Proof 01
High accuracy rates
CIENCE maintains over 90 percent accuracy across data points, which is the difference between a list that works and one that damages the sending domain.
CIENCE is a B2B data provider for teams that need verified contacts, company data, technology signals, and intent context. Curated records help sellers find the right prospects, enrich accounts, and run more precise outbound campaigns.
750M+ verified records. No commitment.
Trusted by B2B teams
The original CIENCE page positions B2B data as a precision layer: accurate fields, wide coverage, and enrichment that matches the target market instead of a generic contact export.
Proof 01
CIENCE maintains over 90 percent accuracy across data points, which is the difference between a list that works and one that damages the sending domain.
Proof 02
Datasets include demographic, firmographic, technographic, and psychographic fields so sellers can understand the prospect before outreach begins.
Proof 03
Data can be enriched around the market, segment, account criteria, and fields that matter to the client's sales motion.
List builder
ICP
Who should we reach?
Fields
What needs to be known?
Verify
Which records are ready?
Export
Where does the data activate?
CIENCE goes beyond standard datasets. The page emphasizes custom lead lists, multi-source verification, and enrichment that keeps the data aligned to the sales strategy.
01
Lists are designed around the ideal customer profile so the resulting records match the sales goals.
02
CIENCE aggregates records from trusted sources and checks them for accuracy and reliability.
03
Data is refreshed and enhanced so the records stay current, relevant, and ready for campaign use.
The feature set is built for outbound: market coverage, data quality assurance, and enrichment that gives sellers enough context to write a relevant message.
Feature 01
Feature 02
Feature 03
CIENCE positions the service around trained researchers, client support, and human plus AI review so the data can be used inside live sales systems.
Book a meetingReason 01
CIENCE researchers are trained to maintain accuracy and quality in the data they provide.
Reason 02
The team helps clients put data to work inside CRM and sales tools.
Reason 03
Human research and AI-supported analytics work together to produce precise sales data.
A client review and three scale figures sit behind this: profiles, company records, and data points processed each day.
"CIENCE has helped immensely with lead generation and data gathering for our email marketing campaigns. It was easy to get up and running, and we have not looked back."
750M+
A large profile repository across industries for targeting and personalization.
30M+
Company-level data that helps identify potential clients, partners, or competitors.
1B+
Daily processing keeps records current and actionable.
CIENCE's B2B data bridges business insight and sales action by giving teams the fields needed to identify, contact, and understand target accounts.
Coverage 01
Detailed professional information helps teams identify and reach decision makers.
Coverage 02
Accurate and verified contact information supports controlled outreach.
Coverage 03
Firmographic context helps teams understand target accounts before outreach.
Data quality assurance is the workflow that keeps the database usable after the first export. CIENCE gathers, validates, and refreshes records as signals change.
Step 01
Gather business information from trusted sources and apply technology checks for data integrity.
Step 02
AI and machine learning process and validate records in real time.
Step 03
Records are monitored and updated when changes are detected to keep data fresh.
Privacy controls
CIENCE states that its data practices comply with major data protection regulations and use safeguards such as encryption, access controls, and audits to protect data assets.
Book a meetingSales and marketing teams use the data to reach decision makers, personalize outreach, spot market opportunities, and understand customer needs more clearly.
Use 01
Get direct access to buyers who are likely to benefit from your products or services.
Use 02
Use data insights to make sales messages more relevant and specific.
Use 03
Use market insight and competitive analysis to find emerging opportunities.
Use 04
Develop a clearer view of customer needs, preferences, and sales context.
Related
Precision audience targeting for multi-channel campaigns.
Related
Hyperlocal business and contact data for regional outreach.
Related
Bespoke research combining AI and human expertise.
Related
Trained SDRs that book qualified B2B meetings for you.
Pricing models vary enough that a single figure would mislead. Providers charge per credit, per record, per seat, or by annual platform licence, and the same contact costs very different amounts depending which model you are on. The comparison worth making is cost per usable record rather than cost per record, because a database with a high match rate and a low bounce rate at a higher headline price is usually cheaper in practice. Ask any provider what share of records they verify, how often, and what happens to your credits when a record turns out to be wrong.
There is no single answer, and a provider claiming otherwise is describing their own coverage rather than yours. Databases are strong in different segments: one may be excellent on North American software and thin on European manufacturing, and the aggregate record count tells you nothing about either. Test against reality instead. Take fifty accounts you know well, run them through each provider, and compare what share of expected contacts appear, what share of emails survive verification, and how many direct dials reach the person named.
There are free tiers, and they are useful for testing a provider rather than running a campaign on. Free tiers typically cap credits, restrict filters, and expose the least recently verified slice of the database, which is the part most likely to bounce. Using one to check match rates against accounts you already know is sensible diligence. Using one to build a sending list is how new domains get damaged before they have sent anything worth sending.
In the United States CAN-SPAM permits unsolicited commercial email provided the sender identifies itself honestly, uses accurate headers and subject lines, offers a working opt-out and includes a physical postal address. It is a compliance regime rather than a prohibition. Other jurisdictions are stricter: GDPR requires a lawful basis for processing in the EU, Canada's CASL generally requires consent, and several go further. This describes how the rules are commonly framed and is not legal advice; confirm your own markets with counsel.
Because the cost lands on the sending domain rather than on the list. Unverified contacts produce bounces, and bounce rate is one of the signals receiving providers use to decide whether mail from a domain reaches an inbox at all. That damage accumulates against the domain and the address the mail left from, so one bad campaign can degrade sending that took weeks of warmup to establish. Verification before sending is not a quality nicety, it is what protects the asset the campaign runs on.
It depends so heavily on deal size that the number alone is not decision-useful. A $2,000 cost per lead is cheap against a six-figure contract and ruinous against a $5,000 one. The ratio worth tracking is cost per lead against average contract value, and then cost per meeting your reps accepted, since a low cost per lead usually means a low bar for what counted as one. Any benchmark quoted without the deal size attached is describing somebody else's business.
Talk with CIENCE about sales data that helps your team identify the right accounts, reach decision makers, and run more precise outbound campaigns.
Month-to-month. No long-term contracts. Cancel anytime.
We would love to talk to you about improving your pipeline. Enter your work email and pick a time for a 30 minute call with a CIENCE account executive. As a thank you, get unlimited B2B contact, company, website visitor and intent data for a year, no strings attached.
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