How does Lusha data sit with GDPR and CCPA obligations?

Lusha publishes a privacy centre with a public removal portal at lusha.com/privacy-center/request-removal/, processes CCPA opt-out and deletion requests through its Do Not Sell mechanism, and relies on legitimate interest as the lawful basis for contact processing under GDPR. Public certifications include ePrivacyseal and ISO 27701. On our side, contact records from Lusha land in a separate warehouse layer with the lawful-basis tag, source page and revealed-by user preserved, so your DPO can answer a subject-access request without reverse-engineering how a record entered a sequence.

Lusha connector

Use your Lusha data for reporting, automation and AI.

Data Panda brings your Lusha contact, account and intent data together with the data from the rest of your business. From one place, we turn it into dashboards, automations, AI workflows and custom apps your team uses every day.

Lusha

About Lusha

B2B contact data that starts in a Chrome tab.

Lusha was founded in 2016 by Yoni Tserruya and Assaf Eisenstein as a self-service B2B contact platform with a Chrome extension at the centre of the motion. The company sits in Tel Aviv and has grown to a reported 280,000-plus revenue teams and over 670,000 sales professionals on the platform, with a contact graph the company puts at around 220 million data entries.

The product covers four pieces sales teams genuinely touch: a verified contact and company database, a Workspace that pulls CRM data and buying signals into one prospecting view, a Chrome extension that surfaces emails and direct dials on LinkedIn, and an API plus webhooks layer for CRM enrichment and sequence handoff. The compliance pitch is GDPR-ready with legitimate-interest framing, ePrivacyseal certification, ISO 27701 and CCPA processes documented in the public privacy centre, which matters when an EU sales team has to defend how a contact ended up in an outbound list.

The reason to pull Lusha into a warehouse is that the credit-and-extension motion hides the metrics finance and RevOps need most. Reveal credits spent per booked meeting, contact-decay on enriched records, ICP-fit on accounts the team is touching, and the share of intent signals that ended in a sequence reply all live in the gap between Lusha, the CRM and the engagement tool. Next to billing and pipeline, that data turns into a real prospecting picture instead of a credit-counter in the extension.

What your Lusha data is for

What you get once Lusha is connected.

Reveal spend versus booked meetings

Lusha credit burn, contact freshness and intent activity sitting next to CRM outcome and invoiced revenue.

Credits spent per booked meeting per ICP segment and per rep
Contact-decay on enriched records against bounce and job-change rate
Buying-signal-to-sequence-reply conversion per persona and topic

Reveal-to-sequence handoff

Let a Lusha reveal fire the right next step in the right tool, with no rekeying.

ICP-matched reveal pushes the contact into the right sequence in Outreach or Salesloft
Bounced or job-changed Lusha contact routes to a refresh queue automatically
Closed-won in the CRM retires the contact from active outbound

AI workflows on enrichment data

Train scoring and next-best-action on the contacts the team reveals every day.

Account scoring on firmographics, persona mix and intent topic
Lookalike modelling from closed-won accounts against the Lusha graph
Reveal-yield prediction per ICP segment, persona and source page

Custom apps on your prospecting data

Internal tools on Lusha data for SDR leadership, RevOps and marketing.

Credit-spend dashboard tied to pipeline produced per segment
ICP coverage view of target accounts with no revealed contact yet
Persona-level reveal yield by source page and SDR

Use cases

Use cases we deliver with Lusha data.

A list of concrete reports, automations and AI features we have built on Lusha data. Pick the one that matches your situation.

Credit per meetingLusha reveal credits spent per booked meeting and per closed deal.

Contact decayBounce and job-change rate on revealed contacts over time.

ICP coverageShare of target accounts with at least one revealed contact.

Extension vs API mixReveals through the Chrome extension versus the API or CRM sync.

Persona yieldReveal success rate per persona and seniority band.

Intent to replyBuying-signal flagged contacts converted to sequence replies.

Source-page liftWhich LinkedIn search or list page produces the best reveals.

Lookalike accountsNew accounts resembling your closed-won cohort on the Lusha graph.

Compliance trailLawful-basis tag and source recorded against every revealed contact.

Direct-dial yieldConnect rate on Lusha direct-dial numbers per region and persona.

SDR ramp curveHow new SDRs ramp on Lusha across their first four quarters.

Tier-spend trendSelf-service credit usage versus enterprise-tier seat consumption.

Real business questions

Answers you will finally get.

What is each Lusha reveal credit buying us?

Lusha credit spend matched to the contact revealed, the sequence the contact entered, the meeting it produced and the CRM deal it closed against. Tells SDR ops the cost per qualified meeting and per closed deal on the Lusha line, instead of a flat credit count that says nothing about whether the contact ever picked up.

How fast is our revealed contact list decaying?

Bounce rate, invalid-title rate and job-change frequency on the Lusha contact set, trended by quarter and ICP segment. Tells SDR ops when a list needs a refresh cycle rather than waiting for reply-rate to fall off a cliff on the next campaign.

Are SDRs getting more value from the Chrome extension or the CRM-side reveal?

