Lusha alternative: the data decides, not the credits

Lusha's free plan gives you 40 credits per month. Revealing a verified email address costs 1 credit, revealing a phone number costs 10, according to the vendor's own pricing grid (Lusha, pricing page, 2026). Four direct dials a month: that is usually the exact moment someone types "lusha alternative" into a search box.

What follows is almost always the same, a comparison of quotas and price tiers between contact data vendors. That is the wrong axis, especially if you prospect in France or elsewhere in the EU. What actually decides is the nature of the data you buy and the legal regime attached to it: a person's direct dial and a contact address published by a business are not collected the same way and cannot be used under the same conditions. This article starts there, and it says plainly when staying on Lusha is the right call.

What Lusha does well, and what an alternative has to match

Three points, without irony: they explain the tool's position.

Direct dials. This is the house speciality, and the reason a phone credit is worth ten email credits: the data is scarce, expensive to maintain, and it is the one that gets someone to pick up. The vendor claims 290 million verified contacts and 28 million companies, with stated accuracy of 98% on emails and 86% on phone numbers (Lusha, official page, 2026). Those are vendor figures, but the order of magnitude is real.

Extension ergonomics. The gesture is short: you are on a profile, you click, the details appear. No export, no intermediate file, no break in the browsing flow. Plenty of more complete tools lose on this single point, because they force a detour through another interface.

CRM integrations. Native Salesforce and HubSpot apps, plus an API for the rest of the stack (Lusha, official page, 2026). The data lands where the team already works, with no manual CSV import. In daily use, that is often what separates a tool people adopt from one they drop after three weeks.

The credit is not the unit that decides

The pricing model is readable: the Starter plan is listed at $49.90 per month for 400 credits, with higher tiers and a lower rate on annual commitment (Lusha, pricing page, 2026). The amount is not the point, and comparing invoices would be the least useful thing we could do for you. The point is what the credit measures.

A credit is spent on a person you have already identified: a profile, a record, a name found somewhere else. The tool answers "what are this person's details" very well. It does not answer "who should I call". That second question, sourcing, stays entirely on your side, and it is usually the one that eats the most selling time.

Second consequence: the coverage of a prebuilt database follows how visible people are online. It is excellent on management roles in structured companies, where professional profiles are kept current. It degrades on the local business fabric, garages, clinics, shops, trades, where the owner often has no usable profile at all. That is not a manufacturing defect, it follows directly from the sources the vendor declares: its community program, publicly available sources, data brokers and business social network profiles (Lusha, Personal Information Notice, 2026).

Two kinds of data, two legal regimes

This is the point credit comparisons never raise, and the one with the most practical consequences in Europe.

A name attached to a direct dial or to a named email address is personal data, including in a purely professional context, and its reuse for prospecting is regulated. The French data protection authority states that prospecting aimed at professionals may rest on legitimate interest, provided the person was informed that their address or number could be used for prospecting, and is able to object simply and at any time (CNIL, official page, updated 10 June 2026).

The same page draws a clear line: generic addresses such as info@company.fr or contact@company.fr, which belong to legal entities rather than individuals, are not subject to those principles. Two neighbouring rows in the same file can therefore sit under two different regimes.

Lusha works on the personal data side and says so. Its declared basis is legitimate interest, and its information notice gives 14 days to opt out after the first notification, then a right to object at any time (Lusha, Personal Information Notice, 2026). The vendor also displays ISO 27701, ISO 27001 and SOC 2 Type 2 certifications (Lusha, data privacy page, 2026). None of this is a criticism: the framework is better documented than at many vendors.

For you, it means a file is never frozen: anyone who objects has to leave your lists, and tracing the origin of each contact becomes a standing cost. That work appears on no pricing page. We covered what that upkeep involves in our guide to data enrichment and its compliance conditions. These lines describe public texts and are not legal advice.

