Hunter connector

Use your Hunter data for reporting, automation and AI.

Data Panda brings your Hunter domain searches, email finds, verifications and Campaigns activity together with the data from the rest of your business. From one place, we turn it into dashboards, automations, AI workflows and custom apps your team uses every day.

About Hunter

Email finder and verifier before the platform creep.

Hunter was founded in 2015 by Antoine Finkelstein and Francois Grante, originally as Email Hunter, with French roots and a fully distributed team. The product stayed narrow on purpose: a domain search that lists the public email pattern and known addresses for a company, an email finder that proposes the most likely address for a named person at a domain, an email verifier that checks deliverability, plus Hunter Leads for list management and Hunter Campaigns for lightweight cold-email sending.

The reach is wider than the size of the team would suggest. Hunter reports more than three million users on the freemium tier and lists Google, Adobe and IBM among its customer logos, with a freemium-to-paid funnel that gets the tool in front of an SDR before a procurement form does. The pricing sits well below the full sales-intelligence platforms, and the API is documented openly enough that engineering teams use it as a drop-in email-finder behind their own forms and CRMs.

The reason to land Hunter in a warehouse is that the email-finder credit only earns its keep when bounce rate, reply rate and the meeting that came after sit next to it. Verification pass rate per domain pattern, credit spend per booked reply on Campaigns, and the freemium-versus-paid usage split inside the team all live across Hunter, the CRM and the engagement tool. Inside the Hunter dashboard those numbers stay an internal usage report; in a warehouse they become a real outbound-budget metric.

What your Hunter data is for

What you get once Hunter is connected.

Email-finder spend versus reply yield

Hunter credit burn, verification status and Campaigns activity sitting next to CRM outcome and pipeline.

Bounce rate before and after the Hunter verify, per domain pattern
Credits spent per booked reply on Campaigns, per ICP segment
Freemium-versus-paid usage split across the team and over time

Lookup feeding the right tool

A Hunter find and verify lands the contact in the CRM and the engagement tool without rekeying.

Verified email pushes onto the matching CRM contact with the verification status preserved
ICP-matched find triggers the right Salesloft, Outreach or Campaigns sequence
A bounced address routes to a re-find queue with the original domain pattern tagged

AI workflows on email-finder data

Train scoring on the slice of contacts that already passed Hunter's verify.

Reply-likelihood scoring on Hunter-verified contacts per persona and domain pattern
Bounce-risk prediction on cached addresses before another credit is spent
Pattern-confidence model on domains where Hunter's confidence score is borderline

Custom apps on your Hunter data

Internal tools for SDR leadership, RevOps and finance.

Credit-spend dashboard split by user, team and ICP segment
Verification-pass and bounce tracker per domain pattern over time
ICP coverage view of target accounts with no Hunter-verified contact yet

Use cases

Use cases we deliver with Hunter data.

A list of concrete reports, automations and AI features we have built on Hunter data. Pick the one that matches your situation.

Bounce before vs afterEmail bounce rate on the lookup batch before and after the Hunter verify.

Credit per replyHunter credits spent per booked reply on Campaigns and on connected sequences.

Domain-pattern yieldReply rate split by the email pattern Hunter inferred for the domain.

Confidence score checkBounce and reply outcome tied back to the confidence score Hunter returned.

Campaigns vs sequencerReply yield on Hunter Campaigns against the engagement tool on the same accounts.

Freemium vs paid mixShare of finds and verifies coming from freemium seats versus paid seats.

ICP coverageShare of target accounts with at least one Hunter-verified contact.

API vs dashboard mixLookups via the public API versus the Hunter dashboard or extension.

Re-find queue sizeBounced contacts queued for a fresh Hunter find, by quarter.

Persona yieldFind-to-reply rate per persona and seniority band.

List decayBounce and job-change rate on cached Hunter contacts over time.

SDR ramp curveHow new SDRs ramp on Hunter across their first four quarters.

Real business questions

Answers you will finally get.

What is the bounce rate before and after the Hunter verify in our segment?

Email bounce rate on every Hunter find batch, split by the verifier status the API returned and the post-send result your engagement tool recorded. Tells SDR ops whether the verify step is doing real work in your ICP, or whether a particular domain pattern keeps bouncing after verification and needs a fresh find or a different source.

How many credits are we burning per booked reply on Hunter Campaigns?

Hunter find and verify credits joined to the Campaigns send, the open, the reply and the meeting that came after. Tells outbound leadership the cost per reply and per qualified meeting on the Campaigns line, instead of a flat credit count that says nothing about whether anyone wrote back.

Which Hunter domain patterns produce replies in our ICP?

Reply rate and bounce rate per inferred email pattern (first.last, first, flast, and the rest), split by ICP segment and persona. Surfaces the patterns where Hunter's guess holds up and the patterns where confidence rides high but the inbox routes the message to spam or to a shared alias nobody reads.

Value for everyone in the organisation

Where each function gets value.

For finance leaders

Hunter seat and credit spend tied to replies booked and meetings produced. Finance can see cost per reply and cost per meeting on the Hunter line and judge whether the freemium-plus-Campaigns motion is doing the work or whether the team is leaning on paid seats for finds that go nowhere.

For sales leaders

Verify status, bounce trend and reply yield on every account an SDR is touching. Reps stop guessing whether a domain pattern is going to deliver, and SDR leaders see the personas where Hunter's verify keeps bounce rate down and the segments where it does not.

