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.