European B2B Data Enrichment in 2026: Who Finds Mobiles, and Who Reaches People

TL;DR: Our first benchmark (15,000 enrichments run in 2025 and 2026, published May 2026) gave European B2B data enrichment fill rates. This October 2026 update adds the part we promised: what happened when we dialled. Across 1,304 dialled mobiles from Kaspr and Eficia, about 1 in 4 reached the right person. Country still matters. Seniority matters more. A provider's win share mostly tells you where it sat in the waterfall. Keep your providers, add one or two where they are weak, and check every number before your team dials.

1 in 4.

That is how many "usable" mobiles from European B2B data enrichment reached the right person when we dialled them on live campaigns. We counted 1,304 dials from the two biggest phone sources we use. 361 reached the person we wanted. The rest rang out, hit voicemail or reached someone else.

In our first benchmark we could only tell you who finds numbers. Now we can tell you how many turn into a conversation. The fix is cheap, and it starts with the list you already have.

Answrd is part of Profitbl, which runs cold calling campaigns across Europe. This is the hub of our European data series. Each country post goes deeper on one market.

What changed in European B2B data enrichment since May 2026?

We added dial outcomes, tested more providers and moved our waterfall in-house.

• The accuracy layer is here. Our first benchmark measured fill rate only. It promised accuracy data for Q3 2026. We now have it: for each provider and country, we know how many dialled numbers reached the right person.
• We tested six more phone sources. Tomba, FullEnrich, Lusha, Prospeo, AI Ark and a tier of cheap providers ran on our hardest contacts in October 2026. All six came through looot, the data gateway we run these providers through.
• Our waterfall moved in-house. Profitbl cancelled Clay on 2026-04-22. We now run our own waterfall, built in Claude Code, with providers ordered by cost per usable number.
• The fill-rate findings from our first benchmark still hold. France still enriches cleanly. DACH broad cuts still enrich badly. Senior people at small companies still come back as switchboards.

How did we measure this?

We measured it on real campaigns, in two layers.

Our first benchmark. 15,000 contact enrichments, run in 2025 and 2026 and published in May 2026. They covered 90 campaigns for 28 companies, in 12 countries, through 22 providers. For each contact we logged phone fill, phone type, country-code match, the provider that found it, and the cohort.

Our October 2026 data. Numbers from our call logs and enrichment runs, pulled on 2026-10-25. The newer providers ran between 2026-10-07 and 2026-10-22.

We use three words through this post. They mean the same thing every time:

• Found: the provider returned a number.
• Usable: a mobile, in the contact's own country, that is not a number we already knew was bad. This is a simple format and country check.
• Reached the person: we dialled it on a real campaign and the right person answered.

We name every provider. We name no client. We describe every cohort by its shape, for example "461 senior IT and security contacts in Benelux, 50 to 249 staff".

Why does a provider's win share mislead?

Win share mostly measures where a provider sat in the waterfall. In a waterfall, the first provider sees every contact. The second sees only what the first missed. The last sees only the hardest leftovers.

Take 1,000 contacts and three providers. Provider A goes first and finds 700. Provider B gets the 300 left and finds 150. Provider C gets the last 150 and finds 50.

By win share, A owns 78% of the finds, B owns 17% and C owns 6%. B looks weak. But B found half of the hard contacts A had already missed. Run alone on all 1,000, B might beat A. You cannot tell from the waterfall.

Most waterfalls we saw ordered providers cheapest first, which hides how good the expensive ones at the end might be. So when you read any "who wins" chart, ours included, ask one question. Did each provider run on the same list, alone? If not, the chart shows position.

This matters for the October 2026 data too. The newer providers ran after Kaspr, and often after Eficia. Their rates show what is left after the big two. For how to order and gate a waterfall, read our guide to waterfall enrichment for phone numbers.

How many dialled mobiles reach the right person?

About 1 in 4. That is the accuracy layer our first benchmark promised for Q3 2026, and it is the most useful number in this update.

Here is what our teams saw when they dialled usable mobiles on live campaigns, October 2026:

• Kaspr: 2,111 of 2,879 checked numbers were usable (73%). We dialled 1,071 of them. 301 reached the person (28%). 18 were wrong or retired.
• Eficia: 471 of 503 checked numbers were usable (94%). We dialled 233. 60 reached the person (26%). 9 were wrong or retired.
• FullEnrich: 34 of 58 were usable. We dialled 8 and 5 reached the person. The sample is too small to call a rate.

