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How to Minimize A/B Test Validity Threats

ConversionXL

You have an A/B testing tool, a well-researched hypothesis and a winning test with 95% confidence. There are factors threatening the validity of your test, without you even realizing it. Quite simply, validity threats are the factors that threaten the validity of your A/B test results. Not so fast.

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Say Goodbye to Blast Emails – How AI Helps Your Personalized Email Marketing

Salesforce

Why “batch and blast” email marketing doesn’t work anymore How generative AI helps with personalized email marketing 5 strategies to build personalized email marketing campaigns How Salesforce Marketing Cloud helps with personalized email marketing What is personalized email marketing? Einstein Recommendations.

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How to Build a Strong A/B Testing Plan That Gets Results

ConversionXL

A strong A/B testing plan will allow you to increase your revenue. A/B testing produces concrete evidence of what actually works in your marketing. This post is about A/B testing, since this technique produces the fastest gains and has lower chances of error through misuse.

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Top 27 Small Business Tools to Boost Productivity

Salesforce

Look for tools that can integrate seamlessly with other programs you frequently use such as email, CRM software, accounting, and e-commerce platforms. Chamber of Commerce. These tools can also help build your customer base by creating targeted marketing campaigns and managing your company’s social media presence.

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5 Uncomfortable A/B Testing Questions

ConversionXL

Better to find C which beats both A and B! A while ago I was working on a major CRO project for a large e-commerce client. Without informing me, the client had run a banner campaign that generated over 30,000 new visitors in a few weeks and – get this – zero conversions (yep that’s right a campaign conversion rate of 0%).

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Sample Pollution: The A/B Testing Problem You Don’t Know You Have

ConversionXL

Returning visitors to an e-commerce site stay for an average of 3 minutes longer than new visitors. For example, let’s say you run a simple A/B test from Tuesday to Thursday. On Wednesday, your Director of Marketing switched on a Facebook ad campaign. As you know, time is a major factor when it comes to testing.

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Best Practices to Establish a Single Source of Truth (SSOT) for A/B Testing

ConversionXL

And you can’t trust the outcomes of your tests if you don’t know you’re looking at accurate metrics. That’s why you need to build your testing program around a Single Source of Truth (SSOT) dataset. If you can’t, even the simplest A/B test will lack value. What is A/B testing. Let’s consider an example.