ZoomInfo vs Lusha: Data Quality and Pricing Compared

ZoomInfo has repositioned itself around go-to-market intelligence rather than a plain contact database, a shift formalised in May 2025 when the company changed its Nasdaq trading symbol from ZI to GTM alongside the launch of a product suite called GTM Studio (ir.zoominfo.com). On its own site, ZoomInfo states it holds more than 203 million company records and 410 million contact profiles, verified using more than 1.5 billion daily signals, and says it is used by more than 35,000 fast-growing companies (zoominfo.com). The platform is organised into separate product tiers for sales and marketing teams.

Sales tiers, Professional, Copilot Advanced and Copilot Enterprise, add mobile numbers, CRM integrations, a Chrome extension, AI email generation, intent signals and account fit scores as a team moves up the ladder (zoominfo.com). Marketing tiers add intent topics and display advertising retargeting, and ZoomInfo also sells Chorus, a separate conversation intelligence add-on, as a distinct product rather than a bundled feature. That structure signals who ZoomInfo is really built for: organisations with the budget and internal process maturity to run several connected go-to-market tools at once, rather than a single lightweight prospecting login.

That structure also affects how a deal typically closes: rather than a single self-serve checkout, most ZoomInfo contracts are negotiated with an account executive, and the final package usually reflects a mix of seats, credit volume and which add-on modules, Chorus or the marketing suite, a buyer actually needs.

Lusha describes itself more simply, as a source of B2B data and AI prospecting for go-to-market teams and, increasingly, for AI agents acting on a team's behalf (lusha.com). The company publishes specific figures on its data page: more than 290 million contacts, 29 million companies and 165 million verified emails, alongside self-reported accuracy figures of 98 percent for email and 86 percent for phone numbers, a 99.95 percent uptime service-level agreement, and certifications including SOC 2 Type II, ISO 27001, ISO 27701 and GDPR and CCPA compliance badges (lusha.com).

Lusha's product centres on a browser extension for prospecting directly from LinkedIn, paired with CRM integrations and a straightforward enrichment workflow. In January 2025, Lusha acquired Novacy, a conversation intelligence company, adding AI meeting analysis and deal coaching to what had previously been a data-only product (lusha.com). That acquisition suggests Lusha is trying to close some of the feature gap with larger platforms like ZoomInfo, without abandoning the lower-cost, self-serve positioning that has always been its main point of difference.

Lusha has also leaned into serving AI agents directly, not just human reps, positioning its data as something an autonomous prospecting agent can query programmatically rather than only through a browser extension, which reflects the same broader shift toward agentic workflows showing up across the wider sales tech category.

On raw numbers, Lusha's published figures, 290 million contacts and 29 million companies, are actually larger than ZoomInfo's stated 410 million contact profiles is bigger, but 203 million company records is smaller than Lusha's 29 million company claim would suggest at first glance, so the comparison is not as simple as picking the bigger headline figure (zoominfo.com, lusha.com). Neither company publishes its methodology in enough detail to allow an apples-to-apples independent audit, and no independent, non-vendor study comparing the two databases head to head appears to exist publicly.

What can be said with confidence is that both vendors are competing on the same axis, breadth of coverage combined with a claim of verification quality, rather than one clearly outscoring the other on volume alone. For a buyer, the practical test is not the published number but a trial search against a specific target account list relevant to the deal sizes and industries a team actually sells into, since coverage quality tends to vary sharply by sector, region and company size in ways neither vendor's headline statistics capture.

It is also worth noting that database size is a moving target for both companies, records are added, deduplicated and retired constantly, so any comparison made today is really a snapshot rather than a permanent ranking, and a team should expect the exact figures on both companies' websites to shift somewhat by the time this is read.

Lusha is the more transparent of the two on this specific point, publishing exact self-reported accuracy figures, 98 percent for email and 86 percent for phone numbers, directly on its data page (lusha.com). ZoomInfo does not publish an equivalent single accuracy percentage on its public pages, instead pointing to the scale of its verification process, more than 1.5 billion signals processed daily, as its proxy for reliability (zoominfo.com). Neither figure has been independently verified by a third-party lab or research firm in anything this research turned up, so both should be treated as vendor claims rather than audited fact.

Any comparison a team sees elsewhere online claiming one platform is a specific number of percentage points more accurate than the other should be treated with real scepticism unless it cites an independent methodology, because no such independent study appears to be publicly available for either company. The most reliable way to judge accuracy in practice remains a live trial against a team's own target list, cross-checked manually against a reasonable sample.

It is worth remembering that accuracy also varies by data type and region: mobile numbers are generally harder to keep current than business email addresses, and coverage for a mid-sized company in a smaller market often lags behind coverage for a large enterprise in the United States, regardless of which vendor is supplying the record.

Both platforms use credit-based pricing, but they differ sharply in transparency. Lusha publishes its unit economics directly: one credit reveals a verified email, five credits reveal a phone number, and a free plan includes 40 credits a month along with the browser extension and CRM integrations, with paid plans for larger teams routed to a sales conversation once a team grows past a handful of seats (lusha.com).

