iris vs Apollo.io
iris focuses on quality conversations; Apollo focuses on database scale.
why iris?
drafted per contact, not templated
iris reads each contact's profile and writes a fresh message against your campaign brief. Apollo sequences run on liquid templates with merge tokens - faster to set up, but readers can usually tell.
multi-channel from one inbox
iris sends across email, Instagram, and Twitter, threading every reply back into one conversation per contact. Apollo is email-first; social channels are not the core flow.
discovery is fit-scored, not unbounded
iris discovery returns 20-200 enriched contacts with a fit score. Apollo returns thousands and asks you to filter. opposite philosophies.
no contact-data resale model
iris uses public data sources (Google Maps, public Instagram and Twitter profiles). it doesn't ship with a proprietary B2B database, so there's no list-buying step before you can send.
feature comparison
| feature | iris | Apollo.io |
|---|---|---|
| B2B contact database (size) | public sources | 275M+ contacts |
| per-contact AI drafting | ||
| liquid templates with merge fields | ||
| Instagram DM outreach | ||
| Twitter DM outreach | ||
| unified multi-channel inbox | email only | |
| fit-scored discovery | ||
| AI-generated target profiles | ||
| API access for AI agents | ||
| best for high-volume B2B prospecting |
the verdict
pick Apollo if you want a giant database to mine and you're running templated sequences at high volume. pick iris if your sales motion depends on the message being right, not just the list being big - and if you want social channels in the same inbox as email.
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