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How cognitive biases influence email A/B tests

Martech

Learning to recognize and avoid these biases will help you run more reliable, data-driven testing and generate insights you can use to create more engaging and effective email messages and a stronger program overall. How bias affects A/B testing A/B testing is a key part of your email marketing program. Processing.

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Measuring marketing incrementality: Best of the MarTechBot

Martech

A/B testing (split testing): This is one of the most straightforward and effective methods for measuring incrementality. Multi-touch attribution (MTA): While not as precise as A/B testing, MTA models can help allocate credit to various marketing channels based on their contribution to conversions.

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

Salesforce

Low Engagement: Generic emails often result in lower open and click-through rates because they fail to grab the recipient’s attention & interest. Increased Unsubscribes: Irrelevant messaging can frustrate recipients, leading to higher unsubscribe rates. Test and refine your email strategy.

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CDP and customer experience: Best of the MarTechBot

Martech

Data-driven decision-making Analytics and Reporting: Leverage the analytics capabilities of the CDP to track campaign performance, customer engagement metrics, and conversion rates. A/B testing: Use the CDP to conduct A/B tests on different marketing approaches, allowing for data-driven adjustments that enhance effectiveness.

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Lead gen tactics for B2B: Best of the MarTechBot

Martech

How to achieve: Promote your content on social media and through email newsletters. KPIs: Open rate: Measure the percentage of recipients who open your emails. Click-through rate (CTR): Track how many people click on links in your emails. Canva: For designing graphics and infographics.

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Digital marketing primer: Understanding strategies and measuring success

Search Engine Land

Click-through rate (CTR): The percentage of users who click on your search engine listing compared to the number of times it’s shown. Bounce rate: The percentage of visitors who leave your site after viewing only one page. Conversion rate: The percentage of content readers who convert into leads or customers.

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4 Basic A/B Testing Tips for Beginners

Hubspot

If your business is at a standstill for improving open and click-through rates, it’s time you start making changes in your email and landing pages. A/B testing is the answer for optimizing your email marketing and landing page performance. For those of you unfamiliar with A/B testing, it works just as it sounds.