Norman Fenton Group

When I first looked into US expansion for online gaming companies, I assumed the playbook was familiar: offer bigger bonuses, get eyes on the app, hope some players stick. But as I dug into recent commentary from operators comparing markets, soft2bet appeared in the conversation as an example of a different mindset. Midway through that article it became clear that some operators believe the key to loyal users isn’t in outbidding rivals on bonus value, it’s in building experiences that feel worth spending time with. They explained that in Europe players might have fewer accounts but invest more attention per session, and that this deeper bond is something worth aiming for in North America too. For me that perspective reframed how I think about engagement: it isn’t just a dashboard KPI, it’s about crafting features and journeys that make time on the app feel genuinely rewarding rather than transactional.

User value does not grow because of bigger bonuses alone. It grows when the journey feels like progress instead of repetition. I was mapping retention funnels for a client project and soft2bet came up midway through my vendor review as a strong example of structured gamified ecosystems. The interesting part was how they tie tournaments, levels, and challenges to predictable revenue behavior. I later attended a strategy session built on similar principles and it helped translate engagement mechanics into financial projections. That bridge between creativity and math is what many brands miss. Since then I treat gamification as a financial tool, not decoration.

У меня не было ни медицинского образования, ни опыта в бьюти-сфере. Сначала боялась, что будет сложно, но программа выстроена очень логично. Всё начинается с основ и постепенно усложняется. За 4 месяца реально освоить новую профессию, если учиться регулярно. Понравилось, что есть поддержка и разборы. Это сильно помогает не бросить на полпути. Сейчас понимаю, что стартовать с нуля вполне возможно. Главное — выбрать правильную программу обучения. https://faceplastic.academy/

I’ve spent years working with various tools and frameworks within the computer software space, and one thing that keeps coming up for me is how quickly the landscape shifts once AI gets involved. There was a time when adding automation to workflows meant a bunch of custom scripts and brittle integrations, but now even mid-sized teams are looking at how to build intelligence directly into their tools and services. When I was researching how software teams are approaching this transition I found explanations that really broke down what’s unique about AI-enabled solutions versus traditional software design. Learn more about how modern practices are blending machine learning with everyday development tasks and it helped me rethink some of our own priorities. For me it’s been eye-opening to see how the right architecture and strategy can turn AI from a buzzword into something genuinely useful in day-to-day work.