r/gtmengineering

Most platforms I've evaluated have a version of account history but when you dig into it the intelligence doesn't really persist in a meaningful way. Campaign ends, the account context resets. A rep leaves, the signal history goes with their activity log. You run a new sequence six months later and the platform treats the account like it's never been touched. I am looking for a platform where account intelligence compounds over time. Every signal, every engagement, every buying committee change accumulates into a profile that gets more useful the longer you're on the platform, not one that resets every time you change a campaign or a rep moves on.

Came from RevOps, spent the last few years going deep into GTM engineering. I build outbound systems, enrichment waterfalls, Clay workflows, AI agents, data pipelines, n8n, Smartlead, Claude Code, Supabase. I can also deploy and ship things end to end.

Looking to get my hands on real problems. If you are building something or stuck on something, DM me. Happy to help for free.

So it's been a hot topic of discussion in the past few weeks within my network and we all are coming to the same conclusion. "GTM Engineers" are becoming super saturated as Clay is becoming easier to use by the day.

The step comes when being able to use Claude Code and do much more with AI.

What do you guys think, are GTME'S becoming old news and is AI Growth Engineers becoming GTME 2.0?

Looking for guidance on how to handle emails. Imagine this situation

- enrichment says email is: x@company.com

- prospect form fills on website: b@gmail.com

- later on prospect requests demo: xy@company.com

I keep running into situations where I have personal emails muddled up with work emails and then work emails from enrichment tools mixed up with user submitted work emails. I'd like to not have 1 CRM field per diff email source and then create one "parent" field? but that is increasingly feeling the cleanest. Curious what others think

Looking for a GTM to help/consult on a project. We have 250,000 small business type companies in our db, name and address only, need to find decision makers with verified mobile numbers and emails. Only getting a 40% success rate atm, we’d like 75%.

Many of them won’t be on Apollo, Prospeo etc.

Hi I have enterprise AI products which I want to sell to mid-market and enterprise US customers. Leadgen is still possible but cold calling seems like it doesn't work - people are either not answering or not interested (we are using a twilio number to call), linkedin is not adding a lot of value (very slow) and therefore want to understand what would be a good way to do GTM (Product is voice ai for the sales/calling teams and will probably be evaluated by the Client's Engg teams as well).

I understand that voice ai is crowded, but still very interested in enterprises/midmarket GTM playbooks (if not for this product, then something else later)

How have you made this work.

What are the best resources to learn gtm through ?
Are cohorts/ courses really necessary , pls help me understand , if there are gtm engineers here your advice would be really helpful .

Hey,

So we’re building an AI-native GTM agency (I like saying team, less pushy) and I have no experience in GTM engineering, but I have in outbound and sales and I have an incredible technical team of AI and software engineers and a co founder beside me as we build the internal agent that will handle most outreach.

We will be targeting a very specific ICP in B2B SaaS

Where do I start? Is it too saturated to jump in every founders inbox and pitch “15 meetings or you don’t pay”

Maybe when it comes to GTM engineering teams it’s a different type of offer?

I’m looking to make a very strong offer where it’d be difficult for them to refuse

I thought of small set up fee + rev share? Pay per qualified demo we get?

Would appreciate some insights from you guys

I’m 8 months into my GTM engineering journey and just signed my fifth paying customer. Looking back at the first 90 days I spent a lot of time building things that didn't matter and almost no time building the infrastructure that actually runs my GTM motion now.

Giving back to the community and for some good karma :) here's what i would do differently starting Monday if i had to start all over again:

Record every single call. i didn't start recording and reviewing calls until month 4, which means i had zero transcript data on my first 30 conversations. Those were the most important conversations i had with early prospects. Buildbetter went in at the end of month 4 and should've been day 1. The compounding effect of reviewing 30 calls worth of transcripts versus 0 is not small, I can tell you that.

