> ## Documentation Index
> Fetch the complete documentation index at: https://docs.chartcastr.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Engagement stats
> See who engages with your Chartcastr pulses, which emoji reactions they use, and when your audience is most active. Identify top viewers and trends.
The Engagement tab is available on Starter plans and above.
The Engagement tab helps you understand the human side of your pulses — who's reading them, how they're reacting, and when engagement peaks.
## Engagement Trend
A dual-axis chart tracking engagement over time:
* **Reaction count** (solid line) — the raw number of reactions per day
* **Engagement rate** (dashed line) — the percentage of delivered pulses that received reactions that day
**What to look for:**
* An upward trend in either line means your pulses are resonating more over time.
* Spikes often correlate with significant data changes — when a metric moves, people react.
* If reaction count grows but rate stays flat, you're sending more pulses (volume effect).
* If rate grows but count stays flat, fewer pulses are generating more engagement (quality effect — the better signal).
## Reaction Breakdown
A donut chart showing the distribution of reaction types across your pulses.
Reactions include:
* **Emoji reactions** — Slack emoji reactions (including custom workspace emojis)
* **Thumbs** — Thumbs up / thumbs down
* **Comments** — Text responses on the pulse
The top 8 reaction types are shown individually, with the rest grouped as "Other."
**What to look for:**
* Variety suggests genuine engagement rather than habitual clicking.
* Consistent thumbs-down on certain connections may mean the content needs refinement.
* Comments are the highest-signal engagement — someone took time to respond with words.
## Top Engagers
A leaderboard of the people who interact most with your pulses. For each person:
* **Reactions** — total in the period
* **Questions asked** — thread conversations they started
* **Last active** — when they last engaged
Starter plans show the top 3. Pro plans show the full top 10.
**What to look for:**
* If engagement is concentrated in one or two people, consider whether the right audience is seeing your pulses.
* People who ask questions are your most engaged users — they're actively using pulses for decisions.
* If a previously active person drops off, the data may no longer be relevant to them.
## Most Engaged Connections
A ranked list of your source-to-destination connections by feedback count, showing which data pipelines generate the most audience interaction.
**What to look for:**
* High-engagement connections are your most valuable — keep them healthy.
* Low-engagement connections might be going to the wrong channel, at the wrong time, or with data that doesn't prompt action.
* Use this to prioritise which connections to optimise first.
## Thread Conversations
A summary of pulse-driven conversations:
| Metric | Meaning |
| ----------------------------- | ----------------------------------------------------------------- |
| **Total Questions Asked** | Thread conversations started from pulses |
| **AI Response Rate** | Percentage of questions that received an AI response |
| **Avg per Pulse** | Average thread conversations per pulse (among those with threads) |
| **Pulse → Thread Conversion** | Percentage of delivered pulses that generated at least one thread |
**What to look for:**
* Thread conversion shows how often your pulses provoke questions — higher means thought-provoking data.
* AI response rate should be high. If it's dropping, something may need attention.
* Growing questions over time means your team is building a habit of interrogating their data.
## Best Time to Send
A heatmap grid showing engagement rates by day of week and hour of day.
* **X-axis**: Hours from 6am to 10pm
* **Y-axis**: Days of the week
* **Cell colour**: Darker = higher engagement rate at that time
Hover over any cell to see the exact engagement rate and sample size.
**What to look for:**
* Darker cells are your peak engagement windows — schedule your most important pulses there.
* Low sample sizes (few pulses sent at that time) mean the data isn't yet reliable for that cell.
* Patterns often emerge around team routines: morning standups, post-lunch reviews, end-of-week check-ins.
The heatmap becomes more useful as your pulse history grows. If most cells are empty, give it time.
## Next Steps
Check your delivery fundamentals.
Review the four key metrics.