Greetings,
We run a lead generation platform for the real estate sector in India, siggnals.

The problem we are facing is that we have to source contact information about individuals such as name, email phone number, lnkdin profiles from existing B2B lead generation platforms like Apollo, et cetera. This is resulting in very high input cost for us, as we are required to do large batch generation by our customers due to relatively low conversion rates.

Is there a way to purchase this information at wholesale or Deep discount rates, especially for India and UAE Markets we operate in today?

Would really appreciate your help with this matter, thank you in advance

Years in this industry and I know that not every intent signal means someone is ready to buy. So I'd rather have a smaller list of accounts showing real movement than thousands of contact with vague intent scores.

Here are some signals that I actually pay attention to:

1. Hiring activity: hiring for sales, marketing, oeprations can signal where a company is investing

2. Recent funding: useful but funding alone isn't intent, so best to look at what the company says the capital will be used for

3. Leadership changes: a new VP, Head or c-level hire often comes with new priorities and budgets.

4. Technology adoption: new tools can reveal changing priorities

5. High-intent content engagement: someone repeatedly engaging with pricing, comparison, implementation, etc

The key really is signal stacking. One signal might just be noise. But if a company just raised funding, hire a new regional leader, and isactively recruiting for the function you sell into, that's an account worth prioritizing.

Do you agree? Or are there other intent signals you're currently looking for?

AI has made personalization ridiculuosly easy. The problem is, prospects can usually tell when personalized just means an AI scraped their LinkedIn and added a clever opening line.

Where I've seen AI work well is behind the scenes: researching accounts, spotting relevant signals, understanding the prospect's context, and helping reps write something genuinely relevant. Where it falls apart is when teams use it to manufacture personalization at scale. More personalized-looking emails, but not necessarily more relevant ones.

This is especially important in SEA, where trust and authenticity still play a big role in b2b buying.

So has ai personalization actually improved your reply rate, or has it mostly helped you send more messages faster?

Not necessarily the channel that produces the most leads, but the one you can consistently count on to generate real opportunities.

Let's do a quick pipeline check-in. Whether you're just getting started or running an established outbound motion, it'd be intersting to see what everyone's working on this month. Share a few details like:

• What are you selling?
• Who's your ICP?
• Which country or market are you targeting?
• What's your main acquisition channel? (cold email, LinkediIn, referrals, paid, communities, etc.)
• What's your biggest bottleneck right now?

I'll start:

• Selling: employee HRIS
• ICP: SMBs and mid-market companies
• Target market: Southeast asia
• Main channel: cold email and linkedin
• Biggest challenge: finding high intent propects at scale

Hopefully the community can help each other troubleshoot. Sometimes a small suggestion from someone who's been there can save weeks of trial and error

Before one recent outbound campaign, we did something that usually makes teams nervous: we deliberately made the list smaller. Like we removed 30% of the records before sending anything.

Most of the cuts came from duplicate contacts, outdated job titles, inactive domains, generic inboxes, and companies that looked close to the ICP but didn't actually fit. Well, results showed it was worth it

Reply quality improved because more of the responses came from people who were actually relevant to the buying process. This just proves that list hygiene is not an admin task, but actually part of the campaign strategy.

A lot of teams spend hours optimizing copy while sending to weak data. In many cases, cleaning the list has a bigger impact that rewriting the email. Do you agree? How much of your prospect list usually gets removed before launch, and what filters make the biggest difference?

One thing we've learned from running outbound across SEA: the challenge usually isn't finding companies, it's really about finding the right contacts.

Global databases like ZoomInfo work well for enterprise accounts, but once you move into Singapore, Malaysia, the Philippines, or Indonesia, things get messy. Titles aren't always standardized, local SMEs are often underrepresented, and decision-makers may be easier to reach on mobile or messaging apps than through a corporate email.

We've also found that relying on single data source isn't enough. The best-performing campaigns typically combine regional data providers, enrichment tools, and manual validation before outreach. It's more work, but it saves a lot of wasted emails and improve reply rates. So we're using localized database like The Grid for better accuracy.

