Warmup Settings - Overview for Pipl.ai
Basic Settings:
Pre-filled Values: Warmup settings come with recommended default values. You can modify these by changing the numbers in the fields for 'Increase per day,' 'Daily limit,' and 'Reply rate %'. Don't forget to hit the blue 'Save' button after making changes.
Disabling Slow Warmup: Located under the 'Increase per day' option, this setting is advisable only for older, already warmed-up email accounts. For newer accounts, a gradual warmup is essential, which Pipl.ai automatically manages.
Monitoring Blacklists:
You will be notified via email if your account gets blacklisted.
Advanced Warmup Settings:
Choose Business Type:
If enabled our custom AI model will match the content of Warm-up emails to the type of language typically used for communication in selected category. This helps to further enhance efficiency of warm-up emails. Best practice here is to select a category that matches your target prospect category the most.
Choose sending Schedule:
Activating this mode allows you to pick a time zone you use the most to send your campaign emails. This helps to follow a recognizable pattern in sending and avoid spikes in volume, which Email Service Providers and Spam Filters are monitoring for.
Weekend Only Mode:
Activating this mode ensures your accounts won't send emails on weekends. However, they will still receive warmup emails, mirroring real-world email behavior where you might not send emails over the weekend but still receive them.
Read Emulation:
This advanced feature uses headless browsers to simulate reading warmup emails as a real person would.
It's disabled by default because SMTP providers have their tracking and analytics systems. Enabling read emulation could potentially interfere with these analytics.
Warming Custom Tracking Domains:
Alongside warming up your email accounts, you can also warm up new custom tracking domains.
Adding your custom tracking domain to warmup emails enhances deliverability, especially for cold outreach emails, making it a recommended practice.