TL;DR
- Snov.io offers a clear email-led volume route: Pro M is $189/month for 20,000 shared finding/verification credits, with paid data export. A separate verification pass changes the capacity needed.
- Apollo is attractive when the team also uses its search and sales execution tools. Its seat base alone does not establish the cost of a large export; credit and export treatment depend on the plan.
- Lusha prices email, phone and export actions differently. The entry self-serve prices are useful starting points, but a large monthly export needs the appropriate credit volume.
- Kaspr fits LinkedIn-led enrichment. Unlimited B2B email access has a separate export allowance; repeated exports spend credits again.
- Compare the cost of the same accepted records, with the same fields. Ten thousand email records and ten thousand records with mobile numbers are different purchases.
- In the illustrative email-only case, Snov's $189 base and Kaspr's $407 base buy the relevant stated capacity. These are modelled routes, not evidence that either returns the same contacts or quality.
Define the record you want to export
A cheap list is useful when it contains the people and fields the next system needs. Define an accepted record before comparing subscriptions: current person and employer, relevant role, company/domain, required contact channel, source/status and enough identity to avoid duplicates.
For an email-led programme, require a usable business email and a person/company match. For a calling team, include the required direct dial or mobile. Adding phone data after buying an email-priced list changes both cost and acceptance.
Keep four stages separate: searching, revealing or finding data, validating it and exporting it. Providers bundle these stages differently. A search result count is not necessarily the number of paid emails, and a credit is not a universal contact unit.
This guide compares the existing Apollo, Lusha, Snov.io and Kaspr shortlist for high-volume internal sales exports. Our B2B intent data guide covers account-interest sources; this purchase concerns usable contact records and their export economics.
Compare plans and chargeable units
| Provider | Relevant purchase basis | Data unit | Export boundary | Useful buying reason |
|---|---|---|---|---|
| Apollo | Basic/Professional per-user base plus the plan's data capacity | Credits across data and other actions | Export credits can depend on plan/configuration | Search, data and sales execution together |
| Lusha | Starter, Pro or Premium credit slider; Scale custom | Email 1 credit, phone 5; other actions additional | Public pricebook: CSV 1 credit per 25 records, CRM 1 per record | Selected data points and shared team research |
| Snov.io | Pro M $189/month, 20,000 credits; Pro L $369, 50,000 | Finding and verification share credits | Paid plans include data export | Predictable email discovery/verification budget |
| Kaspr | Business $99/month or $79/month equivalent annually, per user | Separate B2B email, phone, direct email and export pools | Business 2,500 monthly or 30,000 annual exports per licence; extras separate | LinkedIn-led enrichment with explicit export capacity |
Current primary pages were reviewed on 1 October 2026. The worked yields and operating costs below are editorial assumptions, not measured vendor tests.
Four providers and their purchase boundaries
Apollo: data plus the seller's working environment
Apollo combines contact/company search with sales execution. Its current pricing FAQ positions Basic for regular outbound and core integrations, Professional for greater credit capacity and additional sales features, and Custom for larger requirements. All seats in an account use the same plan; the team cannot casually mix Basic and Professional within that account. Plan scope.
Price basis: Apollo's 17 September 2026 official plan guide lists Basic at $49/user/month and Professional at $79/user/month on annual billing. Use these as supported seat bases, rather than a promise that a particular large export fits the included capacity. The current pricing page also distinguishes monthly terms from a paid-upfront annual commitment. Published seat bases.
Apollo's export documentation says existing records are not automatically enriched when exported. It also says export credits may apply depending on the plan, with exclusions for already-exported or imported contacts and certain records without verified email. That is more specific than treating every CSV row as another universal one-credit charge. Export treatment.
Choose Apollo when the same team uses its search, engagement and CRM tools, so the purchase replaces several tasks. Choose another when an export-only comparison depends on a simpler published volume tariff. Its standard pricing page limits these plans to internal business use; external products, sharing with customers and resale require a separate agreement. Pricing and use scope.
Lusha: price the data points and the destination
Lusha's public pricing data gives monthly starting packages of $49.90 for Starter with 400 credits and one seat, $69.90 for Pro with 600 credits and two seats, and $399.90 for Premium with 3,400 credits and five seats. Higher volumes change the selected package price. These are credit packages, not those numbers of complete email-and-phone records. Current pricing.
A revealed email costs one credit and a phone five. The public pricing rate data distinguishes CSV export at one credit per 25 records from CRM export at one per record. Consequently, a CSV research route and a direct CRM handoff can have different costs even with the same people. Search/reveal and destination actions must be budgeted together.
Monthly unused credits can accumulate up to twice the plan's monthly allowance while subscribed; annual credits arrive upfront and reset at the annual cycle's end. No-match lookups do not consume the same reveal charge as a found contact. Credit model.
Choose Lusha when field-specific reveals and its research/CRM environment fit the team. Choose another when email-only bulk economics are the priority and the required higher-volume package has no advantage over a simpler finder. The entry price cannot be extrapolated into a 13,000-credit monthly package by multiplying a single average credit rate.
