Dropcontact vs Datagma
Both are EU-made, GDPR-first B2B enrichment tools, but they aim at different jobs: Dropcontact is the algorithmic email and company purist, Datagma adds real-time mobile numbers and buying signals. Here is how they compare on data, coverage, pricing, and reviews.
By Rahul Bageria, co-founder · Updated June 2026
Same GDPR roots, different reach
Both are French, EU-hosted and GDPR-first. They split on what you need past a clean email.
Algorithmic email finding and verification with no scraping, plus CRM-native cleaning, deduplication and merging. Email and company data only, no phone numbers.
Real-time email and a standout mobile-phone finder, plus job-change detection and a WhatsApp integration, billed on a credit model where one number costs 30 credits.
- ✓You want defensible, no-scraping email and company data
- ✓CRM hygiene and deduplication matter as much as finding
- ✓Your contacts are mostly French and EU
- ✓You need mobile phone numbers alongside emails
- ✓Job-change and new-hire signals drive your outreach
- ✓You want a WhatsApp step and French and EU phone accuracy
Short on time? We'll tell you which fits your data needs.
What each tool actually is
Dropcontact
A French, EU-hosted B2B email finding and enrichment tool built on algorithms with no database scraping. It finds and verifies emails, including catch-all checks, and cleans, deduplicates and merges records inside the CRM. Best for teams that want defensible, no-scraping email and company data, especially on French and EU contacts.
Visit DropcontactDatagma
A French B2B enrichment tool with real-time email finding and a standout mobile and phone finder, run with no static database. It adds job-change and new-hire detection, a WhatsApp integration and a Sales Navigator extension. Best for phone-led outbound and teams that act on buying signals across France and the EU.
Visit DatagmaDropcontact vs Datagma, side by side
The facts that decide it, verified from each tool's official site in June 2026.
| Dimension | Dropcontact | Datagma |
|---|---|---|
| Best for | Clean email and company data, CRM hygiene | Mobile numbers and buying signals |
| Core focus | Email and company enrichment | Email and mobile-phone finding |
| Mobile phone finder | No, email and company only | Yes, 30 credits per number |
| Data model | Algorithmic, no scraping, no stored database | Real-time, no static database |
| Billing model | Pay-per-success, 1 credit per email found | Pay-per-result, 1 credit per email, 30 per mobile |
| Buying signals | Company-change detection (Growth plan) | Job-change and new-hire detection |
| CRM hygiene | In-CRM cleaning, deduplication and merging | Enrichment and finding, no native dedup |
| Entry price | €79/mo Starter, €120/mo Growth | $49/mo Regular, $99/mo Popular |
| Free option | 50-credit trial, no free plan | Free plan, 3 mobiles and 90 emails/mo |
| Native CRMs | HubSpot, Pipedrive, monday, folk | HubSpot |
Dropcontact is priced in EUR, Datagma in USD. Numbers verified June 2026, confirm the current plan on Dropcontact and Datagma before you buy.
What each one can and cannot do
A capability check, scored the same way for both tools.
| Capability | Dropcontact | Datagma |
|---|---|---|
| Email finding | ✓ | ✓ |
| Email and catch-all verification | ✓ | ✓ free catch-all |
| Mobile phone finder | ✕ | ✓ 30 credits each |
| No-scraping data model | ✓ algorithmic | ✓ no static database |
| CRM cleaning and deduplication | ✓ | ✕ |
| Job-change and new-hire signals | Limited company change, Growth | ✓ |
| WhatsApp integration | ✕ | ✓ |
| Sales Navigator extension | ✓ partner extensions | ✓ |
| Bulk file and CSV enrichment | ✓ | ✓ |
| API access | ✓ REST + MCP | ✓ all plans |
| Works inside Clay | ✓ | ✓ |
| Native CRM sync | ✓ HubSpot, Pipedrive | ✓ HubSpot |
"Limited" means available but not a core strength. Dropcontact flags company changes on its Growth plan rather than running full job-change and new-hire signals.
What real users say
Public review scores and the themes that come up most, checked June 2026. Counts drift, so the live links are the source of truth.
Dropcontact
Praised for: GDPR compliance and no scraping, which makes the data legally defensible on French and EU contacts, responsive support, and a clean API with CRM-native enrichment and deduplication.
Watch-outs: slow real-time enrichment, accuracy that drops outside France and the EU, and pay-per-search billing that can spend credits on misses.
Datagma
Praised for: mobile and phone accuracy, especially in France and the EU, ease of use and quick integration, and good value with a generous verified-email allowance.
Watch-outs: the email finder is the weaker side, a confusing credit and pricing structure, and a single-source model with no waterfall fallback.
Read the scores in context. Dropcontact's scores sit on real bases, 49 reviews on G2 and 23 on Capterra. Datagma's single G2 score rests on a small sample of 5 reviews, so read it as directional rather than proven. The live links are the source of truth, since counts drift over time.
Where each one actually wins
Six things separate these tools in practice. Here is the honest call on each.
