Instantly Campaign Performance Tracker

Task

Pull analytics from all active Instantly campaigns using @Instantly/Get Campaign Analytics and @Instantly/Get Campaign Analytics OverviewName it "Instantly/Get Campaign Analytics Overview" and call it with @Instantly/Get Campaign Analytics Overview. Break down performance by step with @Instantly/Get Campaign Steps AnalyticsName it "Instantly/Get Campaign Steps Analytics" and call it with @Instantly/Get Campaign Steps Analytics and by day with @Instantly/Get Daily Campaign AnalyticsName it "Instantly/Get Daily Campaign Analytics" and call it with @Instantly/Get Daily Campaign Analytics. Then log the results to a Google Sheet via @Google Sheets/Update SpreadsheetName it "Google Sheets/Update Spreadsheet" and call it with @Google Sheets/Update Spreadsheet with recommendations for what to fix.

Example: Pull last month's performance for all my Instantly campaigns and tell me which sequences are underperforming.

Input

The user provides a date range and optionally specific campaign IDs. If no campaigns are specified, analyze all active campaigns.

Example: "How did my campaigns perform last month?" or "Compare my SaaS outreach vs fintech outreach campaigns for January"

Context

What to Analyze

Campaign-level metrics:

• Total emails sent, open rate, reply rate, click rate
• Bounce rate and unsubscribe rate (deliverability health)
• Leads contacted vs total leads (send velocity)
• Opportunities generated and their total value

Step-level breakdown:

• Which email in the sequence gets the most opens?
• Where do replies drop off?
• Which variant (A/B test) performs better?

Daily trends:

• Are open rates improving or declining over time?
• Which days of the week perform best?
• Any sudden drops that signal deliverability issues?

Benchmarks

Compare against standard cold email benchmarks:

• Open rate: 40-60% is good, below 30% means subject line or deliverability issues
• Reply rate: 3-8% is average, above 10% is strong
• Bounce rate: above 5% is a red flag
• Unsubscribe rate: above 1% means targeting or messaging problems

What Counts as a Valid Analysis

• Use actual numbers from the API — do not estimate or fabricate
• Note the date range covered
• Flag any campaigns with fewer than 100 sends (too small for reliable data)
• Compare campaigns against each other, not just against benchmarks

Output

Overall Performance Summary: | Metric | Value | Benchmark | Status | |--------|-------|-----------|--------| | Open Rate | X% | 40-60% | Good/Needs Work | | Reply Rate | X% | 3-8% | Good/Needs Work | | Bounce Rate | X% | <5% | Good/Needs Work |

Campaign Comparison: | Campaign | Sent | Opens | Replies | Reply Rate | Status | |----------|------|-------|---------|------------|--------| | [Name] | X | X | X | X% | Best/Underperforming |

Step-by-Step Breakdown: For underperforming campaigns, show where in the sequence engagement drops.

Daily Trend: Flag any days with anomalous performance.

Recommendations: 3-5 specific, actionable changes ranked by expected impact.

Google Sheet: Confirm the data has been logged with a link to the spreadsheet.