TL;DR: France is still the easiest country in Europe for phone data providers to find mobiles. In our October 2026 data, 540 of 725 Kaspr numbers for French contacts were usable (74%). But when we dialled them, 10 of 46 reached the right person (22%). That is a small sample, and it matches the rest of Europe: a found mobile reaches the person about 1 time in 4 or 5. Keep your providers, keep directory data out, and check every number before your team dials.
74% usable.
That is what Kaspr gave us on French contacts. No other country we measured beat it on a sample that large. If you sell SaaS or IT into France, finding a mobile is the easy part.
Then the reps dial. And most of those clean French mobiles ring out, go to voicemail, or reach someone else.
Answrd is part of Profitbl, which runs cold calling campaigns across Europe. We ran the enrichments in this post and we dialled the numbers. Here is what holds up in France, what changed since our first benchmark, and the step that decides whether your reps talk to anyone.
Which phone providers work best for France?
In our data, the big LinkedIn-based providers all return clean French mobiles. Forager, Wiza and Datagma came back at 99% to 100% mobile format on French IT and SaaS lists. Kaspr-led stacks held near 100%. That is from our first benchmark (15,000 enrichments run in 2025 and 2026, published May 2026). The gap between them was 1 to 2 points. The gap between a clean stack and a messy one was 40 points.
Here is the short list, with the data behind each pick:
- Kaspr: 540 of 725 French numbers usable (74%), October 2026. We have dialled Kaspr numbers on our campaigns. It is the first step in our own waterfall.
- Forager: won 74% of phone finds as the first step on a 494-contact Paris-region IT and tech list (director and C-level), at 99.5% mobile format. 2025 to 2026.
- Wiza: 99.4% mobile format on a 157-contact French IT services list. It stayed at 99% to 100% on every French list where it ran. 2025 to 2026.
- Datagma: 100% mobile format on its French wins, at the end of the waterfall where it saw few contacts. 2025 to 2026.
- FullEnrich: 18 usable of 30 French contacts, run after Kaspr. October 2026.
- Tomba: found 10 of 29 French lookups, 9 usable, run after Kaspr. October 2026.
Each one ran in a different spot on a different list, so read the list as data points with dates. More on that bias below.
Why is France the easiest country to find numbers?
France is the easiest because French decision makers live on LinkedIn, many share a mobile on their profile, and the country has strong home-grown data tools. Kaspr started in France. That keeps the floor high for every provider.
Across the earlier runs (28 companies, 12 countries), French mobile quality ran from 93% to 100% across almost every provider we measured. Several French campaigns came back with zero landlines, zero foreign codes and zero broken numbers. We did not see that in any other country.
The October 2026 data backs it up. Here is Kaspr's usable rate by country:
- France: 540 of 725 (74%)
- Germany: 130 of 168 (77%), on a much smaller sample
- UK: 359 of 548 (66%)
- Netherlands: 155 of 239 (65%)
- Switzerland: 46 of 88 (52%)
- Belgium: 16 of 40 (40%)
France has the biggest sample and one of the best rates. Our Belgium post and Luxembourg post show what the bottom of this list looks like.
Does a found French mobile reach the right person?
About 1 time in 4 or 5. Of 46 usable Kaspr mobiles for French contacts that we dialled on live campaigns, 10 reached the right person. That is 22%, October 2026. Forty-six calls is a small sample, so read it as a direction. But it lines up with everything else we dialled.
Across Europe, the two biggest phone sources gave us the same picture (October 2026):
- Kaspr: 1,071 usable mobiles dialled, 301 reached the person (28%).
- Eficia: 233 usable mobiles dialled, 60 reached the person (26%).
When we published our first benchmark in May 2026, we promised an accuracy layer. This is it. A "usable" French mobile is the right format, in the right country, and not on a list of known bad numbers. It still rings out, goes to voicemail, or reaches someone else most of the time.
France finds well and reaches like everyone else. The Nordics reached better (Denmark and Sweden at 42% to 43% of dialled Kaspr mobiles), and the UK and Switzerland reached worse (about 20%). France sits near the low end of that range.
So the fill rate on your dashboard says 74%. Your reps feel 22%. For the full story on that gap, read why the waterfall hit rate lies. And if you think a new provider would fix it, read why Lusha and Kaspr mobiles reach the wrong person. Switching rarely helps.
Which provider should you add after Kaspr in France?
Add Tomba or FullEnrich after Kaspr. We ran both in October 2026 through looot, the data gateway we run these providers through. Both found French mobiles on contacts Kaspr had already missed. So their rates show what is left after the big provider, on the hardest contacts. Read them that way.
- Tomba: 10 of 29 French lookups found, 9 usable (October 2026). Across all countries it found about 13% usable on roughly 478 contacts, for about USD 3.34 in total. That is about USD 0.05 per usable number, the cheapest step we ran by far. It bills only on hits. It did best on Benelux and French contacts.
- FullEnrich: 18 usable of 30 French contacts (October 2026). Across all countries, 109 usable of 282, at about USD 0.75 per usable number. It costs more per number. It found people the cheaper steps missed.
