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4 Ways Marketing Automation Takes the Uncertainty Out of A/B Testing

Marketing Insider Group

Now, thanks to digital technology, they often resort to A/B testing to compare two or more variants against one another and see which works best. However, one of the most limiting aspects of traditional A/B testing is the fact that only a small number of variants can be tested against each other at any given time. Here’s how: 1.

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Upleveling A/B Testing with AI for Conversion Optimization

FunnelEnvy

The challenge in our digital age is that traditional A/B testing methods are slow, resource-intensive, and miss hidden opportunities. Click To Tweet Since the early days of digital marketing, one common way to improve on-page conversions has been A/B testing. What is A/B Testing? Limited scope. Static and short-sighted.

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How AI Improves A/B Testing

FunnelEnvy

Today’s marketers rely on A/B testing of digital advertising assets. A/B testing is powerful because it gives marketers unbiased data from real customers, not survey panels. Read on for an overview of how AI is revolutionizing A/B testing, making it faster, eliminating more guesswork, and ultimately improving results.

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Predictive Analytics: Leveraging AI for Data-Driven Marketing

Navigate the Channel

Predictive analytics, powered by artificial intelligence (AI), has emerged as the deal-changer in the field of marketing that will help companies acquire that edge. By leveraging predictive analytics, you can make informed decisions, optimize your marketing strategies and enhance your customers’ experiences.

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How to use AI to discover the causes behind customer actions

Martech

One way to find out is using AI to analyze more data from the entire customer journey, instead of depending on limited results from specific A/B tests. Read next: Marketing analytics: What it is and why marketers should care. Avoiding correlations to discover real causes. Limits to A/B testing. Causes matter.

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6 Questions That Heatmap Analytics Can Answer About Your Website

Circle Studio

Your website analytics are essential to understanding how your site is performing, and user experience is a crucial part of that. While your performance analytics will give you a lot of the “what,” heatmaps can help answer the “why,” helping you drill down into improving user experience.

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What is Revenue Tracking in A/B Testing? 6 Mistakes While Tracking Revenue + How to Avoid Them

Convert

In this article, we’re going to see what revenue tracking in A/B testing entails, how to set up revenue tracking in your A/B testing tool, and how to avoid making costly mistakes. Learn how to use Google Analytics ecommerce revenue tracking, set up manual revenue tracking, or use Webhooks in your Shopify store.