Snov.io: a clear email-first capacity route
Snov combines database/domain/person discovery, email verification and campaign tools. Paid plans unlock bulk work and data export. Current monthly bases are Starter $39 for 1,000 credits, Pro S $99 for 5,000, Pro M $189 for 20,000, and Pro L $369 for 50,000. Pro plans include unlimited team seats. Pricing, plan scope.
Finding and verification share the credit pool. A found green/valid email costs one credit and is already verified; some finder actions also charge for yellow/unknown results. A separately run verifier charges for valid or invalid results, while unknown results are not charged. Recipient allowances and newer enrichment tokens are distinct from finding credits. Action-level charges.
Choose Snov for an email-led list operation where the team can work from company/person inputs or its database and export paid results. Choose another when mobile/direct-dial data is essential or a richer sales intelligence platform is the main requirement. Unlimited sending or storage does not make finding unlimited, and a recipient allowance is not an export capacity figure.
Kaspr: LinkedIn-led enrichment with a separate export pool
Kaspr enriches professional contacts through its LinkedIn extension, CSV inputs with LinkedIn URLs and integrations. Starter provides unlimited B2B emails with a smaller phone/export allocation; Business increases those pools and adds team features. Product and pricing.
Pricing: Starter is $65/user/month or $49/month equivalent annually; Business is $99/month or $79/month equivalent annually. The detailed plan guide gives Starter 1,000 monthly or 12,000 annual exports, and Business 2,500 monthly or 30,000 annual exports per licence. Business phone and direct-email pools are 200/month each, or 2,400 annually. Personal/direct email is a different pool from B2B email. Plan allocations, US dollar bases.
One export credit is consumed each time a lead leaves Kaspr, including a repeat export. Revealing the same data on an existing lead does not necessarily consume the same reveal pool again, but that does not remove the export charge. Credit definitions.
Choose Kaspr for a LinkedIn-led target set where the extension, known profile URLs and team research fit. Choose another when an independent database export is the whole job. Price the extra exports and phone fields, rather than using “unlimited B2B emails” as the total capacity.
Ten thousand accepted records on equal terms
Use a fictional monthly target of 10,000 accepted email-only records. Assume 12,500 found/revealed records are needed because 20% are removed for duplicate identity, unsuitable role, suppression or acceptance failures. An actual supplier's yield could be different; this common 80% assumption isolates the price model.
Required fields are person, employer/domain, relevant role, business email/status and a supported source identity. Phone data is excluded from this first comparison. The team already owns the destination CRM and sending infrastructure.
| Route | Capacity calculation for the same target | Supported software basis |
|---|---|---|
| Snov Pro M, using its green finder results | 12,500 finding credits; no automatic second verification pass assumed | $189/month, within 20,000 credits |
| Snov with a separately charged full verification pass | Up to 12,500 finding + 12,500 charged verifications = 25,000 credits | Pro L $369/month, within 50,000 credits |
| Kaspr Business monthly plus export add-on | 2,500 included + 10,000 add-on exports = 12,500 | $99 + $308 = $407/month |
| Lusha CSV route | 12,500 email reveals + 500 CSV batch credits = 13,000 credits | Qualifying volume price, called Q; entry package is insufficient |
| Apollo export route | Qualifying email access plus plan-specific export treatment and seats | Seat base plus required data capacity, called A |
Kaspr's current export add-on table separates monthly and annual units: the 10,000 monthly export package is $308/month. Its 100,000 annual export package is $3,080/year. Do not pair an annual credit count with a monthly price from the neighbouring column. Add-ons renew with the subscription and do not roll unused capacity into the next period. Add-on pricing, renewal basis.
For the Snov route, the chosen inputs are green finder results; it is not a claim that every search returns green results. Chargeable unknown results and a lower match yield reduce useful capacity. A second verification pass is a separate choice with the separate budget shown above.
These examples establish purchasable capacity and price bases. They do not demonstrate equivalent source coverage, missing-field rates or realised deliverability across vendors.
Now include operating work. Reserve four hours for targeting and deduplication at $60/hour, three for import/reconciliation at $75 and 200 manual record checks at 30 seconds each and $60/hour. That is $240 + $225 + $100 = $565/month.
| Route | Monthly operating subtotal | Cost per 10,000 accepted records |
|---|---|---|
| Snov Pro M model | $754 | $0.0754 each |
| Snov Pro L with extra verification | $934 | $0.0934 each |
| Kaspr Business + stated export add-on | $972 | $0.0972 each |
| Lusha qualifying volume package | $565 + Q | $0.0565 + Q/10,000 |
| Apollo qualifying purchase | $565 + A | $0.0565 + A/10,000 |
Taxes, incremental mailboxes, CRM upgrades and separately billed services are additional if the selected route requires them. Existing stack costs are not counted as new savings.