Build the automation layer before you need it. i built relay into my stack in month 3 when things started slipping through the cracks. By then i had already lost at least two deals to follow-up lag. The automation should be there before you have enough pipeline to need it and building it under pressure means building it badly.

Have a prioritization model before you have accounts to prioritize. This sounds backwards but it isn't. I spent the first 3 months treating every account in my pipeline with roughly equal energy. Yalc forced me to build a scoring model i should've built on day 1 with fake accounts and no data, then refined it as real signals came in.

Now i have to say what i actually spent week 1 doing lol. I was obsessing over a website and rewriting positioning docs over and over again. I optimized for things that felt like building a company instead of things that would tell me whether i had a company worth building.

Infrastructure built late costs more than infrastructure built early because you spend the middle months flying blind.

if you're in the first 60 days of a GTM motion, i would genuinely prioritize these over almost everything else including the pretty website.

Has anyone gone through something similar? How were your early GTM days?

Which plugins/connectors/etc have you used with Claude Code that you really like? If you haven't installed any, what about MCP Servers that you have used?

Hi,

B2B sales company here. Looking to send 4-500K cold emails per month with personalized copy based off of leads website. We have a vendor that we are currently using but not thrilled with their overall lead lists and ability to accurate scrape data.

Pls dm me if you can help and have a proven track record.

Went this year specifically trying to get a read on where the GTM agent platform category is actually at versus what's being marketed. Mixed bag as usual but a few conversations were interesting.

The main stage stuff is largely what you'd expect. The signal was in the side dinners and smaller gatherings where people are actually talking about what's working in production versus what's still in pilot. If you go next year skip trying to work the expo floor and just get on the right guest lists.

I talked to a few teams doing interesting things. One had built a pretty sophisticated custom signal stack in n8n, an impressive setup but they were spending more time maintaining it than using it. Another team was deep into 6sense and had good things to say about the intent modeling. A third was running clay for enrichment but had a dedicated gtm engineer basically living in it full time which most teams can't sustain. Also had a really good conversation with the tapistro team at one of the dinners. I have been evaluating tools in the signal aggregation space for a while and that was one of the more honest conversations i've had with a vendor. They weren't pitching, they were actually talking through where the category is and what their approach is to the multi-source signal problem.

Overall it was a great experience, I enjoyed talking to all of these teams!

Been working on a DIY signal routing setup for the past few months. The idea was to use claude agents to pull from G2, linkedin ad engagement, and site visitor data, correlate signals per account, and push a prioritized list into salesforce daily. Worked fine in testing but fell apart in production.

The problems that stacked up were pretty consistent. Source APIs change without notice and the agent just silently stops pulling from that source. State tracking across accounts is messier than expected when you're running hundreds of them. None of these are unsolvable but the cumulative maintenance tax started to feel like a second job on top of the actual GTM work we were trying to do.

if someone had shown me this post eight months ago i would have saved about 6 weeks of my life and probably my credibility with our VP of sales.

ok so context. i joined as the rev ops lead at a series A company last march. background is data analytics, not sales, which matters because my instinct when something breaks is to look at the data pipeline not the copy or the strategy. the SDR team was 4 people, they were sending through Inst͏antly across about 12 inboxes warmed up on Mail͏doso, and the whole enrichment flow ran through Cl͏ay into Sales͏force. on paper it looked fine. the sequences were written by someone who actually knew what they were doing, subject lines were tested, personalization was decent. but reply rates were sitting at like 0.4% across the board for almost two months straight.

everyone assumed it was the copy. the SDRs rewrote sequences three times. our head of sales brought in a consultant for $2,800 to audit the messaging. the consultant said the copy was "serviceable but could be tighter" and recommended a bunch of changes that... also didnt move the needle. we were burning through about $1,900/mo on tooling alone (Clay, Instantly, Maildoso, Never͏Bounce, plus a Sales Na͏vigator seat) and getting maybe 2-3 meetings a month total across the whole team. for a series A trying to hit pipeline targets that was borderline catastrophic.

