# Yalc vs Lusha, Native Enrichment vs a Contact Data Point Tool > Canonical: https://www.yalc.ai/blog/yalc-vs-lusha/ A head to head comparison of Yalc's orchestration layer against Lusha's single source contact database, decided on coverage, deliverability, and cost per verified contact. Yalc vs Lusha is a category comparison, not a tool swap. Lusha is a single source contact database with a browser reveal meter that charges you every time you click. Yalc is an operator OS that runs waterfall enrichment across FullEnrich, Crustdata, and Unipile from one prompt, with no per credit tax on the orchestration layer. That is the bottom line. Below is the head to head that explains it, with pricing pulled from the live vendor pages today and a clean verdict on when Lusha is still the right pick. If the wider category read is what you want after this, [the operator ranking of Lusha alternatives](/blog/lusha-alternatives/) sits at the top of the cluster. ## Yalc and Lusha at a glance | Dimension | Lusha | Yalc | |---|---|---| | Shape | SaaS contact database plus Chrome extension | Operator OS in Claude Code | | Data model | One database, one source | Waterfall across data vendors via API | | Pricing | Per credit, sold in plans | Free repo, pay only the data vendors underneath | | Where data lives | Lusha's cloud | Your machine, your CRM | | Reveal meter | 1 credit per email, 10 per phone | No orchestration meter, vendors charge for hits | | Fit | Ad hoc browser lookups | Recurring outbound loops that compound | Two rows on that grid decide most of the argument. The reveal meter, which is invisible until you look at cost per verified record rather than cost per credit. And the shape, because a Chrome extension serves a rep clicking on a LinkedIn profile, and a prompt serves an operator running a signal driven outbound loop every morning. Those are two different jobs. ## What Lusha is built for and where it stops Lusha earned its share by being the fastest browser lookup in sales. Open the extension, click a LinkedIn profile, get a phone number in two clicks. The company reports its database at around 280 million direct dials, 152 million emails, and 30 million companies ([Amplemarket audit](https://www.amplemarket.com/blog/what-does-lusha-really-do)), which is real. For a rep who touches thirty accounts a week and wants a number when they need one, that shape works. Three things stopped scaling at the same time. Coverage plateaued on real ICP lists, because a single database returns what it has and nothing more. Independent testing places Lusha's user reported email accuracy at roughly 60 to 70 percent ([Cleanlist 500 lead test](https://www.cleanlist.ai/blog/2026-03-07-lusha-vs-apollo)). One in three reveals is a wasted credit, and the miss is loud on non US, non VP, or vertical specific lists. Credit math stopped penciling. Lusha's live pricing today runs Starter at $49.90 a month for 400 credits, Professional at $69.90 for 600, and Premium at $399.90 for 3,400, with an email at 1 credit and a phone at 10 credits ([Lusha pricing](https://www.lusha.com/pricing/), fetched 2026-07-22). At Starter that is 40 phones or 400 emails a month, which a real outbound team burns on one Monday morning list. Workflow shape stopped matching how outbound gets run. Operators moved off Chrome extensions and onto the API call fired every morning against a fresh signal list. A browser first tool cannot serve that shape without a human inside a tab. ## What Yalc does differently, native waterfall enrichment Yalc is not another database. It is the orchestration layer that runs your enrichment as a waterfall across the best of breed vendors from one Claude Code prompt on your machine. There is no native contact bucket. You bring the vendors that already win their category, and Yalc handles the middle mile between them. The concrete pattern is one skill, several APIs. [Crustdata](/tools/crustdata/) supplies firmographic and signal data at the sourcing step. [FullEnrich](/tools/fullenrich/) runs the waterfall across twenty plus premium providers and only bills when it lands verified data. [Unipile](/tools/unipile/) covers LinkedIn contact and outreach. Results write to a local file, a spreadsheet, or straight into [HubSpot](/mcps/hubspot/) as the record of truth. The [waterfall enrichment playbook](/blog/waterfall-enrichment/) walks the exact chain and why the fallback order matters more than any single vendor's marketed accuracy. The reason this shape beats Lusha on the same list is mechanical. A single source hit rate around 60 to 70 percent means every third record needs a second source anyway, so the operator either accepts the miss or opens a second tool. A waterfall fires the second source automatically inside the same call, then the third, then the fourth, until the field verifies or all vendors return empty. FullEnrich charges €0.055 per credit at the Pro rate of €55 a month for 1,000 credits, with a work email at 1 credit, a personal email at 3 credits, and a mobile at 10 credits ([FullEnrich pricing](https://www.fullenrich.com/pricing), fetched 2026-07-22). The meter is verified only, so you stop paying on misses that a single source tool bills you for anyway. ## Data coverage and accuracy compared Lusha's headline is the database. The operator headline is the hit rate on your list, and the number that carries the argument is cost per verified contact, not price per plan. On the coverage question, Lusha is strongest for US mid market accounts and thins out on European, APAC, and non VP contacts. Cleanlist's live 500 lead test placed Lusha email accuracy