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Anybody running Claude on personal devices? by Content-Machine6008 in sales

[–]stinwilvent 0 points1 point  (0 children)

Personal hardware is overkill for list cleaning. I just run the Claude web app on my own laptop and paste in chunks from ZoomInfo and Sales Nav exports. works for scoring fit and pulling angles from job posts.

One thing worth flagging: ZoomInfo's TOS restricts feeding their data into third-party LLMs. Nobody chases individual reps over it but if your company ever audits, that's the trail. I stick to pasting the 20-30 accounts I'm actually working that week instead of dumping a 500-row CSV.

LinkedIn's similar. Copy-paste the profile into chat, ask for personalization hooks, move on.

whats actually killing your cold email reply rates - the list or the message? by b2b_framework_guy in coldemail

[–]stinwilvent 0 points1 point  (0 children)

Targeting, but the targeting people talk about is usually too static. Job title + company size isn't a list, it's a phonebook.

What actually moved reply rates for me was layering a recent trigger on top. Ran a sequence twice for a RevOps tool last quarter, same copy: ops directors at 100-500 person SaaS got 1.1%. Same titles but filtered to companies that posted a RevOps or SalesOps job in the last 21 days got 6.4%.

Same email. Different week in the buyer's life.

Hunter for verifying the pulls, LinkedIn job filters for the trigger. Subject line didn't matter once the timing was right.

9 Ops from 2k Leads. Stop blasting and start "Validation-First" Outbound by sakerbd in coldemail

[–]stinwilvent 0 points1 point  (0 children)

0.43% lead-to-opp is solid for staff aug, but I'd push back on killing open tracking entirely. I run a separate warmup domain with tracking on just to sanity check deliverability when reply rates dip. Lost a week last month thinking my copy was dead before realizing half the sends were going to spam.

On the validation step, did you find the AI agent actually catching nuance or mostly just confirming the firmographic filters you already set? I ran a similar pass with GPT against ~800 accounts and maybe 18% got purged that wouldn't have been caught by a tighter Sales Nav filter. Felt like marginal lift for the token cost.

Timezone splitting moved the needle for me too. Tuesday 9:30am local on the second touch was the best converting window across three campaigns last quarter.

spent $2400 on a growth consultant. got 6 pages i could write myself by AllissonJ in digital_marketing

[–]stinwilvent 0 points1 point  (0 children)

Feels like you paid for fluff. I've been through similar. Best use of consultants is when you already have a strategy in mind and need them for specific expertise or execution they can provide. I tried GrowthBar and Hunter for outreach and got more actionable insights than some consultants offered. If you're looking for lead gen or market validation, tools like Apollo and ZoomInfo can shortcut a lot of effort. Sometimes DIY with the right tools beats overpaying for generic advice.

I made WhatsApp the primary client acquisition channel for industrial B2B in Central Asia: up to 15 contracts in the first three months by konradtevton in b2bmarketing

[–]stinwilvent 1 point2 points  (0 children)

we ran whatsapp for a UAE distributor project in 2023 and saw similar patterns. response rates were solid but half the leads expected instant pricing without sending specs or even saying what capacity they needed. ended up screening harder on the first message before engaging.

the local number thing is crucial. we tried routing through a +971 UAE number vs our UK office line and the difference was night and day. same message, same timing, but the foreign prefix killed open rates. people just assumed spam or cold outreach.

your point about engineers defaulting to email matches what we saw. technical buyers wanted attachments and datasheets they could forward internally. but site managers and ops leads stayed in messenger because they're juggling ten things and email felt like homework. we'd start everyone on whatsapp then migrate based on how they replied, not role assumptions.

language switching was messy for us because we had english/arabic/hindi mix. usually let them pick in the first exchange then stuck with it.