A high usable rate does not buy a high reach rate. Eficia passed the check far more often than Kaspr. Once dialled, the two reached the person at about the same rate.

The drop from "usable" to "reached" is large for everyone. Some numbers rang out. Some went to voicemail. Some reached a colleague, a family member or a new owner of the number. We cover the last group in why Lusha and Kaspr mobiles reach the wrong person.

The reach rate also moves a lot by country. Kaspr, dialled numbers that reached the person, October 2026:

• Sweden: 18 of 42 (43%)
• Denmark: 25 of 59 (42%)
• Netherlands: 37 of 106 (35%)
• Germany: 22 of 87 (25%)
• France: 10 of 46 (22%)
• UK: 71 of 333 (21%)
• Switzerland: 8 of 40 (20%)
• Belgium: 8 of 19 (small n)
• Finland: 4 of 19 (small n)
• Poland: 4 of 21 (small n)
• Norway: 1 of 11 (small n)

The Nordics reach best. The UK and Switzerland reach worst, at about 1 in 5.

Which European countries are easiest to enrich and dial?

The Nordics and the Netherlands are the easiest to dial. France and tight German lists are the easiest to enrich. Belgium and Luxembourg are the hardest to enrich. The UK and Switzerland are the hardest to dial.

France

France fills best and dials middling. In our first benchmark, French mobile fill ran 70 to 95%, with mobile quality at 93 to 99%. Foreign numbers on France-only lists stayed under 3%. On a Paris IT and tech list of 494 C-level and director contacts, we saw 77% phone fill and 99.5% mobile quality.

In October 2026, 540 of 725 checked Kaspr numbers in France were usable (74%). But only 10 of 46 dialled reached the person (22%). The dial sample is small, so treat that as a warning sign. Eficia returned 0 usable of 8 French numbers.

The lesson from our first benchmark still holds: almost any major provider fills France well. The risk is mixing in directory-scraped sources, which pushed one senior cohort to a 45% landline rate. Full detail in the best data providers for France.

UK

The UK has a big pool and a low reach rate. In our 2025 to 2026 data, mid-market operations and director cohorts showed 90 to 95% mobile quality. Managing directors and CEOs at UK companies under 200 staff came back with 8 to 20% landlines on mixed waterfalls, and up to 36% from single providers.

In October 2026, 359 of 548 checked Kaspr numbers in the UK were usable (66%). Of 333 dialled, 71 reached the person (21%). That is the largest dial sample in this update, and one of the weakest results.

UK numbers also had the most dead lines. In a batch of 100 UK mobiles we checked in October 2026, 12 were not in service. Across all 1,195 B2B mobiles we checked that month, it was about 5%.

Persona drives the UK more than provider. Two posts break it down:

• UK manufacturing: on 458 managing directors, Wiza numbers held 96% mobile quality. On 166 operations leaders, 100% (2025 to 2026). Read the best data providers for UK manufacturing.
• UK retail marketing: across 580 enrichments in five campaigns, Forager placed first took 47% of phone wins on a 121-contact list, with clean mobiles (2025 to 2026). Read the best data providers for UK retail marketing.

Netherlands

The Netherlands works with almost every provider. In the earlier runs, Dutch lists showed 90 to 95% mobile quality and near-zero foreign numbers. On a 115-contact Dutch enterprise list, five providers returned 79 phones with no landlines.

In October 2026, 155 of 239 checked Kaspr numbers in the Netherlands were usable (65%). Of 106 dialled, 37 reached the person (35%). Eficia returned 20 usable of 21. Of 13 dialled, 3 reached the person. Full detail in Netherlands data enrichment: where every provider works.

Belgium

Belgium fills the worst of the big Western markets. In our first benchmark, Belgian mobile quality ranged from 65 to 92% depending on the persona. Founders and CEOs came back with 10 to 22% landlines.

October 2026 confirms it. Only 16 of 40 checked Kaspr numbers in Belgium were usable (40%). Only Luxembourg did worse. We dialled 19 and 8 reached the person. That sample is too small for a rate.

In Belgium, the persona you target moves the result more than the tool you pick. Read the best data providers for Belgium.

