The Best Way to Build a B2B Prospect List in APAC: A Step-by-Step Guide

Building a B2B prospect list in APAC is not the same as North America. LinkedIn penetration varies dramatically by market. Most mid-market companies never appear in standard databases. This step-by-step guide covers how to build an accurate APAC prospect list.

The Best Way to Build a B2B Prospect List in APAC: A Step-by-Step Guide
Created by Canva AI
323M+
LinkedIn members in APAC — but Southeast Asia accounts for only 6.9% of global LinkedIn members, meaning most mid-market companies in the region are underrepresented (DataReportal, Jan 2025)
50%
LinkedIn population penetration in Singapore — one of the highest in APAC. Vietnam, Indonesia, and Thailand are far lower, making local data sources essential
3x
Higher response rate on phone and WhatsApp vs cold email in India, Indonesia, and MENA — channel selection matters as much as data quality
22%
Higher engagement when outreach is in the prospect's native language — Southeast Asian professionals respond significantly better to localised content

Most B2B teams treat APAC as a single market. It is not.

Singapore has approximately 50% LinkedIn penetration — one of the highest in Asia, comparable to leading Western markets. But Vietnam, Indonesia, and Thailand have far lower adoption among mid-market companies. Japan and South Korea have strong professional networks, but the dominant platforms are not LinkedIn — they are Line Works, KakaoTalk, and domestic platforms that no English-language database indexes. Southeast Asia accounts for only 6.9% of global LinkedIn members, meaning the majority of mid-market companies across the region do not maintain LinkedIn profiles meaningful enough for sales prospecting.

APAC is not a market. It is fifteen markets with fifteen different data infrastructures, fifteen different outreach norms, and fifteen different regulatory environments. A prospect list built from LinkedIn and Crunchbase works well for Singapore-headquartered tech companies. It underperforms everywhere else.

Three patterns account for most APAC prospecting failures: using a single data source for all sub-regions; applying North American outreach templates without channel adaptation; and treating the list as static when high-growth APAC markets have faster job mobility than mature Western ones.

How to build a B2B prospect list in APAC: six steps

Step 1 — Define your ICP by sub-region, not "APAC"

The first and most common error: treating APAC as a single ICP segment. Segment by geography, company size appropriate to each market's scale, industry vertical, and technology stack. A 50-person company in Singapore is mid-market. A 50-person company in Vietnam may be one of the largest independent software vendors in the country. ICP thresholds need market-relative benchmarks — not US benchmarks applied globally.

For high-growth markets like Vietnam, Indonesia, and the Philippines, also consider company age: many of the highest-growth targets are 2–5 years old and will not appear in databases that rely on historical depth. A company registered in Indonesia's AHU registry in 2023 with 150 employees and rapid headcount growth is often a more compelling target than a long-established company with a static profile.

Step 2 — Source company data from local registries

For APAC prospect list building, official business registries are the most reliable starting point. They contain every legally operating company in each jurisdiction, regardless of whether the company maintains an English-language web presence or LinkedIn profile. Key registries by market:

  • Singapore: ACRA (Accounting and Corporate Regulatory Authority)
  • Malaysia: SSM (Suruhanjaya Syarikat Malaysia)
  • Indonesia: AHU (Administrasi Hukum Umum)
  • Thailand: DBD (Department of Business Development)
  • Vietnam: National Business Registration Portal
  • South Korea: DART (Data Analysis, Retrieval and Transfer System)
  • Japan: NTA Corporate Number Publication Site
  • India: MCA (Ministry of Corporate Affairs)

Most of these are publicly accessible but require dedicated indexing to be usable at scale. Pubrio's data layer systematically indexes these sources — alongside regional job boards and local-language financial press — producing prospect records that reflect the actual company universe in each market.

Step 3 — Enrich with local hiring and signal data

Once you have a company universe, the next step is identifying which accounts are in active buying cycles. In APAC, this means monitoring local platforms that English-language tools do not capture.

By market for hiring signals: JobsDB and JobStreet for Southeast Asia; Naukri for India (70M+ registered jobseekers); Rikunabi and Mynavi for Japan; JobKorea and Saramin for South Korea; Vietnamworks and TopCV for Vietnam; Kalibrr for the Philippines.

For expansion signals: DealStreetAsia and KrASIA cover regional funding and M&A. Local-language trade publications carry announcements days to weeks before they appear in Crunchbase or PR Newswire. Pubrio's Expansion Signal layer automates this — generating 120,000+ daily buying indicators from local ecosystems across 130+ countries.

Step 4 — Verify contacts before outreach

APAC contact data decays faster than in mature Western markets due to higher job mobility in high-growth economies. Before running any outreach sequence, verify exported email addresses through a third-party tool like NeverBounce or ZeroBounce. Aim for under 5% bounce rate — anything higher risks sender domain damage. For phone-based outreach in markets where mobile contact is the primary channel, verify numbers against published company directories where accessible.

Step 5 — Adapt outreach channel by market

Building the list is half the problem. Reaching people through the right channel is the other half. APAC prospects answer phones and WhatsApp at approximately 3x the rate they respond to cold email in India, Indonesia, and MENA. Zalo is Vietnam's dominant messaging platform with 78 million monthly active users and 85% usage rate — outreach via Zalo OA meaningfully outperforms cold email for Vietnamese B2B contacts. LINE dominates Thailand. KakaoTalk is essential for South Korea.

