A/B Testing ek experimental technique hai jo do versions (A aur B) ko compare karne ke liye use hoti hai, jisse yeh pata chalaya ja sake ki kaunsa version behtar perform karta hai. Ye marketing, web development, app design, aur product development mein bahut popular hai.
Is process mein, ek control group (Version A) aur ek variation group (Version B) banaya jata hai. Dono groups ko randomly select kiya jata hai taaki unbiased results milein. Phir, dono versions ko real users ke samne pesh kiya jata hai, aur unki performance (jaise ki click-through rate, conversion rate, signup rate, etc.) track ki jati hai.
Agar version B ki performance significantly behtar hoti hai, to usse adopt kiya jata hai. Agar nahi, to version A ko hi banaye rakha jata hai. A/B Testing se data-driven decisions liye ja sakte hain jisse user experience aur business outcomes improve hote hain.
Ek common example hai: agar ek e-commerce website ke “Buy Now” button ka color change karke dekha jaye (Red vs Green), to A/B testing se yeh samajh aayega ki kaunsa color zyada conversions la raha hai.
Yeh simple, effective aur measurable method hai decision-making ke liye.