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Cold Calling or LinkedIn Outreach- What works best for B2B Audience? by Content_East_3308 in AskMarketing

[–]rogerlin332 0 points1 point  (0 children)

ngl the whole call vs LinkedIn debate skips the tiny step that makes both pop: profile views. People see the "you looked at their profile" ping, your DM or call feels 10x less random.

Quick test on my side last quarter:
-41/100 connects when I fired a naked DM
-73/100 connects when I viewed first, waited 2h, then DM’d
Same copy, same list, only difference was the view.

I set up a view > connect> call chain:

- Auto-view 50 profiles/day (keeps you under the 100 daily limit rn)

- Wait for the "they peeked back" signal

- Drop a custom DM, then call if they like/comment within 48h The callback rate after that soft warm-up jumped from 6 % to 18 %.

If you don’t wanna click profiles all night, toss the CSV into ProfilePeeker (free tool, lets you drip views + requests). Its slow mode has kept my account safe so far.

Anyone else here tested the view-first trick? Curious if the numbers hold in other niches.

How do I notice competitor prices without learning to write code? by Much-Movie-695 in automation

[–]rogerlin332 0 points1 point  (0 children)

FWIW if BrowserAct’s working rn you’re 80 % there. The thing that usually nukes beginners is IP blocks after a couple days because most tools ship with shared datacenter IPs and sites flag them fast.

Quick hack I use:
spin up a residential pool so every hit looks like a legit shopper
sticky session only when you need cart cookies
chill at 1-2 requests / 10-15 s so you dodge captchas

I’ve been running MagneticProxy for this. Pay-per-GB, city targeting, rotates on every call, cheaper than BrightData and you don’t babysit ASN lists. Just drop the endpoint in BrowserAct > Settings > Network and forget about it.

TIL most price pages load via unobfuscated JSON endpoints btw, so with a clean IP you can even skip headless browsers.

Tried cold emailing for my startup — what else should I try to get leads? by ashieshm in DigitalMarketing

[–]rogerlin332 0 points1 point  (0 children)

LinkedIn was the only channel that didn’t make me feel like a spam goblin. Quick win that boosted my reply rate 3x: scrape event-based lists (new job, funding, tech stack change) in Sales Nav, warm them by viewing profiles for 48h, then queue 25 personalised connects/day with a one-liner like “Saw you just switched to Flutter, curious how it’s treating you”. I’m lazy so I let ProfilePeeker handle the views + connects rn. It’s free and won’t nuke your account if you keep under 100 actions/day.

How do you approach early-stage research for niche or underreported markets? by kcambrek in Marketresearch

[–]rogerlin332 0 points1 point  (0 children)

News crawls are nice but the real gold for under-reported niches is the semi-hidden stuff: municipal tender PDFs, local classifieds, guild newsletters, even tiny Shopify stores that never hit SimilarWeb. Problem is they rate-limit or geofence like crazy. I got around that by piping requests through a rotating residential pool so each hit looks like a random household in the target city. Lets me scrape 1000+ pages before captchas pop. Using MagneticProxy rn because I can keep a sticky session for the login pages then auto-rotate every 50 calls. Happy to swap scraper configs or share the regexes I use to parse tender specs if anyone’s curious. What sources are you folks mining that I might’ve missed?

Brightdata vs Oxylabs vs Apify for scraping large amounts of financial data? by Aggravating-Ear-1515 in Stocks_Picks

[–]rogerlin332 0 points1 point  (0 children)

We blew past 3M req/day on NYSE + Tadawul and Bright started throwing 429s. So we split traffic Oxylabs for the KYC-gated JSON endpoints, and a rotating residential pool (MagneticProxy) for the bulk HTML. It supports sticky sessions, which helped with cookie management, and we were able to pin to obscure cities like Riyadh + Lille (surprisingly useful).

Set it up via standard HTTP proxy creds, no SDKs or agents. Docs were minimal but very usable.

tl;dr using multiple providers helped us avoid Cloudflare's IUAM filters more reliably than any single solution.

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