For operations

Domain-pattern accuracy, ICP coverage and credit efficiency in one picture. RevOps spots the segments where Hunter's confidence score holds up and the segments where verified contacts still bounce or never reply.

Ideas

What you can automate with Hunter.

Pair with HubSpot

Land Hunter-verified contacts on HubSpot companies and contacts

Hunter find and verify results land on the matching HubSpot company and contact, with the inferred domain pattern, the verifier status and the credit cost stored on the contact record. Marketing builds workflows that only fire on contacts whose Hunter verify passed inside the quarter, and AEs open a record and see whether the email they are about to mail was verified yesterday or six months ago.

Pair with Salesforce

Push Hunter finds onto Salesforce leads, contacts and accounts

A Hunter find on a named lead or a domain search lands the verified email and the Hunter confidence score on the matching Salesforce lead, contact and account. RevOps writes validation rules that warn before a sequence fires on a contact whose Hunter verify is older than the freshness threshold, and pipeline reporting can split opportunity outcome by whether the originating email came from Hunter or from another source.

Pair with Salesloft

Feed Salesloft cadences from a verified Hunter find

When an SDR pulls a contact from Hunter for an ICP-matched account, the verified email and confidence score land on the matching Salesloft person and the contact enters the right cadence with the verify timestamp tagged. SDR leadership compares reply yield on Hunter-verified cadences against the rest of the contact base, and a post-send bounce on a Hunter-verified contact triggers an automatic re-find record next to the cadence event.

Pair with Apollo.io

Run Hunter and Apollo side by side and compare email accuracy

Teams that already pay for Apollo's bundled database often keep Hunter on the side for niche domains where Apollo's coverage thins out. We land find volume, verify status and post-send bounce from each platform on the same person and account, so SDR leadership can see in numbers whether the cheaper Hunter find still beats Apollo on the long-tail domains, before either contract is renewed.

Your existing tools

Your data lands in a warehouse. Your BI tools read from it.

You keep the reporting tool you already have. We connect it to the warehouse where your Hunter data lives.

Power BI Microsoft

Fabric Microsoft

Snowflake Data warehouse

BigQuery Google

Tableau Visualisation

Excel Sheets & pivots

Three steps

From Hunter to answers in three steps.

Connect securely

OAuth authentication. Read-only by default. We sign a DPA and your admin keeps the keys.

Land in your warehouse

Data flows into your warehouse on your schedule. Near real time or nightly, your call. You own the data.

Reporting, automation, AI

We build the first dashboard, workflow or AI feature with you, then hand over the keys. Or we stay on for ongoing delivery.

Two ways to work with us

Pick the track that fits how you work.

Track 01

Self-serve

We set up the foundation. Your team builds on top.

Hunter connector configured and running
Warehouse set up in your cloud account
Clean access for your Power BI, Fabric or Tableau team
Documentation on what's in the data model
Sync monitoring so you're warned before reports break

Best fit Teams that already have a BI analyst or data engineer and want to own the build.

Track 02

Done for you

We build the whole thing, end to end.

Everything in Self-serve
Dashboards built to the questions your team actually asks
Automations between your systems
AI workflows scoped to real tasks your team runs
Custom apps where a dashboard does not cut it
Ongoing delivery at a pace that fits your team

Best fit Teams without in-house BI or dev capacity. You tell us what you need and we deliver it.

Before you book

Frequently asked questions.

Who owns the data?

You do. It lands in your warehouse, on your cloud account. We don't resell or aggregate it. If you stop working with us, the warehouse stays yours and keeps running.

How fresh is the data?

Near real time for most operational systems. For heavier sources we schedule hourly or nightly. You pick based on what the reports need.

Do I need a warehouse already?

No. If you don't have one, we help you pick one and set it up as part of the first delivery. Common starting points are Snowflake, Microsoft Fabric, or a small Postgres start.

Where does Hunter sit next to Apollo or ZoomInfo for our team?

ZoomInfo sells the deepest enterprise contact graph at enterprise pricing. Apollo bundles a broad database with sequences and a dialler under one login. Hunter is narrower on purpose: an email finder, a verifier, a domain search, plus the lightweight Campaigns layer for cold-mail sending. Pricing starts on a free tier and scales linearly with credits. Teams that need a phone number or an intent signal still reach for a platform; teams that need a verified email at the lowest cost per find typically keep Hunter in the stack. We can put find volume, verify pass rate and reply yield from each platform side by side on the same accounts so the choice rests on numbers from your segment.

Should Hunter Campaigns replace our cold-email sequencer?

For a small SDR team that already lives in Hunter, Campaigns covers cold-mail sequencing without a second tool, and the find-verify-send loop stays in one place. For teams running multi-touch sequences with calls, LinkedIn steps and shared inboxes across reps, the dedicated sequencer usually still wins on workflow and reporting depth. We land Campaigns send, open, reply and meeting events next to the equivalent activity in Salesloft, Outreach or Klenty, so leadership can compare reply yield and cost per meeting on the same contacts before consolidating the spend.

GDPR-compliant

Data stays in the EU

You own the warehouse

A first deliverable live in four to six weeks.

We review your Hunter setup and the systems around it. Together we pick the first thing worth building.

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