CRED's Data by Use Case

Last updated: April 22, 2026

CRED Data — What We Cover, By Use Case

This is the master index for CRED's data capabilities. Each use case below links to its own article with industry-specific coverage, accuracy, signals, and data strength. Use this page to find the right article to share with a prospect or client; use the linked articles for the detail.

How to read the ratings

Every field in every use-case article is rated on a simple scale:

Rating	What it means
Strong	Dense data, fresh, large coverage, validated on real customers.
Solid	Good coverage for most common requests, some gaps at the edges.
Partial	Core fields present, sparse or inconsistent beyond that.
Thin	A few fields exist, not systematically filled.
None	We do not have this data.

CARES — how we measure data quality

Every field in CRED carries a CARES metric:

C — Coverage	% of records with a value for this field.
A — Accuracy	% of values that check out against ground truth.
R — Recency	How fresh the value is (daily, weekly, event-driven, etc.).
E — Error	Known error patterns (bounce rate, misclassification rate, etc.).
S — Source	Which of our five buckets answered: CRED data, public data, data science models, data partnerships, or waterfall.

Where our data comes from

Bucket	What it is
CRED data	Our proprietary entity graph, category taxonomies, deal graph, and embedded-client benchmarks — what competitors can't reproduce.
Public data	Filings, disclosures, press, registries, public profile feeds, public reviews, app-store metadata — the defensible auditable layer.
Data science models	CRED-built scores and classifiers (ICP fit, sponsorship likelihood, audience fit, intent score, financial health, sentiment, and more).
Data partnerships	Licensed third-party feeds for firmographics, contacts, technographics, funding, signals, ads, financials, and review / social.
Waterfall	The orchestrator: for any field, it tries sources in priority order and returns the best available answer with a source tag.

Geographic strength at a glance

Strong / Solid / Partial / Thin by region. Use this to set expectations when a deal has a specific geographic ICP. Each use-case article also notes regional variance where it matters.

Data category	North America	UK & Ireland	Western Europe	South & East Europe	APAC developed	APAC emerging	LATAM	MENA	Sub-Saharan Africa
Firmographics	Strong	Strong	Strong	Solid	Solid	Partial	Partial	Partial	Thin
Public-company financials	Strong	Strong	Strong	Solid	Solid	Partial	Partial	Thin	Thin
People profiles	Strong	Strong	Strong	Solid	Solid	Partial	Partial	Partial	Thin
Work emails	Strong	Strong	Solid	Solid	Solid	Partial	Partial	Partial	Thin
Direct dials & mobiles	Solid	Solid	Partial	Partial	Partial	Thin	Thin	Thin	Thin
Tech stack	Strong	Strong	Solid	Partial	Solid	Partial	Partial	Partial	Thin
Hiring signals & job postings	Strong	Strong	Strong	Solid	Solid	Partial	Partial	Partial	Thin
Funding & M&A	Strong	Strong	Strong	Solid	Solid	Solid	Partial	Partial	Thin
News & brand monitoring	Strong	Strong	Strong	Solid	Solid	Partial	Solid	Partial	Partial
Social & audience	Strong	Strong	Strong	Solid	Solid	Partial	Solid	Partial	Partial
Sports & sponsorship	Strong	Strong	Strong	Strong	Solid	Solid	Solid	Partial	Thin
Ad spend	Strong	Strong	Solid	Solid	Solid	Partial	Partial	Partial	Thin
Reviews	Strong	Strong	Solid	Partial	Solid	Partial	Partial	Thin	Thin

Use cases — what CRED can answer for you

20 use cases, each with its own full article covering industry-specific coverage, accuracy, signals and gaps. Click any title to open its article.

Use case	What it answers	Strongest industries
Ticketing & Hospitality Intelligence	Is this club or venue's ticketing revenue healthy, and where's the upside?	Sports & Sponsorship
Sponsorship ROI & Brand Activation	Am I getting value from my sponsorship portfolio, and what are comparable brands doing?	Sports, Consumer Brands, Media Rights
Sponsorship Whitespace Modelling	How much sponsorship revenue is a property leaving on the table, and in which categories?	Sports, Consumer Brands
Media Rights & Valuation Comparables	What's a fair media-rights valuation, and what are the right comps?	Media Rights, M&A Advisory
Talent & Athlete Scouting	Who are the right athletes, coaches or agents for this activation or campaign?	Talent, Consumer Brands, Sports
Audience & Consumer Intelligence	Who is the audience, and how does it overlap with mine?	Consumer Brands, Sports, Media Rights
Financial Analysis & Valuation	Is this company, club or league financially healthy, and how does it compare?	M&A Advisory, Media Rights, Sports, Tech
Commercial Operations Benchmarking	How does my commercial operation compare on mix, portfolio and concentration?	Sports, Media Rights, Consumer Brands
Prospecting & ICP Fit	Who should I be selling to right now?	Technology / SaaS, Consumer Brands, Professional Services
TAM & Market Sizing	How big is the addressable market I'm going after?	Technology / SaaS, Consumer Brands
Hiring & Org-Change Alerts	Where are the buying moments in my accounts right now?	Tech, Consumer Brands, Professional Services
Funding & M&A Alerts	Who just raised, sold, listed, or is likely to?	Tech, M&A Advisory, Financial Services, Media
Technographic Targeting	Which prospects run [technology], and when did they install it?	Technology / SaaS
Competitive & Brand Monitoring	What is being said about my brand, a competitor, or a property?	Consumer Brands, Sports, Media, Tech
Web Intent & Engagement	Who is showing buying intent, and where?	Technology / SaaS, Consumer Brands
Industry & Region Benchmarking	How does my target industry or region stack up?	Sports, Media, M&A Advisory
Contact Enrichment (Waterfall)	Get working contact details for the right person at the right account.	All B2B industries
CRM Hygiene & Sync	Keep my CRM clean, deduped, enriched, and in sync.	All B2B industries
Outreach & Multi-Channel Sequencing	Run a sequenced outbound play across email, LinkedIn, phone / SMS and tasks.	All B2B industries
Custom Scoring (ICP, Churn, Upsell)	Score accounts or contacts on any custom dimension with weighted inputs.	All B2B industries

What we don't have (honest gaps)

No individual fan or consumer identity — we operate on entities and aggregates
No point-of-sale transaction data — ticketing, retail, F&B (we infer from public + embedded-network benchmarks)
No clinical or regulatory data — trials, NPI-level HCP, payer / formulary
No property-level real estate — permits, leases, transaction comps
No SKU-level retail — shelf, sell-through, shopper identity
No classified or line-item government contracts
No LP-level fund flow data
No private contract text — disclosed deal terms only
Limited non-English social signal in APAC emerging, LATAM non-English, MENA
No audited broadcaster-internal rights contracts

Want a tailored review of coverage against your specific list, ICP, or region? Contact your CRED account team — they can pull live CARES numbers for any field or segment.