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Маркетинг

AICAP

5 мая 2023 5.05.2023

Почему А/Б тесты не всегда работают

В последние годы А/Б-тестирование стало широко использоваться для проверки новых идей, аудитории и контента. Однако, А/Б может максимум показать какой контент лучше, основываясь на ряде показателей, но что если вы пытаетесь выбрать не ЛУЧШЕЕ из ЛУЧШИХ, а вместо этого тратите деньги на тесты, чтобы выбрать наилучшее из худших. И именно в этом заключается главный недостаток A/B-тестирования - оно не способно указать, есть ли у вашего контента какие-то фундаментальные проблемы. Представьте, что вы пытаетесь протестировать рекламу, в которой аудитория не поняла, против другой рекламы с теми же проблемами - A/B не укажет на это.

Поэтому в наших исследованиях мы сочетаем несколько инструментов, чтобы выяснить:

-Какой контент показал лучшие результаты.

-Почему он оказался лучше другого.

-Есть ли у него фундаментальные проблемы, которые необходимо исправить.

Подробнее о нашем проекте читайте на сайте

https://aicap.tech/

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