Curious what’s actually working for people right now.
Cold email still works for us, but it’s getting harder. LinkedIn gets conversations, but not always qualified ones. Events bring fewer leads, but usually better intent.
Feels like each channel has a different job now. For those doing lead gen in SEA, what’s actually driving real pipeline for you?
Genuine question for people doing lead gen in SEA. How much does timing actually affect your results? We've been struggling with traditional way of lead generation like building a list of emails that fit our identified ICP. But it seems like having volume doesn't really matter anymore.
Any experience with incorporating timing or signals before cold outreach?
Genuine question for people doing b2b prospecting right now. Are you still usinga stack of different tools or trying to consolidate into one platform?
We've been using separate toold for data, enrichment, validation, outreach, and CRM updates. It works, but it also gets messy fast. Duplicate records, mismatched fields, manual cleanup, andtoo much switching between tabs.
At the same time, all-in-one tools sound convenient, but I'm not sure if they're actually better when you care about data quality, especially across markets SG/PH/ID.
Curious how others are handling it. Do you prefer a stack, or one tool that does most of the workflow?
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Been in lead gen for 10 years no, and it's wild how different things are compared to before. A few years ago, decent data and decent outreach could still get you meetings. Now, buyers ignore anything that feels even slightly generic.
For us, broad cold outbound has been the biggest drop-off. Still orks when ICP is tight, but the old "build a big list and personalize lightly" approach feels pretty dead. So what stopped working for you this year?
AI is becoming impossible to ignore in lead gen. It helps with efficiency.
We've been testing it across targeting, scoring, list cleanup, and outreach drafts. Some parts genuinely help. Lead scoring and account research are faster. Outreach is easier to personalize at scale. Follow-ups are more consistent.
But I'm als seeing the downside. A lot of teams are using AI to send more emails, not better ones. Same generic pitch, just dressed up witha company name and a few personalized lines. From what I've seen, AI only improves lead gen when the inputs are clean like ICP, reliable data, good segmentation, strong offer, huma review stillmatters too. Without these, it just scales bad targeting.
So my take onAI. It's useful as the engine, but it shouldn't be the driver. It can speed up research and exection, but humans still need to decide who is worth reaching and why.
So I just want to know, how are you using AI right now inyour lead gen stack? And what are the results?
I've bee looking at B2B lead gen in SG lately, and honestly, one thing keeps coming up. Finding the right companies is easy. Finding the right companieswith usable, up-to-date data is the hard part.
Global tools are helpful, but they don't always handle local markets well. You still run into:
That's why I think local context matters more than people admit. Especially for teams selling into SMEs,agencies, vendors,or regional B2B accounts, more data doesn't always mean better prospecting.
My take in SG, lead gen is less about building a huge list and more about knowing which companies actually fit your ICP. Curious how others are handlin this. What tools or data sources are you using for Sg?