TL;DR
- Firmable is the first specialist to test for Australia and New Zealand, with an announced expansion into Singapore, Malaysia, Indonesia and the Philippines. Its Australian Small Teams offer is AU$110 per user per month, billed annually, with 3,000 shared profile unlocks a year. Test the new markets separately; an expansion announcement is not a coverage score.
- EasyLeadz deserves an India-specific trial if direct mobile numbers are the scarce field. Its monthly Startup plan is INR2,419 plus GST for 40 numbers, up to two users. This is not an all-region account database.
- Teikoku Databank is the Japanese company-list option when the problem is local entities, industries and company attributes. It is not a substitute for verified individual work emails or mobiles.
- Apollo and Lusha are accessible cross-border contact-data benchmarks. Use them to measure the same countries, roles and fields against the regional specialists, and include their credit rules in the result.
- ZoomInfo is the enterprise comparison for a team that wants a broad data platform. Demand a country-by-country, field-by-field pilot and an actual contract quote before treating a global database as an APAC answer.
An Australian SaaS company, a Singapore subsidiary, an Indian manufacturer and a Japanese holding company can all sit in an “APAC” prospect list. A provider can return an excellent global parent for all four and still leave the sales rep without the right local company, current buyer or usable contact field. That distinction disappears in most lists of “best APAC databases.”
The useful question is more exact: for which country, company size, role and field will you pay? A work email, direct mobile, company registration, revenue band and operating subsidiary are different purchases. This guide compares six credible starting points for those different jobs. It uses published product and price information, not a claimed head-to-head accuracy test; no vendor has been independently tested here on a common APAC sample.
Why APAC needs more than one data benchmark
Split the request into four territories before talking to a vendor. Australia and New Zealand are a sensible paired test for a regional specialist, but still need separate samples. Singapore and nearby Southeast Asian markets require local operating-company checks, not just an Australian headquarters record. India is a separate test if mobile-first prospecting matters. Japan often needs local-script name matching and company structure before an English-language contact search has a fair chance.
| Territory to test | First field to verify | Likely failure to catch | Useful starting candidate |
|---|---|---|---|
| Australia and New Zealand | Local company plus current person, work email and mobile separately | Correct brand, wrong employing entity or stale mobile | Firmable against Apollo/Lusha |
| Singapore, Malaysia, Indonesia, Philippines | Operating country and local contact location | Regional HQ returned for an in-country buyer | Firmable's expanded markets against Apollo/Lusha |
| India | Correct company and usable direct number for the chosen seniority | Number belongs to the wrong person or office | EasyLeadz against global providers |
| Japan | Local legal entity, Japanese name, industry and company telephone | Global parent or romanised near-match mistaken for a local company | Teikoku Databank for accounts; separate people-data test |
These are test designs, not measured rankings. If Taiwan, South Korea, Thailand or another country is in your addressable market, add its own cohort rather than assuming a neighbouring country's result transfers. Record headquarters, operating entity and person location as separate fields in the CRM.
Six providers at a glance
| Provider | Best initial use | Public buying signal | Main limitation to test |
|---|---|---|---|
| Firmable | ANZ account and contact search; selected Southeast Asian expansion | AU Individual AU$80/user/month annually; AU Small Teams AU$110/user/month annually | Target-country and field availability; profiles are consumed on unlock/export |
| EasyLeadz | Indian direct mobiles and contact lookup | INR2,419/month plus GST, 40 monthly phone numbers on Startup | Wrong-number handling, target-role availability, country scope |
| Teikoku Databank | Japanese company identification and targeted lists | Custom list request, price depends on extract | Not a verified person-email or mobile product |
| Apollo | Self-serve, multi-country company and person search | Basic reportedly US$65/user monthly or US$49 annually equivalent | Credits, country-level match and local subsidiaries |
| Lusha | Fast contact reveals and export | Pro reportedly US$69.90 monthly, 600 credits and two seats | Email versus phone credit burn; verify the current account offer |
| ZoomInfo | Enterprise company and contact data comparison | Contract quote required for the actual package | In-country fields, export rights, users and minimum commitment |
Prices reflect pages reviewed on 26 September 2026. Firmable and EasyLeadz figures come from their own country pricing pages; Apollo and Lusha prices are third-party reports, not supplier quotes. Do not compare a monthly phone allowance with an annual profile allowance as if each unit were a qualified lead.