Luxembourg

Luxembourg is the hardest market in our data. In our 2025 to 2026 data, international law firms with Luxembourg offices showed 40% US numbers on returned mobiles. ContactOut returned 56% mobile quality on a Luxembourg finance and security cohort, its worst result anywhere.

In October 2026, Kaspr returned 13 Luxembourg numbers. None were usable. All were foreign mobiles or office lines. On a 461-contact senior Benelux waterfall, 20 of the misses had only a mobile from a neighbouring country. Luxembourg staff often carry Belgian or French phones, and those are almost always personal. Read Luxembourg data enrichment pitfalls.

DACH

DACH rewards tight lists and punishes broad ones. In the earlier runs, a 1,382-contact "DACH, 10 to 200 staff" cut returned 65 to 70% mobile quality, with 22% landlines on Swiss 11 to 50 staff lists. A 191-contact list of German marketing leaders and CEOs in one manufacturing niche returned 99% German mobile quality. Same stack. Different input list.

October 2026 adds the dial view:

• Germany, Kaspr: 130 usable of 168 (77%). 22 of 87 dialled reached the person (25%).
• Germany, Eficia: 91 usable of 93. 11 of 57 dialled reached the person (19%).
• Switzerland, Kaspr: 46 usable of 88 (52%). 8 of 40 dialled reached the person (20%).
• Switzerland, Eficia: 27 usable of 27. 0 of 14 dialled reached the person.
• Cheap tier on DACH: five low-cost providers found 3 usable of 71 senior security contacts in Germany, Austria and Switzerland (4%). On 60 Mittelstand and public-sector contacts, six cheap providers made 133 calls for 1 hit, a US number for a German contact. 0 usable.

The Swiss Eficia result shows numbers that pass every format check and still reach nobody. Read DACH enrichment: tight cuts vs broad.

Nordics

The Nordics are a phone market. In our first benchmark, Nordic email fill ran only 31 to 57%. Phone fill ran 70 to 90% or more, with 89% mobile quality on a 135-contact list where email fill was 31%.

October 2026 makes the case stronger. Nordic mobiles reach people better than anywhere else we dial:

• Denmark, Kaspr: 71 usable of 109 (65%). 25 of 59 dialled reached the person (42%).
• Sweden, Kaspr: 55 usable of 79 (70%). 18 of 42 dialled reached the person (43%).
• Finland, Kaspr: 40 usable of 61 (66%). 4 of 19 dialled reached the person (small n).
• Norway, Kaspr: 23 usable of 46 (50%). 1 of 11 dialled reached the person (small n).
• Danish referrals: nine cheaper providers found 0 of 5. FullEnrich found 5 of 5, and 3 of the 5 reached the person when dialled.

Call first in the Nordics. Email second. Read Nordics data enrichment: phone first.

For Spain, Italy, Portugal and Central Europe, our sample is too small to judge a provider.

Does seniority matter more than country?

Yes. In our 2025 to 2026 data, the gap between operations managers and managing directors in the same country was bigger than the gap between operations managers in two different countries.

The problem is landlines. Senior people at companies under 200 staff often sit behind the company switchboard. Tools that scrape directories or company websites return that switchboard as a "found" phone.

From our first benchmark:

• UK managing directors under 200 staff: ContactOut returned 60% mobiles and 36% landlines.
• 335 French security leaders, with directory sources merged in: 45% landlines, the highest rate in the study.
• 200 Swiss security directors, Kaspr plus directory scraping: 31% landlines.
• Operations, sales and technical leaders below the C-suite: 90% or more mobile quality in every country.

If you call CEOs at small European companies, expect 20 to 40% of "found phones" to be landlines or switchboards. Then expect about 1 in 4 of the usable mobiles to reach the person. Plan your list size around both numbers.

What did each provider show us?

Each provider has a pattern, and none wins everywhere.

Kaspr

Kaspr is the only provider we measured alone on a full list. In our first benchmark, it ran as a single first pass on a 274-contact list of industrial C-level contacts across Europe. It returned clean mobiles for 43% of them, across 16 countries, at about €0.69 per clean mobile at public pricing. Country-code accuracy before cleanup was 85%.

