01 / The short answerWhich data to buy, and on what terms
Lusha scores highest overall at 7.6/10, on published pricing, strong certification, and a low barrier to testing before you commit. Dropcontact (7.5) has the cleanest compliance position of any provider here because it stores no database and rebuilds records on request. Kaspr (7.5) is the cheapest credible route to UK and European mobile numbers. DataGardener (7.4) is the pick when you want UK company data sourced from Companies House rather than scraped. Market Location (7.3) is the one to call when you want blanket coverage of a defined UK market with the sending built in, at volumes the seat-based platforms are not designed for.
Cognism has the highest UK accuracy score in this guide by a clear margin, and ranks sixth only because it publishes no pricing and sells on annual contracts. If accuracy on UK and European mobile numbers is the criterion that decides your shortlist, buy Cognism and ignore the rank. If cost per usable record matters more, it will not be the answer.
Nothing here matters more than the price you negotiate. Six of the thirteen quote rather than publish, and a quote is an opening position, not a rate card. Ask for the click rate they expect, run it through your own conversion rate and margin, work out what a record can cost and still leave the campaign profitable, and offer that. Section 06 has the maths.
Five things buyers get wrong
- Buying a list creates a fresh legal duty on you. Under Article 14 of UK GDPR you must tell each named individual where you got their data, within one month of obtaining it or at first contact if sooner. The vendor's compliance does not discharge your obligation.
- A 50p credit costs about £1.40 per usable record. Once you account for fill rate, accuracy and how many records actually match your target profile, the headline price roughly triples. The maths is in section 07.
- Data decays about 2.5% a month. A list bought in January is roughly 74% accurate by December. Refresh cadence matters more than database size, and almost every vendor markets the second number rather than the first.
- Credits burn twice as fast as you plan for. Pulling both an email and a mobile for one contact is two credits, so a 2,000 credit plan yields 1,000 contacts. "Unlimited B2B emails" usually means generic company addresses, not named inboxes.
- The ICO publishes a due diligence checklist for exactly this purchase. Accepting a broker's assurance that data is compliant is explicitly not enough. The eight questions the regulator expects you to have asked are in section 11.
Data is the cheapest part of an outbound programme and the part that decides whether the rest of it works. It is also the only purchase in this market where buying badly creates a legal exposure that sits with you rather than the supplier.
I have spent fifteen years buying paid traffic for enquiry-led UK businesses and I run a lead generation agency, so I have a declared stake in the wider market. The Lead Gen Company does not sell data, which is why it is not scored here. For the services that use this data, see the best B2B lead generation companies or the best telemarketing companies.
02 / MethodSeven criteria, weighted for usable records
Most comparisons in this category rank on database size, which is the least useful number available. A database of 200 million contacts is worthless if 180 million of them are in a country you do not sell to. These criteria weight what survives contact with a real UK campaign.
| Criterion | Weight | What earns a high score |
|---|---|---|
| UK accuracy & fill rate | 25% | Records that are correct and complete for UK contacts specifically, not a global average |
| Compliance & Article 14 support | 20% | Documented lawful basis, per-record source attribution, and help meeting the notification duty you inherit |
| Cost per usable record | 15% | Real cost once fill rate, accuracy and profile relevance are applied |
| Pricing transparency | 10% | A published figure, ideally in sterling, without a discovery call |
| Refresh cadence | 10% | A stated re-verification frequency that outpaces decay |
| Contract & credit fairness | 10% | Rollover, a single credit pool, no punitive auto-renewal, a way out |
| Coverage depth | 10% | Regional UK SMEs and traditional industries, not just London tech |
On ties, prices and accuracy figures
Where two providers score the same, the higher UK accuracy score ranks first, then compliance. Dollar and euro prices are converted at approximately £0.78 to the dollar and rounded. Accuracy scores are my judgement from published vendor claims, independent sampling reported by third parties, and reviewer consensus, not a controlled test of my own. Vendor-stated accuracy figures are marketing claims until independently sampled, and independent samples in this category vary widely because they test different segments.
