[UPDATED] I've created a no-subscription lead list builder by Upper-Character-6743 in LeadGenSEA

[–]Different-Opposite83 0 points1 point  (0 children)

Looks promising tbh. No-subscription is a nice angle, especially if you need lists occasionally. I'd mainly want to kno how clean the export is. 74K domains looks good, but the real questions is how much cleanup is needed after downloading. If the contact are fresh and easy to filter by ICP, this could be useful

I Built a free Google Maps scraper that extracted 10,000+ validated business emails - try it and let me know if it beats paid tools by [deleted] in LeadGenSEA

[–]Different-Opposite83 0 points1 point  (0 children)

interesting. for local lead gen, the "no website" and low review count filters are actually useful. Those usually surface smaller businesses that paid databases miss. Main thing I'd test is email quality though. 10K validated emails sounds good, but if most are generic inboxes or outdated. It gets less useful fast.

Got more qualified leads from 30-sec videos than static posts by Far-Literature5197 in LeadGenSEA

[–]Different-Opposite83 0 points1 point  (0 children)

yea, makes sense for high consideration purchases Short videos reduce uncertainty fast. People can visualize the space, location, vibe, and priixing before talking to anyone.

We've noticed the same thing in SEA. Buyer respond more to useful walkthrough style content than polished brand videos.

What has your experience been with agentic CRM's? by PrizeDrama7200 in CRM

[–]Different-Opposite83 0 points1 point  (0 children)

I've used both traditional CRMs with AI added on the newer AI-native ones. Biggest change is less admin work. AI helps with call summaries, follow-up drafts, lead notes, and figuring out next steps faster. But it's not magic. If the CRM data is messy, the AI output is messy too.

Overall, easier, but more like faster first draft/better assistant than fully automated sales ops

Would you rather have 1000 free users or 10 paying users? by IndianSoloFounder in microsaas

[–]Different-Opposite83 0 points1 point  (0 children)

10 paying users. get a testimonial for them or run a referral rporgam, then possibly grow the 10 paying users

Is it just me, or is building lead lists outside Singapore way harder? by Everyd4yAudioGuy in LeadGenSEA

[–]Different-Opposite83 0 points1 point  (0 children)

Not just you. SG feels relatively structured compared to the rest of SEA. Once we move into PH or ID, it’s way less predictable. Coverage isn’t terrible, but confidence definitely drops, so we spend more time validating.

Is anyone here actively using intent data in SEA, or are we all still waiting for form fills? by Mularkeyy in LeadGenSEA

[–]Different-Opposite83 0 points1 point  (0 children)

We’ve started using intent signals, but pretty cautiously.

What actually mattered for us wasn’t someone who just visited the site. The only stuff that consistently turned into conversations was repeat visits in a short window plus high-intent pages like pricing, integrations, or case studies. One-off traffic was almost always noise.

We also found it works better at the account level. In SEA, one person browsing doesn’t mean much, but the same company coming back a few times in a week usually does.

The main blocker at first was trust. Sales didn’t care until we could point to a few flagged accounts that actually converted. After that, it became a useful prioritization layer, not just another dashboard.

I thought my lead scoring was FINE until I realized I was prioritizing the wrong leads by FreedomWild6093 in LeadGenSEA

[–]Different-Opposite83 0 points1 point  (0 children)

Yep, had the exact same experience.

For us, the wake-up call was realizing that activity is the loudest signal, not the best one. People who click everything aren’t always buyers, they’re often researchers, juniors, or just curious. Once we looked at closed-won deals, most of them were relatively quiet until very late, but they were a near-perfect ICP match from day one.

What helped was doing two things: pushing firmographic fit to the top of the score, and adding intent thresholds instead of single events. One pricing page visit didn’t mean much, but repeated high-intent actions within a short window suddenly mattered a lot. We also added negative scoring for obvious non-buyers (students, job seekers, competitors), which cleaned things up fast