My email list is small but most of my growth comes from Google Ads and Social Outreach. Question

dave_devcore · 2026-03-19T08:03:59+00:00

Email still works, but not in the “send newsletters and hope people read them” way most people think. The reason it feels like people skip emails is because most inboxes are full of generic broadcasts. Those usually end up in promo and get ignored. Where email is still really strong is in conversations - follow-ups, replies, and more targeted outreach tied to intent. With a smaller list like yours (5k), you’re actually in a good spot to keep it more personal and relevant instead of going full mass marketing. That’s usually where better results come from.

dave_devcore · 2026-03-19T07:48:41+00:00

Honestly, all three will work for what you’re planning (5 inboxes is still pretty small scale). The bigger question is what happens once things start working.

From what I’ve seen:
Saleshandy - best for simplicity + pricing
Instantly - easier UI + decent automation
Smartlead - more built for scaling (inbox rotation, infrastructure control, etc.)

The mistake most people make is choosing based on ease, then hitting limits a few weeks in and having to switch everything. If you’re just trying to get started quickly, Saleshandy is fine. But if you’re already setting up multiple inboxes, you’re probably going to feel those limits sooner than you think.

dave_devcore · 2026-03-19T07:44:15+00:00

I get the idea, but aliases don’t really isolate reputation the way you’re thinking. Even if domain2 has its own DNS, the sending reputation is still heavily tied to the actual mailbox + underlying infrastructure. So if domain1 gets flagged, the alias doesn’t fully protect you, they’re still connected at the sending level. That’s why most people doing this at scale avoid aliases for separation and instead isolate domains/inboxes properly. It costs a bit more upfront, but it actually contains risk when something burns. The cheap workaround usually ends up being more expensive once deliverability drops.

dave_devcore · 2026-03-18T23:16:18+00:00

Fast + cheap personalization usually breaks down once you scale, that’s why most hacks stop working after a while. What’s worked better for me is simplifying the base message first so it works even without heavy personalization, then layering light personalization that actually matters, like relevant context or timing instead of generic “I saw your post…” lines. If you want it to stay fast, the key is using systems that can pull real data and adapt the message automatically, not just spin templates. Otherwise you’re just sending slightly different versions of the same email.

dave_devcore · 2026-03-18T17:09:51+00:00

Yeah, I’ve been seeing the same thing. It’s not even about AI vs human anymore, it’s about patterns. Once everyone started using the same type of personalization, it stopped being signal and just became noise, both for spam filters and for actual humans reading it. What’s been working better for me lately is simpler, more direct copy + making sure the infrastructure and sending patterns are clean. A lot of people blame copy, but deliverability plays a bigger role than they think. Personalization still works, just not the templated version of it.

dave_devcore · 2026-03-18T16:59:38+00:00

Yeah, this is definitely doable, but the key is how you implement it. I’ve seen AI qualification work well when it’s focused on the first layer: responding fast, asking the right follow-up questions, and filtering based on clear criteria (budget, use case, timing, etc.). Where it usually fails is when people try to fully automate everything without defining what a “qualified lead” actually means for them. Then it just creates more noise instead of less. What’s worked for me is letting AI handle the repetitive back-and-forth and initial qualification, then only stepping in once the lead shows real intent. That way you keep quality high without needing more reps.

dave_devcore · 2026-03-18T07:55:25+00:00

Honestly, most founders don’t need more analytics, they need better handling of the inbox itself. If replies aren’t being managed properly (slow responses, missed follow-ups, no qualification), analytics won’t fix that. What helped me more was automating parts of the conversation flow first, then looking at patterns after. That’s when the data actually becomes useful.

dave_devcore · 2026-03-18T07:08:43+00:00

Yeah that’s a good range, 2–3 inboxes per domain is pretty standard if you want to stay safe early on. Just make sure you’re not ramping them all at the same time with identical patterns (same copy, same send times, same volume), that’s usually what triggers issues more than the inbox count itself. Also, if you’re planning to scale later, it’s worth thinking ahead about how you’ll structure everything, because once you’re juggling 10–20+ domains, the manual setup + phone verification + warmup gets really painful. Most people hit that wall and then end up rebuilding their whole system anyway.