03 / At a glanceThe full comparison
Read the accuracy column and the transparency column together. High accuracy with no published price means a long procurement cycle; published pricing with moderate accuracy means you can test cheaply this week.
| # | Provider | Score | UK accuracy | Indicative UK price | Best for |
|---|---|---|---|---|---|
| 1 | Lusha | 7.6 | 8/10 | Free tier, from ~£39/moPublished | Fast LinkedIn lookups with certification behind them |
| 2 | Dropcontact | 7.5 | 7/10 | From ~£20/moPublished | The strictest compliance position available |
| 3 | Kaspr | 7.5 | 7/10 | Free tier, from ~£39/moPublished, sterling option | Cheapest credible UK and EU mobile numbers |
| 4 | DataGardener | 7.4 | 7/10 | Quote, est. from ~£100/mo | UK company data from Companies House filings |
| 5 | Market Location | 7.3 | 8/10 | Quote only, per recordVolume campaign pricing | Blanket coverage of a UK market, with sending included |
| 6 | Cognism | 7.2 | 9/10 | Est. £12,000 to £27,000/yrQuote only, annual | Highest UK mobile accuracy, if budget allows |
| 7 | Apollo.io | 7.2 | 7/10 | Free tier, ~£38 to £93/user/moPublished | Data plus sequencing in one subscription |
| 8 | Clay | 7.0 | 8/10 | From ~£116/moPublished | Technical teams building waterfall enrichment |
| 9 | UpLead | 7.0 | 7/10 | From ~£77/moPublished | Buyers who want a bounce refund in writing |
| 10 | Hunter.io | 6.6 | 6/10 | Free tier, from ~£38/moPublished | Domain-based email discovery and verification |
| 11 | ZoomInfo | 6.2 | 8/10 | Est. £11,700 to £26,100/yrQuote only, annual | Enterprise teams needing depth and org charts |
| 12 | Dun & Bradstreet | 6.2 | 7/10 | Custom, quote only | UK company financials and credit data |
| 13 | Kompass UK | 6.0 | 6/10 | Custom, quote only | Traditional industries and export markets |
Declared interest, and why The Lead Gen Company is not in the table
The Lead Gen Company is my company. It does not sell data, so it is not scored. It runs paid search and paid social, which sidesteps this purchase entirely: an inbound enquiry arrives with the person's own consent attached and no Article 14 duty to discharge. That is a real structural advantage of inbound over bought data, and it is the honest case for what I do rather than a claim about this market. Where search demand does not exist, you will need one of the providers above.
04 / The thirteenReviewed one by one
Same seven bars throughout. Where scores tie, the higher UK accuracy score ranks first, then compliance.
Lusha
Best all-round for UK buyers who want to test before committing
What it is. A contact database built around a Chrome extension that surfaces verified emails and direct dials while you browse LinkedIn or a company website. Setup takes minutes rather than weeks, and there is a free tier of around 40 credits a month on a single seat.
Why it tops the list. No single criterion where it is best, and no criterion where it is bad. It publishes its prices, holds ISO 27701 and SOC 2 Type II certification, and lets you test the actual data before spending anything, which matters more than it sounds in a category where free trials rarely include the records you want to test on.
Pricing. Free plan with roughly 40 credits a month. On annual billing, Starter is about £39 a month, Pro about £55, Premium about £312. Credits are consumed per field, so pulling an email and a mobile for one contact costs two.
Strengths
- Published pricing with a genuinely usable free tier
- Strong certification, including ISO 27701 and SOC 2 Type II
- Fastest workflow of any provider here for LinkedIn prospecting
- Reasonable UK coverage in finance, tech and professional services
Considerations
- Smaller database than the enterprise platforms
- UK SME coverage thins outside major cities
- Credits burn faster than expected once you pull both fields
- Contact data only, with little company intelligence
Dropcontact
Strictest compliance position of any provider here
What it is. A GDPR-native enrichment service that holds no contact database. Instead of storing records and selling access, it derives and verifies contact details algorithmically at the moment you ask, then discards them.
Why compliance scores 9. The architecture removes most of the problem rather than documenting around it. There is no stored personal data to be the subject of an access request, no upstream broker chain to audit, and a much narrower Article 14 exposure than buying a compiled list. For a UK business nervous about the duties in section 08, this is the cleanest structure in the category.
Pricing. Published, from roughly £20 a month for small volumes and scaling with enrichment credits. Coverage is strongest in France and Western Europe including the UK, and weakest outside those markets.
Strengths
- No stored database, so far less compliance exposure
- Published pricing and monthly terms
- Strong European and UK email derivation
- Works as an enrichment layer over data you already own
Considerations
- Not a prospecting database, so you must bring the target list
- Weakest coverage breadth in this guide
- Mobile numbers are not its strength
- Less useful if you need to build lists from scratch
Kaspr
Cheapest credible route to UK and EU mobile numbers
What it is. A LinkedIn-first Chrome extension owned by Cognism since 2022 and deliberately kept as a separate, cheaper product. It draws on Cognism's underlying European data foundation and over a hundred verified sources, surfacing verified mobiles and emails inline on LinkedIn profiles and Sales Navigator lists.