1. Firmable for ANZ and selected Southeast Asian markets
Firmable is a stronger first call than a generic global database when Australia or New Zealand is the core territory. Its Australian pricing page ties the offer to contact and company profiles, including available email and mobile fields, and makes the charging event clear: unlocking or exporting a profile consumes one included profile. That is materially easier to model than an opaque “unlimited search” promise. The plan does not guarantee that every unlocked record contains the field you need, so sample results must distinguish a useful profile from an unlocked but incomplete one.
For one researcher, the AU Individual offer is AU$80 per month billed annually, or AU$960 over the year, with 1,200 included profiles. It provides CSV exports but the pricing table puts CRM integrations in the next tier. The AU Small Teams offer is AU$110 per user per month billed annually, up to three users, with 3,000 included profiles shared for the year and CRM integrations. A three-seat team therefore budgets AU$3,960 for the year before tax or additional profiles. If it consumes all 3,000 profiles, the subscription floor is AU$1.32 per unlock; its cost per usable result will be higher if records lack the required field. The offer is Australian; obtain the actual quote for another country rather than converting currencies and assuming identical allowances.
Firmable announced in December 2025 that it had extended coverage to Singapore, Malaysia, Indonesia and the Philippines. That makes it a practical candidate for a paired test across ANZ and Southeast Asia. It does not establish that the Singapore contact database is as complete as the Australian one, or that mobile and work-email yield is the same across those countries. Ask for separate samples by country and role, and check which company register or source supports the local entity.
Choose it when: ANZ is a material part of the pipeline and the team wants a local-first reference set, possibly extended into named Southeast Asian countries. Watch for: paying for profile unlocks whose person field is unavailable, and mistaking an expansion announcement for a measured coverage result.
2. EasyLeadz for Indian mobile numbers
EasyLeadz is a narrower purchase. Its current pricing page centres on phone numbers, with a free allowance of five a month and monthly Startup at INR2,419 plus 18% GST for 40 phone numbers and up to two users. Scaleup is INR5,999 plus GST for 130 numbers; Growth is INR11,999 plus GST for 300. The vendor lists email, bulk upload and other features too, but the visible paid entitlement is denominated in phone numbers. Evaluate it against the Indian direct-number problem, not as a complete substitute for country-level company intelligence in all APAC markets.
At full consumption, Startup is INR60.48 per included number before GST: INR2,419 divided by 40. That differs from the headline “INR9 per mobile” on the same page, which should not be used as the effective price for this Startup purchase. If only 20 numbers are usable in your defined test, the plan spends INR120.95 before GST per usable number. Neither calculation includes staff time, unanswered calls or a number returned under the vendor's wrong-number policy.
The vendor advertises refunds for incorrect numbers. Treat that as a policy to verify in the contract: define whether “incorrect” means disconnected, wrong person or a working switchboard, how quickly a dispute must be filed, and whether a refunded number restores the current month's allowance. Keep a call outcome field so an unresponsive but correct mobile is not counted as an inaccurate record.
Choose it when: Indian direct mobiles are the limiting input to an otherwise qualified account list. Watch for: purchasing a mobile lookup before resolving the legal entity and role, or extrapolating Indian results to Singapore or Japan.
3. Teikoku Databank for Japanese company lists
The Japanese company problem often comes before the contact problem. Teikoku Databank's Targeted Business Lists service describes extracts using company attributes such as industry, location, sales and employees. This is the option to evaluate when an English-language global search merges subsidiaries, misses a local entity or places the right corporate group in the wrong selling territory.
Do not buy this as if it were a mobile-number vendor. A company list may give a company address, telephone or management information, but that is not proof of an individual buyer's current email, direct dial or consent to contact. Ask for a sample of the exact prefectures, industries and company sizes in your ICP, then test how many records join cleanly to your CRM's existing domains and account IDs. Keep the original Japanese name alongside any romanised version; two similar transliterations should not be silently merged.
Commercially, this is a scoped list purchase rather than a self-serve seat price. Request the fields, extraction criteria, update rights and price for the number of companies you need. The proper comparison is the cost of correct target accounts and the reduction in manual account research, followed by a separate people-data purchase if your team needs personal contact fields.
Choose it when: Japanese local-entity and company segmentation errors are blocking outbound. Watch for: treating company-level intelligence as verified individual contact data.
4. Apollo for self-serve cross-border prospecting
Apollo gives a small team a way to assemble company and people lists across borders without starting with an enterprise procurement cycle. Its prospecting filter documentation distinguishes person and company filters; that matters in APAC because an Australian parent can employ a person in Singapore while the buying entity sits elsewhere. Build each market search with both company geography and contact location visible, then inspect a sample before export.
