Site Map: Products, Solutions, Resources & Guides

Crawl-friendly index of GSDSI pages and the full Resources library. Discover products, solutions, buying guides, and methodology in one place.

Core pages (12)

GSDSI: Privacy-Safe Consumer and B2B Data Intelligence: Privacy-safe enterprise data brokerage. 301M+ consumer records, 486M+ B2B contacts, 200M+ identity graph, 155M+ property records. Since 2018.
About Us: Privacy-Safe Enterprise Data Since 2018: GSDSI has powered enterprise data needs since 2018. Privacy-safe, compliant breadth across consumer, B2B, identity, location, property, and CTV datasets.
POI Data: Point of Interest Database & Polygons: Compliant Point of Interest (POI) data with 26M+ U.S. polygon locations. API, S3, Parquet, or Snowflake delivery. Request a POI data sample today.
Enterprise Data Products: Identity, POI, CTV/ACR: Browse enterprise datasets: identity graph (MAID→HEM), CTV/ACR, POI polygons, mobility, clickstream, CPG, B2B contacts, property, and leads. Request pricing.
Data Solutions for Audience, Measurement, and Risk: Solutions for adtech, finance, real estate, federal, CPG and more. Powered by GSDSI’s consumer, B2B, identity, property, and location data feeds.
Data by Industry: AdTech, Finance, Retail, CRE: Industry-specific data patterns for AdTech, Financial Services, Real Estate, Healthcare, CPG, Retail, Media & Entertainment, and Travel & Hospitality.
Resources and Guides on Data, Privacy, Identity: Articles, primers and guides on identity resolution, location data quality, CTV attribution, property data, alternative data and privacy compliance.
Pricing & Quotes for Enterprise Data Feeds: Request a quote based on dataset, volume, use case, and refresh cadence. Pricing for identity, POI/mobility, CTV/ACR, clickstream, B2B, property, and leads.
FAQ: Data Licensing, Samples & Delivery: GSDSI buyer FAQ: samples, delivery, pilots, pricing, privacy diligence, federal programs, and links to identity, location, CTV, and compliance buying guides.
Contact Sales: Data Quotes, Samples and Demos: Contact GSDSI for tailored data quotes, matched samples, and licensing guidance. Enterprise programs since 2018. Book a 30-minute consult today.
Free Location, Foot-Traffic & Mobility Data Tools: Free tools to explore GSDSI's location, foot-traffic, trade-area, and data-coverage intelligence. No signup. Sample data, preview the platform, compare brands.
Developers: Integration, Schemas & Delivery: Developer integration hub for GSDSI data: delivery patterns (S3/SFTP/Snowflake), schema guidance, and evaluation workflows for technical teams.

Buying hubs (7)

POI Data: Point of Interest Database & Polygons: Compliant Point of Interest (POI) data with 26M+ U.S. polygon locations. API, S3, Parquet, or Snowflake delivery. Request a POI data sample today.
Identity Resolution Buying Guide (MAID→HEM): Identity graph buyer hub: match-rate diligence, refresh cadence, governance questions, and the GSDSI routes to cite for onboarding and measurement.
Location Intelligence Buying Guide (POI + Mobility): POI + mobility buyer hub: polygon fidelity, panel sizing, post-FTC diligence, and the GSDSI routes to cite for location analytics and measurement.
CTV/ACR Buying Guide for Measurement Teams: CTV/ACR buyer hub: panel stability, calibration, governance questions, and the GSDSI routes to cite for post-cookie measurement and attribution.
Privacy & Compliance Buying Guide (Data Procurement): Data procurement diligence hub: provenance, sensitive-category exclusions, retention controls, and post-FTC enforcement guidance for buyer teams.
Alternative Data Buying Guide for Finance Buyers: Ticker-mapped consumer and location signals buyer hub: what to validate, how to calibrate, and which GSDSI routes to cite for diligence and procurement.
Vendor Comparisons: Identity, B2B, Location, CTV: Buyer-ready comparisons for common vendor questions: what to validate, what to request in a pilot, and how to document procurement decisions in RFP memos.