Why it scores well on cost. It inherits a serious data foundation at roughly a twentieth of the price of the parent platform. Independent March 2026 sampling reported around 47% mobile coverage on UK directors and 89% email accuracy, above Apollo and below Lusha, at a materially lower price point. Credits roll over between months and there is a sterling pricing option.
The catch to check. All plans advertise unlimited B2B emails, but those are generic company addresses rather than named work inboxes. Direct email and phone sit in separate credit pools, which makes the real cost harder to calculate than the headline suggests.
Strengths
- Cognism's data foundation at a fraction of the price
- Published pricing with a sterling option and rollover credits
- Free tier covers around five phone credits a day
- Inherits legitimate interest basis, EU representative and ICO registration
Considerations
- Unlimited B2B emails means generic addresses, not named inboxes
- Split credit types obscure the true cost
- Not built for bulk list building away from LinkedIn
- No published UK-specific contact counts or bounce rates
DataGardener
Best UK company data sourced from Companies House
What it is. A UK company intelligence platform built on Companies House filings rather than global scraping, covering registered companies, directors, financials and corporate structures across the whole UK register.
Why coverage scores 9, the highest here. Every provider in this guide thins out on regional UK SMEs, because small companies file little public data for anyone to scrape. A platform built directly on the statutory register does not have that problem: if the company is registered, it is there. For anyone selling to owner-managed businesses outside London, that is a structural advantage the global platforms cannot match.
The trade-off. Company data is not contact data. You get the organisation, the directors and the financials, but named individual email addresses and mobiles are thinner than a contact-first platform provides. Most UK teams pair it with a contact tool rather than choosing between them.
Strengths
- Deepest regional UK SME coverage in this guide
- Sourced from the statutory register, not scraped
- Strong for finance, procurement and credit-led targeting
- Firmographics and financials in one place
Considerations
- Company data rather than individual contact data
- No published pricing
- Usually needs pairing with a contact provider
- Less useful outside the UK
Market Location
Best for blanket coverage of a defined UK market, with sending built in
What it is. A Sutton Coldfield data house that has sold UK business data for fifty years, built on what it calls the Verified Business Universe: trading businesses confirmed by phone rather than inferred from a register. Roughly 1.5 million telephone-verified senior decision-makers, 3.5 million broader-role contacts, and campaigns run as a managed service across email, phone and post.
Who it works for. Buyers who have defined a market by sector, size, region and role and want effectively all of it, at hundreds of thousands to a million-plus records. Credit pricing handles that badly, and a send that size on your own domain risks the reputation damage a bounce spike causes. Sending is included here, at a stated 92% delivery with hard bounces under 0.5%.
Why it ranks fifth. Coverage scores 9 and refresh 8, on human verification and TPS/CTPS screening. Transparency scores 3: no published price, no free tier, nothing you can test against a spreadsheet, which is why the method in section 06 matters more here than anywhere else.
Strengths
- Deepest coverage of the real UK trading population here
- Telephone-verified records rather than inferred or scraped
- Sending included, at volumes credit platforms cannot serve
- ISO 27001, ISO 27701 and DMA membership
Considerations
- No published pricing, no free tier, no self-serve test
- Quotes vary widely, so the number you accept is on you
- Reach contacts trade seniority for breadth, so check your tier
- Single-use or multi-use licence changes the real price
Cognism
Highest UK accuracy in this guide, at the highest price
What it is. A London sales intelligence platform selling contact and company data with intent signals. Its distinguishing asset is phone-verified mobile numbers, where researchers manually confirm the number reaches the right person, marketed as Diamond Data. Coverage is deepest in the UK, DACH and the Nordics, with do-not-call screening across multiple registries.
Why accuracy scores 9. Nothing else here comes close on UK and European mobile numbers, and buyer research consistently reports teams moving to it after finding US-built platforms too thin on European data. If your outbound is calling-led into UK decision-makers, the accuracy difference is real and measurable in connect rates.
Why it still ranks sixth. Transparency scores 3 and contract flexibility 4. There is no published price, no self-serve tier, annual contracts with auto-renewal, notice windows of 60 to 90 days, renewal uplifts of 10% to 15% unless capped on day one, and a fair use policy of roughly 2,000 records per user per month. Third-party procurement data puts entry near £12,000 a year and ten-seat teams between £19,000 and £27,000.
Strengths
- Best UK and European mobile accuracy available
- Phone verification is a real process, not a claim
- Serious compliance posture with multi-registry screening
- Strong intent and trigger data alongside contacts
Considerations
- No published pricing anywhere
- Annual contracts with auto-renewal and long notice windows
- Highest cost per usable record in this guide
- Fair use caps limit bulk list building
Apollo.io
Best value when you want data and sequencing together
What it is. A large global contact database with built-in email sequencing, meaning a small UK team can run prospecting and outreach from one subscription rather than buying a data provider and a sales engagement tool separately. Over 275 million contacts, a real free tier, and self-serve pricing.