An independent September 2026 Apollo pricing report puts Basic at US$65 per user on monthly billing or US$49 per user per month with annual billing. For three seats, that is a reported US$195 monthly or US$1,764 annually at the annual equivalent, before any additional credits or plan restrictions. Check the offer in your account: a seat price alone does not tell you how many usable emails or phones a particular workflow yields, and phone, export and enrichment actions can draw on different allowances.
Apollo's advantage here is speed of a controlled multi-country baseline. It is not evidence that Apollo wins in every APAC country. For each 100-account cohort, record eligible people, verified work emails, usable phones and wrong employers separately. If Apollo wins Singapore but loses Japan, the correct answer may be a split stack rather than one regional licence.
Choose it when: you need a self-serve global benchmark and also value prospecting workflows. Watch for: the same credit balance being consumed by experiments, contact reveals and production exports without a clear cost-per-usable-record calculation.
5. Lusha for contact-level reveals
Lusha is useful when reps already know the target company and need a quick comparison of person-level contact availability. Its prospecting guide describes filters for contact location and available data, so a country-specific search is possible. Run identical known-account samples alongside Apollo and a regional provider. Do not equate a search result with an email or phone that has actually been revealed and checked.
The Lusha FAQ gives one credit to reveal an email and five to reveal a phone. Use those field-level rates for planning. A third-party 2026 pricing account reports Pro at US$69.90 monthly with 600 credits and two seats. At six credits for both fields, that allowance supports at most 100 dual-field reveals before unusable records or extra actions. That is a planning ceiling, not a promise of 100 qualified leads.
For a team covering several APAC countries, save separate Lusha searches and log country-level reveal yield. A low raw hit count in one market may be acceptable if the revealed phones are useful and expensive alternatives perform worse; the reverse can also happen. Price the desired field, not just the number of names in search results.
Choose it when: contact-level ease of use matters and the team can control credit burn. Watch for: buying the headline credit bundle before validating which field consumes how many credits in your account.
6. ZoomInfo for an enterprise data benchmark
ZoomInfo's sales intelligence platform spans company and contact information, prospecting and workflow features. For a larger team, it is a useful enterprise comparison against a stack of regional sources. The purchase question is not whether it has a global brand; it is whether the contracted dataset returns the right Australian, Singaporean, Indian and Japanese operating companies and people for your roles.
Request a quote that names users, export and enrichment allowances, permitted integrations, renewal terms and the data package being sampled. Ask the vendor to process the same blind account cohort as the self-serve tools. An example in a sales demo can hide failures among smaller companies or local subsidiaries. Score every missing record as missing; do not silently replace a Japanese subsidiary with its US parent just because the parent has more contacts.
No public general-platform price should be presented as the price of your specific APAC data, enrichment and export configuration. Compare the actual annual commitment to the number of usable records the team expects to need. The enterprise platform can be good value if it reduces several subscriptions and manual joins; it can be wasteful if the underperforming markets still need regional supplements.
Choose it when: procurement and CRM operations favour a broad platform and the country-level trial supports its cost. Watch for: contract scope and coverage being inferred from a product overview rather than tested against your list.
What the published allowances actually buy
The six options sell different units. Firmable sells profile unlocks; EasyLeadz's visible monthly tiers count phone numbers; Lusha counts credits for reveals; Apollo combines seats and action allowances; Teikoku prices an extract; ZoomInfo requires a package quote. To compare them, define a usable result first: the correct local company, current target role and required contact field with enough evidence for a rep to use it.
| Example purchase | Published or reported spend | Included unit | Illustration at full use | What still must be measured |
|---|---|---|---|---|
| Firmable AU Individual | AU$960/year, paid annually | 1,200 profiles/year | AU$0.80 per unlocked profile | Share with the required field and correct local entity |
| Firmable AU Small Teams, three seats | AU$3,960/year, paid annually | 3,000 shared profiles/year | AU$1.32 per unlocked profile | Whether three seats and CRM flow improve usable yield |
| EasyLeadz monthly Startup | INR2,419/month plus GST | 40 phone numbers/month | INR60.48 per included number | Wrong-person, wrong-number and non-target rate |
| Lusha Pro, reported | US$69.90/month | 600 reported credits | Up to 100 email-plus-phone reveals at six credits each, if the FAQ rule applies | Actual charging workflow and field availability |
| Apollo Basic, three monthly seats, reported | US$195/month | Seats plus plan-dependent credits | No honest per-record figure without usage data | Contact actions, field availability and export cost |
| Teikoku or ZoomInfo | Custom quote | List extract or contracted package | Calculate after scoped quote | Record rights, countries, fields and minimum spend |
Those figures are not currency-converted, do not include every tax or overage and are not a ranking by data quality. The relevant denominator is usable outcomes from the same target list. For example, a hypothetical US$300 spend yielding 200 usable records costs US$1.50 per result; a US$200 spend yielding only 100 costs US$2.00. That arithmetic does not say which named provider will produce either result.
