Skip to main contentAnalytics: Messages Sent
Use this chart to monitor how many messages you sent to different user groups over time.
Helpful for questions like
- How many messages are being sent everyday for each channel?
- What percentage of messages are benefiting from agentic learning?
- How many messages are being sent to New users vs Active users?
See how your messaging is helping drive user behavior across multiple dimensions from your success funnel as well filters by label and message groups over time.
Label Management: Label Overview
The label overview page provides insights into which labels are currently resonating with your users.
But it’s not enough just to know what’s performing well, we want to understand why.
- Click on any label to see all your alternates and how each one performs on a copy level.
- Identify top-performing and underperforming labels/alternates to understand user engagement. Explore variant effectiveness within each label to pinpoint successful messaging for higher engagement or conversions.
Label Management: Content Personalisation Map
Ensure you’re representing each offering with a healthy mix of value propositions that appeal to different user motivations. This ensures agents have a sufficiently diverse collection of messages to use.
Choose any two content components for the X and Y axes (e.g., greetings vs CTAs, incentives vs offerings) to fit the content strategy you’re reviewing.
Insights: Frequency Tracker
There’s no one-size-fits-all answer to how often users want to hear from you. Some users thrive with 5 messages a week, others churn at 2.
See the share of users receiving 1,2,3… messages per week over several weeks.
Insights: Message Scheduler
The Message Scheduler tracks how users engage with messages to identify their ideal send times. This dashboard shows how agents learn and adapt over time — eliminating guesswork by testing and adjusting delivery windows based on real performance.
The Live Messages View helps you track the performance of all your messages in real-time, letting you easily compare key metrics like CTR, conversion events, and engagement success.
- Identify which messages are driving the most revenue, clicks, and engagement.
- Monitor Freshness scores to avoid user fatigue and keep content dynamic.
Attribution and Click Counting
When analyzing message performance, Aampe follows specific rules of how clicks are attributed. Key points:
- Clicks are bucketed to the message send timestamp, not the actual click time.
- Only clicks occuring within 24 hours of the send are counted; any click after that window is excluded.
- If multiple messages could plausibly receive credit, Aampe shares or reduced attribution weight across them.
- Data may take up to 24 hours to fully settle, due to ingestion and processing lag.