Two more results matter for France:
- Eficia in France: 0 of 8 French numbers usable (October 2026). Eight is too small to judge. We use Eficia, and it gave 91 usable of 93 German numbers (October 2026). On France, we do not have enough data yet.
- The cheap tier: six low-cost providers found about 1% usable on roughly 250 senior European contacts (October 2026). We dropped them. Most of what they returned were US numbers for US-based people.
Our order today is Kaspr, then Tomba, then Eficia, then FullEnrich, then Lusha, AI Ark and Prospeo. We set it by cost per usable number. Profitbl cancelled Clay on 22 April 2026 and now runs this waterfall in-house, built in Claude Code. The full breakdown is in our European B2B data enrichment report.
What breaks French phone data?
Directory data breaks French phone data, more than any provider choice. On a 335-contact French CISO list where the stack mixed in directory scraping, 45% of the "found" phones were landlines (2025 to 2026). On French lists from LinkedIn-based sources only, landlines stayed below 5%. Same country, same senior security persona, 40 points apart.
Directories list company main lines. So a waterfall with a directory layer fills the phone column with switchboards. AI web scrapers and bulk data merges do the same. Forager, Wiza or Kaspr can run the find, and the switchboard is still in the record.
The fix is simple. Keep directory sources out of your French stack. If you cannot name the source of a record, treat its phone as unknown.
The French data protection authority, the CNIL, expects B2B contact data to be lawful, accurate and traceable to its source. You stay responsible for data you buy. Log which provider found each number. Then you can answer any prospect who asks where you got it.
How should you read these numbers?
Read them as field data with known limits. We did not run a clean head-to-head test where one French list passes through each provider alone.
- Position bias: the first provider in a waterfall sees every contact. Later ones only see the leftovers. Win shares from a waterfall measure position as much as quality. That is why Forager's 74% win share and Tomba's 9 usable cannot be compared one to one.
- Small samples: 46 dialled French Kaspr mobiles, 29 Tomba lookups, 30 FullEnrich contacts, 8 Eficia numbers. Treat each as a direction.
- Two time frames: the format and fill findings come from our first benchmark, run in 2025 and 2026. The usable rates, dial outcomes and the newer providers are October 2026.
- No affiliates: no provider paid for placement. Provider links go to their homepages.
What should a French SaaS outbound team do now?
Keep your providers, add one, and check every number before you dial. Here is the setup we would run on a French SaaS or IT list today:
- Start with a LinkedIn-based provider. Kaspr, Forager or Wiza. In France, any of them gives clean mobile formats.
- Add one or two steps for the gaps. Tomba is cheap and found French mobiles Kaspr missed. FullEnrich costs more and finds more.
- Keep directory data out. It is the biggest quality lever in our French data.
- Filter the obvious junk. French mobiles start with +33 6 or +33 7. Treat +33 1 to +33 5 and +33 9 as landlines on a senior contact. A foreign code on a French contact is usually the wrong number.
- Check every number before the team dials. The filter catches bad formats. It cannot tell you who picks up.
More providers means more numbers. More numbers also means more wrong ones. That is the job Answrd does. You upload the numbers your stack found and get back the ones that pick up, with wrong and dead ones flagged. The first 100 numbers are free.
Frequently Asked Questions
Which provider is best for France SaaS and IT phone data?
No single one, on our data. Kaspr gave 74% usable French numbers on 725 contacts (October 2026). Forager and Wiza both hit 99% or more mobile format on French IT lists (2025 to 2026). Pick one, then add a second for the gaps.
Why does France do better than other European countries?
French decision makers are active on LinkedIn, often share mobiles on their profiles, and France has strong home-grown tools like Kaspr. In our first benchmark, French mobile quality ran from 93% to 100% across providers.
How often does a French mobile reach the right person?
In our October 2026 data, 10 of 46 dialled Kaspr mobiles for French contacts reached the right person, 22%. The sample is small. Across Europe, about 1 in 4 dialled usable mobiles reached the person.
What should I add after Kaspr for French contacts?
Tomba and FullEnrich, on our October 2026 data. Run after Kaspr, Tomba found 10 of 29 French lookups (9 usable) and FullEnrich gave 18 usable of 30.
How do I spot bad French numbers before dialling?
French mobiles start with +33 6 or +33 7. Numbers from +33 1 to +33 5 and +33 9 are landlines. Foreign codes on French contacts are usually wrong. That filter catches format. It does not tell you if the right person answers.
Should my French list run through the same waterfall as my UK list?
No. UK senior lists at smaller companies come back with many switchboards. France does not. Our UK manufacturing post covers the UK setup. For other countries, see DACH, the Nordics and the Netherlands.
Find the French numbers, then check them
In France, phone data providers give you the cleanest mobiles in Europe. That makes it easy to trust them too much. In our data, a found French mobile reached the right person about 1 time in 4 or 5. Keep your providers, add a cheap second step, keep directories out, and judge your stack by who picks up.
Run your French list through a check before the next call block. Test 100 numbers free, no card needed. If you would rather talk it through, book a 15-minute call.