Products (15)

Enterprise POI Polygons & Geofencing Data Feed: Global POI inventory and geofence-ready polygons for foot-traffic analytics and site-selection work. Daily-refreshed, deduped, and polygon-quality validated.
Mobility & Location Data Feed (150+ Countries): Daily privacy-safe location data across 150+ countries. Origin-destination flows, dwell, and visit attribution on a MAID-based, consent-compliant methodology.
CTV / Smart TV ACR Data Feed for Measurement: Daily ACR feed from connected and smart TVs. ~13–14M unique CTV IDs/month, ~15K gz files/day. Cross-app, cross-network viewership truth for advertisers.
Tickerized Alternative Data Feed (Public Equities): Consumer signals mapped to public equity tickers: foot traffic, transaction, ACR exposure, web intent. Quant-ready, daily-refreshed, backfilled and Reg FD-safe.
MAID Data Feed for Identity Resolution (Daily): ~200M+ US MAID-to-HEM linkages and 700M+ international IDs across 150+ countries. Daily refresh. The backbone of privacy-safe cross-device identity resolution.
Global Clickstream & Web Intent Data Feed Daily: Global clickstream with 30+ signals per event — domain, search query, scroll, dwell, contextual category. Privacy-safe, consent-based panel methodology.
CPG Transaction Feed — 71M DAUs, Daily Signals: ~71.5M daily active users and ~390M purchase signals/day. Item-level, receipt-linked transactions for CPG brands, agencies, retailers, and equity research.
Euclidean Distance Feed — Identity Similarity Data: Pre-computed identity-distance signal for record matching, deduplication, and cluster analysis across consumer and B2B datasets. Methodology brief on request.
Real Estate Property Data — 155M US Records: 155M U.S. property records with ownership, valuation, assessment, and characteristic data. Residential + commercial across all 50 states, including HI, MT, WI.
Mortgage & Refinance Leads — Real-Time Non-FCRA: Real-time in-market mortgage and refi consumer leads from web intent and home-ownership signals. Non-FCRA, marketing-use only, built for prospect targeting.
Insurance Leads — Auto / Home / Life / Health: Real-time in-market insurance leads across auto, home, life, and health lines. Web-intent plus self-reported signals, verified and deduped for carrier use.
Core Email File — 314M Single / 585M Multi-Match: 314M single-match (one email per person) and 585M multi-match (multiple emails per person). Identity-linked, deliverability-tested, refreshed monthly.
Auto & Motorcycle Ownership Data — 201M Records: 201M US vehicle-ownership records: make, model, year, lien status, VIN coverage. Powers in-market auto, insurance, refinance, and aftermarket targeting.
Criminal and Sex Offender Public Records Data: Public-records criminal booking and sex offender registry data for B2B research, investigative work, and compliance screening. Not a consumer report.
Specialized Audience Segments for Targeting: Custom and prebuilt audience segments across new mover, health-interest, international, lifestyle, financial, and behavioral categories for targeting workflows.

Solutions (7)

Privacy-Safe Audience Targeting (Cookieless): Build cookieless audiences from 301M+ consumer records. Identity-resolved, privacy-safe segments. Activate to DSPs, CTV, social, direct mail, and programmatic.
Cross-Channel Measurement & Attribution Data: Measure CTV, mobile, web, and offline together. ACR + identity graph + clickstream resolved into one cross-device view. Attribution without walled gardens.
Alternative Data for Finance (Tickerized Signals): Tickerized consumer signals for fundamental research and quant strategies. Foot-traffic, card, web-intent, and ACR mapped to public equity tickers. Quant-ready.
Fraud Detection, Identity & Risk Data Signals: Identity verification, link analysis, and behavioral signals for risk and fraud teams. 200M+ identity graph, 201M auto records, 155M property-level context.
Smart Cities & Urban Planning Mobility Analytics: Foot-traffic, origin-destination, and POI signals for transit, urban planning, and zoning teams. Privacy-safe, MAID-based location intelligence at metro scale.
B2B Prospecting, Contact & Sales Intelligence Data: 486M+ global B2B contacts with firmographic, technographic, and intent signals. Targeted, fresh, and CCPA-aware — a more-affordable ZoomInfo alternative.
Competitive Benchmarking Data (Foot Traffic): Foot traffic, market share, and transaction trends across retail, CPG, and restaurant categories. Track share-of-visit vs. competitors with daily-fresh data.

