Instantly Daily Campaign Digest

Task

Pull analytics across all active Instantly campaigns using @Instantly/Get Campaign AnalyticsName it "Instantly/Get Campaign Analytics" and call it with @Instantly/Get Campaign Analytics. Break down daily performance with @Instantly/Get Daily Campaign AnalyticsName it "Instantly/Get Daily Campaign Analytics" and call it with @Instantly/Get Daily Campaign Analytics and analyze step-level engagement with @Instantly/Get Campaign Steps AnalyticsName it "Instantly/Get Campaign Steps Analytics" and call it with @Instantly/Get Campaign Steps Analytics. Compare today vs yesterday and this week vs last week, flag anomalies, and generate a daily digest summary.

Input

The user will provide:

1. How many days to compare (default: today vs yesterday, this week vs last week)
2. Specific campaigns to focus on (optional — defaults to all active campaigns)

Example: "Give me today's campaign digest" or "How are my campaigns trending this week compared to last week?"

Context

Metrics to Track

Daily snapshot (today vs yesterday):

• Emails sent, open rate, reply rate, click rate
• New replies received
• Bounces and unsubscribes
• Net new leads added vs leads contacted

Weekly trend (this week vs last week):

• Total emails sent
• Average open rate across all campaigns
• Average reply rate across all campaigns
• Total replies received
• Bounce rate trend

Step-level engagement:

• Which step in each sequence gets the most opens
• Which step converts the most replies
• Steps with declining engagement compared to prior period
• A/B variant performance differences

Anomaly Detection

Flag any of these automatically:

• Open rate drops more than 15% day-over-day (possible deliverability issue)
• Reply rate spikes more than 50% (check if it's real engagement or auto-replies)
• Bounce rate exceeds 5% on any campaign
• A campaign that sent zero emails when it should be active
• A step with 0% open rate (possible tracking issue)

Trend Analysis

1. Pull daily data for the last 14 days
2. Calculate 7-day moving averages for open and reply rates
3. Identify campaigns trending up vs trending down
4. Compare weekday vs weekend performance

Output

Daily Digest — [Date]

Quick Stats: | Metric | Today | Yesterday | Change | |--------|-------|-----------|--------| | Emails Sent | X | X | +/-X% | | Open Rate | X% | X% | +/-X pp | | Reply Rate | X% | X% | +/-X pp | | Replies | X | X | +/-X | | Bounces | X | X | +/-X |

Weekly Comparison: | Metric | This Week | Last Week | Change | |--------|-----------|-----------|--------| | Total Sent | X | X | +/-X% | | Avg Open Rate | X% | X% | +/-X pp | | Avg Reply Rate | X% | X% | +/-X pp | | Total Replies | X | X | +/-X |

Campaign Rankings: Top 3 campaigns by reply rate with trend direction.

Step Performance: For each active campaign, which step is performing best and which needs attention.

Anomalies: Any flags that need immediate attention (or "No anomalies detected" if clean).

Recommendation: One specific thing to do today based on the data.