In a recent LinkedIn post, Mariam Gogidze offers a critical perspective on how businesses and individuals approach their social media analytics, particularly on LinkedIn. She argues that simply posting content without a deep dive into the data is akin to “flying blind,” leading to inefficient strategies and missed opportunities.
Gogidze emphasizes that LinkedIn’s native analytics provide a surface-level view of performance, detailing what happened but failing to explain the underlying reasons why. She advocates for a more sophisticated approach to metrics, moving beyond vanity numbers like raw impressions.
“If you’re posting consistently but not analysing your data, you’re flying blind.”
The Limitations of Basic LinkedIn Analytics
Gogidze highlights several key areas where standard analytics fall short. She points out that focusing solely on total impressions for a single post misses the bigger picture of strategic effectiveness. Instead, she proposes tracking metrics that reveal trends and long-term performance.
Tracking Progression Over Time
According to Mariam Gogidze, valuable metrics include average impressions per week, week-over-week growth patterns, and cumulative performance over quarters. This approach helps determine if the overall content strategy is succeeding rather than just celebrating isolated viral hits.
Contextualizing Content Performance
Furthermore, Gogidze argues that a simple ranked list of best-performing content is insufficient. “You need impressions AND engagement side by side,” she states, explaining that high reach does not always equate to high engagement. This distinction is crucial for understanding what builds audience versus what builds relationships, allowing for more targeted optimization efforts.
“High reach ≠ high engagement always.”
Uncovering the ‘Why’ Behind Performance
Gogidze delves into the importance of analyzing specific data points to inform future content decisions. She stresses the need to identify which topics genuinely resonate with an audience, based on data, rather than assumptions.
Theme and Format Analysis
As Mariam Gogidze notes, analyzing main themes helps identify what content pillars should be expanded and which should be retired. Similarly, understanding performance by day and time, and by content format, is essential. She dismisses generic advice on posting times, asserting that “Your data = your competitive advantage.” This personalized insight allows for tailored strategies that align with specific audience behaviors and industry nuances.
“Generic advice = generic results.”
Leveraging Advanced Tools
In her post, Gogidze also shares her experience using a tool called MagicPost, which she has been testing for 60 days. She finds its metrics feature particularly valuable for tracking weekly progression, theme performance, posting schedules tailored to her audience, and the return on investment for different content formats (reach vs. engagement vs. direct messages). She recommends it for its ability to provide a consolidated view of these crucial analytics.
“Your analytics should inform your next 30 days. Not just validate your last post.”
Ultimately, Mariam Gogidze’s insights underscore the necessity of a data-informed approach to content strategy on LinkedIn. By moving beyond surface-level metrics and digging into the ‘why’ behind performance, creators can develop more effective, targeted, and successful strategies.
📝 About This Content
This article is based on insights shared by Mariam Gogidze on LinkedIn.
📅 Originally posted on March 17, 2026 | View original post on LinkedIn →