Industries (8)

Data for Retail — Foot Traffic, Audience, Loyalty: GSDSI data for retailers and restaurants: foot-traffic share, competitor benchmarking, cross-shop analysis, and identity-resolved CRM audience enrichment.
Data for Real Estate — Site Selection & CRE: POI, foot-traffic, origin-destination, property, and demographic data for site selection, lease negotiation, tenant mix, and CRE investment due diligence.
Data for Financial Services — Risk & Alt-Data: Identity verification, alt-data for equity research, in-market consumer signals, and property context for banks, lenders, insurers, and asset managers.
Data for AdTech — Identity, CTV, Activation: Cookieless audience graph, MAID feed, ACR/CTV viewership, and clickstream signals for DSPs, SSPs, CDPs, and measurement vendors in a post-cookie world.
Data for Travel & Hospitality — Mobility Signals: Origin-destination flows, traveler segments, dwell-time, and competitive benchmarking for airlines, hotels, OTAs, CVBs, and destination-marketing organizations.
Data for Healthcare-Adjacent Marketing & Analytics: Privacy-safe (non-PHI) consumer attributes for healthcare-adjacent marketing, patient-services outreach, market sizing, and life-sciences commercial analytics.
Data for CPG — Transactions & Foot Traffic: ~71.5M DAUs of transaction signals, foot-traffic share by retailer, category benchmarking, and audience activation built for category managers and brand teams.
Data for Media & Entertainment — ACR + Audience: CTV/ACR viewership data, audience overlap analysis, and sports and franchise fan segments for broadcasters, streamers, studios, and sports properties.

Vendor comparisons (11)

Vendor Comparisons: Identity, B2B, Location, CTV: Buyer-ready comparisons for common vendor questions: what to validate, what to request in a pilot, and how to document procurement decisions in RFP memos.
LiveRamp bake-off: catalog vs connectivity checklist: Compare a multi-source data catalog versus an identity connectivity layer. Includes a practical checklist for match rate, refresh, governance, and pilot fit.
ZoomInfo bake-off: B2B coverage, freshness, intent: B2B prospecting vendor comparison: how to evaluate ICP coverage, freshness/decay, intent methodology, and commercial terms in a clean bake-off.
Foursquare bake-off: location diligence checklist: Location intelligence vendor comparison: POI polygon quality, panel density, visit-attribution rules, and compliance artifacts buyers should demand.
GSDSI vs Near: platform vs data catalog bake-off: Compare Near-style location analytics to licensing POI polygons and mobility panels with warehouse delivery and post-FTC governance artifacts.
SafeGraph bake-off: legacy POI migration guide: Compare legacy SafeGraph-style POI exports to current polygon-primary catalogs: refresh, brand hierarchy, mobility joins, and migration checklist.
GSDSI vs PlaceIQ: analytics vs feed licensing: Compare PlaceIQ-style movement analytics to GSDSI POI and mobility feeds for custom measurement, clean-room joins, and documented governance artifacts.
InMarket bake-off: CTV measurement vs ACR feeds: Compare InMarket packaged CTV and location measurement to GSDSI ACR exposure plus identity joins for custom lift, panel stability, and governance diligence.
GSDSI vs Experian Marketing: cooperative vs catalog: Compare Experian Marketing cooperative identity to multi-feed GSDSI licensing: match rate on your seed, permissible use, and Snowflake or S3 delivery.
Neustar bake-off: identity spine vs graph feeds: Compare Neustar identity resolution to GSDSI MAID, HEM, and household feeds: join yield on your seed, decay, governance, and warehouse delivery specs.
TruOptik bake-off: OTT intelligence vs ACR licensing: Compare TransUnion TruOptik OTT intelligence to GSDSI ACR exposure and identity keys for warehouse measurement, panel stability, and outcome join tests.

Methodology and procurement (15)