at 80 to 85 percent and cost per valid contact around $1.50 on a mixed list, while user reported accuracy in the wild lands closer to 60 to 70 percent depending on ICP ([Cleanlist](https://www.cleanlist.ai/blog/2026-03-07-lusha-vs-apollo)). Both numbers matter, because the marketed accuracy is the ceiling and the user reported figure is what your team actually spends against. Yalc has no native database, so accuracy is a function of the vendors you route through. On a US mid market list, that stack is usually Crustdata plus FullEnrich for the enrichment step, and the [best lead enrichment tools breakdown](/blog/best-lead-enrichment-tools-2026/) walks through the fallback order most operators settle on. On an EMEA list, the FullEnrich waterfall typically returns more mobiles because it queries providers heavier on European data. Cognism itself claims 87 percent of records include phone verified mobiles ([Cognism](https://www.cognism.com/blog/lusha-alternative)), but a stat like that only matters if the records survive the deliverability floor once you send. The reframe most Lusha buyers never make is this. If your problem is Lusha misses on your ICP, a better single source postpones the problem for a quarter. A waterfall solves it structurally. The operator OS logic is the same one running underneath [the best sales intelligence tools breakdown](/blog/best-sales-intelligence-tools-2026/), where the deciding move is composition rather than picking a single winner. ## Deliverability, why data quality now decides inbox placement The stat that changed the game is not on Lusha's page or Yalc's, and no ranking article on this keyword ties it back to the pricing decision. Since February 2024, Google and Yahoo require any sender above 5,000 messages a day to Gmail addresses to authenticate with SPF, DKIM, and DMARC, offer one click unsubscribe, and keep the spam complaint rate under 0.3 percent, ideally under 0.1 percent ([Google bulk sender guidelines](https://support.google.com/a/answer/81126)). Cross the threshold and your domain gets throttled regardless of copy quality. The math from there is direct. A single source database with a 60 to 70 percent verified rate multiplies bounces on every send, and bounces feed the spam signal that pushes a domain past the line. A waterfall driven verified rate closer to 80 to 85 percent cuts the bounce load mechanically, which keeps the domain sendable. That is the mechanism a data tool cannot fix from inside a Chrome extension, and it is why [cold email deliverability](/blog/cold-email-deliverability/) is now the second half of the enrichment decision, not a separate topic. Yalc does not send email itself. It routes enriched lists into [Instantly](/tools/instantly/) or the sender you already trust, so the deliverability posture stays consistent across every campaign, and the data upstream stops being the reason the domain burns. Sender infrastructure survives what your data pipeline feeds it, and no more. ## Pricing model, per credit tool versus orchestration layer Every Lusha comparison stops at plan price. The one that matters is the meter model, because the meter decides what iteration costs you. Lusha meters per reveal attempt. Every click on the reveal button charges credits whether the underlying record verifies or not, and the meter runs on the client, not on the outcome. That model is fine at ad hoc volume. It punishes teams the moment the workflow becomes a recurring loop, because rerunning a list burns credits every pass and the credit budget was never designed for iteration. Yalc has no orchestration meter. It is one integration billed as one, and what you pay beyond that sits one layer below, the data and messaging APIs Yalc calls on your behalf. FullEnrich charges on verified hits only, Crustdata charges per API call at the vendor rate, Unipile charges per LinkedIn account per month. Every vendor invoices for what its API actually delivered, and swapping one does not need a new platform contract. One detail flips the pricing frame. At the same monthly outlay, iteration is nearly free on the Yalc side and expensive on the Lusha side, because rewriting a skill does not spend credits and rerunning a Lusha list does. The same shape appears in the [Yalc vs Clay comparison](/blog/yalc-vs-clay/) and in [Yalc vs Apollo](/blog/yalc-vs-apollo/), because the argument is the same one against any hosted meter. ## When Lusha is still the right pick Lusha wins for a specific and honest set of profiles, no apologies needed. A rep whose day is spent on LinkedIn profiles, one at a time, and who values two clicks to a phone number more than a workflow that runs while they sleep. The extension is genuinely the fastest way to serve that shape of work. A small team on a US mid market ICP where Lusha's coverage sits at its strongest, credit volume stays under a plan cap, and nobody wants to onboard a second tool. Starter at $49.90 a month is fine at that shape. A recruiter or a solo consultant who needs three or four numbers a day and does not run outbound loops. The credit budget lasts, the extension flow is faster than any API call would be, and the workflow is not the bottleneck. A team already running a sender they trust and only wanting the data layer, and where API integration is not a priority. Ripping Lusha out costs more than the marginal upside on hit rate. If any of those describe you, stay. Fighting the tool to save on a per credit contract you barely notice is a bad trade. The [ranking of the best Lusha alternatives](/blog/best-lusha-alternatives/) walks the head to head against every other named