In October 2026, 73% of 2,879 checked Kaspr numbers were usable, and 28% of 1,071 dialled reached the person. On fresh lists, Kaspr filled 144 of 212 (68%) on a UK and European engineering leaders list, and 225 usable of 461 (49%) on a senior Benelux IT and security list. We have dialled Kaspr and Lusha numbers on our campaigns. Kaspr is our first step.

Eficia

Eficia returned the cleanest numbers on paper. We use Eficia in our own stack. In October 2026, 94% of 503 checked Eficia numbers were usable. 26% of 233 dialled reached the person. It costs about USD 0.27 per number.

It is strongest in Germany (91 usable of 93) and the Netherlands (20 of 21). Switzerland is the warning: 27 usable of 27, and 0 of 14 dialled reached the person. On the senior Benelux list, Eficia found 133 usable of 205 contacts that Kaspr and Tomba had missed (65%). 33 of its misses were wrong-country numbers.

FullEnrich

FullEnrich is the best specialist step we found for senior security people in Northern Europe. In October 2026, it found 109 usable of 282 contacts (39%), for about USD 77, or about USD 0.75 per usable number. Those were contacts Kaspr had already missed.

Where it shines, in October 2026:

• Danish senior contacts: 5 of 5.
• Dutch and Belgian senior security: 14 of 15.
• Netherlands, Belgium and Luxembourg senior contacts: 38 of 52.
• German and Belgian public-sector network leaders: a usable mobile for 3 of 11 contacts, for USD 1.92.

Where it struggles: after Eficia, on mid-level staff at global companies, it found 15 of 97, often US numbers or repeats.

Tomba

Tomba is the cheapest source per usable mobile we found. In October 2026, it found 63 usable of about 478 contacts (13%) for USD 3.34. That is about USD 0.05 per usable number. It bills on hits only.

It is best on Benelux (31 of 236) and France, and found 0 of 11 on German and Belgian public-sector contacts. It ran right after Kaspr, on the contacts Kaspr had missed.

Lusha

Lusha was the second most expensive per usable number, after Prospeo. In October 2026, it found 3 usable of about 75 contacts (4%), for about USD 23. That is about USD 7.75 per usable number.

On a senior Benelux list, Lusha returned 27 billed hits from 58 calls. Only 1 was a usable own-country mobile, plus 1 match to the wrong person. Most hits were foreign mobiles and direct lines.

Prospeo, AI Ark and the cheap tier

These found almost no usable European mobiles in October 2026:

• Prospeo: 2 usable of about 97 (2%), about USD 14 per usable number. It bills USD 0.39 whenever it matches the person, even with no mobile. It also returned one fake pattern number (+45 22 44 55 66), which we rejected.
• AI Ark: 0 usable of about 170. Its hits were neighbour-country or foreign mobiles, such as a Swedish number for a Danish contact.
• Cheap tier: LeadMagic, Dropleads, Limadata, Aviato, QuickEnrich and Enrichlayer found about 3 usable of about 250 senior contacts (about 1%). Most hits were US numbers for US-based people. We dropped all six.

Providers from our first benchmark

These 2025 to 2026 notes are still the best phone data we have on these tools. All of them are waterfall-biased.

• Wiza: often first in the phone waterfalls we saw, with 50 to 70% win share. Mobile quality was strong where visible, including 96 to 100% on UK manufacturing.
• Forager: 100% mobile quality in nearly every UK, French, Dutch and German sample. It dropped to 85% in Nordic and Central European samples. Placed first, it took 47 to 65% of phone wins.
• ContactOut: fine on operations and mid-level leaders. Weak on CEOs and MDs at small companies (36% landlines in the UK) and in Luxembourg (56% mobile quality).
• Datagma: 100% mobile quality where we saw it, except 85% on a 519-contact UK legal counsel list.

Who did we not test?

Some big names were not in the October 2026 run. Cognism, Apollo, ZoomInfo, Dropcontact and Pharow were not available through looot. Findymail phone returns nothing for EU citizens by design. If you are weighing those tools, read our notes on a Cognism alternative for Europe and an Apollo alternative for Europe.

What does a usable European mobile cost?

Anywhere from USD 0.05 to USD 14, depending on the provider and where it sits in the queue. And that price is only part of the bill, since about 3 in 4 usable numbers do not reach the person.