Run a four-country test before signing
Take 100 accounts in each of Australia, Singapore, India and Japan, stratified by company size and industry. Add New Zealand or other markets that actually generate pipeline. Mix familiar named accounts with smaller local firms so a provider cannot pass by returning only multinationals. Keep the target list and answer key with your team, and give each vendor identical input fields. A 400-account sample is a practical buying test, not a statistical claim about the full national market.
For every provider and country, log: correct legal or operating company; correct domain and parent relationship; current employer; role fit; work-email availability; direct-mobile availability; local-script match where relevant; source or last-checked date; export entitlement; and credits spent. Keep wrong and missing separate. A wrong phone or wrong employer can cost more than an empty field because a rep may act on it. Review a sample of “matched” records manually before promoting them into the CRM.
Then make two scorecards. One is account quality (especially important for Japan and subsidiaries). The second is person and field yield (especially for mobile-first India). Calculate cost per correct account and cost per usable person separately. Do not let high Australian yield compensate for zero Japanese yield inside a single APAC average. Finally, check that the rights to store, export and contact records fit your actual outreach process; buying data does not itself grant permission to email, call or message people.
If the existing CRM is the main problem, compare these sources with the method in our B2B data enrichment tools guide. If your reps are specifically choosing a phone-data product, the Cognism, Lusha and Kaspr comparison gives that narrower lens. Broad platform buyers can use our ZoomInfo alternatives guide to form a second shortlist.
Which provider should you choose?
Choose the provider that wins the market and field you actually sell into. Start with Firmable for an ANZ-led list and include its named Southeast Asian markets in a separate test. Add EasyLeadz if Indian direct numbers are your bottleneck. Use Teikoku Databank where Japanese company identity is the weak point, then attach a people source rather than asking a company list to do a different job. Apollo and Lusha make useful self-serve baselines for cross-border contacts. Bring ZoomInfo into a measured enterprise comparison when a broader contract could replace several purchases.
For a team selling across all four sample markets, the likely procurement decision is a primary global or regional source plus a measured exception path, not six subscriptions. The exception path earns its place only when the extra usable records justify the incremental cost and operational work. The same principle applies to outreach: better data helps targeting, but the playbook still needs signals, a reason to contact the account and a disciplined follow-up. The signal-based outbound playbook covers that next step.
FAQ
Which B2B database has the best APAC coverage?
There is no defensible single winner without a country, ICP and required field. Test Australia, Singapore, India and Japan independently if all four matter. A provider can win work-email coverage in one market while losing local-company identification or direct mobiles in another.
Can Australia and New Zealand results stand in for Southeast Asia?
No. Even if a supplier serves all three areas, the underlying company and contact sources can differ. Use separate account samples and report usable email, mobile and local-entity rates for each country. Firmable's expansion into selected Southeast Asian markets is a reason to test, not proof of identical yield.
Is Teikoku Databank a substitute for Apollo or Lusha?
Usually not for person-level outbound. Teikoku's targeted lists address Japanese company selection. Apollo and Lusha address people and contact-field discovery. If account matching is wrong, fix that first; if the accounts are correct but you lack work emails or phones, test a contact provider.
How should I compare phone-credit plans with profile plans?
Convert both into cost per usable result on the same target list. Record every charged action and whether it returned the correct company, target person and required field. Include unused allowance and wrong records. A cheap phone number is not useful if it reaches the wrong person.
Is a vendor's APAC accuracy claim enough to buy?
No. Regional averages hide country, industry, role and field differences, and vendor-reported accuracy can use a different definition from yours. Agree on the test list and definition of “usable,” then keep the raw outcomes and credit consumption. Ask for contractual corrections if the vendor's refund policy matters to the economics.
Should the team buy one provider for the whole region?
One provider may simplify procurement and CRM operations, but make that choice after testing the countries that produce pipeline. If one country consistently fails, a targeted specialist may cost less than abandoning a good primary provider. Calculate the incremental correct accounts or usable people from the specialist before adding it.