ZoomInfo's pricing page lists its full tier structure, Professional, Copilot Advanced and Copilot Enterprise for sales, plus separate Marketing and add-on tiers, but every tier is marked "contact for details" with no public list price anywhere on the page (zoominfo.com). That gap matters for a small or mid-market team: Lusha lets a team estimate cost before ever speaking to sales, while ZoomInfo requires a sales conversation and typically a multi-stage negotiation before a team knows what it will actually pay.

Neither approach is inherently wrong, quote-only pricing is common for enterprise software with heavy customisation, but a team with a tight or fixed budget will generally find Lusha's model easier to plan against from day one.

ZoomInfo's broader platform is built to serve larger, more process-heavy revenue organisations. WebSights tracks which companies are visiting a team's website, intent signals flag accounts actively researching a relevant topic elsewhere on the web, and Chorus adds conversation intelligence by analysing sales calls for coaching and deal-risk signals (zoominfo.com). Marketing-specific tiers add display advertising retargeting and account-based marketing filters aimed at aligning sales and marketing targeting around the same account list.

Lusha's feature set is comparatively lean by design: a browser extension, core enrichment, CRM integrations, and, since the Novacy acquisition, a conversation intelligence layer for meeting analysis and deal coaching (lusha.com). The practical difference is depth versus simplicity. A revenue operations team that wants website visitor tracking, intent data and call analysis under one roof will find far more of that natively inside ZoomInfo.

A smaller team that mainly needs clean contact data with a light enrichment layer, without extra modules it will not use, will likely find Lusha's narrower feature set easier to adopt fully rather than paying for capability that sits unused. Neither approach is right or wrong in isolation, it depends entirely on how many of those extra modules a team would genuinely use in the next twelve months, since paying for website visitor tracking or display retargeting that never gets switched on is simply wasted budget, whichever vendor is supplying it.

Independent review platforms give a useful outside read on both products. On G2, ZoomInfo holds a 4.5 out of 5 rating from 9,156 reviews, while Lusha holds a 4.3 out of 5 rating from 1,668 reviews (g2.com). On Capterra, ZoomInfo Sales holds a 4.1 out of 5 rating from 322 reviews, and Lusha holds a 4.0 out of 5 rating from 398 reviews, with Lusha scoring notably higher on ease of use specifically, 4.6 out of 5, but weaker on customer service, at 3.9 (capterra.com).

ZoomInfo also announced it ranked first in 142 separate G2 category reports for spring 2026, spanning sales intelligence, buyer intent data and lead capture, which reflects the breadth of the platform being recognised across many narrow categories rather than a single overall score (g2.com). Read together, the pattern is consistent rather than dramatic: ZoomInfo edges ahead on raw satisfaction and category breadth, while Lusha's users consistently praise how quickly the product can be picked up and used, which tracks with its simpler, more self-serve design.

It is also worth treating review-site sample sizes as a factor in their own right: ZoomInfo's much larger review base on both G2 and Capterra reflects years of broader market presence across company sizes, while Lusha's smaller but still substantial base is concentrated more heavily among smaller teams evaluating a lower-commitment purchase.

Buying access to a database of hundreds of millions of personal contact records inevitably raises compliance questions, and this is an area worth checking carefully rather than assuming either vendor has it fully solved. Lusha lists specific, checkable certifications on its data page: SOC 2 Type II, ISO 27001, ISO 27701, and GDPR and CCPA compliance badges (lusha.com). ZoomInfo does not display an equivalent certification badge list on the pages reviewed for this piece, though it operates under standard enterprise data-processing agreements as part of its contracting process.

ZoomInfo separately settled a US privacy class action related to the use of individuals' names and likenesses in its profiles for roughly $29.5 million, a useful reminder that data-broker-style businesses of this kind carry real legal exposure around how personal data is sourced and displayed. The wider data-broker sector has drawn active regulatory attention in this exact period: France's CNIL fined Solocal Marketing Services 900,000 euros and Caloga 80,000 euros over direct-marketing and consent failures (cnil.fr), while the US Federal Trade Commission brought a 2024 enforcement action against data broker Mobilewalla over the sale of sensitive location data (ftc.gov).

None of these specific actions targeted ZoomInfo or Lusha directly, but they show regulators across both the EU and the US are actively enforcing against this category of vendor, which makes it reasonable for any buyer to ask both companies directly how contact data was originally sourced and what legal basis supports processing it under GDPR before signing a contract.

ZoomInfo's rebrand to the GTM ticker and the launch of GTM Studio in May 2025 was the company's clearest recent statement of intent, moving its narrative away from being "just a database" toward a full go-to-market operating system (ir.zoominfo.com). Its strong showing across 142 G2 category reports in spring 2026 suggests that repositioning is landing well with existing customers, at least based on review sentiment (g2.com). Lusha's most significant recent move was the January 2025 acquisition of Novacy, folding conversation intelligence into a product line that had previously been focused purely on contact data and enrichment (lusha.com).