by late may i finally started looking at the actual data instead of trusting the pipeline everyone told me was working. pulled a random sample of 200 contacts from our last 3 campaigns and started manually checking them against LinkedIn. this is where it gets embarrassing. roughly 35% of the contacts were either at the wrong company, had a stale title, or the email was just... not theirs. not bouncing, mind you. NeverBounce was passing them as valid. the emails existed, they just belonged to someone else or were generic aliases that got routed to a shared inbox somewhere. so our bounce rate looked fine at around 3.1% but we were emailing the wrong humans.

it took me almost three weeks to figure out where the data was breaking. the issue was upstream of everything. our enrichment step in Clay was pulling from a waterfall of sources and the priority order was wrong. it was grabbing the first email it found regardless of confidence score, and for a lot of contacts that meant catching an old work email from 2 years ago or a personal gmail that happened to be associated with their LinkedIn. the data looked clean on the surface because the emails were technically valid. they just werent the right ones.

once i actually understood the problem i rebuilt the enrichment flow over about two weeks in june. stripped out the waterfall approach and started running contact lists through Pro͏speo for the email finding step instead of relying on Clay's built in waterfall. the difference was immediate and kind of infuriating because it meant we'd been wasting months. email accuracy went from whatever mess we had before to around 83-84% verified correct contacts when i spot checked against LinkedIn, and our bounce rate dropped from 3.1% to about 1.4%.

the downstream effects showed up fast. by mid july reply rates climbed to 1.8% which still isnt amazing but compared to 0.4% it felt like a different universe. meetings went from 2-3/mo to about 9-11/mo. same copy. same SDRs. same Instantly setup. same inboxes. literally the only thing that changed was who we were emailing.

the part that still bugs me is how long it took to diagnose. i spent weeks looking at deliverability metrics, inbox placement, warmup scores, all of that. none of it pointed to the real problem because the real problem was data quality at the enrichment layer and it was invisible to every downstream metric. bounce rate said we were fine. spam scores said we were fine. the emails were landing in inboxes, they were just landing in the wrong inboxes.

our current flow is pretty simple now. Sales Navigator for building the initial list, Clay for firmographic enrichment and some basic filtering, Prospeo handles the email finding, NeverBounce for a final verification pass, then into Salesforce and Instantly picks up from there. total monthly spend is around $1,700 which is actually less than before because i dropped one of the Clay credit tiers we didnt need anymore and Prospeo runs us about $99/mo on the plan we're on. only real complaint with Prospeo is bulk processing can be a bit slow when we're pushing 2000+ contacts through at once, but its not a dealbreaker since we batch things weekly anyway.

the lesson i keep coming back to is that nobody on the team, including me for way too long, thought to question the contact data itself. we all assumed enrichment was a solved problem because the tools said the data was good. the tools were technically correct, the emails existed, they just didnt belong to the people we thought we were reaching. and that distinction doesnt show up in any dashboard i know of unless you go manually check.

anyway if your reply rates are terrible and youve already optimized copy and deliverability and warmup and all that... maybe go pull 50 contacts and actually look them up on LinkedIn. might save you a $2,800 consultant fee

I’m looking for a good contact enrichment tool focused on the DACH region.

Most tools I tested have weak coverage for Germany/Austria/Switzerland, especially for direct phone numbers and mobile numbers.

Current setup:

• Using Mailchimp
• No CRM yet
• Working mostly from CSV uploads
• Want a weekly enrichment/update workflow

What tools are actually working well for DACH data quality?

Would especially appreciate recommendations for:

• Phone/mobile enrichment
• GDPR-safe providers
• CSV + recurring enrichment workflows

Tried a few popular tools already but results have been pretty inconsistent.

I want to be excellent at outbound and I think I am average so far.

Right now I run campaigns for a client and myself (to get more clients) but what is the edge that makes people awesome at GTM?

I kind of stumbled onto GTM because I did cold email outbound and I get consistent results but I am not amazing. Same with Linkedin DMs too.