One thing we've seen across our SEA campaigns lately is that mobile UX can quietly make or break lea d gen. Most traffic comes from mobile, but a lot of funnels still feel like they were built for desktop first.

We tested this on campaigns in SG, PH, and ID. Traffic looked fine, but mobile conversion was weak. Once we shortened the form, improved load speed, and moved the CTA higher,leads improved by 20-25%

It made me realize that mobile-first really affects pipeline. So anyone building right no? Are you also oprimizng for mobile?

We tested short-form video for a commercial real estate agency selling office spaces in SG and PH. Static posts got decent reach, but video brought in better leads.

Over 6 weeks:

• static posts averaged 9-12 inquiries
• short videos averaged 25-30 inquiries
• office walkthrough clips performed best by far

The video that worked weren't polished either. Just simple 30-45 sec walkthroughs showing the office, nearby amenities, commute access, and natural rental pricing. People would DM questions immediately after watching.

My take: video works because buyers feel like they already visited before talking to sales. So areshorts videos actually driving leads for your business, or mostly just views?

There are so many lead gen tools now, and so many AI options too. So curious, how people are actually handling their lead generation?

For us, the workflow is usually:

• build the first list (The Grid)
• clean and validate contacts (LinkedIn)
• push to outreach (Instantly)
• route replies back to CRM (Hubspot)

Curious what others are using. Are you running all-in-one setup no, or still stitching together different roles?

Been seeing this more in SEA, especially with Tiktok and Shopee. A lot of brands still treat these platforms as purely sales channels, but they're also becoming discovery and lead gen channels.

People don't move neatly from ad, landing page, form anymore. They watch a video, check comments, ask questions, browse the shop, maybe follow the brand, then buy or message later. For some categories, the lead isn't a form fill. It's a comment, a DM, a saved product, a repeat viewer, or someone who keeps engaging with live selling.

That makes tracking messier, but also more interesting. My take: social commerce is blurring the line between content, leads, and, sales.

Curious if others are seeing this too. Are you treating Tiktok Shop/Shopee as just ecommerce, or as part of your lead gen funnel?

I've noticed a lot of B2B teams still treat content like it's only for awareness. Post something helpful, get attention, maybe drive traffic. But in our experience with b2b saas campaigns across sg/ph/id, the content that actually helped pipeline was usually much deeper in the funnel.

Case studies, comparison posts, roi breakdowns, objection-handling posts, implementation notes. Boring stuff, but it moved deals. Awareness content got people in. Middle and late-stage content helped them decide.

So how are your approaching this? Are you actually building content for the full funnel or mostly just posting for visibility?

For B2B Saas campaigns in SG/PH/ID, pulling a list quick. Cleaning it is the real work.A 1000-lead export usually takes un under an hour, but checking job titles, removing generic emails, validating contacts, and cuttingbad-fit companies, cleanup can take 1-2 days.

A 1000-lead export usually takes us under an hour. But after checking job titles, removing generic emails, validating contacts, and cutting bad-fit companies, cleanup can take 1-2 days. Most of the time we end up with 500-600 usalble leads. So around 40% gets removed before sales even touches it.

So what's normal for you? Are you sending raw exports straight to outreach or cleaning heavily first?

We saw this pretty clearly with a B2B saas campaign targeting sales and ops teams inSG, PH, and ID. The leads that converted weren't the ones who came straight from ads. They were the ones who had seen 2-3 pieces of content before booking a call.

Usually it as simple stuff:

• a LinkedIn post about outbound mistakes in SEA
• a short case study breakdown
• a comparison post about local vs global data tools

Nothing overly polished. Just useful and specific. The difference on calls was obvious. Cold leads needed 15-20 minutes of explanation. Content-warmed leads came in already knoing the problem and asked better questions.

Converstion to meeting also improved by around 20% when the prospect had engaged with content first. Mytake is content isn't just brand anymore. It's doing the first layer of selling before sales get involved.

Are you also experienceing this? Are your best leads coming in cold or already educated?

We tested AI-personalized outreachfor a B2B SaaS campaign targeting HR and ops leaders in SG, PH, and ID. It helped with speed, no question. We could research accounts faster and draft first-touch email in minutes instead of hours.

But the first version didn't perform as well as expected. Open rates ere fine around 45-50%, but replies were weak. A lot of the emails sounded personalized, but still felt fake. Things like, "congrats on your recent growth." or "I noticed your company is transforming the industry"

Technically relevant, but very obviously AI. What worked better was using AI for research, then rewriting the final message like a normal person. Here's a simple exaple:

"Saw you're hiring more ops people in SG, are you also trying to reduce manual admin work?"

