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- Earnings Window Timing
Earnings Window Timing
Times outreach to public company reporting windows.
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Works with the AI tools you already use
See it in action
You say
Find the reporting dates for NVDA and CRM. Plan a 10-day outreach sequence for their Finance teams starting next month.
Your agent does
NVDA (Q3): Report 11/20. Quiet: 10/21-11/20. Open: 11/21. Sequence Start: 11/11. CRM (Q3): Report 11/28. Quiet: 10/29-11/28. Open: 11/29. Sequence Start: 11/19. Note: Finance teams are unreachable during Quiet periods. Dates adjusted for fiscal year alignment.
What you get
About this skill
The problem
Public company outreach often fails because it hits finance or IR teams during the "quiet period" or reporting crunch. Generic outreach rules ignore staggered fiscal years, leading to poorly timed sequences that get ignored or blocked.
What it does
- Identifies exact reporting dates and quiet periods using live company filings and identifiers.
- Calculates optimal outreach windows based on specific departments like Finance, IR, or Communications.
- Accounts for non-standard fiscal years to ensure timing accuracy across global tickers.
- Generates a specific dated send calendar for each target company based on your sequence length.
- Flags unresolved companies explicitly to maintain pipeline integrity.
Frameworks & tools
Apify (Public Company Reporting Window Finder), ICP.md context files.
Why this beats prompting it yourself
Standard LLM prompts rely on training data that quickly becomes stale or hallucinate reporting dates. This skill uses live identifier resolution and handles the complex math of working backward from dynamic windows to ensure your first touch lands exactly when the recipient has the capacity to respond.
Use cases
- Timing investor relations outreach to land immediately after results are posted.
- Avoiding the pre-earnings quiet period for finance and communications leads.
- Planning multi-touch sequences that peak during open windows.
- Mapping global outreach schedules for companies with non-calendar fiscal years.
Most premium skills are on a weekly review cycle. Fixes and improvements ship as updates, and buyers receive release notes by email. Part of the Mambabuilt catalog. Packs and the full bundle are available at mambabuilt.com.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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