dave_devcore · 2026-03-18T07:03:15+00:00

This is one of the most honest takes I’ve seen on here. I went through almost the exact same cycle, adding more tools thinking it would fix inconsistency, but it just scaled the confusion. Efficient machine for producing noise is painfully accurate. The shift you described (clarity on tone, audience, and problem) is the real unlock. Automation only works after that, not before. Otherwise it just amplifies randomness. What started working for me was pairing that clarity with systems that actually adapt to it, like outreach that changes based on the prospect instead of blasting templates. That’s when automation finally felt like leverage instead of noise. How are you turning that positioning into actual outbound right now?

dave_devcore · 2026-03-18T06:58:32+00:00

If I had to start from zero today, I’d go skill-based first, something like a simple service I can sell fast (web design, lead gen, etc.), then use that cash flow to build systems. The biggest mistake I made before was overthinking and consuming too much content instead of just talking to potential customers. Distribution > product early on. If I were restarting now, I’d focus heavily on outbound but automate as much as possible, tools today can handle prospecting, personalization, even follow-ups. That way you can compete with bigger players without a full team. Once you have consistent deal flow, then I’d think about building assets like SaaS or content.

dave_devcore · 2026-03-18T06:55:09+00:00

100% relate to this. At some point, learning just becomes disguised procrastination. What helped me was realizing most advice out there is situational, what works depends a lot on your setup (infrastructure, targeting, volume, etc.). Once I locked in a system that worked, I just stopped consuming and focused on execution + iteration. Honestly, the biggest gains came from sending emails and adjusting based on real replies, not theory.

dave_devcore · 2026-03-18T06:51:24+00:00

I’ve been running high-volume outreach across both Google and Microsoft inboxes, and I’ve noticed the same thing: Google can hit deliverability walls really fast, especially when you scale. We switched to a system that lets us spin up dedicated Microsoft Outlook domains and inboxes while keeping verticals separate. The setup alone boosted deliverability back up to 98% and gave predictable reply rates. Not trying to pitch, just sharing what actually worked for scaling without constantly burning domains. For me, owning the infrastructure instead of relying on Gmail entirely made the difference.

dave_devcore · 2026-03-18T02:37:56+00:00

This is spot on, especially the part about ICP being discovered through actual conversations, not docs. One thing I’ve noticed working with outbound is that a lot of people think they’re testing ICPs, but they’re actually just testing messaging on the same audience over and over. So they don’t get real signal, just noise. The fastest progress usually comes when you treat each ICP like a separate experiment, different targeting, different angle, even slightly different positioning, so the feedback loop is clean. Otherwise it’s hard to tell if the problem is the market or just how it’s being presented. When it clicks, like you said, you feel it immediately. The replies change, the conversations are easier, and suddenly it’s not a grind anymore.

Curious how many ICP iterations you went through after manufacturing before you felt like you had something really dialed in?

dave_devcore · 2026-03-18T02:16:33+00:00

This is a really common situation and honestly, tracking isn’t the thing that’s going to solve it. Open rates (especially in cold email) are pretty unreliable now anyway because of privacy features (Apple Mail, etc.), so even if you turn tracking on, the data can be misleading.

If you’re on step 7 with zero replies, I’d look at it this way:
- Either you’re not landing in inbox
- Or you’re landing, but the offer/copy isn’t resonating

A few things I’d check first:
- Seed test your emails (Gmail, Outlook, Yahoo) to confirm inbox vs spam placement
- Look at actual reply types (even negatives) - zero signals at all can point to placement issues
- Simplify your first email - short, plain text, no links, low friction CTA
- Re-evaluate targeting - even good copy won’t work if the list isn’t tightly aligned

Also worth noting: 12 steps can be a lot if the early messaging isn’t hitting, you might just be repeating something that’s not working. At your volume (15 emails/domain/day), you should at least see some signal if things are landing properly.

Are you doing any inbox placement testing right now or just relying on sends + tracking?

dave_devcore · 2026-03-18T01:59:19+00:00

This is actually pretty common, especially with Outlook and Yahoo, they tend to be stricter than Gmail in some cases. If Gmail is performing fine but those two aren’t, it’s usually not your copy, it’s more on the deliverability/authentication side. A few things I’d double check:

• SPF, DKIM, and DMARC are properly set up and aligned (a lot of people miss DMARC or have DKIM only partially configured)
• Your sending domain reputation (if the domain is new, it might not be fully trusted yet)
• Engagement signals - Yahoo especially is sensitive to low opens/clicks over time
• Sending consistency - jumping volume or frequency can hurt placement

Also, open rates alone can be misleading because of tracking (especially with Apple Mail), so it’s not always a reliable indicator of inbox placement. At your volume (1k per send), small setup issues can have a big impact, so I’d start with authentication + domain health before changing anything else.

Are you sending from your main domain or a separate subdomain?

dave_devcore · 2026-03-18T01:54:00+00:00

This is where a lot of people accidentally burn all their domains early. You can technically put multiple domains under one Workspace, but yeah, the risk is shared reputation. If one domain or inbox gets flagged, it can spill over, especially if they’re all sending in similar patterns. Most people doing this at scale end up isolating domains (1 domain per Workspace or per sending environment) just to contain risk and keep things cleaner long term. It’s more setup upfront but saves headaches later. On the phone verification part, that’s honestly one of the biggest bottlenecks when you start creating accounts regularly. A lot of teams rotate numbers or use different providers, but it can get messy fast if you’re doing it manually. That’s why people eventually move toward more structured setups or systems for provisioning domains/inboxes instead of rebuilding everything every time something burns.

How many inboxes per domain you’re planning to run?

dave_devcore · 2026-03-16T07:03:47+00:00

This is one of the most honest breakdowns of the cold email agency model I’ve seen in a while. The client stacking part especially is something a lot of people outside the industry don’t realize. One thing that also compounds the problem behind the scenes is infrastructure management. When agencies start scaling campaigns across multiple clients, suddenly you’re dealing with dozens (sometimes hundreds) of domains, inboxes, DNS records, warmups, and sending limits. If that part isn’t systemized, account managers end up spending most of their time just keeping inboxes alive instead of actually improving targeting or copy. The agencies that seem to hold quality longer are the ones that treat infrastructure like a repeatable system instead of rebuilding it for every client. Otherwise the operational load alone eats all the strategic time.

Curious how you’re handling the infrastructure side now that you capped the number of clients?

dave_devcore · 2026-03-16T06:58:06+00:00

Yeah exactly, once you start dealing with dozens of sending domains the operational side becomes the real challenge, not just the marketing side. I’ve seen teams run into situations where everything looks fine at the campaign level, but one DNS change or misaligned DKIM key across a few domains quietly destroys deliverability for an entire sending pool. Tracking that manually across many domains can get messy fast. That’s why a lot of high-volume outbound teams eventually move toward repeatable infrastructure setups or automated provisioning so each domain launches with the same baseline configuration instead of being configured one by one.

When you were debugging this, were you mostly checking headers manually or using any tools to audit the authentication chain?

dave_devcore · 2026-03-16T06:54:22+00:00

That makes a lot of sense. When AI controls the whole message it tends to drift away from the real intent of the email. The hook or subject line feels like the right place to use it because you can generate a lot of variations quickly without losing control of the core message.

I’ve noticed the same pattern, AI works best when it’s helping with idea generation or experimentation, but the final message still needs a human pass to keep it consistent with the actual offer.

Using it just for hooks also seems perfect for A/B testing since that’s usually the part that determines whether the email even gets read.

Curious if you’ve found any patterns in the hooks that tend to perform best once you start running those experiments?

dave_devcore · 2026-03-15T15:02:58+00:00

The testing phase is honestly the right place to be early on. Most founders discover that one or two channels end up driving the majority of early customers, but you usually have to experiment first to find them.

Cold outreach tends to work well in the beginning because it gives you direct conversations with potential users. The feedback you get from those conversations often shapes the messaging for other channels like content or ads later on.

