У нас вы можете посмотреть бесплатно How Noibu is preparing ecommerce for the agentic future или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
Ecommerce teams don’t struggle with clarity and making meaning of the vast amounts of data and metrics they record. In this episode, Tina (Product Manager) and Anna (UX Designer) at Noibu walk through the research that led to one of the company’s most significant strategic shifts: evolving from an error monitoring point solution into a conversion intelligence platform. Through extensive discovery across product, marketing, UX, merchandising, and executive leadership teams, a consistent pattern emerged. When revenue dips or conversion drops, the signal appears in one tool. The explanation lives in five others. Teams scramble across dashboards, screenshots pile up in Slack threads, and prioritization becomes guesswork. Tina explains that they shifted to a broader data strategy, one that captures behavioral signals, conversion impact, and business context instead of just technical failures. Anna shares how solving this problem required thinking in systems. The future vision is clear: fewer horizontal tools, fewer siloed dashboards, more vertical, opinionated systems designed specifically for ecommerce workflows. As budgets compress and agentic AI becomes more prevalent, fragmented systems of record become a liability. Noibu helps digital commerce leaders uncover missed revenue, fix silent errors, and resolve performance issues that impact the bottom line — without guesswork. Want to uncover hidden friction and convert more revenue? Click https://bit.ly/4bqZV2i book a demo of Noibu — the ecommerce monitoring and experience analytics platform Chapters: 02:00 – Tina and Anna’s backgrounds 05:00 – Why error monitoring wasn’t enough 09:58 – Data-rich, insight-poor ecommerce teams 12:41 – The moment the pivot became clear 14:42 – Building a system, not features 19:49 – The future of ecommerce tooling 24:35 – Trust, prioritization, and acting on insights