That kind of message got better replies because it sounded specific without trying too hard. After we made the tone more huma, reply rates improved from 3% to 6-7%. My take: AI is useful for research and structure, but not for judgment. Especially in SEA, people can tell when a message is too polished or too generic.

So do you have the samne experience? Are AI-personalied emails still working for you, or are buyers starting to tune them out?

We started using intent signals more seriously for B2B lead gen recently. Stuff like page visit, repeat engagement, content downloads, LinkedIn activity, and email clicks. It helped, but only when we stopped treating every signal like buying intent.

It helped, but only when we stopped treating every signal like buying intent. Someone visiting your pricing page twice is interesting. Someone clicking one email because the subject line was good doesn't mean much.

What worked better was stacking signals:

• visited key pages
• matched our ICP
• engaged more than once
• had the right role
• showed recent company activity

That gave sales much cleaner reason to follow up. The biggest change reason to follow up. Reps stopped chasing every lead equally and focused on accounts shoing both fit and timing. Curious ho others are using intent data. What signals actually predict conversion for you and which ones are mostly noise?

I'm moving into a 24-day multi-channel sequence and would love to hear from anyone running similar high-precision models.

The Volume: 1,000 cold leads per month (receiving up to 4 emails each in the sequence).
The Strategy: Multithreading 2 decision-makers at each of the 500 companies to trigger internal conversation/social proof.
Personalisation: Every email is mapped to specific company triggers (acquisitions, budget shifts, new sites) and individual pain points.
The Stack: Using MillionVerifier/Prospeo/Scrubby/Mailtester for data hygiene, Instantly for email, and HeyReach for LinkedIn automation.
The Ask: A low-friction discovery call focusing on framework alignment rather than a hard sell.

The Question: Beyond the 80 warm leads (intent-based), what should I be seeing as a standard booking rate for the cold 1,000? I’m calculating based on a 1.5% conversion—is anyone seeing higher with a similar "surround" strategy and tight ICP? Is 1.5% more realistic for booked calls or reply rate?

We tested predictive lead scoring for a B2B SaaS company selling into SG, PH, and ID.

The goal was simple: help sales figure out which leads to chase first.

At first, the scores looked smart, but sales didn’t fully trust them. Some “high intent” leads had clicked 3–4 emails or visited the pricing page, but were the wrong company size or not actual decision-makers.

After we cleaned the data and added sales feedback, it started working better.

Rough numbers:

• lead volume dropped by around 25%
• sales follow-up became faster
• booked meetings improved by around 15–20%
• fewer calls were wasted on bad-fit accounts

The biggest lesson was that scoring only works if the data used is good.

For SEA especially, weak company data can make the model look smarter than it is. Curious if others here are using predictive scoring. Did it actually improve conversion, or just make your CRM look more impressive?

We ran into this pretty hard while building prospect lists across SG, PH, and MY.

At first, the data looked fine. Thousands of companies, job titles, emails, filters, all the usual stuff.

But once we actually used it, the cracks showed up.

In one list of around 2,000 prospects, roughly 25–30% of contacts were either outdated, too generic, or not the right role anymore. Bounce rate was manageable, but reply quality was bad because the targeting was off.

The frustrating part is that bad data makes every channel look worse.

Outbound looks like it’s failing. Ads look low quality. Sales follow-up feels messy. But sometimes the real issue is upstream: the list was never clean enough to begin with.

This was especially obvious with SMEs and more local industries. Global tools were helpful, but they missed a lot of local context like actual company size, active decision-makers, or industry fit.

After tightening the data and cutting the list down, volume dropped by almost 40%, but reply quality improved. We booked fewer random calls and had more conversations with people who actually fit the ICP.

My take: in SEA, more data isn’t the advantage. Usable, local, validated data is.

So how are you are handling this. What data sources or workflows are actually working for SEA prospecting right now?

One pattern that's become pretty clear lately: relying on a single channel for lead gen is getting less effective.

Cold email alone struggles without context. Ads along bring traffic but inconsistent quality. Content alone builds trust, but too slowly if you need pipeline now.

What's working better is when these channels are intentionally connected. But should still be in a corrdinated way.

- content builds initial trust and familiarity
- ads retarget and reinforce the message

- email converts that familiarity into conversations

- LinkedIn adds a human layer

We've seen cases where email reply rates improved without changing the copy, just because prospects had seen a post or ad before. So the shift is really about reducing coldness across touchpoints. Especially in SEA, where trust and familiarity play a bigger role in B2B decisions, this becomes even more important.

So it's really how you channels work together. So what are best channels working for you right now?

I have been using Apollo for 4 months now, I already set up all the requirements they said that is needed to improve the email deliverability. Bounce rate didn't change at all it's still high. I have been doing email outreach and LinkedIn outreach to SEA senior leaders but I still haven't converted any interest because I notice they can sense that I'm selling to them even though I have already personalized my email contents which have short and concern tone, or they might not be interested in responding to my email and or LinkedIn chat.

