A/B testing

Integrate A/B testing with Core dna to optimize content and boost conversion rates through seamless experiments and real-time analytics.

A/B Testing Integration with Core dna

Feature Overview

A/B testing is a powerful technique used in digital marketing to compare two versions of a webpage or app against each other to determine which one performs better. With the integration of A/B testing in Core dna, marketers can seamlessly execute experiments without needing external platforms, offering a streamlined experience for optimizing content and maximizing conversion rates.

How A/B Testing Works with Core dna

Within Core dna's platform, A/B testing involves setting up two or more versions of a web page or digital asset. Marketers can customize traffic distribution between these versions, and Core dna collects data on engagement, conversion rates, and other key performance metrics. A/B testing results are compiled in an intuitive dashboard, allowing marketers to make data-driven decisions in real-time.

Key Specifications

Feature Description
Experiment Types A/B, Multivariate Testing
Analysis Real-time Analytics Dashboard
Traffic Allocation Customizable Traffic Splitting
Integration Seamless Integration with Core dna CMS
Results Automatic Statistical Significance Calculation

Practical Use Case

Imagine a retail company using Core dna to manage their online store. They want to determine which product page design yields higher sales. Using A/B testing in Core dna, they set up two versions of a product page—one with a vibrant call-to-action button and another with a more subdued design. Over the course of a few weeks, traffic is split between the two versions. Core dna’s analytics dashboard shows that the vibrant button design generates 25% more sales. Consequently, the marketing team applies this design across other product pages, boosting overall sales performance.

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