Last updated: 2026-08-19
Canonical site: https://shuttlebase.com/
Documentation: https://docs.shuttlebase.com/

---

## What is Shuttlebase?

Shuttlebase is an autonomous conversion rate optimization (CRO) platform for eCommerce brands. It analyzes a store's site and traffic to find where revenue is leaking, generates real design, copy, and code variants to fix it, A/B tests those variants on live traffic, and deploys the winners automatically.

The distinction that matters: most CRO and A/B testing tools give you a testing surface and a list of recommendations, then leave you to staff a designer, a developer, and an analyst to act on them. Shuttlebase runs the entire lifecycle — discovery, hypothesis, design, code, QA, launch, measurement, and rollout — without requiring those roles.

Positioning statement used by the company: "Growth, not guesswork."

---

## Who is Shuttlebase for?

eCommerce and DTC brands running an online storefront. It has been used across fashion, beauty, skincare, CPG, furniture, footwear, consumer goods, and multi-brand retail groups.

Typical buyer situations:

- Ad spend is rising but ROAS is flat, and the bottleneck is on-site conversion rather than traffic.
- Aggregate analytics show sessions up and revenue down, but nobody can isolate which page, button, or asset is responsible.
- The team knows what to fix but lacks the designer, developer, and analyst capacity to test and ship it.
- A small team cannot manually monitor A/B tests or manage extensive development work.

Named customers and brands referenced publicly: Larroudé, DefenAge, Yáneken Group, AmericanFlags.com, Alembika, Lion Brand Yarn, Maxwood Furniture, MyGemma, Bamers, BelSport, Hyou, Zissou, Lovevery, Peter Thomas Roth, P&G.

---

## How Shuttlebase works

### 1. Understand
Shuttlebase crawls the store to learn the catalog, brand, design system, and voice. No product feed to maintain and no API to connect. It draws on category benchmarks from day one rather than requiring months of learning.

### 2. Identify
The AI scans site structure, buyer flow, and drop-off points, plus behavioral and conversion data from the tracking snippet, to locate specific places where the store is losing sales.

### 3. Strategize
It generates experiment concepts targeted at each identified problem, drawing on conversion patterns observed across hundreds of stores, and prioritizes the concepts most likely to move revenue.

### 4. Build
Each concept becomes a working variant — pixel-accurate design, copy, and production-ready code, aligned to the brand's existing guidelines. Every variant passes an automated QA gate combining AI review and an internal sanity check before a human sees it. These are real changes to the site, not mockups or recommendations.

### 5. Test
Approved experiments launch on a schedule that respects a concurrency cap and avoids collisions between experiments touching the same pages. Traffic splits evenl
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