Testing tools are getting more sophisticated. Blogs are brimming with “inspiring” case studies. Experimentation is becoming more and more common for marketers. Statistical know-how, however, lags behind.
This post is filled with clear explanations of A/B testing statistics from top CRO experts. A/B testing statistics aren’t that complicated—but they are that essential to running tests correctly.
Here’s what we’ll cover (feel free to jump ahead):
- Mean, variance, and sampling;
- Statistical significance;
- Statistical power;
- Confidence intervals and margin of errors;
- Regression to the mean;
- Confounding variables and external factors.
And just in case you’re uncertain about why A/B testing statistics are so essential…Keep reading »
What kind of content should you have on your site? How should you structure the menu? What should be the first-level menu items? One or two menus? What should the menu links be called? This post gives you answers.Keep reading »
A 1,983% boost in annual revenue and 1,000% user-base growth within six months, all with no upfront costs. Can this be true? These are actual results that startup Ringadoc got from their partner program.
In today’s environment, if B2B organizations are going to make it, they need to grow sales. Partnerships can be a big help.Keep reading »
I remember the first time that a client told me how much analytics had helped their business.
They were able to increase their sign up rate for their product by 22% while reducing their marketing costs. It wasn’t magic or fancy tactics. They simply used their analytics data to make informed decisions.
They didn’t have to guess or take huge bets. They knew exactly what was working and what they needed to do more of.
This is power of analytics and more specifically, product analytics.
Agile marketing may not be a phrase you hear often, but it’s becoming increasingly popular and important.
Traditionally associated with development and product management, agile is a lightweight and, well, agile framework for software development and bringing features and products to market.
It stands in opposition to “waterfall” production methods that treat analysis, design, coding, and testing as discrete phases – where in agile they are treated as continuous.
As marketing becomes more data-driven, quantitative, and iterative, we can use many of these same management practices to hone our marketing campaigns, mitigate risk, and ultimately ship more effective marketing campaigns.