GDPR and no-scraping purity
Edge: DropcontactBoth are French, EU-hosted and GDPR-minded, so this is close. Dropcontact takes it because its whole model is algorithmic with no database scraping, which is the cleanest legal story for French and EU contacts. Datagma also runs without a static database and keeps a strong GDPR stance, but Dropcontact's no-scraping purity is the core of what it sells.
Mobile and phone coverage
Edge: DatagmaThis is the clearest split. Datagma has a mobile and phone finder that users single out for French and EU accuracy, charged at 30 credits per number. Dropcontact does not find phone numbers at all, it is an email and company tool. If your outbound needs to dial or text, only one of these gives you the number.
CRM hygiene and deduplication
Edge: DropcontactDropcontact cleans, deduplicates and merges records inside the CRM, so it doubles as ongoing data hygiene rather than a one-time finder. Datagma focuses on real-time enrichment and phone finding and connects to HubSpot, Zapier and Make, but it is not built around the same in-CRM dedup and merge workflow. For keeping a CRM tidy, Dropcontact is the stronger fit.
Buying signals like job changes
Edge: DatagmaDatagma detects job changes and new hires, which gives outbound a timing trigger rather than a static list. Dropcontact flags company changes on its Growth plan, but signal detection is a side feature, not its focus. If you want to act on people moving roles, Datagma leans into that more directly.
Email find-rate
Edge: splitBoth find and verify emails, including catch-all checks, and both are strongest on French and EU data. Dropcontact's email finding is its core craft, while reviewers call the email side the weaker half of Datagma, which is built more around phones. Since each is single-source, results swing by list, so test both on your own data before committing.
Speed and predictability at volume
Edge: dependsDropcontact's real-time enrichment can run slow on large batches, and pay-per-search billing can spend credits on misses, so high volume gets costly and slow. Datagma's trap is the 30-credits-per-phone model, where phone-heavy outbound burns buckets fast and unused annual credits reset. Which bites depends on whether you are email-heavy or phone-heavy.
Want the right data tool picked for you?
We run both inside live campaigns. Tell us your data needs and we'll call it.
What each one costs in 2026
Verified from each official pricing page in June 2026. Read the credit model, not only the headline number.
Dropcontact
EUR / per credit- Starter
From 500 credits/mo, email enrichment, verification, API and MCP€79/mo - Growth
Adds carryover, LinkedIn enrichment, AI job classification, company-change detection€120/mo - Enterprise
From 200,000 credits/moCustom
50-credit free trial, no permanent free plan. Annual billing is 20% lower. One credit is one email found, pay-per-success.
Datagma
USD / per credit- Regular
100 mobiles and 3,000 emails/mo, 10 seats, API$49/mo - Popular
250 mobiles and 7,500 emails/mo$99/mo - Expert
750 mobiles and 22,500 emails/mo$249/mo
Free plan with 3 mobiles and 90 emails/mo. Annual billing is about 20% lower. One credit is one email, 30 credits is one mobile.
True cost at scale. The currencies and credit models differ, so map them to your own volume. Dropcontact charges per search and climbs fixed tiers, so high volume gets costly, and outside France and the EU lower find-rates roughly double the cost per valid contact. Datagma's trap is the 30-credits-per-phone model: Expert's 22,500 emails is only about 750 mobiles, there are no self-serve top-ups, and on annual plans unused credits reset.
What neither tool does well
Both are single-source enrichment tools, so they share the same blind spots. Worth knowing before you expect either to carry your whole motion.
Neither is a large prospecting database. You bring the list, and they enrich it. Building the target list is a separate job.
Each runs from one source, so a true multi-source waterfall would catch more contacts on a hard list than either does alone.
They find and clean data, but neither runs the outreach or surfaces which accounts are in-market right now.
Need the sending layer too? Start with a dedicated sender, see our best cold email tools for 2026. Want the right accounts found and timed for you? That is the signal-based outbound we run.
Our take, after running both
The choice is mostly about what you need past a clean email, not a feature count. Here is how we'd call it in three situations.
The no-scraping model and in-CRM deduplication give you defensible French and EU data that stays tidy, with no phone numbers in scope.
The mobile finder and job-change detection fit phone-led outbound, just watch the 30-credits-per-number model as you scale.
Each is single-source, so on hard lists a multi-source waterfall catches more. Use either as one feeder, not the whole stack.
Not sure which fits? We run signal-based outbound for early-stage teams and will tell you straight.
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Co-founder of Real Good GTM. He has been the first business hire and Chief of Staff across seed and pre-seed B2B startups like Palm.ai and Cef.ai, building sales engines from nothing, with a strategy foundation from AWS and Accenture. This comparison comes from running these tools on live campaigns, not from a spec sheet.
Connect on LinkedInQuestions buyers ask
Is Datagma better than Dropcontact?
Does Dropcontact find mobile phone numbers?
Which is cheaper, Dropcontact or Datagma?
Which has more accurate French and EU data?
Which is better for CRM data hygiene?
Which has better reviews, Dropcontact or Datagma?
Can Dropcontact or Datagma replace a full waterfall enrichment tool?
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