Sales Forecasting Model vs Email Best Practices

Sales Forecasting Model

By Mohit Agarwal (PM Skills)

Build a structured sales forecast from your pipeline with stages, conversion rates, and scenarios.

Email Best Practices

By Resend

Build reliable, compliant email features that reach inboxes, not spam folders.

Sales Forecasting Model

• Builds a stage-by-stage pipeline model with conversion rates and cycle times
• Generates upside, base, and downside revenue scenarios from current pipeline
• Calculates pipeline coverage ratio to assess forecast confidence
• Creates an assumption log documenting deal size, close rates, and seasonality
• Runs activity-based sanity checks to confirm targets are achievable with current capacity

Email Best Practices

• Guides you through setting up email authentication (SPF/DKIM/DMARC) to prevent emails from going to spam
• Explains how to build compliant email capture forms with proper consent and double opt-in
• Provides a catalog of common transactional emails (password resets, confirmations, receipts) your app might need
• Helps you understand legal requirements for marketing emails (GDPR, CAN-SPAM, CASL)
• Shows you how to handle bounces, complaints, and maintain clean email lists

Reach for Sales Forecasting Model when…

• You're preparing a quarterly revenue forecast for board or investors
• You need to assess whether your pipeline is strong enough to hit targets
• You're a founder building your first structured sales forecast
• You need to defend your forecast with scenario analysis and documented assumptions

Reach for Email Best Practices when…

• You're adding email features to your product and need to understand what emails to build
• Your emails are landing in spam and you need to fix deliverability
• You're launching a newsletter or marketing emails and need to stay compliant
• You need to set up password resets, email verification, or other user notifications