Dropcontact connector

Use your Dropcontact data for reporting, automation and AI.

Data Panda brings your Dropcontact enrichment jobs, verified emails, deduplication results and credit usage 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.

Data Panda Reporting Automation AI Apps
Dropcontact logo
About Dropcontact

GDPR-by-design email finder, built in France.

Dropcontact is a French B2B contact enrichment platform founded in 2016 in Paris by Denis Cohen, the current CEO. The product covers the same job a Hunter or an Apollo covers (find a verified email for a named person at a domain, enrich the contact and the company, deduplicate the CRM) and adds civility normalisation, name standardisation and SIREN-code lookups for French entities on top.

The architectural difference shapes everything else. Where most enrichment tools query a pre-scraped database of contacts, Dropcontact runs proprietary algorithms and SMTP test servers in real time, hosted exclusively inside the European Union, and stores no personal data after the lookup. The CNIL (France's data protection authority) audited the company in late 2019 and closed the file in November 2020 without sanction. For Belgian and French sales teams whose DPO scrutinises every outbound stack item, that is the line that decides which tool gets approved.

Native one-click integrations exist for Pipedrive, HubSpot, monday and folk; Salesforce and Zoho integrations are on the roadmap. Beyond the native side, the public API plus connectors on Zapier, Make and n8n let teams plug Dropcontact into Lemlist, La Growth Machine, Phantombuster, Airtable, Google Sheets and the rest of the prospecting stack. Pricing scales linearly with credits per month rather than per seat, which makes the unit economics clear once you can see the cost per verified contact next to the reply that came after.

What your Dropcontact data is for

What you get once Dropcontact is connected.

Verified-contact spend versus reply yield

Dropcontact credit burn, verification status and dedup activity sitting next to CRM outcome and pipeline.

  • Cost per verified contact, split by ICP segment and target persona
  • Reply rate and bounce rate after the Dropcontact verify, per domain pattern
  • Duplicate-merge volume per CRM and the time saved against the manual baseline

Enrichment job feeding the right tool

A Dropcontact job lands the verified contact in the CRM and the engagement tool without rekeying.

  • Verified email and normalised civility push onto the matching HubSpot, Pipedrive or monday record
  • Dedup result triggers an automatic merge with the surviving record tagged in the CRM
  • ICP-matched enrichment routes the contact into the right Lemlist or La Growth Machine sequence

AI workflows on enrichment data

Train scoring on the slice of contacts that already passed the Dropcontact verify.

  • Reply-likelihood scoring on Dropcontact-verified contacts, per persona and domain pattern
  • Job-change detection on cached contacts before another credit is spent
  • Confidence-band model on borderline domains where Dropcontact returned a partial result

Custom apps on your Dropcontact data

Internal tools for SDR leadership, RevOps and finance.

  • Credit-spend dashboard split by user, team and ICP segment
  • Dedup tracker per CRM with merged-versus-survived counts over time
  • ICP coverage view of target accounts with no Dropcontact-verified contact yet
Use cases

Use cases we deliver with Dropcontact data.

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

Cost per verified contactDropcontact credit spend per contact whose email passed the verify, by ICP segment.
Bounce before vs afterEmail bounce rate on the enrichment batch before and after the Dropcontact verify.
Reply per creditReplies and meetings booked per Dropcontact credit, per outbound channel.
Dedup volume per CRMNumber of duplicates Dropcontact merged in HubSpot, Pipedrive and monday, per quarter.
Civility fix rateShare of contacts where Dropcontact corrected the salutation, first name or last name on import.
Job-change detectionContacts flagged by Dropcontact as having changed company since the last enrichment.
ICP coverageShare of target accounts with at least one Dropcontact-verified contact.
Native vs API mixEnrichment volume coming from the native CRM integration versus the public API.
Catch-all yieldReply rate on contacts whose verify came back catch-all rather than fully validated.
Re-enrichment queueCached contacts queued for a fresh Dropcontact run, by quarter.
Persona yieldVerify-to-reply rate per persona and seniority band.
Belgian-domain coverageVerify pass rate on .be and Belgian-hosted domains versus the rest of the EU.
Real business questions

Answers you will finally get.

What does a verified Dropcontact contact really cost us?

Dropcontact credits joined to the enrichment job result and the post-send outcome from the engagement tool. Tells finance and SDR ops the cost per verified contact and per booked reply on the Dropcontact line, instead of a flat credit count that hides the verifies that came back catch-all and never produced anything.

Is the Dropcontact dedup really clearing our CRM?

Merge events from Dropcontact landed next to the surviving CRM record and the deal history attached to it. Surfaces whether duplicates keep coming back through the same import source, which CRM owners merged the most records in the quarter, and whether the dedup is keeping up with new lead inflow or losing ground.

Where does Dropcontact's verify hold up and where does it slip?

Bounce rate after the Dropcontact verify split by domain pattern, ESP (Microsoft 365, Google Workspace, OVH, Proximus and the rest), country and persona seniority. Shows the segments where the verify is doing real work and the segments (typical: small Belgian and French domains on niche hosting) where the verify status reads green but the message still bounces or routes to spam.

Value for everyone in the organisation

Where each function gets value.

