Question 1

Does AI Cold Email guarantee my emails won't go to spam?

Accepted Answer

No tool can guarantee 100% inbox placement, and we're upfront about that. What AI Cold Email does is stack the deliverability odds in your favor: built-in email warmup gradually ramps sending volume on a new domain instead of blasting from day one, bounce tracking pulls dead addresses out of your list before they hurt your sender score, and server-side sending rotation spreads volume across multiple sending paths rather than hammering one domain. Combined, these are the mechanics behind the compliance and deliverability feature, and they're a meaningful part of why clients see 3.5 times higher reply rates, since a reply is impossible if the email never lands in the inbox to begin with. Domain age and existing reputation still matter more than any tool can fully override.

Question 2

How personalized are the generated emails?

Accepted Answer

Each email is written individually, not templated with a first-name merge tag. The AI pulls the prospect's LinkedIn activity, recent company news, and firmographic data like industry and headcount to write a genuinely specific opening line and value proposition for that one recipient, which is the hyper-personalization feature doing its job. This is why the platform saves around 80% of the manual copywriting time a sales team would otherwise spend researching each prospect by hand. For B2B SaaS outbound and agency client acquisition use cases especially, generic templated outreach gets ignored fast, so the model is tuned to reference something concrete about the company or the person rather than writing something that could apply to any recipient in the list.

Question 3

Can I review the emails before they are sent?

Accepted Answer

Yes, Draft Mode lets your SDRs review, edit, and approve every generated email before it goes out, rather than sending fully autonomously. Most teams run in Draft Mode during their first few campaigns while they calibrate the tone and value proposition the AI is generating, then loosen the review requirement once they trust the output. This sits between the AI Writes Emails and Launch Campaigns steps of the workflow: nothing reaches a prospect's inbox without passing through whatever review setting you've configured. Recruiting outreach and partnership development teams, where messaging tends to be more relationship-sensitive, tend to keep manual review on longer than high-volume SaaS outbound teams do.

Question 4

What is the A/B testing engine capable of?

Accepted Answer

It tests subject lines, calls to action, and full body copy variations against each other simultaneously, then automatically shifts more send volume to whichever variant is outperforming as it approaches statistical significance, rather than waiting for a human to check the dashboard and manually reallocate. This is the same Learn and Improve loop that feeds back into future campaigns: once a subject line or opening line pattern proves itself, that learning carries forward into how the AI writes emails for the next batch of prospects. Over enough campaign volume this compounds, which is a big part of how clients end up generating roughly twice the pipeline compared to manually written, unoptimized sequences.

Question 5

Does it support multi-channel sequences (e.g., Email + LinkedIn)?

Accepted Answer

Yes, a sequence can mix cold email with automated LinkedIn connection requests and follow-up messages, coordinated through the LinkedIn Sales Navigator integration so the two channels don't overlap awkwardly, like sending a connection request the same day as a cold email that references it. Multi-channel sequencing tends to matter most for agency client acquisition and partnership development, where a prospect might see three or four touches across two channels before replying to any single one. Sequence Automation handles the timing logic so a LinkedIn touch fires a day or two after an email goes unanswered, not both landing at once, which in our experience is what actually drives the reply-rate lift over either channel alone.

Question 6

How many emails can I send per day?

Accepted Answer

Your domain's age and reputation set the ceiling: the platform typically scales up to 500 to 1000 emails per inbox daily once a domain is warmed up. A brand-new domain starts much lower, sometimes under 50 a day, and the smart scheduling feature ramps volume upward gradually, never letting a client blast full volume from day one, which is exactly the kind of mistake that tanks deliverability. We enforce these limits as hard caps rather than suggestions because protecting your sender reputation matters more long-term than any single day's send volume. Teams running multiple inboxes for higher aggregate throughput see their limits calculated per inbox, not pooled across the account.

Question 7

Is this compliant with CAN-SPAM and GDPR?

Accepted Answer

Yes. Every sequence includes automatic opt-out handling, so an unsubscribe request stops all future touches across every channel in that sequence, LinkedIn steps included, rather than stopping the email alone. The platform also maintains a global suppression list shared across your entire account, meaning once someone opts out or bounces hard, they won't get re-added accidentally by a future campaign import. This is part of the same compliance and deliverability feature that handles warmup and bounce tracking, and it matters across all four use cases we support, from B2B SaaS outbound to recruiting outreach, since GDPR and CAN-SPAM violations carry real regulatory risk regardless of which industry is doing the sending.

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AI Cold Email

What is AI Cold Email?

AI Decision Intelligence

Everything you need. Nothing you don't.

Hyper-Personalization

Sequence Automation

A/B Testing Engine

Smart Scheduling

CRM Integration

Compliance & Deliverability

Without AI

With AI Cold Email

Import Prospects

AI Writes Emails

Launch Campaigns

Learn & Improve

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