Cost per usable mobile, October 2026, on contacts other providers had already missed:

• Tomba: about USD 0.05.
• Eficia: about USD 0.27 per number.
• FullEnrich: about USD 0.75.
• Lusha: about USD 7.75.
• Prospeo: about USD 14.
• AI Ark and the cheap tier: almost nothing found, so no fair cost.

For a full-list anchor, Kaspr cost about €0.69 per clean mobile on its 274-contact standalone run (2025 to 2026). After that pass, the 156 contacts left cost USD 156.75 to attempt through a paid waterfall, about USD 1.84 per clean phone. The leftovers always cost more per number.

Now add the dial layer. If about 1 in 4 usable mobiles reaches the person, your cost per conversation is about four times your cost per usable number. That is before you pay for dial time.

A full waterfall still pays. On 461 senior IT and security contacts in the Netherlands, Belgium and Luxembourg (50 to 249 staff), our in-house waterfall found a usable mobile for 392 people (85%), October 2026. Kaspr gave 225, Tomba added 31 for USD 1.78 and Eficia added 133. The last four steps added very little.

What should you do with this data?

Keep the providers you have. Add one or two for the countries where they are weak. Then check every number before your team dials.

1. Split Europe into buckets. At least France, the UK, the rest of Western Europe, DACH and the Nordics. Each has its own fill rate, reach rate and channel mix. One average budget will starve the hard markets.
2. Order providers by cost per usable number. Price per lookup misleads. Test each provider on one list and put the cheapest per usable mobile first.
3. Gate every step. A number only counts if it is a mobile, in the contact's own country, and not a known bad number. A neighbour-country mobile in Europe is usually a personal phone.
4. Add specialists where you are weak. In our October 2026 data, Tomba and Eficia filled Benelux gaps cheaply. FullEnrich filled senior security gaps in the Netherlands, Belgium and Denmark.
5. Log the source of every number. You need it to cut weak steps, and when a prospect asks where you got their number.
6. Check every number before the team dials. More providers means more numbers. More numbers means more wrong ones. A format check catches the junk. It cannot tell you whether the right person picks up.

That last step is what Answrd does. You upload the numbers your waterfall found. You get back the ones that pick up, with wrong and dead ones flagged. Your first 100 numbers are free. We never sell data, so we sit at the end of your waterfall and never compete with it.

A line check alone misses personal and job-change numbers. We explain why in the limits of HLR lookups.

What do we still not know?

We still have gaps, and we would rather name them.

• Position bias is still in the data. The newer providers ran on contacts Kaspr, and often Eficia, had already missed. One that looks weak here might look better first in line.
• Many samples are small. Several country dial samples are under 50. FullEnrich has 8 dials. Treat those as early signs.
• Reach depends on more than data. Time of day, caller skill and the number of attempts all move reach rates.
• We have not measured decay. We do not yet know how fast a good number goes bad.

Frequently Asked Questions

Which phone data provider is best for Europe?

No single provider wins in every country. In October 2026, Kaspr reached the person on 28% of 1,071 dialled numbers and Eficia on 26% of 233. Specialists like FullEnrich and Tomba filled gaps after them in Benelux and the Nordics.

What share of enriched European mobiles reach the right person?

About 1 in 4 in our October 2026 data. Of 1,304 dialled usable mobiles from Kaspr and Eficia, 361 reached the right person. Sweden and Denmark reached best at 42 to 43%. The UK and Switzerland reached worst at about 20%.

What is the difference between fill rate and accuracy?

Fill rate is the share of contacts where a provider returns a number. Accuracy is the share of those numbers that reach the right person. In our data, Eficia had 94% usable numbers on paper and 26% reached the person when dialled.

Which European country is hardest to enrich?

Luxembourg, in our data. Kaspr returned 13 Luxembourg numbers in October 2026 and none were usable. Belgium comes next, with 16 usable of 40 checked Kaspr numbers.

Why do I get so many landlines for CEOs?

Senior people at small companies often sit behind the switchboard. Directory tools return that number as a found phone. In the earlier runs, CEO and MD lists at small companies came back with up to 36% landlines from single providers, and 45% when directory sources were merged in.

Find the numbers, then check them

In European B2B data enrichment, fill rate tells you who has a number. Dial outcomes tell you who picks up. In our data, the gap between the two is about three in four usable mobiles. Stack your providers by country, order them by cost per usable number, and check the output before the next call block.

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