Why cost per usable record scores 9, the highest here. Bundling removes a second subscription, and the per-record price is the lowest of any credible platform. For an early-stage UK team, that combination is hard to argue with.
Where UK buyers should be careful. Coverage is usable for tech and services companies concentrated around London and thinner for regional UK SMEs and traditional industries. Mobile fill rates on UK contacts lag phone-first providers noticeably, and mobile numbers are sourced rather than individually verified. Compliance documentation is adequate rather than exemplary, which is why that criterion scores 6.
Strengths
- Lowest cost per usable record of any credible platform
- Data and sequencing in one subscription
- Genuine free tier and self-serve pricing
- Good London tech and services coverage
Considerations
- UK mobile numbers are sourced, not verified
- Regional UK SME coverage is thin
- Compliance posture is adequate rather than strong
- Bundling means switching either component is harder later
Clay
Best for technical teams building waterfall enrichment
What it is. Not a database but an orchestration layer that queries many providers in sequence, taking the first verified result for each record. That waterfall approach routinely produces higher fill rates than any single source, because a gap in one provider is filled by the next.
Who it works for. RevOps and growth teams with the engineering bandwidth to build and maintain the workflows. Accuracy scores 8 because the method genuinely works. It requires a person who enjoys this, and the cost of that person is the real price.
Pricing. Published, from roughly £116 a month, plus the underlying provider credits the waterfall consumes. Budget for both, since the platform fee is the smaller number once volume rises.
Strengths
- Waterfall enrichment beats any single provider on fill rate
- Published pricing and flexible terms
- Extremely flexible for custom targeting logic
- Reduces dependence on one vendor's coverage gaps
Considerations
- Needs technical ownership or it goes unused
- Underlying provider credits sit on top of the platform fee
- Compliance chain is only as clean as the weakest source you query
- Overkill for straightforward list building
UpLead
Best bounce guarantee in writing
What it is. A mid-sized contact database with credit-based pricing, real-time email verification at the point of export, and a stated 95% accuracy guarantee backed by a refund for records that bounce.
Why the guarantee matters. Every provider in this category claims accuracy. One of them refunds you when the claim fails. That converts a marketing number into a commercial term, and it is the single most useful thing a data buyer can ask any vendor for: not a higher claimed accuracy, but a credit when it is wrong.
The trade-off. The database is smaller than the leaders and UK coverage is respectable rather than deep, particularly outside larger companies. Best treated as an occasional list-building tool rather than a primary source for a high-volume programme.
Strengths
- Refund-per-bounce policy converts a claim into a contract term
- Verification happens at export, not at compile time
- Published credit pricing
- Straightforward to test at low volume
Considerations
- Smaller database than the leaders
- Weakest coverage depth score in this guide
- Credit model gets expensive at volume
- Less UK-specific sourcing than the native providers
Hunter.io
Best simple email discovery and verification
What it is. A domain-based email finder and verifier. Give it a company domain and it returns the email pattern and known addresses, with a verification layer to check deliverability before you send.
Who it works for. Email-led teams that already know which companies they want and only need addresses. It is the simplest and most reliable tool in the category for that one job, with a free tier of around 25 searches and published pricing from roughly £38 a month.
Why it ranks here. Coverage scores 4, the lowest in this guide, because it does no phone data and holds no firmographic depth. Most UK shortlists pair it with Lusha or Cognism rather than choosing it as a single source, and judged as a complete provider it is incomplete by design.
Strengths
- Simplest and most reliable tool for domain-based email discovery
- Published pricing and a usable free tier
- Strong verification reduces bounce risk
- Good API for building into your own workflow
Considerations
- No phone data at all
- No firmographics or company intelligence
- Incomplete as a single source for UK outbound
- You must already know which companies to target
ZoomInfo
Deepest data, hardest commercial terms
What it is. The largest dataset in the category, with the deepest firmographics, org charts and intent layers, built for enterprise go-to-market teams. Around 500 million contacts and over 135 million verified phone numbers globally.
Why compliance scores 9. It serves an Article 14 compliant data collection notice to addressable contacts in its own database. Almost no other provider does this, and it materially reduces the duty described in section 08. Buyers rarely ask about it and it is one of the strongest reasons to choose an enterprise platform over a cheaper one.
Why it still ranks tenth. Transparency scores 2 and contract flexibility 2, both the lowest in this guide. Reported contracts run roughly £11,700 to £26,100 a year with a Vendr median nearer £28,000, some integrations are charged separately at higher tiers, and the platform has a well-documented reputation for aggressive auto-renewal. Set a calendar reminder 90 days before renewal or you will be having a difficult conversation.