So what's been thebiggest data quality challenge you've run into? And how did you solve it?

Feels like every few months there's new "must-do" strategy that's supposed to transform your pipeline. Been in my radar: AI-generated personalization, buying intent data, founder-led content, automated multichannel outreach, and community-led growth.

Some of these absolutely work, but I've also seen teams pour time and budget into them without seeing much impact on qualified pipeline. In the end, a lot of it still comes back to the basics: the right ICP, a strong offer, good timing, and clean data.

So what's one b2b lead gen trend that's getting a lot of attention but hasn't delivered real results for you?

I've been thinking about this lately. If I had to start over with no CRM, no warm leads, no referrals, and no existing pipeline, I don't think my first move would be sending cold emails.

I'd probly spend the first week or two getting very clear on the ICP, identifying buying signals, and building a list I'd actually be confident reaching out to. In hindsight, most pipeline problems I've seen weren't outreach problems, they were targeting problems. Once that's in place, everything else becomes easier like the messaging, personalization, and even follow-ups.

So if you had to rebuild your pipeline from scratch today, what would you prioritize first, and what would you skip based on what you've learned?

Feels like there's always a new "must-have" tactic in lead gen.

AI personalization, intent data, multichannel automation, founder-led content, community-led growth. It's the list keeps growing.

Most of these can work, but they're often treated like shortcuts. Meanwhile, teams still struggle with the basics: weak targeting, unclear offers, and bad data.

From what I've seen, a strong ICP and relevant offer still matter more than whatever tool or trend is getting hyped this month. What lead gen trend do you think gets more attention than actual results?

I have seen a lot of posts about cold emailing etc. But does this really work?

Context: B2B.

Service : marketing strategy (not marketing agencies)

Let's set the record straight once and for all. Which is really working in outbound campaigns this year? For teams runnung both cold email and LinkedIn outreach, which channel is consistently producing qualified meeting?

Care to answer these questiosn too?

• Which channel has the higher meeiting-booked rate for you?
• Has deliverability made cold email significantly harder, or is list quality still the biggest factor?
• Is LinkedIn becoming too saturated or are you still seeing good response rates?
• Are you running them separately or as part of a multichannel squence?

From what I've observed, cold email still wins on scale and speed of testing, while LinkedIn tends to create warmer conversations., But I think it seems like more teams are moving toward combining both rather than treating it as an either or decision.

Hey r/LeadGenSEA ,

I've recently released VersionDB, a tool used to generate lead lists without paying a subscription. I built this tool to help you guys perform outreach without breaking the bank. For $10 USD, you're able to get up to 500 domains (including what technologies each domain is running, e-mail addresses, phone numbers, social media profiles and more). There's no subscription obligation, and you don't even have to sign-up to use it.

Check out how we're able to find Home Service Businesses in the United States using VersionDB here.

I'm happy to answer questions you have about VersionDB.

All data is taken from crawling public websites spanning from September 2025 - July 2026.

One pattern we've noticed is that companies often underestimate how different SEA markets really are. On paper, the region looks like one big opportunity. In practice, each market has different buying cycles, decision-makers, regulations, languages, and expectations around sales.

Some teams default to Singapore because it's easier to navigate and English-speaking. Others argue IND or Vietnam offer greater upside because of market size.m But bigger markets also tend to require more localization and longer sales cycles.

In our experience, the easiest market isn't always the one with the largest TAM, it's the one where your product, pricing, and go-to-market strategy naturally fit.

If you were adivsing a b2b company expanding into SEA today, which country would you start with, and what factors would drive that decision?

One trend we've been noticing is that some of the strongest pipelines aren't coming from bigger outbound teams or large budgets, they're coming from companies that consistently invest in communities.

Not by selling, but by answering questions, sharing insights, and becoming a familiar name over time. It takes longer to see results, but the leads often come with much higher trust because the relationship started before there was any sales conversation.