option if the fit is still borderline. ## How to switch from Lusha to Yalc Migration off Lusha is not an export, because Lusha is a Chrome extension shape and Yalc is a prompt shape. The playbook is a rewrite of the enrichment step, done in a way that pays back inside the first list. Start with the target list. Pull the last thirty days of Lusha reveals into a CSV so you have a real baseline. Note the reveal count, the hit rate, and the cost per verified contact. That is your before number, and the migration succeeds or fails against it. Rewrite the enrichment call as one Yalc skill. The skill reads a list of LinkedIn URLs or company domains, calls Crustdata for the firmographic and people data, hands the identifiers to FullEnrich for the waterfall on email and mobile, and writes the verified results back to a local file, a sheet, or your CRM through the HubSpot MCP. One prompt runs the whole thing, and the [lead qualification skill](/skills/qualify-leads/) sits on the same layer to filter before any send. Run both stacks in parallel on the same 500 person list for a week. Confirm the Yalc waterfall matches or beats the Lusha hit rate on your ICP, then compare cost per verified contact against the baseline. If the delta is positive, cancel the Lusha plan at renewal and route the saved budget into more waterfall credits, which pay only on hits anyway. The step by step waterfall enrichment guide covers the fallback order, and [the lead enrichment reframe](/blog/lead-enrichment/) sits one layer above. ## Run it from one Yalc prompt Open your last month of Lusha spend and count how many reveals produced a contactable, converting record. Divide dollars by usable records. That is your true cost per verified contact, and it is almost always higher than the sticker price on the plan. Then decide which shape your workflow actually is. If it is a rep clicking on profiles, keep Lusha and skip everything above. If it is a recurring loop that fires on signals, hires, or funding rounds, the shape is a prompt, and the tool has to match. Clone the Yalc repo, wire in Crustdata and FullEnrich, and run the first list from one Claude Code conversation. The [AI SDR tools field map](/blog/ai-sdr-tools/) covers what that operator OS pattern replaces across the wider stack. The teams winning at outbound in 2026 are not the ones with the highest hit rate on a single vendor. They are the ones who moved the enrichment decision one layer up, so any vendor plugs in and the workflow compounds every time it runs. ## Frequently asked questions ### Is Lusha worth it in 2026? Yes for the specific shape it was built for, ad hoc browser lookups on US mid market accounts by a rep who wants a phone number in two clicks. Not for a team running recurring outbound loops at real volume, because the per credit meter charges on every reveal attempt regardless of whether the record verifies, and independent testing places user reported email accuracy at 60 to 70 percent on mixed lists. ### Is there a free alternative to Lusha? Yes, several exist. Hunter and Apollo ship free tiers with limited monthly credits, and RocketReach includes a small free allocation. None of the free options scale, they exist to onboard users onto paid plans. Yalc is not free, but it removes the per reveal meter on the orchestration layer and pushes the meter down to verified data only. ### How accurate is Lusha data? Marketed email accuracy on Lusha's site sits near 98 percent, live 500 lead testing places it at 80 to 85 percent, and user reported accuracy in the wild lands closer to 60 to 70 percent depending on ICP. Phone accuracy trails behind, and coverage is strongest for US mid market and thins out on European, APAC, and non VP contacts. A waterfall driven approach typically lifts verified rates on the same list by mechanically querying more vendors. ### Is Lusha better than Apollo? Lusha is better as a pure data layer for a team that already has a sender it trusts and only wants the contact record. Apollo bundles a database, a sequencer, and a light CRM into one seat, so it wins for founders who want one login. Neither is the right pick for a team running recurring outbound loops that need waterfall enrichment across multiple vendors, which is where a category swap to an operator OS lands. ### What replaces Lusha for European coverage? Cognism is the standard pick for European data because the database is heavier on EMEA mobile numbers and the compliance posture aligns with GDPR expectations. In a Yalc orchestrated stack, Cognism style coverage plugs in as one more vendor inside the waterfall, so European contacts run through Cognism first and the rest of the world routes through FullEnrich and Crustdata, without renegotiating a platform contract. ### How much does Lusha cost per contact? At Starter, Lusha is $49.90 a month for 400 credits, which is 400 emails or 40 phone reveals. At Professional it is $69.90 for 600 credits, at Premium $399.90 for 3,400 credits. Sticker cost per email is roughly $0.10 to $0.12, but the cost that matters is per verified contact, which lands 30 to 40 percent higher once you account for reveals that returned unusable records. ### Does Lusha have an API? Yes, Lusha exposes an API on its higher plans for enrichment calls, but the credit meter still runs per reveal attempt regardless of whether the call is made from the extension, the app, or the API. Wiring the Lusha API into an outbound loop does not change the pricing math or the single source hit rate, so most teams switching to an API driven workflow route through a waterfall provider like FullEnrich instead.