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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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Lead gen tactics for B2B: Best of the MarTechBot

Martech

Content marketing: Create high-quality, valuable content that addresses the pain points and interests of your target audience. Lookalike audiences can also be effective in finding new contacts similar to your existing customers. KPIs: Open rate: Measure the percentage of recipients who open your emails.

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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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CDP and customer experience: Best of the MarTechBot

Martech

Dynamic audiences: Implement real-time audience segmentation that adapts based on customer interactions, enabling timely and relevant messaging. Data-driven decision-making Analytics and Reporting: Leverage the analytics capabilities of the CDP to track campaign performance, customer engagement metrics, and conversion rates.

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Developing Machine Learning (ML) & AI Models in AdTech [+Examples]

Clearcode

Machine learning (ML) and artificial intelligence (AI) have become a cornerstone of modern AdTech, transforming how advertisers run key programmatic advertising processes, such as audience targeting, media planning, and campaign optimization. This phase culminates in selecting the best model and its configuration for full-scale training.

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AI can find your ideal customers, but only humans can build real relationships

Martech

By dividing the audience into distinct groups based on behaviors, preferences or demographics, businesses can tailor their communication and email cadences for more meaningful engagement. Timing: Send messages when the audience is most likely to engage, considering time zones and industry-specific events.

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The science behind high-performing calls to action

Martech

Design choices should meet accessibility standards to make your CTAs usable for all audiences. These approaches strengthen the relationship between your brand and your audience. A/B testing basics A/B testing allows you to determine what resonates most with your audience by testing one element at a time.