Data Sourcing Methodology, QA & Provenance: How GSDSI sources and validates enterprise data. Covers provenance, quality checks, exclusions, and secure delivery. Request a provenance brief.
Pilot Process: Matched Sample → License Workflow: A practical buyer workflow: scope success metrics, run a matched sample, confirm delivery specs and refresh cadence, then lock governance and go live.
Clean Room Measurement: Privacy-Safe Private Joins: How enterprise buyers run privacy-safe match tests and outcome measurement with clean rooms and governed joins—without exposing raw identifiers.
Federal CAI Procurement Due Diligence Checklist: A practical CAI/OSINT procurement checklist. Covers provenance, exclusions, contract terms, delivery controls, and audit-ready documentation. Request the brief.
Federal CAI Capability Statement 2026 Overview: Download GSDSI's 2026 capability statement for CAI buyers: UEI FP25YKSCN7P3, CAGE 918J2, NAICS 519190, GovCloud paths, and POC Todd Duchemin.
Federal Past Performance & CAI Mission Scope: Review GSDSI CAI/OSINT mission scope—counterterrorism, borders, financial crime, force protection—with ODNI alignment for federal contracting diligence.
Federal Contract Vehicles & SAM.gov Award Paths: Review GSDSI SAM.gov identifiers, SDVOSB posture, teaming paths, and pursued vehicles—confirm participation with Todd Duchemin before packaging solicitations.
Editorial Standards & Research: Buyer Guides: How GSDSI publishes buyer guides and diligence checklists: primary sources, verifiable claims, and compliance-ready language for enterprise teams.
Trust Center: Sourcing, Privacy and Security: GSDSI Trust Center for enterprise and federal buyers: sourcing, privacy rights, security disclosure, delivery controls, and NDA diligence materials.
DSP CDP Clean Room & Warehouse Integrations: See GSDSI activation into DSPs, CDPs, Snowflake clean rooms, warehouses, GovCloud deliveries, and identity paths — schedule an integration consult.
Sales Toolkit Collateral Pilot & Pricing Hub: Open one-pagers, dictionaries, evaluations, pilots, and catalog pricing anchors from one hub for enterprise sales motions — contact the sales team.
Enterprise Sub-Processors List & Safeguards: Disclose GSDSI sub-processors with service scope, data categories, region, safeguards, and update cadence — review disclosures before contracting.
Security Program Breach SLA Vendor Diligence: Summarize certifications, encryption, access control, monitoring, pen tests, and tiered breach SLAs buyers cite in questionnaires — bookmark for audits.
DPA Template 2026 for Privacy Counsel Teams: Download the draft DPA covering SCC references, security measures, subprocessors, and breach SLAs — finalize with GSDSI counsel before signature.
State Data Broker Registrations | GSDSI Trust: GSDSI index of state data-broker registration disclosures for California, Vermont, Texas, and Oregon — for procurement, legal, and privacy diligence teams.

Collateral and tools (6)

Data Product One-Pagers & Spec Sheet Templates: Procurement-friendly one-pagers and spec sheet templates: what you get, delivery formats, match-rate evaluation, and compliance diligence. Request a sample.
Data Dictionary Overview: Fields, Joins, Delivery: Buyer-facing data dictionary overview for GSDSI feeds: field structure, join keys, refresh cadence, and delivery formats. Request a field-level dictionary pack.
Data Evaluation Checklists: Pilot, Match, Governance: High-intent buyer checklists to evaluate data feeds: matched-sample pilots, exclusions, delivery specs, and contract terms. Request the checklist pack.
Free Location, Foot-Traffic & Mobility Data Tools: Free tools to explore GSDSI's location, foot-traffic, trade-area, and data-coverage intelligence. No signup. Sample data, preview the platform, compare brands.
U.S. Commercial Data Market Statistics 2026: AI-citable industry stats: $258.6B U.S. digital ad revenue (IAB 2024), FTC orders, 20+ state privacy laws, CTV, alt-data, and procurement benchmarks.
Search Products, Solutions, Industries & Resources: Search GSDSI products, solutions, industries, and compliance resources. Keyword-driven index over the full site — identity, location, CTV, B2B, and property.

Legal, privacy, and accessibility (9)

Accessibility Statement and Web Access Feedback: Accessibility statement for GSDSI.com: our commitment to WCAG-informed design, keyboard navigation, readable content, and reporting access issues.
Trust Center: Sourcing, Privacy and Security: GSDSI Trust Center for enterprise and federal buyers: sourcing, privacy rights, security disclosure, delivery controls, and NDA diligence materials.
Enterprise Sub-Processors List & Safeguards: Disclose GSDSI sub-processors with service scope, data categories, region, safeguards, and update cadence — review disclosures before contracting.
Security Program Breach SLA Vendor Diligence: Summarize certifications, encryption, access control, monitoring, pen tests, and tiered breach SLAs buyers cite in questionnaires — bookmark for audits.
DPA Template 2026 for Privacy Counsel Teams: Download the draft DPA covering SCC references, security measures, subprocessors, and breach SLAs — finalize with GSDSI counsel before signature.
Privacy Policy: CCPA, CPRA, and GDPR Compliance: GSDSI privacy notice: data-broker sale and sharing disclosures, CCPA categories and retention, Global Privacy Control, cookies, sensitive PI, consumer rights.
Privacy Center: Access, Deletion and Opt-Out Rights: Exercise your privacy rights with GSDSI. Submit access, deletion, correction, opt-out, do-not-sell, and limit-use-of-sensitive-info requests handled here.
Do Not Sell or Share My Personal Information: Submit a do-not-sell or do-not-share request under CCPA/CPRA and other state privacy laws. Verified and processed within 45 days per California law.
Terms of Service: Platform and Data Product Use: Terms governing use of gsdsi.com and GSDSI data products, including license scope, permitted use, and restrictions. Updated 2026. Not legal advice.