Neither company has published a major public pricing restructure in this period beyond what already sits on their own pricing pages, so teams evaluating either platform today are essentially looking at incremental feature expansion on top of largely stable core pricing models, credit-based consumption for both, rather than a wholesale change in how either business charges its customers. For a buyer, the practical takeaway from both moves is the same: the category is consolidating features rather than staying narrowly focused on contact lookups, so a decision made today should account for where each vendor is heading over the next year or two, not just what the product does at the point of signing.

ZoomInfo suits mid-market and enterprise revenue organisations that want sales, marketing and conversation intelligence connected inside one vendor relationship, and that have the budget and internal process to negotiate and manage a quote-only enterprise contract. A team running account-based marketing against a defined list of large target accounts will likely get real value from ZoomInfo's intent signals, buying-group filters and website visitor tracking working together, since those features are designed to surface exactly the kind of account-level buying signals an ABM motion depends on.

The trade-off is cost predictability: without a public price list, a team has to be prepared to negotiate, and smaller teams without a dedicated procurement process may find that friction, and the eventual contract value, harder to justify than a transparent, credit-based alternative. It is also the more defensible choice for a regulated industry or a larger enterprise procurement process, since ZoomInfo's established enterprise contracting experience and broader compliance documentation are generally easier to push through a formal vendor security review than a newer, leaner platform would be.

Lusha suits smaller and mid-market teams that want to get from signup to a working prospect list within the same day, without a sales call or a multi-week procurement process. Its free 40-credit plan and transparent per-credit pricing make it realistic to test properly before committing budget, which particularly suits teams running high-volume cold email outreach or LinkedIn outreach campaigns where the priority is a steady, affordable stream of verified contacts rather than a deep bench of intent and marketing features a smaller team will not fully use.

Lusha's specific, published accuracy claims and certification list also make it easier for a lean team to do its own compliance due diligence quickly, without needing a lengthy security review cycle before a contract can even be signed. It is a reasonable default, too, for a team that has been burned before by a long enterprise sales cycle for a tool it only partially uses, since Lusha's published pricing and lighter feature set make it far easier to size the actual spend against the actual value before committing.

Whichever platform a team picks, neither solves the underlying issue that raw contact data does not convert itself into pipeline. Salesforce's State of Sales research found that sales reps spend 60 percent of their time on non-selling tasks, leaving only around 40 percent for actual customer engagement, and that 74 percent of sales teams using AI are now prioritising data hygiene as a direct response to that pressure (salesforce.com).

The same research found high performers are 1.7 times more likely than underperformers to use AI-assisted prospecting tools, which suggests the gap between teams is increasingly about disciplined process around good data, not just which database a team buys access to. A large, accurate contact list from either ZoomInfo or Lusha still needs someone to segment it correctly, write relevant messaging, and follow up consistently, otherwise the accuracy percentage on the vendor's website never translates into a meeting on a calendar.

None of this is an argument against buying good data, it is an argument for budgeting time and ownership for the follow-through, not just the subscription, since the vendor invoice is usually the smaller line item compared with the cost of the team hours needed to act on what that data reveals.

This is usually where a lean team faces the same decision regardless of which database it chooses: keep the full workflow in-house, from list-building through to booked meetings, or bring in a team that already runs this end to end. Leadriver's B2B lead generation work is built around exactly that gap, pairing properly sourced and enriched contact data with the execution layer that actually converts it, cold email outreach and cold calling run daily, appointment setting to keep a rep's calendar full, and account-based marketing for named target accounts where a single wrong message can cost a deal.

For larger accounts or industries where a face-to-face conversation moves faster than another email, that execution layer can extend to events and an on-ground sales rep working the territory directly, which is often the difference between a contact list sitting in a CRM and a pipeline that actually closes. This does not mean the in-house route is wrong, plenty of teams run this well themselves, but it does mean the decision should be made deliberately, weighing the cost of a dedicated in-house function against the cost and speed of an outsourced team that already has the process, the writers and the reps in place.

If a team needs sales, marketing and conversation intelligence working together inside one enterprise-grade platform and has the budget and process to negotiate a quote-only contract, ZoomInfo's broader feature set and strong review sentiment make it the safer default. If a team wants transparent, credit-based pricing, a genuinely fast setup, and a leaner feature set focused on prospecting and enrichment, Lusha's published pricing and certification list make it easier to trial and justify quickly.

Whichever platform is chosen, run a real trial against a sample of the team's own target accounts before committing budget, verify the compliance claims directly with each vendor rather than relying on marketing copy alone, and remember that the database is only the raw material. The team turning that data into conversations, whether in-house or outsourced, is what actually decides whether the investment pays off.

Either way, treat the first ninety days as a trial of the whole workflow, not just the database, since the real signal a team needs is whether meetings are actually getting booked from the list, not whether the contact count on the vendor's homepage looked impressive at the point of purchase.