What are the crucial parameters to consider when setting up an A/B testing strategy to determine the impact of different product listing titles on Temu?

Crucial parameters include identifying a specific, measurable difference between the title variations, ensuring a sufficient sample size for statistical significance, and controlling for external factors that could skew results. First, define the hypothesis: for example, 'A title including the word 'premium' will increase click-through rate'. Then, create two titles that are identical except for the inclusion of 'premium' in one (A vs. B). Sample size is critical; run the test long enough to gather enough data (impressions and clicks) to achieve statistical significance, meaning the observed difference isn't due to random chance. Tools for calculating sample size are crucial. Control variables by running the A/B test simultaneously and targeting the same audience segments to minimize the impact of seasonality, promotional events, or algorithm changes. Failing to control these variables can lead to inaccurate conclusions about the title's effectiveness. Finally, track and compare the click-through rate (CTR) and conversion rate of each title to determine the winner based on statistically significant data.