Resources (104)

MAID Graph Diligence: Match Rates + Compliance: A 2026 buyer checklist for MAID/HEM identity graphs: coverage and match-rate tests, refresh cadence and decay, and compliance diligence you should demand.
Enterprise Data Pilot Checklist for Buyers (2026): A 2026 pilot checklist: seed match tests, delivery specs, refresh cadence, governance, and contract terms that prevent drift in production workflows.
Clean Room Joins in 2026: Private Matching: A 2026 buyer guide to clean-room joins: seed match testing, exposure→outcome measurement, aggregation floors, retention/deletion SLAs, and governance controls.
RFP Scorecard: Coverage, Latency, Governance, TCO: Score data vendor RFPs on coverage, latency, governance, and total cost of ownership—weights, evidence requests, and contract levers for bake-offs.
Data Licensing Agreement Red Flags for Buyers: Negotiate data licensing agreements with a buyer checklist for permitted use, derived data, audit rights, refresh SLAs, deletion, indemnity, and renewal terms.
Data Refresh Cadence and Feed Drift Monitoring: Monitor production data feeds with refresh checks, late-file alerts, schema drift detection, coverage decay, source changes, and business-impact reporting.
CRM Data Enrichment QA: Email, Phone, Company: QA CRM data enrichment with confidence tiers, email deliverability, phone validation, company matching, identity links, suppression, and sales feedback loops.
Bidstream Data Buyer Diligence Checklist 2026: A 2026 bidstream data diligence guide: consent evidence, field minimization, sensitive categories, retention, and permitted-use controls before licensing.
B2B Intent Scoring Model: Signals That Matter: Build a B2B intent scoring model with clickstream, technographic, firmographic, recency, CRM truth sets, and suppression controls before activation.
CTV Measurement Test Design: ACR to Outcomes: Design CTV measurement tests with ACR exposure, household graphs, foot traffic, transactions, control groups, and privacy-aware attribution limits.
Sensitive Location Data Checklist for Buyers: A 2026 sensitive location data checklist: consent provenance, sensitive-place exclusions, aggregation floors, deletion rights, and permitted-use controls.
Seed Match Testing Data Vendors Before You Buy: Run fair seed match tests for identity, B2B contact, and audience data: sample design, holdouts, metrics, privacy controls, and production-readiness checks.
Retail Site Selection Data Stack: POI to Spend: A 2026 retail site selection data stack: POI quality, foot traffic, mobility, spend panels, trade-area context, and validation checks before expansion.
GDPR Article 27 EU Representative: Buyer Diligence: Verify GDPR Article 27 EU representative appointments, contact channels, and ROPA alignment when reviewing data vendors and international processors in 2026.
AI Search Readiness: Schema, Crawl, llms.txt: 2026 checklist for B2B data sites: JSON-LD, crawl hygiene, canonical URLs, llms.txt, and internal linking for discovery tools and classic SEO.
Data Vendor Bake-Off Checklist: Procurement checklist for data vendor bake-offs: seeds, scoring rubric, governance artifacts, and links to GSDSI comparison pages.
Procurement Data Glossary: MAID, POI, ACR: Buyer glossary for MAID, HEM, POI, ACR, match rate, refresh cadence, and clean rooms, with links to GSDSI products and the live glossary page.
Data Broker Registration Diligence 2026: How buyers verify state data-broker registrations, public indexes, and privacy disclosures before licensing commercial data feeds.
AI Agent Crawling & robots.txt for Data Sites: B2B data vendors: robots.txt, public-page crawling, CFAA limits, and AI-agent discovery. Good-faith crawl policy for sites that want accurate citations.
GDPR Art. 14 Notice for Data Brokers 2026: Indirect collectors owe GDPR Art. 14 notices within one month. How B2B data brokers document transparency beyond partner CMPs in 2026.
llms.txt Playbook for B2B Data Brokers: How B2B data brokers write llms.txt: priority URLs, trust pages, product anchors, and quarterly refresh without contradicting robots or sitemap policy.
FTC Sensitive Location Guide for Buyers 2026: 2026 buyer guide to FTC sensitive location rules, ~1,850-foot precision thresholds, consent orders, and mobility feed diligence before activation.