Strengths
- Largest dataset and deepest firmographics available
- Serves its own Article 14 notices, which is rare and valuable
- Strong verified phone coverage globally
- Org charts and intent layers the cheaper tools lack
Considerations
- Weakest transparency and contract flexibility in this guide
- Well-documented aggressive auto-renewal practices
- US-centric roots, with UK SME coverage thinner than headline suggests
- Integrations can be charged separately
Dun & Bradstreet
Best for UK company financials and credit data
What it is. A long-established business information provider with very strong UK registered company data, financials, credit scores and corporate linkage. Used as much by finance and risk teams as by sales.
Who it works for. Businesses whose targeting depends on financial health, company size or corporate structure rather than job titles. If you sell asset finance, insurance or credit-sensitive services, firmographic depth of this kind is worth more than another mobile number.
Why it ranks low against these criteria. Cost per usable record scores 4 and transparency 3. It is priced as an enterprise data feed rather than a prospecting tool, and it is not designed to hand a rep a mobile number. Judged as a B2B contact provider it underperforms; judged as a company data source it is among the best available.
Strengths
- Exceptional UK registered company and financial data
- Strong corporate linkage and group structures
- Long-established compliance and governance
- Valuable for credit-sensitive or risk-led targeting
Considerations
- Not a contact-first provider
- Custom pricing with no published figures
- Expensive per usable prospecting record
- Enterprise procurement cycle
Kompass UK
Best for traditional industries and export markets
What it is. A long-standing international business directory with UK and European native sourcing, organised by detailed product and service classifications rather than job title and tech stack.
Who it works for. Manufacturers, industrial suppliers and exporters, where the buying signal is what a company makes or distributes rather than what software it runs. The classification depth in traditional sectors is better than the modern platforms, which were built for selling software to software companies.
Why it ranks last. Refresh cadence and credit fairness both score mid-range, transparency is 4, and contact-level accuracy trails the specialists. It is a useful source for a specific kind of targeting rather than a general-purpose contact database, and it should be judged that way.
Strengths
- Detailed classification for manufacturing and industrial sectors
- UK and European native sourcing
- Useful for export and international targeting
- Long-established and well-governed
Considerations
- Contact-level accuracy trails the specialist providers
- No published pricing
- Refresh cadence is slower than the modern platforms
- Wrong tool for technology or professional services targeting
Not sure you need to buy data at all?
Tell me what you sell and who buys it. If people already search for it, inbound arrives with consent attached and none of the duties below. You get an honest answer either way.
05 / MoneyWhat B2B data costs in the UK
Five pricing models, and they are much harder to compare than they look because each hides a different variable.
| Model | Typical UK price | What is hidden | Best when |
|---|---|---|---|
| Self-serve seat | £38 to £93 per user/mo | Credit caps and per-field burn | One or two reps prospecting on LinkedIn |
| Credit pack | £77 to £320/mo | Rollover rules and expiry | Periodic list building at known volume |
| Enterprise licence | £11,700 to £28,000/yr | Auto-renewal, uplift, paid integrations | Teams of five or more with real volume |
| Volume list licence | Quote only, priced per record | Single-use vs multi-use licence, and whether sending is included | Blanket campaigns from 100,000 to 1m+ records |
| Enrichment API | £20 to £300/mo + usage | Underlying provider costs in a waterfall | Cleaning and completing data you own |
06 / New analysisWork out your price, then make that offer
Six of the thirteen providers here quote rather than publish, and quoted prices vary by more than double for the same audience. The mistake is treating the quote as the starting point and asking for a discount off it. Ask the vendor two things in writing, the click rate they expect and the delivery rate they achieve, then calculate your own number before the call from what a customer is worth to you.
The maths, on a 250,000 record campaign
Affordable price per record = (gross profit per sale × expected sales) ÷ target return ÷ records
| Step | Input | Result |
|---|---|---|
| Audience selected | - | 250,000 |
| Delivered, at the vendor's stated 92% | ×0.92 | 230,000 |
| Clicks, at the click rate they quoted | ×1.5% | 3,450 |
| Enquiries, at your landing page rate | ×8% | 276 |
| Sales, at your close rate | ×20% | 55 |
| Gross profit, at £600 a sale | ×£600 | £33,000 |
| Budget at a 3:1 return | ÷3 | £11,000 |
| Which is your price per record | ÷250,000 | 4.4p |
Now you have a number to put on the table: £11,000 for 250,000 records with the send included. Offer it and show the working. They will take it, counter close to it, or tell you honestly that the volume does not support it, and all three answers are useful. What you have avoided is accepting 12p a record because it sounded reasonable in isolation, which turns that £33,000 gross profit into a £30,000 cost.
