Glossary

Key terms used throughout Dalton and this documentation.

A

A/B Test

A method of comparing two versions (A and B) of a page to see which performs better. Dalton uses a more advanced approach called multi-armed bandits, but the goal is similar.

B

Baseline

Your original page without any Dalton modifications. By default, Dalton keeps 20% of traffic on the baseline to measure experiment performance against. This split is adjustable in settings.

Brand Context

Settings where you define your brand voice, restricted words, and compliance requirements. The AI uses these when generating suggestions.

C

Certainty

A percentage (0-100%) indicating how confident Dalton is that a variant performs differently from the baseline. Look for 95%+ certainty before making decisions.

Conversion

When a visitor completes a desired action (purchase, signup, form submission, click). This is what Dalton optimizes for.

Conversion Goal

The specific action you want visitors to take. Set this in the experiment settings so Dalton knows what to optimize.

Conversion Rate

The percentage of visitors who complete your conversion goal. Calculated as: (conversions / visitors) x 100.

E

Experiment

A test running on your page with one or more variants. Dalton automatically distributes traffic and measures results.

H

High Performer

A variant that has reached statistical significance and is outperforming the baseline. Shown with a green indicator in the dashboard.

M

Multi-Armed Bandit

The algorithm Dalton uses to optimize experiments. Unlike traditional A/B tests that split traffic 50/50, bandits automatically shift traffic toward winning variants while still exploring alternatives. See How the Algorithm Works.

Multi-Page Experiment

An experiment that runs across multiple URLs simultaneously. Changes apply to all pages in the experiment.

P

Prompt

Instructions you give the AI to generate or modify content. Better prompts lead to better results. See Prompting Best Practices.

S

Statistical Significance

The point at which results are unlikely to be due to random chance. Dalton shows this as "certainty" percentage. 95%+ is generally considered significant.

T

Traffic Allocation

How Dalton distributes visitors between your baseline and variants. The algorithm automatically adjusts this based on performance.

U

URL Split Test

A test comparing completely different page URLs rather than element-level changes. Used for major redesigns or testing features Dalton can't modify directly.

V

Variant

A modified version of your page being tested against the baseline. Each experiment can have multiple variants.

Visitor

A unique person viewing your page. Dalton tracks visitors (not page views) to ensure accurate experiment data.