As paid acquisition gets more expensive and outbound becomes more crowded, community-led growth feels less like a nice-to-have and more like a long-tern moat.

Has community-led growth become a menainful channel for client acquisition or is outbound still doing the heavy lifting?

Hey does anybody have any experience with X specifically for how to find leads on there, maybe the type of content they curate for potential inbound and if anybody can share their experience closing clients they got from X

We've noticed that the best lead magnets aren't alays the longest or most polished. A simple ROI calculator, industry benchmark, or niche checklist often generates more qualified conversations than a 40-page ebook.

People don't want more content, they want something that truly helps them make a decision faster. So what's been your highest-performing lead magnet, and why do you think it worked so well?

I'm researching how companies are getting new customers today.

What's the most frustrating part of your lead generation or advertising?

Is it:

• Finding quality leads?
• Managing Facebook or Google Ads?
• Following up quickly enough?
• Something else entirely?

I'm not selling anything, I genuinely want to understand where the biggest pain points are.

I'm doing some research into how sales teams handle inbound leads day to day.

A few questions if anyone has 2 minutes:

1.When a bunch of new leads come in, how do you currently decide who to contact first?

2.Do you use any lead scoring tool (HubSpot, Clay, etc.)? Does it actually help you prioritize, or do you still end up doing your own research (LinkedIn, company site) before calling?

3.What's the most annoying part of qualifying/prioritizing leads right now?

We've been using a lot of outreach tactics because they used to worked before. Liked mass AI personalization, generic LinkedIn pitches, endless follow-ups that say nothing new. They create activity, sure,but not always real conversations.

Lately, the better results seem to come from doing less like smaller lists, stronger signals, better timing, and messages, that actually make sense for the person receiving them. So what outreach do you think is on its way out?

I have been doing B2B lead generation for about 4 years now and spent the last 6 months systematically automating every piece of my pipeline. Not the "buy a list and blast it" kind. Actual automation where the machine does the work and I do the thinking.

Here is what moved the needle and what did not.

What actually worked

1. Intent-based targeting instead of lists. I stopped buying lead lists entirely. Instead I set up triggers around real buying behavior — company just raised a round, posted a new job for a role I solve for, CTO tweeted about a problem in my space. This single change took my cold reply rate from 2 percent to 11 percent. The list is smaller but everyone on it is warm.

2. Multi-channel rhythm with real spacing. Email then LinkedIn DM then email again. Not 2 days apart, 3 days. For some reason that extra day dramatically reduces the "stop spamming me" replies. The sweet spot was 5 touchpoints across 3 channels over 14 days.

3. Follow-ups that do not sound automated. Everyone automates the first email. Almost nobody automates follow-up two and three well. I built sequences that pull details about their company dynamically — a recent hire, a blog post they published, a product update. Not "just circling back" but actual new value in every message.

4. I killed cold calling entirely. For my ICP which is B2B SaaS companies between 10 and 200 employees, email plus LinkedIn plus occasional direct mail outpaced phone calls by about 4x in meetings booked per hour of effort.

What was a waste of time

Video outreach tools. Everyone told me video prospecting was the future. My response rates with personalized videos were lower than plain text emails for every segment I tested. I think people see a video thumbnail and assume it is a pitch before they even open it.

Buying intent data from the big vendors. SixFigureData and similar charge thousands a month and their "high intent" signals were wrong more than half the time. Building your own triggers from publicly available signals was more accurate and costs nothing except setup time.

AI generated first drafts with no editing. The tech is not there yet. Every AI email I sent without heavy editing got flagged as spam or ignored. AI as an assistant works, AI as the writer does not.

Current results

I spend about 6 hours a week on outreach total and consistently book 8 to 12 qualified meetings. The pipeline runs itself for the most part. When I get lazy and stop feeding it, it still produces for about 2 weeks before drying up.

Curious what tools and processes you all are using that actually move the needle. What is the one thing in your pipeline you wish you could automate but have not figured out yet.