How to determine test duration and budget
Posted: Wed Jan 29, 2025 10:25 am
Companies with useful, specialized data will benefit most from AI. It’s true that some of this space is dominated by highly valued tech giants like Google owner Alphabet and Amazon. But AI technologies with specialized data will also be of interest to banks, utilities, health care providers, retailers, and businesses in other areas.
Despite the interconnectedness of attributes such as data, algorithms, and computing power, analysts are inclined to believe that the real value of the AI revolution will not lie in data centers, but in the data sets themselves. How to Get Statistically Valid Data in A/B Testing. Furniture Brand Case Study
July 11, 2024
0
3678
Head of the paid traffic group Lazurit furniture Sergey Poplanov talks about a competent approach to experiments and a pool of tools for A/B testing of external creatives.
A/B testing has become an integral part of smart advertising campaign strategies, allowing you to make informed decisions based on data. When launching a performance campaign, it is important to conduct experiments at all stages of the sales funnel, including testing external creatives.
While researching the online advertising market, we noticed that most competitors in the e-com segment use product images on a white background in their creatives. In Lazurit, furniture is shown against the background of the interior. We decided to test a new approach, taking as a basis the hypothesis that creatives with a white background would increase CTR by 40%. Based on our experience, the +40% figure seemed the most realistic.
The question of how long to test a hypothesis pastors in the us email database is one of the most important when conducting an experiment. The answer depends on:
audience size;
level of variability of metrics;
desired statistical significance;
company resources.
Typically, to obtain statistically reliable data, it is recommended to conduct testing for at least 7 days to account for seasonality, daily and weekly cycles of audience activity.
We had the task of obtaining statistically valid data, so it was necessary to determine the sample size as accurately as possible. For this, we used Evan Miller's calculator:
Despite the interconnectedness of attributes such as data, algorithms, and computing power, analysts are inclined to believe that the real value of the AI revolution will not lie in data centers, but in the data sets themselves. How to Get Statistically Valid Data in A/B Testing. Furniture Brand Case Study
July 11, 2024
0
3678
Head of the paid traffic group Lazurit furniture Sergey Poplanov talks about a competent approach to experiments and a pool of tools for A/B testing of external creatives.
A/B testing has become an integral part of smart advertising campaign strategies, allowing you to make informed decisions based on data. When launching a performance campaign, it is important to conduct experiments at all stages of the sales funnel, including testing external creatives.
While researching the online advertising market, we noticed that most competitors in the e-com segment use product images on a white background in their creatives. In Lazurit, furniture is shown against the background of the interior. We decided to test a new approach, taking as a basis the hypothesis that creatives with a white background would increase CTR by 40%. Based on our experience, the +40% figure seemed the most realistic.
The question of how long to test a hypothesis pastors in the us email database is one of the most important when conducting an experiment. The answer depends on:
audience size;
level of variability of metrics;
desired statistical significance;
company resources.
Typically, to obtain statistically reliable data, it is recommended to conduct testing for at least 7 days to account for seasonality, daily and weekly cycles of audience activity.
We had the task of obtaining statistically valid data, so it was necessary to determine the sample size as accurately as possible. For this, we used Evan Miller's calculator: