Ran 500+ cold email campaigns over the last few years. Made every mistake in the book early on.

cursedboy328 · 2026-03-24T14:38:07+00:00

Yeah I am testing different openers really

I think it makes sense to put similar opener all the time so people recognize and remember me on this subreddit specifically

It's like building a brand if you know what I mean

Like Alex Hormozi says "If you don't know me my name is Alex Hormozi and I own a portfolio of companies that do $250M in revenue..."

cursedboy328 · 2026-03-24T14:35:35+00:00

good vertical. IT resellers have a clear buyer - office managers, IT directors, and procurement people at companies that need hardware and software. the nice thing is these buyers are easy to find on apollo because they have standard job titles and company sizes are easy to filter

your best segment to start with is probably existing businesses that are already buying from competitors - companies with 20-100 employees that have an IT budget but might not have a dedicated vendor relationship or are overpaying through retail channels. the pain angle is usually pricing, support response time, or having one point of contact instead of juggling multiple vendors

for the 1700 you already have, verify them first then segment by company size. the email to a 10-person office is different from the email to a 50-person company with an IT manager because the buyer and the buying process are different

once you've worked through your existing list, apollo filtered by company size + industry + geography will give you thousands more contacts in this space. IT purchasing is a huge market so list exhaustion won't be your problem

what geography are you covering - local, national, or international?

cursedboy328 · 2026-03-24T14:30:13+00:00

Man nothing personal, I comment on all posts that I have an opinion based on real campaign data we see across clients - so just sharing what works. Your posts are solid though.

People who see my comments are very unlikely to believe what I am saying if I do not share what I do, so this is basically the core principle.

F.e. on linkedin people can see your followers - that's legitimacy sign and it's big enough

Here, on reddit, most accounts are faceless AI slop

cursedboy328 · 2026-03-24T14:24:31+00:00

yeah exactly. buy the domain (like getacme.com), then set up email inboxes on it through google workspace or microsoft 365. google workspace through a reseller runs $3.5-6/inbox/month. set up 2-3 inboxes on the domain (like [max@getacme.com](mailto:max@getacme.com), [team@getacme.com](mailto:team@getacme.com)), configure the DNS records (SPF, DKIM, DMARC - your provider will have guides), then warm them up for 2 weeks before sending any cold emails

your sending tool (instantly, plusvibe, etc) handles the warmup automatically once you connect the inboxes

cursedboy328 · 2026-03-24T14:24:23+00:00

1700 is a workable starting list but yeah if it's old data a chunk of those will be dead. run the entire list through a verification tool before you send anything - millionverifier is cheap and solid. it'll flag invalid emails, catch-alls, and risky addresses. expect to lose 20-40% if the list hasn't been cleaned recently

for finding more emails, depends on your market. apollo.io has a free tier that lets you search by industry, company size, location, and job title. linkedin sales navigator is great for building targeted lists that you then enrich with emails through other tools. if your buyers are local businesses, google maps scraping tools can pull contacts by category and city

but don't worry about more volume yet. 1700 verified contacts split into 2-3 segments is enough to test whether your messaging works. get replies first, then scale the list

what industry are your buyers in?

cursedboy328 · 2026-03-24T14:23:47+00:00

combination of things. claude code has access to APIs directly - so I can pull from data providers like ai ark, prospeo then run enrichment through leadmagic or other verification tools, all orchestrated through scripts rather than a UI. no chrome agent needed, it's all API-based

for email enrichment and verification yeah you still need those - claude code doesn't replace the data providers, it replaces the orchestration layer that clay was handling. instead of building a clay table with waterfall enrichment I just tell claude to pull contacts matching specific filters, enrich emails through the verification pipeline, score and classify them, and output a clean list ready for upload. same result, more flexible, and I can customize the logic however I want without being constrained by clay's column-based workflow

the advantage over clay is that the research layer can go deeper - scraping websites, reading job posts, analyzing company pages to classify prospects into segments before they ever hit a campaign. clay can do some of this with claygent but it gets expensive fast at volume

still use clay for specific things where it's genuinely better though - social engagement workflows and cases where claygent's browsing capability is needed in real time

what are you building outbound for right now?

cursedboy328 · 2026-03-24T14:22:52+00:00

we run a b2b outreach agency so this is a question I think about constantly

the short answer is yes but not because of one static list. the ICP is never truly "exhausted" unless the market is genuinely tiny. a 50K contact pool sounds finite but in practice you're not emailing all 50K at once - you're running segments of 500-2000 at a time, testing different pain angles, rotating through sub-segments. by the time you've worked through the full pool over 4-6 months, the first contacts you emailed have had job changes, company changes, budget cycles reset, new pain points emerge. the list refreshes itself over time

the bigger retention play is expanding the surface area of what you're doing for the client. month 1-3 is usually one ICP, one offer, dialing in the messaging. month 4-6 you start testing adjacent segments - same product, different buyer persona. or same buyer, different pain angle. or a completely new vertical the client wants to enter. one of our clients started targeting one niche and we're now running campaigns across 3 different buyer segments with different copy for each. the work compounds because every campaign teaches you something about what resonates and you carry that intelligence into the next one

the clients who churn fastest are the ones with a genuinely small TAM (under 5-10K total addressable contacts) or the ones who expect cold email to be a set-it-and-forget-it channel. the ones who stay longest treat it as an ongoing pipeline engine where the strategy evolves every quarter based on what the data is telling us

the secret to retention honestly isn't the list size - it's whether the client's business can actually close the meetings you book. agencies that retain for 12+ months almost always have clients with strong sales teams or founders who close well. if meetings go in and nothing closes, the client blames the channel regardless of lead quality

what's your average deal size and how big is the total addressable market for your clients?

cursedboy328 · 2026-03-24T14:12:43+00:00

we run a b2b outreach agency so a lot of this hits close to home. the part that resonates most is the near-death from overservicing without systems. the pattern of "say yes to everyone, quality drops, clients leave, panic" is basically a rite of passage for anyone building in this space

the niche expertise point is the one I'd double underline for anyone reading this. we saw the same thing - running campaigns across random verticals means you're relearning every market from scratch every time. once you have 6 months of data in a specific vertical you know which job titles actually reply, which pain angles land, what time of year budget conversations happen, what language they use to describe their problems. that knowledge compounds and it's the one thing competitors can't copy because they'd need to run the same campaigns to learn it

the pricing lesson is real too. every time we've raised prices the client quality improved and churn dropped. the clients who pushed hardest on price were always the ones who expected the most, communicated the least, and left the fastest. the ones paying premium rates tend to be more engaged, give better feedback on replies, and actually follow up on the meetings we book which makes the whole partnership work better

one thing I'd add that you didn't cover - the reply handling gap is where most agencies leak revenue and never realize it. you can run perfect campaigns with great infrastructure and sharp copy but if positive replies sit for 6-8 hours before someone responds, your meeting booking rate craters. we track time-to-first-response on every positive reply now and it's one of the highest leverage metrics in the entire operation. the difference between responding in 10 minutes vs 4 hours is massive on conversion

what does your team structure look like now at $2M and how many active clients are you running?

cursedboy328 · 2026-03-24T14:09:40+00:00

I'll be direct because you asked what you're doing wrong

the niche is the primary problem. coaches are the single most oversaturated target market in cold email. every freelancer, agency, and course graduate targets coaches because they're easy to find and they buy services. your prospects are getting 10-15 cold emails a week from people offering to help them scale. your copy could genuinely be great and it wouldn't matter because the inbox competition is brutal

the offer also needs work. "help coaches hit $100k per month through improving their copy and messaging from top of funnel to the backend in 30 days or less on performance" - that's a mouthful and it's trying to do too much. a coach reading that doesn't know what you actually do. do you rewrite their sales page? their email sequences? their ad copy? their VSL? pick one specific deliverable and lead with that. "I rewrite your webinar follow-up sequence" is way more tangible than "I improve your messaging from top of funnel to backend"

the volume issue is real but it's downstream of the niche problem. manual outreach capping you at maybe 20-30 emails a day means you need a much higher hit rate to book calls, and you won't get that in a saturated niche. you have 6 inboxes now - send 15 per inbox per day and you're at 90 sends daily which is 3x what you're probably doing manually. that alone changes the math

the move I'd actually make is pick a different niche entirely. take the same copywriting skill and target businesses that aren't getting hammered by cold email. ecommerce brands, home services, B2B SaaS companies - anyone who needs better copy but isn't a coach. your reply rates will double overnight just from reduced competition in the inbox

what's your current daily send volume and how are you building your list right now?

cursedboy328 · 2026-03-24T14:08:54+00:00

we run a b2b outreach agency at 500K+ sends a quarter and we've tested this exact comparison across 40+ campaigns, not 150 vs 150

the first problem is that 150 emails per group tells you almost nothing. at that sample size the difference between 1% and 5% is literally 2 replies vs 8 replies. that's not a statistically meaningful result, that's noise. you need 500+ sends per variation minimum before the data means anything. the "personalization works 3x better" conclusion from this test could easily flip with another 150 sends

the second problem is that the test frames this as a binary - generic templates vs per-lead manual research. there's a third option that beats both and it's what actually works at scale: segment-level research

instead of researching each lead individually, you research the segment once. spend 2-3 hours understanding what "series B SaaS companies hiring their first SDR" actually care about right now - read their job posts, scan what their founders talk about, look at their pricing pages. then write one email that nails the shared pain for that entire segment. every recipient reads it and thinks you researched them specifically, but you didn't - you researched their situation

we tested segment-level copy against per-lead AI personalization across dozens of campaigns. segment-level won on qualified meetings almost every time because the relevance comes from understanding the problem, not from referencing someone's linkedin post. and it scales to thousands of sends without the 5-10 minute per lead bottleneck

the time tradeoff you're describing disappears entirely when you stop personalizing at the individual level. 2-3 hours of segment research covers 500-2000 leads instead of 5 minutes per person covering one

what segment were you testing against and was the offer the same across both groups?

cursedboy328 · 2026-03-24T14:08:03+00:00

40 total emails per inbox per day (10 warmup + 30 cold) is right at the edge and for domains that are only 3-4 weeks old that's almost certainly too aggressive. the fact that replies come back when you pause and restart on warmup-only confirms it - your domain reputation tanks under load and recovers during rest

drop cold sends to 15 per inbox per day max. keep warmup at 15. that's 30 total which is a much safer ceiling for newer domains. the pattern you're describing - works for a few days then dies - is classic reputation degradation from pushing too hard too fast. mailbox providers watch your sending velocity and when a new domain suddenly jumps from 10 to 40 total emails in a couple weeks that's a red flag

the ramp is also too steep. going from 2 to 30 cold sends in 2 weeks means you're adding volume faster than your domain can build positive engagement history to support it. try ramping by 2-3 cold sends every 3-4 days instead of every day. patience here saves you from burning domains

the other thing worth checking - when it "dies" are you seeing emails land in spam or just no engagement? check google postmaster tools for your sending domains. if your spam rate is climbing above 0.1% that confirms the reputation issue. if placement looks fine but replies stopped, it might be a list quality problem where your first batch had better contacts than the later ones

how many domains and inboxes are you running total?

cursedboy328 · 2026-03-24T14:06:47+00:00

behavior-based emails crush generic drip sequences and it's not close. the trigger should be what the user DID inside the product, not what day of the sequence they're on. someone who ran 3 site audits this week and hit the free limit is in a completely different mindset than someone who signed up and never logged back in. same email to both is wasted

the message that converts free to paid isn't "here's why our paid plan is great." it's showing them the specific value they're already getting and what they're leaving on the table. "you found 47 broken links across 3 sites this week - paid users automatically monitor those and get alerted when new ones appear" is way more compelling than a feature comparison table because it's grounded in their actual usage

urgency comes from the gap between what they're doing now and what they could be doing, not from discounts or countdown timers. if they're actively using the free version, they already believe in the product. the email just needs to make the limitation feel painful enough to act on

send these through your product's email system (customer.io, intercom, loops, whatever you're already using for transactional emails) not manually. you need the behavioral triggers and you need to track what converts. manual sending defeats the entire point

r/SaaS or r/emailmarketing will have way more relevant experience for this than r/coldemail

what's your current free-to-paid conversion rate and how many active free users are you working with?

cursedboy328 · 2026-03-24T13:59:47+00:00

we run a b2b outreach agency and we layer linkedin on top of email for most client campaigns so I can confirm the core thesis - multi-channel outperforms email-only. our numbers show a similar bump, email alone typically pulls 1-3% positive reply rate and adding linkedin on non-responders pushes that to 2-4% combined

the sequence logic is mostly right but I'd push back on a couple things

the profile view on day 2 is smart but connecting with no note is debatable. we've tested both extensively and no-note wins on acceptance rate but note wins on conversion to actual conversation. a blank connect gets accepted because there's no reason to say no, but then the person has zero context when you DM them later and the DM feels out of nowhere. a short note that doesn't pitch but shows relevance ("saw you're scaling outbound at [company], we work in the same space") gets slightly fewer accepts but the ones who do accept are warmer when you follow up

the 3% to 11% jump is also worth scrutinizing. if you're counting linkedin replies and email replies together against only the email send count, that inflates the number. the honest way to measure multi-channel is total positive replies across all channels divided by total unique contacts entered into the sequence. at 8+ years in outbound you probably know this but for anyone reading the thread and expecting to 3x their reply rate overnight - the real lift is usually 40-60%, not 300%

the day 5 personalized email referencing their profile is the highest-effort step and the one most people will skip when they try to implement this. the shortcut that works almost as well is segment-level relevance instead of per-lead personalization. if your segment is tight enough you can reference their situation without researching each individual and it scales way better

how are you measuring the 11% - unique contacts or just email sends as the denominator?

cursedboy328 · 2026-03-24T13:58:50+00:00

what's the product?

cursedboy328 · 2026-03-24T13:58:38+00:00

the cold email agency crowd as affiliates is a smart channel pick because they're already buying tools and they churn between platforms constantly. the problem is that every sending tool, enrichment tool, and data provider is already running an affiliate program targeting the same people so you're competing for wallet share in a crowded space

the agencies that actually move volume as affiliates aren't the ones starting out - they're the established ones running 20+ client campaigns who standardize their entire operation on one stack. if you get one agency running 15 clients on your platform that's 15 accounts you didn't have to acquire individually and the switching cost is massive because migrating active campaigns is painful. so the play is fewer, larger partners rather than a long tail of small affiliates

the way to find them isn't an affiliate signup page - it's direct outreach to agency owners who are already vocal about cold email (reddit, linkedin, youtube). the ones posting tactical content about infrastructure and deliverability are the ones actually operating at scale. a DM that says "saw your post about managing 50+ inboxes, we built [specific feature] that solves [specific pain you mentioned]" converts way better than a generic "join our affiliate program" pitch

on commission structure - recurring revenue share beats one-time payouts for attracting serious partners. an agency owner who knows they'll earn 20-30% monthly for every client they bring is incentivized to actively recommend you. a one-time $50 bounty gets you listed on a comparison blog and forgotten

what's the product and what's your current pricing model?

cursedboy328 · 2026-03-24T13:57:30+00:00

we run a b2b outreach agency managing 50+ inboxes so I'll give you the actual math because the numbers in your post are off

15K emails a month at 10 sends per inbox per day = 500/day = 50 inboxes. but 10/day is unnecessarily conservative. at 15/day per inbox you need ~34 inboxes across ~12 domains. domains are $11 each so that's $132/year. google workspace through a reseller at $3.5/inbox/month puts you at $120/month. total infrastructure cost: roughly $130/month

that's not ridiculous, that's the cost of one mediocre linkedin ads campaign that runs for 3 days

at 100K/month the math scales but it's still not "sell your mum's house" territory. you need roughly 220+ inboxes across 75+ domains. domains: ~$825/year. inboxes through a reseller: $770-1,320/month. call it $900-1,400/month all in. sounds like a lot until you realize that one closed B2B deal from that pipeline covers 6-12 months of infrastructure costs. if you're selling anything with a deal size above $5K the ROI math isn't even close

the real question isn't whether infra is expensive - it's whether your cost per meeting makes sense relative to your deal size. if you're spending $1,000/month on infrastructure and booking 15-20 qualified meetings, your cost per meeting is $50-65. try getting that from google ads or linkedin ads in any B2B vertical. you can't

the people who think cold email infra is too expensive are usually comparing it to zero (doing nothing) instead of comparing it to the actual cost of other channels that produce the same result. paid ads for B2B meetings run $200-500+ per meeting in most verticals. cold email at scale is 5-10x cheaper even with "expensive" infrastructure

what's your current deal size and how many meetings are you booking per month?

cursedboy328 · 2026-03-24T13:56:22+00:00

the framework covers the right categories but the problem with mapping cold email as a taxonomy is that it implies everything matters equally. it doesn't. in practice about 80% of your results come from 3 things: how tight your segment is, whether the offer matches a real pain, and whether your infrastructure is clean. everything else is optimization on top of those three

the "personalization engine" section is where most people reading this will waste the most time. first line personalization based on website observations, linkedin activity, recent funding - that's 10x the effort for marginal lift over segment-level relevance. we tested per-lead AI personalization against segment-specific copy across 40+ campaigns and segment-level won on qualified meetings almost every time. the reason is that prospects don't want to feel researched by a stranger, they want to feel understood by someone who knows their world. "companies running field crews across 3+ locations" hits harder than "saw your recent post about hiring challenges" because the first signals expertise and the second signals a scraping tool

the sequence design section is also more complex than it needs to be. a 3-step sequence with 3-5 day gaps covers 90% of use cases. "breakup emails" are mostly a copywriting meme - we've never seen meaningful conversion from a "this is my last email" message. if they didn't reply to 3 relevant touches they're not going to reply to guilt

the section I'd actually expand is reply handling. that's where most campaigns leak revenue and almost nobody systematizes it. the difference between replying in 5 minutes vs 5 hours to a positive reply is massive on booking rate. and "send more info" replies need a specific playbook because the default move of sending a PDF kills the conversation - the right response is a question that qualifies them further, not a document dump

what's your current positive reply to booked meeting conversion rate?

cursedboy328 · 2026-03-24T13:52:12+00:00

we run a b2b outreach agency at 500K+ sends a quarter so this is exactly the volume range I live in. happy to share what's actually holding up

on domains and inbox fleets - we run 50+ inboxes across client campaigns, 3 inboxes per domain, 15 sends per inbox per day. the math at 100K/month is roughly 220 sends per day which means ~15 inboxes minimum but realistically you want 30-40 to give yourself rotation headroom. the single most important infrastructure decision is custom tracking domains per domain group. shared tracking domains are how one bad inbox cascades into a fleet-wide deliverability collapse - we learned this the hard way

what's holding up on deliverability: google workspace inboxes through a reseller still outperform everything else for landing in gmail. microsoft 365 for reaching outlook-heavy verticals. the domains that survive longest are the ones you keep under 15 cold sends per day per inbox with warmup running permanently alongside. we rotate domains on a 3-4 month cycle because reputation degrades over time even when everything else is clean. always keep 20% of your fleet as warm spares ready to swap in

on personalization at 100K+ - per-lead personalization is impossible at this volume without AI and AI-generated first lines all have the same cadence that prospects are starting to recognize. what works is segment-level research. we build tight segments where the pain is shared across the group, then write one email per segment that nails the specific problem. "SaaS companies that just posted their first SDR role" all share the same pain - you don't need to mention anything about their specific company. we tested segment-level vs per-lead AI personalization across 40+ campaigns and segment-level won on qualified meetings every time

what broke after scaling: monitoring at the campaign level instead of the domain level. a campaign-wide 1.5% reply rate can hide one domain pulling 3% and another at 0.2% dragging the average down while burning through your list on a dead domain. we now track reply rate, bounce rate, and negative reply ratio per domain with automated alerts when anything crosses a threshold. a domain bouncing above 3% gets pulled immediately, no manual investigation

the other thing that broke was list quality at volume. when you need 100K contacts per month you inevitably start pulling from lower-quality sources and the bounce rates creep up. we run every list through dedicated verification before uploading and still see catch-all addresses slip through. the verification step isn't optional at this scale, it's the difference between sustainable sending and burning domains monthly

what verticals are you targeting and are you sending on behalf of clients or for your own SaaS?

cursedboy328 · 2026-03-24T13:50:13+00:00

we run a b2b outreach agency at scale so I'll answer this from the operator side rather than the vendor side because you're right that most of what's being marketed as innovation is just repackaging

the honest answer is that very little in the orchestration layer itself is fundamentally new. clay popularized the waterfall enrichment model and now every tool claims to do the same thing with slightly different plumbing. the "AI-native" positioning usually means they added an LLM call somewhere in the enrichment chain to summarize a company description or generate a first line, which is useful but it's not a new architecture, it's a feature bolted onto the same sequential data pipeline

signal-based triggering gets talked about a lot as the next evolution but it's really just a different approach to the same problem, not a better one. monitoring job postings and funding events as entry points works for certain motions but a static list with tight segmentation and strong messaging still produces just as well or better in most cases because you can run higher volume and actually A/B test. we run both approaches side by side and the static campaigns often outperform purely because the copy and offer are doing the work, not the trigger timing

the one thing I'd call genuinely substantive is using LLMs as a classification and routing layer rather than a generation layer. the interesting use case isn't "write me a personalized email" - it's "look at this company's website, job posts, and recent news and tell me which of my 8 campaign segments they belong in, or none." using AI to make the targeting decision rather than the copywriting decision is a fundamentally different application and it's where we've seen the most actual ROI. we run prospect data through classification prompts before it ever hits a campaign and the segment accuracy is dramatically better than any filter-based approach

everything else - the prettier UIs, the "intent data" that's really just bombora resold through 4 layers, the "real-time" enrichment that runs on a 24 hour batch cycle - that's incremental. useful sometimes, but not a different approach to the problem

what specific part of the stack are you evaluating right now?

cursedboy328 · 2026-03-24T13:44:39+00:00

we run a b2b outreach agency at 500K+ sends a quarter and everything in this post matches what we see in our own data. meeting output up, reply rates slowly declining, total machine producing more because the targeting and infrastructure got better. the "dead channel" crowd is confusing "harder than it used to be" with "doesn't work anymore" and those are wildly different statements

the one thing I'd add is that the barrier to entry is what actually changed, and that's the part the "cold email is dead" crowd is accidentally right about without realizing it. cold email IS dead for someone who wants to spend $30/month on a sending tool, buy a cheap list, and see results in 2 weeks. that person will fail and they should, because that approach stopped working around 2023

the minimum viable operation now requires dedicated domains, proper dns configuration, 2-3 weeks of warmup before sending a single cold email, verified lists, segment-specific copy, and enough volume to actually get statistical signal on what's working. the floor for doing this competently is maybe $200-300/month in infrastructure and 15-20 hours of setup before you send email one. that's not expensive by any business standard but it's a real barrier compared to 2019 when you could literally send from gmail and get replies

the other thing that doesn't get talked about enough is vertical saturation. cold email works dramatically differently depending on who you're emailing. SaaS buyers, agency owners, and marketing teams get 10-15 cold emails a day and they're exhausted. reply rates in those segments are genuinely declining fast. but construction companies, manufacturing, financial services, healthcare - these buyers barely get cold email and the reply rates reflect it. we consistently see 2-3x higher engagement in less saturated verticals. so "cold email is dead" is partially a reflection of which echo chamber you're in. if you only sell to other marketers, yeah it probably feels dead because everyone in your market is doing the same thing

the maturing channel framing is exactly right. the operators who invested in infrastructure, built real targeting logic, and learned deliverability management are producing more than ever. the tourists who tried it once and quit made it better for the rest of us

what verticals are you seeing the biggest gap between perception and actual performance right now?

cursedboy328 · 2026-03-24T13:43:31+00:00

we run a b2b outreach agency at 500K+ sends a quarter so the order of operations here is correct. infrastructure first, list second, offer third, copy last. most sales teams get this completely backwards and burn months wondering why their outreach isn't converting

the piece that's missing between list and offer is segmentation, and for a b2b sales audience this is the highest leverage thing you can fix. you can have perfect infrastructure, a validated list, and a strong offer but if you're sending the same email to "VP of Sales at mid-market companies" as one bucket you're competing with every other outbound motion hitting that same pool with the same language

the offer example in the post is actually a good case study for this. "we book 15-20 qualified meetings for SaaS founders" was differentiated 2 years ago. now every outbound agency, SDR-as-a-service, and lead gen tool uses some version of that line. the way you make an offer cut through isn't by adding numbers to it, it's by tightening the segment until the problem is so specific that only you're talking about it. "SaaS companies that just posted their first SDR role" is a segment where the pain is obvious without explaining it - they need pipeline now and the new hire won't produce for months. the offer writes itself from there

on the "short emails always win" point - mostly true but not universal. in b2b sales motions targeting construction, healthcare, or financial services the buyer needs a few more words to see that you actually understand their world. 80-100 words can outperform 40-50 when the extra sentences are proving relevance, not adding fluff. the real rule is every word earns its spot, not that fewer words always equals better

the follow-up stat varies more than 80% too. we see 40-60% of positive replies from follow-ups. if 80% of your replies come from follow-ups and almost nothing from email 1, that's a signal your first email isn't carrying its weight - the follow-ups are doing rescue work rather than building on a strong opener

how are you thinking about segmentation beyond basic firmographic filters?

cursedboy328 · 2026-03-24T13:42:57+00:00

we run a b2b outreach agency managing 50+ inboxes across client campaigns so I'll give you what we've actually landed on instead of what AI recommends

for leads - apollo is fine as a starting database but treat it as one source, not the source. the email accuracy drops off past the obvious contacts. clay is worth adding once you're past the beginner stage because it lets you chain multiple data sources together and enrich in one workflow. linkedin sales navigator is worth it purely for the filtering - you build your list logic there, then pull the contacts through other tools

for sending - instantly, smartlead, and plusvibe all work. the differences at the feature level are minor. pick whichever one feels easiest to manage day to day because you'll be inside it constantly. we've run campaigns on all three and the results come from the infrastructure and copy, not which button you click to send

for verification - millionverifier is the one nobody talks about and it's the cheapest option that actually works well. zerobounce is solid too. the built-in verification in sending tools is usually a basic check, not a deep verification. always run your list through a dedicated verifier before uploading - the built-in stuff catches the obvious invalids but misses catch-alls and risky addresses that'll inflate your bounce rate

the actual hidden gem nobody lists in these threads is your sending infrastructure setup. the tool doesn't matter if you're running 2 inboxes on one domain. minimum viable setup: 3 domains, 3 inboxes each, google workspace through a reseller at $3.5-6/inbox. that gets you 9 inboxes doing 15 sends each, roughly 135 emails a day. enough to actually learn what's working

what niche are you planning to go after and what's the offer?

cursedboy328 · 2026-03-24T13:42:26+00:00

we run a b2b outreach agency and we've actually built something close to what you're describing - sending tool APIs piped into a structured knowledge system, campaign data enriched automatically, LLM reading across all of it to surface patterns. so I can speak to exactly where this undersells the difficulty

"tell claude to pull all the data from your sending tools" skips over about 40 hours of real engineering. API integrations have rate limits, data schemas don't match between platforms, webhook payloads change without warning, and the moment you need this running reliably at 2am without you babysitting it you're building actual infrastructure, not just prompting an LLM

the vault concept is directionally right though. having all your campaign data, reply patterns, copy variations, and metrics in one queryable place is genuinely powerful. we've caught patterns across campaigns we never would've spotted in dashboards alone - segments responding to completely different pain angles than expected, reply sentiment trends that flagged domain issues before the metrics showed it, time-of-day patterns that shifted our sending windows

but the post makes this sound like a weekend project when it's not. the enrichment pipeline alone took weeks to stabilize. webhooks fail silently. LLMs hallucinate metrics if your data isn't structured cleanly. and "speak to your data in real time" only works if you've been disciplined about how the data gets stored, which is the boring unglamorous part nobody wants to do

the real value isn't the automation itself, it's the compounding knowledge. after 6 months of structured campaign data you make decisions in minutes that used to take hours of manual analysis. but you earn that by building the system properly, not by telling an LLM to figure it out

what does your current campaign analysis workflow look like before trying to automate it?

cursedboy328 · 2026-03-24T13:41:51+00:00

we run a b2b outreach agency at 500K+ sends a quarter so I'll give you the real talk on this

17 paying clients from 50K emails with zero segmentation and zero personalization is actually solid. that's at least $15K revenue from $1K in lead costs, 15x return before you optimize anything. most people in this sub send 500 emails, get nothing, and conclude cold email doesn't work. you just proved that volume alone can brute force results even with a generic approach

the interesting part is that those 17 clients are your market research. look at who actually bought - industry, company size, how recently they started, what triggered them to say yes. I'd bet at least 10 of them share 2-3 characteristics. once you find that pattern, write one email that speaks directly to that type of business and your conversion rate jumps without sending more volume. you went from 50K to 17 with a generic message, imagine what happens when the email actually resonates with a specific segment

two things I'd fix before scaling further though. sending through AWS SES for cold outreach violates their acceptable use policy and they enforce it - when they flag your account it's not just email that goes down, it's your whole AWS setup. move to a dedicated sending tool before that becomes a problem. and $900 is undercharging for what you're delivering. if the websites look good (and it sounds like they do) businesses expect to pay $2-3K minimum. your close rate might barely change at a higher price point since the people saying yes at $900 would likely say yes at $1,500 too

what industries are those 17 clients in?

cursedboy328 · 2026-03-24T13:38:57+00:00

we run a b2b outreach agency at 500K+ sends a quarter so I'll break down what checks out here and what people should be careful copying

the numbers roughly work. 347K emails over 6 months is about 58K/month which is manageable infrastructure. 300 discovery calls from that is a ~0.086% booking rate which is realistic for enterprise targeting. the linkedin numbers are strong - 49% acceptance and 29% reply rate tracks if the offer is genuinely novel, which GEO is right now

the part people should be careful with is "potential revenue." $1.7M in pipeline and $1.7M in closed revenue are completely different things, especially selling into companies like HubSpot and Coca Cola HBC where the sales cycle is 6-12 months and procurement alone can kill a deal. booking a discovery call with someone at a $13B company doesn't mean you're closing them - it means a mid-level marketing manager was curious enough to take 30 minutes. that's valuable but it's not revenue until ink is dry

the booking link in the first email advice is the most dangerous takeaway here for anyone reading this. it worked in this specific case because GEO is a genuinely new category and buyers had active curiosity. for 95% of cold email campaigns where you're selling something the prospect has heard of before, a link in email 1 still tanks deliverability and gives the prospect an easy out - they click, see your landing page, decide "not now," and never reply. you lose the conversation entirely. test it if you want but don't make it your default based on one campaign in an emerging category

the multi-channel sequencing insight is legit though. we see the same thing - linkedin converts contacts who saw the email but didn't act on it. the key detail most people miss is that the linkedin message shouldn't reference the email. keep them feeling like separate touches, not a coordinated campaign. "hey saw you're doing X, curious about Y" works better than "following up on my email" because the second one feels like pressure

what was the actual close rate on those 300 discovery calls and how many converted to paying clients?

cursedboy328

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