Mailwarm 2.0 - The email warmup tool, upgraded for deliverability.

@grover___dev Right, real-time inbox placement is one of them. You also get full control over ESP volume split during warmup, plus scheduling and content warmup. Happy to walk you through it.

@dima_kulaksyz Thanks a lot! We definitely built this from the trenches of our own email workflows.

To keep things consistent, Mailwarm 2.0 completely isolates your reputation by ESP. Instead of guessing, you can see exactly how you're performing on Google vs. Microsoft in real-time, allowing the engine to adjust interaction patterns specifically for the platform where you're struggling.

@nathan_tran2 Appreciate that. The restart-every-launch pain is exactly why we built it to manage everything in auto pilot. Glad it landed. Thanks for the kind words.

@raphael_goldsztejn Thank you! Would absolutely love to hear your thoughts about it.

@zanc_zhao That’s a fair concern, Zanc. If a warmup network is small, repetitive, and predictable, it can become a bad signal. That’s why scale, diversity, email provider mix, B2B and B2C emails, rotation, and human-like engagement matter a lot. Mailwarm is built around 50,000+ real inboxes and positive interaction patterns, not the same tiny pool repeating forever.

Warmup only works if it looks like healthy reputation activity, not automation spam.

@sa206 It can help in both cases, but the approach is different.

For a new domain, the goal is to start clean: warm up gradually, create positive inbox interactions, and avoid damaging reputation too early.

For a damaged domain, warmup can help with recovery, but we first need to understand what caused the drop: reputation, infrastructure, blacklist, content, or sending behavior.

That’s why Mailwarm 2.0 combines warmup, monitoring, checks, and expert review.

Are you asking for a fresh domain or one that is already landing in spam?

@sergebulaev great question! It was one of our main worries while building the spam score feature. Does measuring spam score inside our network give an accurate picture of what senders experience in the real world? Are all spam scores fake? These are difficult questions to answer, because of the nature of deliverability.

It's always dynamic, and, inside providers systems, it's dependent on a lot of different unknown parameters that are given to machine learning models to decide.

So, going for a full reverse engineering of the system is quite impossible, which is good, don't get me wrong, spam filters are very useful!

Our approach in dealing with this was statistical.

We asked: what would simulate the real world but inside our system? The most obvious answer was a sender interacting with new mailboxes, since we now have a lot of mailboxes, any sender is sure to be interacting with both new and old ones.

So, internally, we created different spam scores depending on whether the sender already interacted with a mailbox or it's their first time. And we noticed around 3 to 5% differences.

This gave us more confidence in how representative the feature is of the real world. We even created an internal tool for testing the score only without email warm up to further test and find more insights, maybe we'll make it public soon.

But, again, really interesting question, thank you for the walk down memory lane.

@ansari_adin yes, it's not easy to manage the changes. Since mailwarm v1, we have diversified our ways of providing the warm up greatly, to provide our users with the best results to a point that, currently, our initial warm up process only represents less than 5% of we have right now. We're, of course, focused on this as it's the core part of the value we provide and we're building more infrastructure around it.

@kevin_minn Kevin, exactly the right question. For a 1-month-old domain, I’d be very careful. I would not wait doing nothing, but I also would not push volume too early.

I’d start with:

• clean setup first

• warmup running daily

• very low real outreach volume

• gradual increase week by week

• close monitoring by provider, especially Gmail and Outlook

The “green light” is not one magic day. It’s when spam score drops, inbox placement becomes stable, and the domain shows consistent positive signals while real outreach is already running lightly.

And yes, the audit offer is still open. Happy to have Othman or Manal take a look at your domain, inboxes, provider, and target volume so we can tell you what’s safe to do next.

@alexkhlystova Thank you so much! Coming from someone else in the email industry, that means a ton to the team. Basic warmup just doesn't cut it anymore against modern filters, so we really wanted to focus on those deeper engagement signals for 2.0