Starting from an area rather than a profile

outsend answers a different question. The entry point is not a person but a territory and an activity: "roofers within 30 km of Rennes", "dental practices in one district". The output is not an individual record but a list of establishments with their published contact details, to which legal identity and contact channels are then attached.

Extraction starts from the map (pull establishments from Google Maps and export them to CSV), then every row is matched against the French Sirene register for the SIRET, SIREN, VAT and RCS numbers, along with the legal form and directors used to qualify the list. Then reachability: extra phone numbers published on the company website and verified professional contact addresses (email lookup built around French compliance). The base layer is public: the Sirene register covers close to 25 million companies and 36 million establishments, updated daily (Insee, official page, 2026).

Where Lusha stays the better choice, and it needs saying plainly. As soon as your target is a named individual inside a structured organisation, the CFO of an 800-person group, the procurement lead of an industrial site, area logic is useless. You are after one specific person with a direct line, not an establishment. A continuously maintained database of named contacts is the right tool there, and no map extraction will ever replace a verified direct dial. If that is most of your work, stay on Lusha.

The split is clean. Large accounts and named roles: the named contact database. Local businesses, prospecting by territory or by trade, with legal attachment needed: list building on demand. Many teams have both needs and run two tools, which is healthier than asking one to do the other's job. We also published a breakdown of French company databases and their open data sources.

Lusha and Apollo in the same stack

The "lusha and apollo" suggestion comes up often enough to deserve an explanation. It is not hesitation between two competitors but a deliberate stack, for a structural reason: the two products sit at different points of the chain.

An outbound platform builds a list from firmographic filters, then runs the follow-up sequences. A contact data vendor fills the gaps on records that come back incomplete, direct dials above all. Hence the reflex: source in one, complete in the other. The cost of that stack is mostly operational: two reference sets, two freshness dates, two opt-out mechanisms to push back into the same CRM.

The useful question, before adding a third brick, is which link is missing. If your records are empty because you cannot find the right person, add a named contact vendor. If they are empty because the company itself is in no prebuilt database, no contact vendor will fix it: the sourcing step is what has to change, not the enrichment step. You repair a chain at the broken link, which is the logic of a prospecting pipeline assembled without code.

Decision grid, criterion by criterion

The table names no winner. It lines up two kinds of tool on objective criteria, to be read column by column depending on the question you actually have. The volumes and credit costs repeated here come from the vendor's own pages (Lusha, pricing page, 2026 and Lusha, official page, 2026).

If your empty cells are about people, the left column answers. If they are about companies you have not identified yet, it is the right one, and you can request free alpha access to test it on your own area.

Five questions before you decide

Is the Lusha free plan enough for a serious test?

It is enough to judge quality, not to produce. With 40 monthly credits, at 1 credit per email and 10 per phone number, you get at most 40 addresses or 4 direct dials (Lusha, pricing page, 2026). That works for an honest test, provided you run it on your real target and not on well-known companies, where every database looks the same.

Can direct dials bought from a third-party database be used in Europe?

Prospecting aimed at professionals can rest on legitimate interest, but the person must have been informed of that use and be able to object simply and at any time; generic addresses belonging to legal entities fall outside those principles (CNIL, official page, 2026). In practice: keep the origin of every contact, and know how to process an objection.

Is coverage the same across countries and company sizes?

No, and it is the least well assessed point before purchase. The volumes any vendor announces are global and aggregated: they say nothing about fill rate on your segment. The only figure that concerns you is the one you measure on your own prospects.

Should you replace Lusha, or add to what you already have?

Neither, strictly speaking: first identify which of the two steps costs you time. If it is finding the details of a known person, keep the tool that does that well. If it is building the list of companies to contact in an area, change the step, not the vendor. Straight replacement is rarely the right answer.

How do you check an alternative in one week?

Take 20 companies representative of your target, no more. Run the same list through both tools and measure three fill rates: reachable phone, usable contact address, legal attachment present. Add the indicator everyone forgets: how many rows you discard on reading. That test settles it more reliably than any comparison, this one included.