Reveal volume, contact accuracy and meeting yield split by Chrome-extension reveals versus API or CRM-sync reveals. Surfaces whether the team's wins are coming from prospecting in LinkedIn or from enriching CRM lists upstream, so leadership can fund the motion that books meetings in your segment.

Value for everyone in the organisation

Where each function gets value.

For finance leaders

Lusha credit and seat spend tied to pipeline produced and to the cost per qualified meeting on the Lusha line. Finance can see whether the self-service tier is doing the work or whether enterprise seats are paying for revealed contacts that go nowhere.

For sales leaders

Reveal yield, contact freshness and intent flag on every account the team is touching. SDRs stop guessing which LinkedIn list to scrape next, and SDR leaders see which personas and source pages produce meetings that close in their segment.

For operations

Contact decay, ICP coverage and credit efficiency in one picture. RevOps spots the segments where revealed contacts go stale faster than the team can refresh them and the territories with target accounts no SDR has revealed yet.

Ideas

What you can automate with Lusha.

Lusha

Pair with HubSpot

Land Lusha enrichment on HubSpot companies and contacts

Lusha company, contact, direct-dial and buying-signal data syncs onto the matching HubSpot company and contact, with the original lawful-basis tag preserved. Marketing builds workflows that only fire on ICP-matched intent, and sales stops inheriting HubSpot records with a bounced primary contact and no record of where the email came from.

Lusha

Outreach.io

Pair with Outreach.io

Push Lusha reveals into the right Outreach sequence

A Lusha reveal on an ICP-matched contact pushes the person into the right Outreach sequence, with the source page and intent flag carried into the first-touch template. SDRs stop copy-pasting from the extension into a sequence picker, and leadership can measure reveal-to-meeting conversion per persona and source page in one place.

Lusha

Apollo.io

Pair with Apollo.io

Run Lusha and Apollo side by side and compare reveal yield

Teams comparing Lusha against Apollo's bundled database often run both for a quarter on the same target accounts. We land reveal volume, contact accuracy, sequence reply and meeting outcome from each platform on the same person and account, so SDR leadership can pick the database that books real meetings in their ICP before consolidating spend.

Lusha

Pair with Gong

Enrich Gong call context with Lusha firmographics

Lusha contact, company and intent data joins Gong call recordings for the same account. Coaching calls get reviewed with the prospect's persona, firmographics and most recent buying signal in view, and RevOps can check whether the objections Gong flags cluster differently on contacts that came in via the Chrome extension versus an API enrichment.

Your existing tools

Your data lands in a warehouse. Your BI tools read from it.

You keep the reporting tool you already have. We connect it to the warehouse where your Lusha data lives.

Power BI Microsoft

Fabric Microsoft

Snowflake Data warehouse

BigQuery Google

Tableau Visualisation

Excel Sheets & pivots

Three steps

From Lusha to answers in three steps.

Connect securely

OAuth authentication. Read-only by default. We sign a DPA and your admin keeps the keys.

Land in your warehouse

Data flows into your warehouse on your schedule. Near real time or nightly, your call. You own the data.

Reporting, automation, AI

We build the first dashboard, workflow or AI feature with you, then hand over the keys. Or we stay on for ongoing delivery.

Two ways to work with us

Pick the track that fits how you work.

Track 01

Self-serve

We set up the foundation. Your team builds on top.

Lusha connector configured and running
Warehouse set up in your cloud account
Clean access for your Power BI, Fabric or Tableau team
Documentation on what's in the data model
Sync monitoring so you're warned before reports break

Best fit Teams that already have a BI analyst or data engineer and want to own the build.

Track 02

Done for you

We build the whole thing, end to end.

Everything in Self-serve
Dashboards built to the questions your team actually asks
Automations between your systems
AI workflows scoped to real tasks your team runs
Custom apps where a dashboard does not cut it
Ongoing delivery at a pace that fits your team

Best fit Teams without in-house BI or dev capacity. You tell us what you need and we deliver it.

Before you book

Frequently asked questions.

Who owns the data?

You do. It lands in your warehouse, on your cloud account. We don't resell or aggregate it. If you stop working with us, the warehouse stays yours and keeps running.

How fresh is the data?

Near real time for most operational systems. For heavier sources we schedule hourly or nightly. You pick based on what the reports need.

Do I need a warehouse already?

No. If you don't have one, we help you pick one and set it up as part of the first delivery. Common starting points are Snowflake, Microsoft Fabric, or a small Postgres start.

Where does Lusha sit between ZoomInfo and Apollo for our team?

ZoomInfo sells the deepest enterprise contact graph plus Scoops and visitor identification at enterprise pricing. Apollo bundles a database with sequences and a dialler under one login. Lusha sits in the simpler self-service slot, leaning on the Chrome extension on LinkedIn, freemium entry and an EU-friendly compliance posture, without an engagement layer of its own. We can put reveal yield, contact accuracy and meeting outcome from each platform side by side on the same accounts so the choice rests on numbers from your ICP, not the sales deck.

GDPR-compliant

Data stays in the EU

You own the warehouse

A first deliverable live in four to six weeks.

We review your Lusha setup and the systems around it. Together we pick the first thing worth building.

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