Southeast Asian professionals show 22% higher engagement with native language content. For Vietnam, Indonesia, and Thailand, localising even just the greeting and opening context — not necessarily the full email body — meaningfully improves response rates.

Email and LinkedIn remain effective for Singapore, Australia, New Zealand, and Japanese enterprise (where formal written communication is culturally expected).

Step 6 — Set a refresh cadence

A static APAC prospect list degrades faster than a North American one. Quarterly refresh for Vietnam, Indonesia, the Philippines, and India. Semi-annual for Singapore, Australia, and Japan. More importantly: trigger re-enrichment whenever an account shows a new buying signal — a hiring surge, funding event, or registry filing is more reliable than a calendar schedule.

APAC B2B prospect list — data sources and outreach channels by market
Market Primary registry Local job platforms Best outreach channel
Singapore ACRA LinkedIn, JobsDB, MyCareersFuture Email, LinkedIn
Malaysia SSM JobStreet, LinkedIn, Ricebowl Email, LinkedIn, WhatsApp
Indonesia AHU Kalibrr, Glints, JobStreet WhatsApp, Phone, Local email
Vietnam National Business Registration Portal Vietnamworks, TopCV, Timviecnhanh Zalo OA, Phone, Localised email
Thailand DBD JobsDB, JobThai, LinkedIn LINE, Email, Phone
India MCA Naukri, LinkedIn, TimesJobs Phone, WhatsApp, Email
Japan NTA Corporate Number Rikunabi, Mynavi, Doda Formal email (Japanese), LinkedIn
South Korea DART JobKorea, Saramin, LinkedIn Email, KakaoTalk (warm intros)

Four mistakes that undermine APAC prospect lists

Using one data tool for all APAC sub-regions. No single English-language database provides strong coverage across all APAC markets. Teams prospecting non-English APAC markets see two to three times more contacts when searches include native-language equivalent titles. The most effective APAC lists combine sources: one for company firmographic base, one for local hiring signals, one for financial and expansion signals.

Applying North American ICP assumptions. Company size benchmarks, tech stack maturity, and procurement cycle length vary significantly by sub-region. Calibrate your ICP filters for each market rather than applying US thresholds globally.

English-only title search. A search for "Head of Procurement" in Japanese, Korean, Vietnamese, or Bahasa Indonesia returns a substantially larger result set than the English title alone — yet most platforms only search in English.

Treating the list as static. Build refresh cadences in from the start, and trigger re-enrichment whenever an account shows a new buying signal. A calendar-based schedule without signal-driven prioritisation misses the accounts that have moved from passive to active between refresh cycles.

Pubrio was built specifically for this workflow. Its data layer sources from 50+ local registries and regional sources across 130+ countries — including the registries in the table above, regional job platforms, and local-language financial press. The Expansion Signal layer generates 120,000+ daily buying indicators from local APAC ecosystems, identifying which accounts are in active buying cycles from verifiable local events — not English-language intent co-ops.

For Teams Building APAC Pipeline
Build an APAC Prospect List That
Reflects the Actual Market
Pubrio sources from local registries, regional job platforms, and local-language trade press across 130+ countries — including Vietnam, Indonesia, Thailand, India, Japan, and South Korea.
Frequently Asked Questions
Questions about building a B2B prospect list in APAC
Why is building a B2B prospect list in APAC different from North America?
APAC is 15+ markets with different data infrastructure and LinkedIn penetration. Singapore has approximately 50% LinkedIn penetration; Vietnam and Indonesia are far lower among mid-market companies. Most mid-market manufacturers, distributors, and service companies across Southeast Asia do not maintain English-language digital profiles and do not appear in standard databases. Effective APAC list building requires local registry data, regional job platform monitoring, and channel adaptation by sub-region.
What are the best data sources for B2B prospecting in Southeast Asia?
For company data: national business registries — Indonesia's AHU, Malaysia's SSM, Thailand's DBD, Vietnam's National Business Registration Portal, Singapore's ACRA. For hiring signals: regional job platforms — JobsDB, JobStreet, Kalibrr (Philippines), Vietnamworks. For financial signals: DealStreetAsia, KrASIA, and local-language trade publications in each market. Pubrio indexes these systematically across 130+ countries.
Does cold email work for B2B outreach in APAC?
It depends on the market. Email works for Singapore, Australia, and Japanese enterprise. For India, Indonesia, and MENA, phone and WhatsApp generate response rates approximately 3x higher than cold email. In Vietnam, Zalo OA outperforms generic email — Zalo has 78 million monthly active users and an 85% usage rate among Vietnamese, making it the dominant business communication channel. Channel selection should be market-specific.
How often should I refresh an APAC B2B prospect list?
Quarterly for Vietnam, Indonesia, Philippines, and India — where job mobility is faster than in mature Western markets. Semi-annually for Singapore, Australia, and Japan. Also trigger re-enrichment whenever an account shows a new buying signal — a new hiring surge, funding event, or registry filing is a more reliable signal to re-engage than a calendar-based schedule.
How does Pubrio help with APAC prospect list building?
Pubrio sources from 50+ local registries and regional data sources across 130+ countries — including national business registries, regional job platforms, and local-language financial press across APAC. Its Expansion Signal layer generates 120,000+ daily buying indicators from local ecosystems, identifying which accounts are in active buying cycles based on verifiable local events rather than English-language intent data.