Get their expected click rate into the email trail, so the next campaign is negotiated against what happened rather than a fresh estimate. And rerun the maths whenever the volume changes, because the affordable price per record moves with it.
07 / New analysisCost per usable record
Every provider quotes a price per credit or per record. Almost nobody quotes the number that matters, which is what you pay for a record you can actually use. Three multipliers sit between the two, and they compound.
The formula
Cost per usable record = price ÷ (fill rate × accuracy × profile relevance)
Fill rate is the share of your target list where the provider actually returns the field you need. Accuracy is the share of those that are correct. Profile relevance is the share that genuinely match your target profile rather than merely passing your filters.
| Applied in sequence | Multiplier | Effective cost per usable record |
|---|---|---|
| Headline credit price | - | £0.50 |
| After 60% fill rate on UK mobiles | ×0.60 | £0.83 |
| After 85% accuracy on what was returned | ×0.85 | £0.98 |
| After 70% genuinely match your profile | ×0.70 | £1.40 |
A 50p credit costs £1.40 per usable record under entirely reasonable assumptions. That is not a scandal, it is arithmetic, and it applies to every provider. What it changes is how you compare two quotes: a provider charging 80p with an 80% fill rate beats one charging 50p at 55%, and the headline price tells you the opposite.
Run this before signing anything, using a sample rather than a vendor claim. Take fifty companies you would genuinely sell to, ask each shortlisted provider to return records for those exact fifty, and count. Free tiers exist on Lusha, Kaspr, Apollo and Hunter precisely so you can do this at no cost. Vendors resist supplying a specific list because the sample is where marketing claims meet a real target market.
08 / New analysisThe decay clock nobody prices in
B2B contact data decays at roughly 2.5% to 3% a month as people change jobs and companies restructure. That is not a criticism of any provider, it is a property of the underlying reality, and it makes refresh cadence a more important criterion than database size.
Two consequences follow, and both should change what you buy.
A one-off list purchase is a depreciating asset. If you buy 10,000 records and work them over a year, roughly a quarter will be wrong by the time you reach the end of the list. Buying a smaller volume more often beats buying a large volume once, even at a higher unit price, because you are always working from the fresher end of the curve.
Refresh cadence is a question you should ask in writing. A good database re-verifies continuously or at least monthly. If a vendor cannot state a cadence, assume a higher bounce rate and price it in. Given that bounce rates above 3% damage sender reputation with Gmail, Yahoo and Microsoft regardless of where the data came from, the cost of stale data is no longer just a wasted send.
09 / New analysisThe legal duty you inherit when you buy
This is the section most likely to change what you do next, and it appears in no other guide to this category.
When you obtain personal data from a source other than the individual, Article 14 of UK GDPR requires you to give that person privacy information within a reasonable period and at the latest within one month, or at the point of first contact if that comes sooner. The information must include what categories of data you hold and where you got it.
Three things follow that buyers routinely get wrong.
- The duty is yours, not the vendor's. Your acquisition triggers a fresh obligation. The upstream source having its own privacy policy does not discharge it, and the ICO rejected exactly that argument in its action against Experian.
- It applies to named individuals, not generic addresses. An address like info@company.com does not identify a person. sam.smith@company.com does, and triggers the requirement.
- Contractual warranties are not due diligence. The ICO states plainly that simply accepting a data broker's assurance that the data is compliant is not enough, and that you must be able to demonstrate your own compliance.
What this means in practice
If you buy 5,000 named UK contacts, you owe 5,000 people a privacy notice within a month. In practice most B2B teams satisfy this by including the required information in the first outreach message and linking to a source-specific privacy page, which is legitimate if it is done properly and at first contact. What is not legitimate is doing nothing and assuming the vendor handled it. A small number of providers, ZoomInfo among them, serve their own Article 14 notices to contacts in their database, which materially reduces your exposure. It is worth asking every shortlisted vendor whether they do, because almost no buyer does and the answer separates them sharply.
One further date to diarise: from 19 June 2026 UK organisations must have a data protection complaints process in place, with individuals able to complain directly to you as controller. If you are about to start contacting thousands of people who did not give you their details, having that route in place is not optional housekeeping.