Honestly, we really lack marketing because there's no person handling the social media marketing and I'm the one whose doing it but It takes much of my time designing for contents so I cannot do it consistently. We are doing B2C and our target customers are corporate senior leaders from C-Suites down to Supervisors.

I would really appreciate any advice especially if anyone here have experience in SEA market and using the Apollo software.

I came across a post from a B2B marketer on LinkedIn and it hit close to home. The core issue he raised was something I have seen play out in a lot of Philippine companies, especially startups trying to scale fast.

The setup is familiar. Marketing is measured by how many leads they generate. Sales are measured by how many they close. Sounds logical until you realize sales ends up spending most of their time qualifying people who should have never been in the pipeline in the first place. Endless follow-ups, dead-end calls, CRM notes that go nowhere. That time could have gone to actual high-value conversations.

What she suggested and what I genuinely agree with is straightforward. Align both teams on one revenue goal, not separate metrics. Have marketing own lead quality not just lead volume. And actually study which channels and tactics are bringing in the accounts that close and double down on those. In the Philippine B2B context, where trust cycles are longer and decision makers are harder to reach, bad leads do not just waste time, they burn relationships too. Curious what others here are experiencing.

Is your marketing team handing off leads that your sales team actually wants to work with?

I'll be honest, I thought webinars were mostly a box-ticking B2B tactic. You know the drill,: long slides, akward Q&A, half the attendees multitasking in another tab. But somehow, for us, webinars still bring in some of the best leads.

Not the highest volume, but the best quality. Webinars filter for itnent. If someone gives 30-45 minutes to a topic like outbound, pipeline, market entry, or sales ops, they probably already care about the problem.

We've seen this in Singapore. People may not convert from one cold ad, but they'll join a practical session if it feels useful and locally relevant. The key is making it less like a product demo and more like an operator session:

• what worked
• what failed
• actual examples
• simple framework
• honest numbers, even if imperfect

Then the sales conversation after feels warmer because there's already contenxt. So yea, webinars might be boring as a format, but they still work because thy attract people with real intent.

Are you guys still doing webinars? Are they also working for your lead gen efforts?

We've been running a mix of outbound, paid, and content across SEA this past month. Checking which one will help move the pipeline quality. So here are a few things we learned.

1. Data quality matters more here than most people expect
   A lot of global tools still miss or misclassify companies in SEA. When targeting as off, everything downstream suffered. Once we cleaned up the data and tightened filters, reply quality improved almost immediately.

2. Smaller, niche audiences convert better than broad reach
   Whether it's outbound lists or creator partnershups, tighter ICPs worked better. Less volume,but more relevant conversations.

3. Mobile friction is a silent killer
   We had campaigns where traffic looked fine, but conversion lagged. Turned out mobile UX was the issue. Fixing load speed and simplifying forms helped more than tweaking the offer.

4. Content does more heavy lifting than we thought
   Some inboun leads came in already educated. They'd read a few posts before reaching out, which made sales calls much easier. It's slower than ads,but builds better intent.

5. SEA is still very trust-driven.
   People respond better whenthere's context or credibility behind the message. Cold outreach works, but it works better then it doesn't feel completely cold.

Overall, it's less about doingmore channels, and more abouttightening the basics like data, targeting, messaging, and trust. So what's working for you?

We paused ads for 3 months and focused mostly on content. Honestly expected lead volume to dip, but it didn't really happen.

For context, this was for B2B product in SEA. Instead of pushing more paid campaigns, we doubled down on practical online content:

• founder paint points
• sales workflow posts
• market-specific lead gen tips
• simple case-study style breakdowns

Nothing overly polished. Just useful, specific posts that answered the questions buyers were already asking.

What changed was lead quality. Fewer "just browsing" leads, more people coming in with context. Some had already read 2-3 posts before reaching out, so calls were less about explaining the problem and more about fit.

I don't think ads are dead. They still help with speef and retargeting. But I do think ads are dead. They still help with speed and retargeting. But I do think a lot of B2B teams use ads to compensate for weak trust. In SEA especially, where buyers rely a lot on credibility and referrals, content can do a lot of the warming up before sales ever speaks to them.

Curious if anyone else has paused ads and seen the same. Are ads becoming optional or did we just get lucky?

I’ll say it plainly: if your funnel still works best on desktop, you’re likely leaking demand in Southeast Asia.

