Haku vs Apollo
Apollo is a static database of 244 million records. Four differences worth knowing before you choose.
Data Quality
Pay for leads you actually need. Not a 244 million record database you'll never use
- –A static database of 244 million records
- –You pay for the entire database, not just the records relevant to you
- –Data is not validated in real time, records go stale
- –One data source means gaps and inaccuracies go unchecked
- ✓All-in-one top-of-funnel prospecting tool, not a static database
- ✓Validates data across 17 different providers, including Apollo
- ✓You only pay for the relevant leads you actually need
- ✓Multi-source validation means higher accuracy and fresher data
Deep Company Learning, Not Zero Customisation
AI that learns from your blueprint. Not a tool that knows nothing about how you sell
- –Zero customisation around who you are or what you sell
- –No way to input your value proposition, pain points, or case studies
- –Makes no attempt to learn your messaging or go-to-market approach
- –Every rep gets the same generic, assumption-based output
- ✓Reps teach Haku directly: solutions, pain points, case studies
- ✓Upload real outreach examples that have resonated
- ✓Haku learns your voice, tone, and GTM blueprint
- ✓Each rep shapes how Haku represents them in market
- ✓Recommendations grounded in your methodology, not AI trends
Multichannel Cadencing, Not Just Emails
Automate across every channel, not just one. Keep your sales team focused on selling
- –Only automates emails, everything else is a manual task
- –Reps must manually send LinkedIn connections, like posts, and send LinkedIn messages
- –Sales team time is lost on low-value, non-selling admin
- –Automated emails have no grounding in your business or messaging
- ✓Emails and LinkedIn messages are completely bespoke, aligned with your GTM blueprint
- ✓Low-value tasks like LinkedIn connections and profile views are fully automated
- ✓Sales team time is protected for high-value selling activity
- ✓Every touchpoint in the sequence reflects how you want to go to market
Signal Customisation
Track signals unique to your business. Not generic ones shared by every rep on the platform
- –Select from a fixed list of generic signals only
- –Same signals available to every user on the platform
- –Limited to broad triggers: hiring, funding, job changes
- –No way to track anything specific to your market
- ✓Create fully custom signals built around your business
- ✓Track criteria no one else can, e.g. public mentions of "buy and build" strategies
- ✓Signals bespoke to your ICP, not platform defaults
- ✓Surface intent your competitors aren't even looking for
In summary
Apollo is a static database of 244 million records. You pay for the entire catalogue to access the handful of leads that actually matter to you, and with a single data source, there's no guarantee those records are accurate or current. It has zero customisation around your business, no way to tell it who you are, what you sell, or how you go to market. Its sequencing only automates emails, leaving every other touchpoint as a manual task, so reps spend time on LinkedIn admin rather than selling. And its signals are the same generic triggers every other rep on the platform has access to.
Haku is built differently across all four areas. It validates data across 17 providers so you only pay for leads that are relevant and verified. It learns directly from your reps, your solutions, your pain points, your case studies, and your outreach examples, so every recommendation reflects how you actually sell. Its cadencing automates the full sequence, including low-value LinkedIn tasks, while generating emails and messages that are completely aligned with your GTM blueprint. And instead of a fixed signal menu, you build your own, whether that's tracking public mentions of "buy and build" strategies or any other trigger specific to your market.