In short: Databases such as Apollo and ZoomInfo tell you who works where; signals such as a funding round, contract award or new hire tell you which company to approach now and give your first line a reason. The common pattern is to let a signal pick the company and use the database to find the contact.
A B2B contact database, such as Apollo or ZoomInfo, gives you a list: companies that match your profile and the people who work there, with ways to reach them. Signal-based lead generation gives you timing: it watches for events that make a company more likely to buy now, such as a funding round, a contract award or a new role, and contacts the company because of that event.
They solve different problems, which is why they are often used together. A database answers “who should we talk to at this company?” Signals answer “which companies should we talk to this week, and why?”
How contact databases work
A contact database collects company and contact records from many sources, keeps them updated, and lets you search by industry, size, location, job title and other filters. You then export or reveal records, usually using credits, and send them to your CRM or outreach tool.
Two well-known examples, based on their own websites as checked on 6 October 2026:
- Apollo describes its data as covering 240 million contacts and 30 million companies on its pricing page. It offers a free plan alongside Basic, Professional and Custom plans, and uses credits for actions such as revealing emails and phone numbers. Credits are pooled across a team, granted at the start of each billing cycle, and unused credits do not carry over. Apollo also includes sequencing, so many small teams use it as both database and sending tool.
- ZoomInfo does not publish prices. Its pricing page asks you to request a quote and says pricing depends on features, number of licences and credit usage, with each export costing one credit. It lists sales and marketing packages and offers a free trial. ZoomInfo also sells intent data as part of its platform.
Prices, plans and data counts change often. Check each provider’s site, and ask for a sample of your real target accounts, before committing.
The comparison
| B2B contact database | Signal-based lead generation | |
|---|---|---|
| Main question it answers | Who works where, and how to reach them | Which companies have a reason to buy now |
| What you get | Filterable lists of companies and contacts | A short list of accounts with a recent event attached |
| Timing | Static unless you add alerts or intent features | Driven by when the event happens |
| Reason to write | Fit with your profile | The event itself, such as an award or funding round |
| Volume | High; you can pull thousands of records | Lower; limited by how often relevant events occur |
| Main work | Choosing filters, cleaning data, writing sequences | Watching sources, checking fit, researching each event |
| Typical cost model | Subscription per user, often with credits | Mostly time, or a service fee; many sources are free |
| Singapore coverage | Varies by provider; test before buying | Depends on the sources; many Singapore sources are public |
Where contact databases are strong
- Speed to a list. You can build a list of every operations director in Singapore logistics firms of a certain size in minutes.
- The contact step. Once you know which company to approach, a database is often the fastest way to find the right person’s work email or direct line.
- Scale. If your market is large and your offer broad, volume matters, and a database supports it.
- Built-in workflow. Many databases include sequencing, CRM sync and enrichment, so one tool covers most of the outbound process.
Where lists alone fall short
- A list has no timing. A company that fits your profile perfectly may have signed a three-year contract with a competitor last month. Fit does not tell you whether now is the moment.
- Generic reasons get generic replies. Without an event to refer to, the first message usually leans on the prospect’s title and industry, which every other seller on the same database can also see.
- Coverage varies by market. Large databases are often strongest in the markets where they have the most users. Test how well your Singapore and regional accounts are covered.
- Data decays. People change jobs and companies move. Credits spent on stale records are wasted.
Where signals are strong, and their limits
Signals give each approach a stated reason. A company that has just raised money (see the funding round signal), is hiring for a role you support or has won a GeBIZ contract has something new going on, and your message can say so in its first line.
The limits are real too. Relevant events are less frequent than rows in a database, so volume is lower. Each event needs checking: not every funding round leads to a purchase in your category. And a signal names a company, not usually a person, so you still need to find the right contact.
How the two combine
The common pattern is simple:
- A signal fires. For example, a Singapore company advertises for its first head of procurement.
- You check fit. Is the company in your target industry and size range?
- You use the database to find the contact. The new procurement head may not have started yet, so the database helps you find the operations or finance lead who is building the function.
- You write about the event. The first line refers to the hire; the ask is small.
Some databases now offer signals of their own, such as intent data or job-change alerts. These can be useful, but they are general-purpose. Many of the events that matter most in a niche, such as government awards, licences in a regulated sector or industry-specific registries, sit in sources a general database does not cover.
PDPA and outreach
Business contact information, such as a work email or office number, is outside the PDPA’s data protection provisions unless it was provided solely for personal purposes. That does not settle everything: calls and texts to Singapore numbers fall under the Do Not Call provisions unless the B2B exclusion applies, and numbers obtained through address-harvesting software or dictionary attacks may not be used at all. Bulk commercial email is covered by the Spam Control Act. Our guide to B2B outreach under the PDPA and DNC rules explains each point with PDPC sources. Ask any database provider how its data was collected.
When to choose each
A contact database on its own suits you when:
- your market is large and your offer broadly relevant;
- deal sizes are modest and you need many first conversations; or
- you already have a clear profile and mainly need contact details.
Signal-based lead generation suits you when:
- your market is defined and each deal matters;
- purchases in your category follow visible events; or
- your list-based outreach is reaching the right people at the wrong time.
Combine them when you want both: signals to choose the company and the moment, a database to find the person.
Where FYAdvisers fits
FYAdvisers runs signal-based lead generation as a done-for-you service. We track niche signals such as regulatory filings, funding news, GeBIZ awards and industry data sources, research each account and the right contact, draft outreach you approve and hand replies to your sales team. If you already pay for a contact database, we can work alongside it. See the signal library for the events we watch and where they come from.
Frequently asked questions
What is a B2B contact database?
A B2B contact database is a searchable store of company and contact records, such as names, job titles, work emails and phone numbers, that you can filter by industry, size, location and role, then export to your CRM or outreach tool.
Is Apollo or ZoomInfo better?
It depends on budget, region and how much data you need. Apollo publishes a free plan and self-serve paid plans; ZoomInfo sells packages by quote. Ask both for coverage of your actual target accounts in Singapore before choosing, because coverage varies by market.
What is an alternative to Apollo and ZoomInfo?
Other databases exist, but if the problem is that your list does not reply, a different list may not help. Changing when and why you contact each company, for example after a contract award or a relevant hire, addresses timing rather than data.
Can signal-based lead generation replace a contact database?
Usually not entirely. Signals tell you which company to approach, but you still need the right person and a way to reach them. Many teams keep a database for that step and use signals to decide who to look up.