10 / New analysisCredit model traps
Credit pricing looks transparent and is frequently the least comparable part of a quote. Five traps recur.
| Trap | What happens | What to ask |
|---|---|---|
| Per-field burn | Email and mobile for one contact costs two credits, so a 2,000 credit plan yields 1,000 contacts | "How many credits does one fully enriched contact consume?" |
| Split credit pools | Email, direct email and phone sit in separate pools you cannot move between | "Are credits interchangeable across field types?" |
| Unlimited that is not | "Unlimited B2B emails" means generic company addresses, not named inboxes | "Does unlimited include named personal work emails?" |
| Expiry and rollover | Unused credits expire, sometimes monthly, and are not refunded | "Do credits roll over, and for how long?" |
| Fair use caps | A policy limits records per user per month regardless of your licence | "What is the fair use cap per seat per month?" |
Two commercial terms sit alongside these and cost more than any of them. Enterprise providers overwhelmingly sell annual contracts with automatic renewal, and at least one has a well-documented reputation for enforcing them firmly. Diarise a reminder ninety days before your renewal date on the day you sign, not the month it falls due. And check whether CRM integrations, API access or additional intent topics are charged separately, because at higher tiers they frequently are.
11 / DiligenceThe ICO's own checklist
The regulator publishes what it expects you to have asked before buying data from a broker. This is close to that list, phrased as questions to send. Getting written answers is the diligence; a signed warranty is not.
- Who compiled this data? You, or someone upstream of you?
- Where was it obtained from? Directly from individuals, or from other sources?
- What privacy information were people given at collection? What were they told their data would be used for?
- When was it compiled? What date was it collected, and how often has it been re-verified since?
- How was it collected? In what context, by what method?
- If it is consented data, what exactly did people consent to? Were we named? When and how did they consent?
- Can you evidence screening against opt-out lists? TPS and CTPS, and how recently.
- How do you handle individuals' rights? Do you pass on objections and access requests to us?
Two more worth adding that the ICO does not list. Ask whether the provider serves its own Article 14 notices, and ask for a refund or credit policy on records that bounce or prove inaccurate. One vendor here publishes a 95% accuracy guarantee with a refund per bounce, which turns a marketing claim into a term you can enforce.
12 / QuestionsWhat buyers ask before signing
How much does B2B contact data cost in the UK?
Self-serve seats run roughly £38 to £93 per user a month, credit packs £77 to £320 a month, and enterprise licences an estimated £11,700 to £28,000 a year. Enrichment APIs start around £20 a month plus usage. The more useful figure is cost per usable record: apply your fill rate, accuracy and profile relevance to the headline price and a 50p credit typically lands nearer £1.40.
Which is the best B2B data provider for UK contacts?
On the seven criteria used here, Lusha scores highest overall at 7.6 out of 10 for published pricing, strong certification and a low barrier to testing. Dropcontact and Kaspr both score 7.5, the first for its no-database compliance position and the second for cheap UK and EU mobile numbers. Cognism has the highest UK accuracy score in the guide and ranks sixth only because it publishes no pricing and sells annual contracts. If UK mobile accuracy is your deciding criterion, buy Cognism.
Is it legal to buy B2B contact lists in the UK?
Yes, provided you establish a lawful basis, verify the supplier sourced the data lawfully, and meet your own transparency duties. For B2B prospecting the standard lawful basis is legitimate interests under Article 6(1)(f), which requires a documented balancing test. The ICO does not ban buying marketing data; it requires you to take responsibility for your own processing once you have the list, and it states that accepting a broker's assurance of compliance is not sufficient diligence.
What is the Article 14 obligation when buying a list?
When you obtain personal data from a source other than the individual, you must give them privacy information within a reasonable period and at the latest within one month, or at first contact if that is sooner. It must include the categories of data you hold and where it came from. The duty is yours and is not discharged by the vendor's own privacy policy. It applies to named individuals rather than generic addresses such as info@company.com. A small number of providers serve their own Article 14 notices, which reduces your exposure, so ask.
How quickly does B2B data go out of date?
Roughly 2.5% to 3% a month, or about 26% to 30% a year, as people change roles and companies restructure. A thousand accurate records bought in January will be around 859 by July and 738 the following January. That makes refresh cadence a more important criterion than database size, and it favours buying smaller volumes more often over one large annual purchase. Ask every vendor to state their re-verification frequency in writing.
Why do my credits run out faster than expected?
Usually because credits are consumed per field rather than per contact. Pulling an email and a mobile for one person costs two, so a 2,000 credit plan yields 1,000 fully enriched contacts. Several providers also split credits into separate pools for email, direct email and phone that you cannot move between, and "unlimited B2B emails" commonly means generic company addresses rather than named work inboxes. Ask how many credits one fully enriched contact consumes before comparing any two quotes.
How do I negotiate a price with a data provider who will not publish one?
