Background Pain Points
Most enterprises face the problem of dispersed data from different platforms and time-consuming manual collation, making it difficult to quickly obtain actionable optimization recommendations.
Wepost's Integration Program
- Unified Kanban function: Automatically aggregates key metrics (including comparison charts) from FB/INS/TikTok and other platforms on the "Analytics" page, with a focus on "best time to publish" and "content type preference" data.
- Intelligent Diagnostic Tools: When the interaction rate is lower than the industry benchmark, the system will red-flag the anomalies and correlate them with possible causes (e.g., "Headline sentiment value is low - suggest adding questionable sentences").
- Competitive benchmarking analysis: After manually adding 3-5 competitor accounts, a content strategy difference report can be generated (including posting frequency/topic distribution/interaction hotspot comparison)
Practice Tips
Setting up weekly automated reports: Check "Weekly Performance Summary" in the platform's "Notification Settings", and the system will push out emails containing CTR enhancement suggestions on time, focusing on the common characteristics of the "Top 25% Premium Content" (e.g., containing specific hashtags or emojis)
This answer comes from the articleWepost: an AI platform that simplifies social media content creation and managementThe
May not be reproduced without permission:AI productivity tools " How to improve the efficiency of data analysis of cross-platform social media content?