At only 60% acceptance, 10,000 useful records require 16,667 candidates, rounded up. Snov's 20,000 pool still fits one-credit finding under the model; a separately charged full verification path needs up to 33,334 credits and fits Pro L. Kaspr's illustrated 12,500 export capacity no longer fits. Acceptance changes the purchasing decision before any comparison of headline seat prices.
What phone data and retries change
Add 2,000 found phone numbers to the first workload. Under Lusha's published rate, those add 10,000 reveal credits, taking the CSV model from 13,000 to 23,000 credits before other actions. A CRM-export route would use 12,500 destination credits rather than the 500 CSV batch credits, making the same email-only model 25,000 credits.
Kaspr Business's 200 monthly phone credits do not cover 2,000 found phone profiles; additional phone capacity is a separate purchase. Snov's email example does not suddenly become a comparable phone dataset because more finding credits are available. Apollo's qualifying phone/credit treatment belongs in its A amount.
Retries also differ. Kaspr spends another export credit when the same record is exported again. A CRM import followed by a fresh CSV download can therefore spend twice on the same contact. Apollo documents exclusions for contacts already exported under applicable export-credit configurations. Preserve a destination record ID and reconcile retries rather than treating repeated rows as new accepted contacts.
The signal-based outbound playbook connects list quality to relevant outreach. A large valid email list still needs the account selection and reason to engage; a cheap exported address is not a qualified sales opportunity.
Evaluate low-cost source claims
“One cent per lead” may divide a large allowance by the subscription price while excluding verification, export, phones and unusable records. Compare the full required field set and accepted volume instead. The Snov Pro M base is $189, or $0.00945 per included credit; the modelled operating cost is $0.0754 per accepted record. Both calculations are correct, but they measure different units.
An inexpensive alternative can still be useful for company discovery, names, domains or a regional directory. Keep that input separate from a licensed, validated person-contact export. A list of company websites does not deliver the same output as named people with usable business emails.
For agency work, internal use and delivering a client's dataset can have different commercial terms. Apollo's standard-plan page explicitly separates external sharing/products from internal use. Price the route actually needed; an unofficial seller offering a huge export does not establish the underlying data entitlement.
Do not buy extra seats solely because a small plan's credit allowance looks cheap. Additional users may need genuine product access, and credit pooling, plan consistency and export limits change the arithmetic. A higher-volume package or add-on can be a better purchase than idle licences.
The practical review is whether the source yields the required current people, fields and destination rights at an acceptable cost. Retain the source identity and acceptance outcome so the next month's refresh can update useful records instead of purchasing the same unsuitable people again.
Choose the right buying route
Choose Snov.io first for the email-only volume model when its input/search routes suit the target market. Its published pools make the example's budget straightforward. Pro M fits the modelled one-credit finding route; Pro L fits the separately charged verification version.
Choose Apollo when sales search, CRM work and execution provide additional value. Compare its qualifying data purchase with the same accepted-output budget, rather than declaring its seat base the all-in export cost.
Choose Lusha when targeted email/phone reveals and its team environment fit the programme. The destination matters: CSV batches and CRM records have different published charges. Use the volume package price for that route.
Choose Kaspr when LinkedIn-led enrichment is the natural starting point. The export pool and repeat-export behaviour matter more than the unlimited B2B email label at large volume. Its illustrated monthly add-on route is workable, but phone-heavy work needs another cost calculation.
For an email-only buyer, this evidence supports Snov as the first shortlist choice on transparent volume economics, with Apollo preferred when the broader sales platform replaces other work. Coverage in the buyer's actual segment can overturn the sticker-price result. That is a reason to judge useful records, not to leave the recommendation unfinished.
FAQ
Does unlimited email access mean unlimited exports?
No. Kaspr separates B2B email access from export capacity. Apollo describes plan-specific export treatment, and Lusha prices destination actions separately. Read the capacity for the operation you need: finding an address, downloading a CSV and sending a record to CRM are distinct actions.
Should every found email be verified again?
A green Snov finder result is already verified in the documented product route. A separate verification pass may still suit an older list or the team's chosen process, but it consumes additional credits when charged. Budget it explicitly rather than automatically doubling every provider's discovery cost or assuming no validation cost exists.
Which price is cheapest for ten thousand records?
The email-only model gives Snov Pro M the lowest fully specified subscription route among the examples shown. The conclusion depends on usable yield, input fit and required fields. Apollo and Lusha need their qualifying volume amounts, while Kaspr's export add-on creates a supported $407 monthly base for the example. Compare operating cost and accepted records before extending that result to another market.
Are phone numbers included in the same economics?
The worked email-only comparison excludes them. Lusha's phones cost five credits each; Kaspr has a separate phone pool; Apollo applies its qualifying credit model. A phone requirement changes the data purchase and acceptance rate, so it needs its own total.
How do we avoid paying for the same export twice?
Keep a contact identity, source and destination record ID, then reconcile repeat imports against that history. Kaspr explicitly charges each export, including repeats, while Apollo documents exceptions under its export-credit rules. The destination should update the existing useful record rather than count the retry as another prospect.
