Single-post analytics answer the wrong question. Knowing that one post did well tells you almost nothing about what to publish next - was it the topic, the format, the day, or just luck? The useful question is which themes, ranked across many posts, consistently earn attention. That is topic-level analysis, and most LinkedIn analytics tools stop at the post level and never get there.
Post Analytics in SparkVox has four tabs. What's Working is where strategy lives. It ranks the topics Sparky assigned during project generation - customer discovery, pricing, team culture, not post format labels - and scores how each theme performed on the metric you choose. Used well, it answers what to post more of next month, not just what got impressions last week. See the direct answer for a quick read or keep going below for the full workflow.
What topic rankings actually show
During processing, Sparky tags each draft with a short topic label from the source material. After you publish directly to LinkedIn through SparkVox, analytics sync attaches impressions, profile views, engagement, clicks, and more to those posts. What's Working rolls posts up by topic and ranks themes for the date range you select - preset windows (7d, 30d, 90d, Lifetime) on every paid plan, or a custom from/to range on Accelerate and Scale - with the same range as Posting Impact.
Use the channel filter when you publish to both personal profile and company pages. Personal thought leadership and company proof should not share one blended ranking.
Funnel stage scoring on the same tab
Every draft carries an awareness, authority, or conversion label from your project's LinkedIn content strategy. What's Working scores each stage on its native metric:
- Awareness - reach: are enough people seeing your posts?
- Authority - engagement: are viewers reacting and commenting?
- Conversion - clicks: are posts driving profile visits or link clicks?
Sparky compares stage averages and surfaces a recommendation - for example, shift toward more authority posts when engagement lags behind reach. That connects directly to funnel-stage content structure.
How to read a typical What's Working session
Open Post Analytics, pick your channel, set 30d, and scan topic rankings on profile views if you care about personal pipeline. Note which themes cluster at the top. Switch the metric to engagement rate if comments feel weak. Check funnel scores - if awareness is green and authority is red, your next project should approve more trust-building drafts, not more reach posts.
Timing coaching on the same tab shows weekday and hour patterns from your publish history. Pair topic winners with time patterns when you schedule - see pre-fill vs timing coaching.
Common mistakes
- Ranking all channels together when personal and company posts serve different jobs.
- Optimizing on one viral post instead of four-week patterns.
- Ignoring funnel balance because a conversion post got high impressions once.
- Expecting topic labels before you have direct publishes syncing analytics.
Closing the loop
Top-performing direct publishes can feed future project generation - SparkVox uses your best posts when drafting the next batch. What's Working is the human-readable view of that signal. Read more in how Post Analytics feeds your next drafts. For channel-specific interpretation, see company page vs personal analytics.