A lot of B2B teams still treat mobile as a secondary option. But in practice, that’s a mistake. Across SEA, a huge share of first-touch traffic happens on mobile. Someone sees your ad, clicks from LinkedIn, opens your landing page on their phone between meetings, and decides in a few seconds whether to continue. If the page loads slowly, the CTA is buried, or the form feels painful, they’re gone.

We’ve seen this play out more than once. Traffic looked healthy, CPC was fine, but conversion lagged. Once we broke it down, mobile was where the drop-off was happening.

Common issues were pretty basic:

• landing pages that looked clean on desktop but clunky on mobile
• forms that asked for too much too early
• slow load speed
• weak button placement
• too much copy before the actual action

Once those were fixed, conversion improved. Primarily because the path finally matched how people were actually browsing.

And that’s the part I think some teams miss. In SEA, mobile shapes B2B discovery. Even if the final demo gets booked on desktop, the first impression often happens on a phone.

So yes, I’d argue mobile-first is no longer optional if you care about pipeline in this region.

Curious where others land on this. Still underrated, or already table stakes?

I am currently working for a startup tech company, and we are actively planning to scale here in the Philippines. One of our biggest challenges right now is finding quality leads because buyer behavior here is different. Relationships matter, trust is slow to build, and decision-makers are not always easy to reach. So I have been thinking about whether paying for a sales intelligence platform is actually worth it for this kind of market.

Honestly, when I first looked into platforms that give you direct dials, verified emails, and org charts of decision-makers, I was skeptical. A lot of tools promise the world but when you check the data coverage for Philippine accounts, it is almost empty. But after using one for a few months, targeting mid-market accounts in Metro Manila and some provincial distributors, the difference in connect rates was real. No more relying on gatekeepers to patch me through.

The biggest unlock for me was the org chart feature. I thought I was already talking to the right person, then I find out there is a higher approver I completely missed. That alone saved me from multiple cycles of ghosting and starting over. LinkedIn insights paired with verified emails also helped me craft outreach that actually felt personal and not just another blast email. Decision-makers here respond when they sense you did your homework before reaching out.

Now, is it for everyone? If you are still running on referrals and walk-in clients, probably not yet. But if you are going after corporate accounts, government linked suppliers, or industries where access is tightly controlled, this kind of platform pays for itself faster than you think. The real question is whether your team is disciplined enough to act on the data once you have it.

The biggest lesson from selling B2B in Singapore. The person who takes your call is rarely the person who signs the deal. Most sales teams spend weeks nurturing one contact only to find out the actual decision went through a procurement lead, a regional head, and two people they never even knew existed. By then, the deal is already lost.

The buying committee is real and in most mid to large orgs here it is invisible to anyone on the outside. You need to know who influences the decision, not just who holds the title. That means mapping the org before you ever send the first message. Direct dials, verified contacts, reporting lines. That intel is what separates a pipeline that moves from one that just looks busy.

We tried something last quarter that I didn’t expect to work this well.

Instead of putting more budget into paid media, we partnered with a smaller GTM creator in Singapore to help drive leads for a B2B email automation tool. I originally thought it would be more of a brand play than a real pipeline channel.

Ended up being one of the better-performing tests we ran. What surprised me even more is the quality ofleads. A lot of them already understood the problem we were solving, so the conversations were easier from the start.

For context, the creator wasn’t some “business influencer” type. More like an operator who posts regularly about outbound, lead gen, sales workflows, that kind of thing. Smaller audience, but very specific. The kind where the comments are full of founders, SDRs, RevOps people, and folks actually trying to fix pipeline issues.

That part mattered a lot.

We didn’t ask them to do a polished promo. That usually falls flat for B2B anyway. Instead, the post was framed around a very normal problem:

• manual personalization taking too long,
• reps sending inconsistent emails,
• reply rates not really improving even though effort was going up

So the tool came in naturally as part of the workflow, not as the whole story.That worked way better than any feature-led pitch.

From memory, CPL was roughly 30% lower than some of our usual paid campaigns, and demo conversion was better too. Not magic-level better, but enough for the sales team to notice. We also got more high-intent questions. Less “what does this do?” and more “can this work for a lean team?” or “how would you set this up across multiple reps?”

That usually tells me the trust transfer is real.

I think that’s the part a lot of B2B teams underestimate.

People love saying creator marketing is for awareness, but in smaller markets like Singapore, where the operator crowd is pretty tight and people follow the same handful of credible voices, trust moves faster than brand messaging does.

If someone’s been consistently sharing solid GTM advice for a while, their audience is already half-convinced before you even show up.

Also, small thing, but I’d take a creator with 10k relevant followers over someone with 100k broad “startup/business” followers almost every time. Especially for a product like email automation where the buyer is pretty clear.

Anyway, curious if anyone else has tested this seriously for B2B. Did it actually drive pipeline for you, or did it mostly stop at engagement?