Avoma vs Hunter
Avoma and Hunter are both Sales engagement & outbound tools. Here is how they compare on pricing, audience, platforms and community votes.
AI meeting notes, scheduling and conversation intelligence for sales
Find and verify professional email addresses
| Pricing | Paid · $29 | Freemium · $49 |
| Built for | Small businesses, Enterprise | Small businesses, Freelancers |
| Platforms | web | web |
| Country | US | FR · 2015 |
| Community votes | 0 | 0 |
| Rating | — | — |
Avoma
Avoma is a US-based AI meeting assistant that records, transcribes and summarizes calls, then extends into scheduling, lead routing, conversation intelligence and revenue intelligence. It is aimed at sales, customer success and recruiting teams that want call notes, CRM updates and coaching insights in one tool instead of stitching together a notetaker, a scheduler and a separate coaching platform.
The core plan records Zoom, Google Meet and Microsoft Teams meetings, transcribes in more than 70 languages, writes AI notes from templates, drafts follow-up emails and pushes notes and fields into Salesforce, HubSpot or Pipedrive. Ask Avoma answers questions about a meeting or, on Enterprise, across all meetings. Paid seats are only needed for people who record; viewers are free. Conversation Intelligence (call scoring, talk patterns, topic trackers), Revenue Intelligence (deal and churn risk, MEDDIC or BANT scoring, forecasting) and Lead Router are sold as per-seat add-ons.
Avoma fits SMB and mid-market revenue teams that want Gong-style insight at a fraction of the price. Gong is deeper for large sales organizations, Fireflies and Otter are cheaper if you only need transcripts, and tl;dv is lighter and friendlier for product and research calls.
Buying tip: annual billing saves up to a third on the base plan, but add-ons quickly double the per-seat cost, so trial the Organization plan for 14 days with all add-ons enabled and keep only the ones reps actually use. Avoma also offers an MCP server and API that expose meeting transcripts and notes to AI assistants.
Hunter
Hunter is an email finding and verification service founded in Paris in 2015 by François Grante and Antoine Finkelstein. It helps marketers, recruiters, PR people and founders find the professional email address of a specific person or company, then check that the address is deliverable before sending.
Domain Search lists the public email addresses and naming pattern found for a company domain, each with sources and a confidence score. Email Finder guesses a person's address from their name and domain, Email Verifier checks deliverability through SMTP and other signals, and bulk tasks run the same jobs on uploaded lists. Campaigns sends simple personalized sequences from a connected Gmail or Outlook account, a Chrome extension surfaces emails on any website, and an API and integrations push data into CRMs such as HubSpot, Pipedrive and Salesforce. A free plan includes a small monthly pool of credits for searches and verifications; paid plans scale that credit pool.
Hunter suits people who need accurate emails without buying a large sales database. It is transparent about sources and GDPR-conscious, which matters in Europe. It does not provide phone numbers or detailed firmographic filters, its database is smaller than Apollo's, and Campaigns is basic compared with Lemlist or Instantly. Apollo bundles data and sequencing, Lusha adds phone numbers, and Snov.io or Dropcontact are close alternatives for finding and enrichment.