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Before you begin

Overview

Insights is the analytics hub for AI Decisioning. It shows you not only how your agents perform, but also why, so you can make data-informed creative and scheduling decisions. User breakdowns showing conversion rate by age group Use Insights:
  • After launching an agent to track performance in real time
  • During optimization to identify top-performing segments or messages
  • Before making changes to content or targeting
  • For reviews and reporting to measure lift and summarize learnings for stakeholders
Hightouch automatically prioritizes the most relevant charts so you can focus on the trends that matter most.
In the Hightouch app, go to AI Decisioning > Insights

Insights views

Each view highlights a different aspect of campaign performance.

Explore each view

1. Summary

Get an at-a-glance view of your agent’s overall performance and top insights. Summary view showing key campaign patterns and takeaways The Summary includes:
  • Performance highlights showing top-performing creative and audience signals
  • Patterns marketers should know, based on behavior and conversion data
  • Creative examples that illustrate what’s driving performance
Use this view to guide weekly reviews or summarize campaign results for your team. The Summary appears once the agent has a scheduled report.

Recommendations

The Recommendations view surfaces AI-generated suggestions for improving your content mix, based on how your messages and variants are performing. Suggestions are grouped into categories such as expanding proven winners, filling coverage gaps, refreshing fatiguing content, and retiring underperformers. Review each recommendation and decide whether to act on it. Hightouch doesn’t change your messages automatically.

2. Creative Performance

Compare all message variants side by side across your key performance metrics. Creative performance table comparing message performance
Sort the table by your main goal (for example, Second purchase) to identify which creative has the strongest impact.

3. User Breakdowns

Understand which user segments are driving conversions and which are underperforming. Breakdowns include attributes like age, region, loyalty tier, and device type. User breakdowns showing conversion rate by age group
Charts are sorted automatically by AI to surface the most relevant differences first.

4. Personalization Insights

Discover which creative elements perform best for specific user segments. This view helps you understand how audience attributes and creative choices interact to drive conversions. Personalization dimension dropdowns At the top of the view, select:
  • An Outcome name to define what success looks like (for example, Second purchase)
  • Creative dimensions to compare what performs best (such as subject lines, incentive types, or tags)
  • User dimensions to compare who it performs best for (such as age buckets, loyalty tiers, or device types)
Insights are automatically sorted to surface the most meaningful performance differences for the selected configuration.
Use personalization insights to inform message tags, variant strategy, and audience splits in the Messages tab in Agents.

5. Timing

Analyze when users are most likely to convert or engage, visualized as a heatmap by day and time of day. Timing heatmap showing conversion rate by day and time
Use Timing results to refine Scheduling and quiet hours for your agent.

6. Personalization Matrix

The Personalization Matrix displays a heatmap of conversion rates across user segments and creative options, highlighting where personalization has the most impact. Personalization Matrix heatmap showing conversion rates by incentive type and age bucket At the top of the view, select:
  • Outcome name: The goal to measure (for example, Purchases)
  • Creative dimension: The creative variable to compare (for example, Incentive Type)
  • User dimension: The user attribute to segment by (for example, Age Bucket)
The heatmap shows conversion rates at each intersection, colored by intensity. Toggle between Conversion rates and Interaction effects to see raw performance or the incremental impact of personalization.
Use the Personalization Matrix to identify which creative-audience combinations to prioritize, and feed those insights back into your variant strategy and tags.

7. Send success

Send event tracking must be enabled by Hightouch. to turn it on.
The Send success view shows whether your channels are successfully delivering messages. It displays each channel connected to the agent, its configuration status, and message-level match rates between recommendations and confirmed sends. Send success view showing channel delivery status
All send data on this page comes from the send event table configured in your schema. If that table is incomplete — for example, missing your AID campaigns or not kept up to date — match rates and send counts will appear lower than expected. Always verify your send event table is correctly defined before drawing conclusions from these charts.
A channel configuration card at the top of the page shows how each enabled channel is set up — its destination, send event model, and campaign ID column. If a channel is missing a send event or campaign ID column, a warning icon appears next to it. These are the most common reasons match rate looks low or attribution is incomplete. The Match rate by message grid at the bottom of the page is interactive. You can filter by channel type, sort by value to find best- or worst-performing messages, click a message name to open it directly in Hightouch, or download a CSV for offline analysis. Each chart on the page displays its numerator and denominator (for example, “Matched sends / Recommendations”) underneath the title. Hover any data point to see the absolute counts behind the ratio.
Send success tracking requires send events to be linked to your channels. See Send event tracking for setup instructions. Without this, send success and send comparison data will not populate.

8. Send comparison

Send event tracking must be enabled by Hightouch. to turn it on.
The Send comparison view lets you compare send patterns between treatment and customer-managed groups. Use it to confirm the experiment is shifting volume where it should and to spot channel- or timing-level differences. Send comparison includes charts for weekly sends per user broken down by experiment group and channel type, by experiment group and campaign group (this agent, other agents, and customer managed), and heatmaps of send count by time of day and day of week. Each heatmap cell shows its share of the group’s total so you can spot whether AI Decisioning is shifting send timing.
Like Send success, the Send comparison view requires send events to be configured on your channels. See Send event tracking for setup instructions.

Apply insights to improve performance

Once you’ve reviewed your results, use them to guide your next optimization cycle.
Combine insights from User breakdowns, Creative performance, Timing, and the Personalization Matrix to identify your most impactful opportunities.

Example weekly optimization checklist

✔️ Review Summary for top and bottom performers
✔️ Check unsubscribe and fatigue signals in Creative performance
✔️ Compare lift vs. holdout for each goal or segment
✔️ Identify 1–2 test ideas (e.g., new variant or timing window)
✔️ Check Send success to confirm channels are delivering correctly
✔️ Review Send comparison to verify experiment groups are shifting volume as expected
✔️ Share findings with your team to inform future content and campaign planning
Last modified on September 1, 2026