CampaignReplay: Email Performance Time-Series Analyzer
Analyzes how email campaign performance metrics (open rate, click rate, conversion) decay over time to predict optimal resend windows and identify fatigue patterns for marketing teams.
The Problem
Email marketers send campaigns blindly without understanding how their audience engagement changes hour-by-hour or day-by-day after send. They don't know if their 3-day resend strategy is based on data or habit, leading to wasted sends, list fatigue, and missed revenue windows. Most email platforms only show aggregate stats, not temporal patterns.
Target Audience
Mid-market SaaS marketing teams, ecommerce brands with 50k+ email lists, and performance marketers optimizing for ROI per send using Klaviyo, Mailchimp, or Braze.
Why Now?
AI tools like Cursor can scaffold OAuth flows and chart integrations quickly; email ROI pressure is peak post-iOS privacy changes, so teams are desperate for optimization signals.
What's Missing
Email platforms prioritize sending, not analyzing *when* to send; resend strategy is largely guesswork despite being worth 10-30% of revenue per campaign.
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