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Top Reasons Why a B2B DSP is Better Than a B2C DSP

DemandBase

If you’re committed to true end-to-end ABM execution, consider separating your programmatic ad spend from your more brand-oriented programs. B2B DSPs provide more visibility into ad performance. With B2C DSPs, you aren’t able to identify if you’ve delivered the ads to your target accounts.

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What is Post-Segmentation in A/B Testing? And 5 Tips for Using Advanced Post-Segmentation to Get More Out of Your Experiment Reports

Convert

If the experience was designed with a specific segment in mind, the sample size and thus statistical significance are usually sufficient to allow a decision. On the other hand, if you discover some patterns through slicing and dicing random segments, it is critical to ensure that a sufficient sample size is available. Let’s find out!

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From Shared Databases to Communities of Practice: A Taxonomy of Collaboratories

Buzz Marketing for Technology

Dataset and Sampling Methods. First, scientific knowledge is difficult to aggregate. The culture of independence benefits science in many ways, but it also makes it more difficult to aggregate scientists labors. Dataset and Sampling Methods. School of Information. University of Michigan. Introduction. Conclusions.

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Which Format Is Right for Your Next Blog Post?

Hubspot

I've written thought leadership posts that could also probably be classified as list posts. And if I'd added a SlideShare to them? But when done right, lists posts are great for posts that seek to aggregate tips, tactics, or ideas under a certain topic, and they can result in high-quality content. They would've straddled three!

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Meta-Analysis in Online Controlled Experiments: An Unbiased Look at the Power and Limitations of This Scientific Method

Convert

DISCLAIMER : We are not penning this blog with the intent of panning or lauding meta-analysis & conversion patterns. That’s why we’re inclined to believe that we can take what we’ve learned from experiments, aggregate them, and deduce a pattern. Measure the value they added to decision-making.