Calculate your own number before the call and offer that. Ask the vendor for the click rate they expect on an audience like yours and the delivery rate they achieve, then apply your own landing page conversion rate, close rate and gross profit per sale to work out how many customers the campaign should produce. Divide the gross profit by your target return and then by the number of records, and you have the price per record you can afford to pay. Put that offer on the table and explain the working. Quoted prices in this category vary by more than double for the same audience, so the discipline of arriving with your own figure is worth more than any discount you talk them into. The worked example is in section 06.
Which provider is best for emailing a whole UK market segment?
A list house rather than a seat-based platform. Credit pricing is built for reps pulling a few hundred records a month and prices badly at hundreds of thousands, and running a send that size on your own domain risks the reputation damage that follows a high bounce rate. Market Location scores 7.3 here for that specific job: deepest coverage of the real UK trading population in this guide, telephone-verified records, and managed sending at a stated 92% delivery with hard bounces under 0.5%. It publishes no pricing, so negotiate on your own maths rather than theirs, and check whether the licence is single-use or multi-use before you compare it with anything.
Should I buy a database or use an enrichment layer?
Buy a database when you need to build target lists from scratch and do not yet know which companies to approach. Use an enrichment layer when you already have accounts, a CRM or a target list and only need to complete the records. Enrichment is usually cheaper per usable record and carries a narrower compliance exposure, particularly with providers that store no data and derive records on request. Many UK teams end up running both rather than choosing.
Is Cognism worth the price for UK data?
If your outbound is calling-led into UK and European decision-makers, its phone-verified mobile numbers are the most accurate available and the connect-rate difference is measurable. If your motion is email-led, or your volume is modest, the accuracy premium is harder to justify against providers costing a twentieth as much. Kaspr, which Cognism owns, draws on the same data foundation at a far lower price point and is the sensible way to test whether the underlying data suits your market before committing to an annual contract.
How do I test a data provider properly?
Take fifty companies you would genuinely sell to and ask each shortlisted provider to return records for those exact companies. Count fill rate, verify a sample by hand, and check how many genuinely match your target profile rather than merely passing your filters. Free tiers on Lusha, Kaspr, Apollo and Hunter let you do this at no cost. Vendor-run demos use their strongest segments, and free trials rarely include the records you actually want to test on.
13 / TransparencyMethod, limitations and sources
How this guide was built
Providers were selected on whether a UK buyer would realistically shortlist them, which deliberately includes UK-native company data sources that global comparisons ignore and excludes platforms with negligible UK coverage. Each was scored against the seven weighted criteria in section 02, using published pricing where available, third-party procurement data and independent sampling reported by others where not. Ties are broken by UK accuracy, then compliance.
Limitations worth stating, and they matter more here than in my other guides. I have not run my own controlled accuracy test across these thirteen providers. Accuracy scores reflect published vendor claims, independent samples reported by third parties, and reviewer consensus, all of which test different segments and produce genuinely different answers. Treat the accuracy column as a starting hypothesis to test against your own fifty-company sample, using the method in section 07, rather than as a measured result. Prices for providers that do not publish are estimates and will move with volume and negotiation.
This is not legal advice. Section 09 summarises published ICO guidance and the text of Article 14. Your obligations depend on your specific processing, and a data protection professional should confirm your approach before you contact several thousand people.
Corrections. If you work at one of these companies and a figure is wrong, send the correct number and the page it is published on, and this guide will be updated with the change noted.
Sources
- ICO, organisations using marketing services of data brokers
- ICO, right to be informed and when to provide privacy information
- ICO, sharing personal data in databases and lists
- UK GDPR Article 14, information where data not obtained from the data subject
- Information Commissioner v Experian Ltd, Upper Tribunal, April 2024
- ICO, data protection complaints requirement in force 19 June 2026
- Telephone Preference Service and Corporate Telephone Preference Service
- Lusha, Apollo, Kaspr, Hunter, UpLead and Clay published pricing pages
- Third-party procurement data for Cognism and ZoomInfo licensing
- Market Location published data, compliance and campaign delivery pages
- Independent UK sampling of mobile coverage and email accuracy, March 2026
- Gartner and industry reporting on B2B data decay rates
- ZoomInfo, published position on Article 14 data collection notices
- G2 and Capterra reviewer consensus across the platforms compared
- Google, Yahoo and Microsoft bulk sender requirements on bounce and complaint rates
Want a second opinion on a quote you have been given?
Send the numbers and I will run them through the cost-per-usable-record maths on this page, including when the honest answer is that you do not need to buy data at all.
Related reading: the best B2B lead generation companies covers suppliers who use this data for you, the best telemarketing companies covers the calling side and its separate regulator, and the best appointment setting companies covers buying meetings rather than records. If your buyers already search for what you sell, PPC lead generation produces enquiries with consent attached and no Article 14 duty.