I would like to highlight some information that could make Iterable even better, which I discovered during my tenure with Iterable. For example, more out-of-the-box advanced analytics and attribution views would strengthen its appeal to users. Second, additional guided templates for complex lifecycle journeys would be beneficial to avoid overwhelming users with too much complexity or tactics. Lastly, continued investment in performance optimizations for large-scale workflows is essential. It is crucial to focus on mid to large organization scales and serious lifecycle marketing personalization for customer engagement. If these points are addressed, it could help many users like me and others look forward to a better platform. Iterable challenges I have faced include a steep learning curve for advanced use cases; basic campaigns are easy to launch, but advanced and personalized campaigns or event-based logic take considerable time, which is a challenge for new users. Another challenge is reporting and analytics at a deeper level; while the reporting is good, deeper analysis often necessitates exporting data or integrating with BI tools. Lastly, I have noticed that UI performance can lag with very complex journeys, especially in highly branched workflows, leading to a heavy interface that can slow down the loading times.