For finance leaders

Dropcontact credit packs and seat costs tied to verified contacts produced and replies booked. Finance can read cost per verified contact and cost per booked reply per quarter and judge whether the credit pack is right-sized, instead of guessing at renewal time.

For sales leaders

Verify status, civility correction and dedup history on every contact an SDR opens in the CRM. Reps stop second-guessing the salutation and stop mailing duplicates, and SDR leaders see the personas where Dropcontact's verify keeps bounce rate down and the segments where it does not.

For operations

Verify accuracy by domain pattern, dedup yield by CRM and ICP coverage in one picture. RevOps spots the import sources that keep producing duplicates and the segments where the verify status is reliable enough to drop a manual review step.

Ideas

What you can automate with Dropcontact.

Pair with HubSpot

Enrich and dedupe HubSpot contacts on import

Every new HubSpot contact runs through Dropcontact for email verification, civility normalisation and company enrichment, with the verify status, the SIREN code (where applicable) and the credit cost stored on the contact record. Dropcontact's dedup logic merges duplicates inside HubSpot and tags the surviving record. Marketing builds workflows that only fire on contacts whose Dropcontact 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 Pipedrive

One-click Dropcontact enrichment on Pipedrive deals

On the named Pipedrive integration, Dropcontact runs on the contact attached to a deal in one click and lands the verified email, the civility, the LinkedIn URL and the company info on the matching person and organisation record. Dedup runs in the background so the same contact does not show up under two organisations. Pipeline reporting splits won-deal yield by whether the originating contact came in Dropcontact-verified or unverified, so RevOps can argue the credit-pack against actual deal outcome.

Pair with monday.com

Run Dropcontact on monday CRM boards

Dropcontact's native monday integration enriches the contact items on a monday CRM board with verified email, civility and company data, and surfaces duplicates in a dedicated view. Sales operations sets a board automation that re-runs Dropcontact on contacts older than the freshness threshold (typical: ninety days), and a finance dashboard shows credit consumption per board owner so the cost lands on the team that triggered it.

Pair with Salesforce

Sync Dropcontact verifies into Salesforce leads and accounts

While the native Salesforce integration is on the Dropcontact roadmap, the public API plus Make or n8n already lets teams push Dropcontact verifies, civility corrections and company data onto the matching Salesforce lead, contact and account, with the credit cost and the verify timestamp stored. RevOps writes validation rules that warn before a sequence fires on a contact whose Dropcontact verify is older than the freshness threshold, and pipeline reporting can split opportunity outcome by whether the originating email came in Dropcontact-verified or not.

Pair with Google Sheets

Bulk-enrich a Google Sheet of leads with Dropcontact

The Dropcontact Google Sheets extension takes a sheet of leads (first name, last name, company website) and fills in the verified email, the civility, the LinkedIn URL and the company info, row by row, with the verify status logged in a dedicated column. The enriched sheet then routes the verified rows into the CRM and the bounced or catch-all rows into a separate review queue, and we land the run history in the warehouse so a finance dashboard can show credit consumption per sheet and per uploader.

Pair with Airtable

Land Dropcontact enrichment results in an Airtable working base

Marketing and growth teams that run their target-account list in Airtable trigger Dropcontact through Make or Zapier on every new record, and the verified email, the civility, the company data and the verify status land back in the Airtable record. A linked view shows the share of target accounts with at least one Dropcontact-verified contact, the bounced rows that need a re-find, and the credit cost per account so the working base reads as a real prospecting tracker rather than a static list.

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 Dropcontact data lives.

Power BI logo
Power BI Microsoft
Microsoft Fabric logo
Fabric Microsoft
Snowflake logo
Snowflake Data warehouse
Google BigQuery logo
BigQuery Google
Tableau logo
Tableau Visualisation
Microsoft Excel logo
Excel Sheets & pivots
Three steps

From Dropcontact to answers in three steps.

01

Connect securely

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

02

Land in your warehouse

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

03

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.

  • Dropcontact 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 Dropcontact sit next to Apollo or ZoomInfo for our team?

ZoomInfo and Apollo run on pre-scraped contact databases hosted in the United States and bundle the database with sequencing, dialling and intent signals. Dropcontact runs the opposite model: proprietary algorithms and SMTP test servers in real time, no stored personal data, EU-only hosting, with the CNIL audit closed without sanction in 2020. For Belgian and French teams whose DPO has to sign off the prospecting stack, that GDPR posture is the difference between an approval and a redo. Apollo and ZoomInfo still win on enriched intent and on phone numbers; Dropcontact wins on email verification, on dedup inside the CRM and on regulatory comfort. We can land 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.

How do we size the right Dropcontact credit pack?

Dropcontact prices on credits per month rather than per seat, which keeps the unit cost honest as long as you can read it. We land credit consumption per user, per ICP segment and per outbound channel next to the verify outcome and the reply that came after, so finance can size the pack on actual need. The dashboard surfaces the verifies that came back catch-all (the credit was spent but the address is uncertain), the merges that came from a single import source (a candidate to fix at the form rather than at the dedup) and the contacts older than the freshness threshold (a candidate for a re-enrichment run before the next sequence fires).

GDPR-compliant
Data stays in the EU
You own the warehouse

A first deliverable live in four to six weeks.

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