Haku vs Apollo: which is right for your outbound team?

Apollo is the most widely used B2B contact database in the world. Haku is a signal intelligence platform built to solve the problem Apollo was never designed to address: not who exists in your market, but who you should contact today — and why they will pick up.

Cameron Evans · Founder & CEO, Haku

3 June 2026 · 8 min read

We built Haku because we believed the outbound problem was not a data volume problem. Apollo has 275 million contacts. ZoomInfo has 321 million. The teams with the best outbound results are not the ones with the biggest database — they are the ones who know which 50 accounts to contact this week, verified to the number that still works, with a specific reason to reach out that makes the first line of the email impossible to ignore.

That is a fundamentally different product from a searchable contact database. This comparison is written honestly — we will tell you where Apollo is the better choice, where Haku is, and where the two tools complement each other.

What each product actually is

The honest numbers

Where Apollo wins

Apollo is genuinely strong for specific use cases and we will not pretend otherwise. If you are a solo founder or a small team testing outbound for the first time, Apollo's free tier — 10,000 email credits per month, the Chrome extension, AI assistant, basic sequencing — is the most generous starting point in the market. Nothing comparable exists at zero cost.

For US-focused outbound teams prospecting into mid-market accounts, Apollo's database is workable at the 80 to 88% accuracy range, particularly following the waterfall enrichment improvement that shipped in late 2025. The consolidation of database, sequencing, and dialer in one platform at $49 to $119 per user per month is a genuine simplification for early-stage teams who cannot yet justify a fragmented stack.

Apollo wins on: price at entry level, volume of contacts in the US, consolidation of tools in one platform, and accessibility for teams new to outbound.

Where Haku wins

Haku was built to solve the problem that every Apollo user eventually hits: a large database of contacts with no reliable way to know which ones are worth contacting right now. The Apollo workflow is: search by filters, export a list, sequence the list, hope the timing is right. The Haku workflow is different by design.

Haku monitors every account in your target market continuously — tracking funding events, leadership hires, headcount growth, technology changes, and job postings. When a signal fires that matches your ICP, Haku surfaces the account, finds the right contact through waterfall enrichment across 17 providers, validates the email against live SMTP checks, and delivers the account to your rep with the specific signal context that makes the first message worth sending. The rep does not search. The rep does not build the list. The rep opens the morning briefing, sees ten signal-qualified accounts with verified contacts, and knows exactly why each one is worth a call today.

Haku wins on: signal-based timing, data accuracy and verification, EMEA coverage, bounce rate control, rep productivity, and the intelligence context that makes personalisation genuine rather than templated.

“Apollo tells you who exists in your market. Haku tells you who is in a buying window right now — verified, enriched, and delivered with the reason to reach out already written.”

Head to head — feature by feature

Which team should choose which

Can you use both?

Yes — and some teams do. Apollo's free or entry-level tier works well for ad-hoc LinkedIn prospecting and for testing new ICP segments before committing to a full outbound motion. Haku runs as the primary intelligence and enrichment layer for the core outbound programme — monitoring signals, validating contacts, and building the daily list that feeds into the sequencing tool.

The typical transition pattern is: teams start on Apollo, hit the data quality ceiling (rising bounce rates, declining reply rates, reps spending too much time on research), and add Haku as the intelligence layer that solves all three problems simultaneously. The Apollo database remains useful for exploration and LinkedIn work. Haku becomes the primary source for the outbound programme.