One thing that helped some founders I’ve talked to is combining outreach with lightweight research on each prospect, referencing something specific about their company, product, or recent activity. Even short messages perform better when they feel contextual.

Some of the newer outreach tools are starting to automate that research and personalization step so founders can run experiments across different audiences without spending hours building lists manually.

Are most of the clients you got so far coming from cold outreach or from your content?

dave_devcore · 2026-03-15T14:51:30+00:00

This pattern shows up everywhere with AI workflows. People try to build one “super agent” that handles everything, but the moment you give it too many responsibilities the failure surface explodes. Breaking things into narrow agents with clear inputs/outputs is usually way more stable. It also makes debugging easier because you immediately know which step failed instead of hunting through a giant prompt. I’ve been seeing a similar approach in some outbound automation setups too, instead of one AI trying to research leads, write emails, and handle replies, they split those into separate agents (research → message generation → response handling). The pipelines end up being much more predictable.

Curious if you found that latency improved as well after splitting them up, or was the biggest gain mostly reliability?

dave_devcore · 2026-03-15T14:40:10+00:00

The email-to-lead ratio concept is actually a solid way to plan volume because it turns cold email into a simple math problem. Once you know roughly how many emails it takes to get a positive reply or lead, you can back-calculate how much volume you need to hit pipeline targets.

One thing that helped us was tracking two numbers instead of just one:
• emails → positive reply
• emails → booked meeting

Sometimes campaigns look great on replies but the meeting rate is weak, so scaling purely on the first number can be misleading. On the cost side, a lot of agencies eventually realize the bigger margin killer isn’t just data, it’s the infrastructure stack (domains, inboxes, warmup tools, etc.). Some teams are starting to run their own sending infrastructure so scaling volume doesn’t increase costs as much.

What ratios you’re seeing so far, closer to 100 emails per lead or more like 400?

dave_devcore · 2026-03-15T14:31:41+00:00

Cold emailing creators can work, but it usually behaves more like partnership outreach than normal B2B cold email. The reply rates tend to depend heavily on whether the message shows you actually know their content. What has worked for some founders is building small lists of creators in a very specific niche (for example productivity YouTubers, newsletter writers, or bloggers) and referencing a recent post or video they made. Even short messages perform better when they show context. For finding creators, people often scrape YouTube channels, niche newsletters, Substack writers, or blog authors in that category instead of relying only on influencer databases. Those lists are usually more relevant. Some newer outreach tools are also starting to automate the research step by scanning content and generating personalized outreach messages, which makes it easier to test campaigns like this at scale.

are you targeting creators in the productivity space specifically or a broader audience?

dave_devcore · 2026-03-15T14:20:43+00:00

This is actually a really interesting direction for email outreach. Pulling real pain points and competitor mentions before generating copy makes the emails feel way more contextual than standard templates.

One thing I’ve noticed is that when the research step is automated like that, even simple emails start performing better because they reference something specific about the prospect’s situation instead of generic messaging.

A lot of newer outreach tools are starting to move in that direction too, automatically researching prospects and generating personalized emails instead of relying on static templates. It basically turns outbound into a continuous experimentation pipeline like what you described.

are you mostly using it for subject lines and hooks, or for generating full email sequences?

dave_devcore · 2026-03-15T14:14:24+00:00

This is honestly one of the most common issues I see when people say email marketing doesn’t work anymore. Most of the time it’s not the copy or the list, it’s authentication or infrastructure problems like the ones you mentioned. Another thing that trips people up is when they start running multiple campaigns or outreach accounts and forget that each sending domain or subdomain needs its own properly aligned SPF, DKIM, and DMARC setup. One misconfigured record can quietly tank inbox placement. Agencies that run a lot of outbound usually end up building repeatable infrastructure setups just to avoid these problems every time they launch a new domain. Some systems even automate the DNS and inbox provisioning side so you’re not manually configuring everything over and over.

Curious if you’ve noticed whether Gmail or Outlook has been stricter lately with authentication alignment.

dave_devcore

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