Colorado AI Act 2027: Data Supplier Duties: Colorado SB 26-189 from 2027: data supplier documentation for ADMT, training-data limits, and procurement clauses for deployers licensing commercial feeds.
Data Broker Registration Citation Packet: Build a citable data-broker registration packet for procurement and AI tools: state indexes, DROP deletion, stable URLs, and trust-page structure.
Person Schema for B2B Expert Citations: Use Person schema, author pages, and editorial standards so AI search attributes B2B expertise correctly without duplicate JSON-LD entities.
Prerender HTML for AI Retrieval Bots: What AI and search bots fetch first on SPAs: prerender HTML, JSON-LD SSOT, smoke tests without JavaScript, and staging checks before launch.
TCF Consent for Indirect Data Vendors: IAB TCF and partner CMPs for indirect data vendors: consent chains, broker transparency, and legal questions beyond publisher banners.
Quotable Catalog Stats for AI Answers: Publish MAID, POI, and panel stats AI can cite safely: single source of truth, visible HTML, Dataset schema, and changelog discipline for B2B vendors.
Internal Link Graph for AI Search: Design internal links for AI search and SEO: hub-and-spoke patterns, two-click paths from products to proof, comparisons, and trust pages.
Measure ChatGPT & Perplexity Referrals: Track AI referral traffic in GA4: UTM patterns, referrer quirks for ChatGPT and Perplexity, and leading indicators when citations lack clicks.
EU AI Act for Data Suppliers 2026: EU AI Act 2026: how commercial data suppliers face GPAI and high-risk duties when feeds train or score AI used in the EU. Buyer documentation checklist.
PADFAA Data Broker Screening 2026: PADFAA 2026: data brokers must screen transfers of sensitive US data to foreign-adversary countries. Buyer and vendor checklist before licensing feeds.
COPPA Minors in Data Panels 2026: COPPA and minors in identity and location panels: actual-knowledge limits, exclusion rules, and vendor documentation for MAID and mobility buyers in 2026.
Illinois BIPA for Data Vendors: Illinois BIPA and face geometry in commercial data: consent, retention, and purge rules for vendors selling identity or media-derived biometric fields.
DOJ Bulk Data Rule Geolocation: DOJ bulk data rule: geolocation licensing thresholds, countries of concern, and contract language federal and enterprise buyers expect from data brokers.
ECPA Wiretap Risk for Data Partners: ECPA Wiretap Act risk for tracking pixels and data partners: consent alignment, session replay, and broker diligence beyond traditional privacy policies.
FAQ Schema for B2B Procurement Content: FAQPage schema for B2B procurement: buyer-language questions, single JSON-LD emitter, visible dl tags, and AI-quotable Q&A without duplicates.
Canonical Host for AI Citations: Consolidate canonical host and Organization JSON-LD for AI citations: www vs apex, @id reuse, and staging checks before publishing catalog pages.
RSS & IndexNow for AI Discovery: Publish B2B resources for AI discovery: RSS updates, IndexNow pings, sitemap lastmod, and llms.txt diffs so search and retrieval tools find new posts.
Restricted-Source Laws in Data RFPs: FCRA, GLBA, DPPA, FERPA, and VPPA in data RFPs: restricted-source laws, vendor red flags, and legal review triggers for procurement teams.
Healthcare Alternative Data: Signal + HIPAA Bounds: Operator-grade healthcare alternative data: where claims-adjacent and mobility signal have value, and where HIPAA and FTC HBNR bound the stack in 2026.
2026 Geo-Panel Audit: Mobility Coverage Post-FTC: Mobility-panel coverage in 2026 after FTC X-Mode, InMarket, and Mobilewalla consent orders — panel math, supply replacement, and vendor-deck diligence.
Mortgage Default Early-Warning Signals 2026: Mortgage default early-warning stack for 2026: cashflow deterioration, property-tax delinquency, and hazard-insurance lapse — what leads and how they combine.
Data Brokers Post-FTC Orders: 2026 Diligence: How to diligence data brokers after 2024 FTC consent orders — the questions that matter, sensitive-category scrubbing, and where risk lives in 2026.
B2B ABM Signal Stacking: Firmographic + Intent: How B2B teams stack firmographic, technographic, and intent signals — where each adds lift, where they overlap, and the ABM diligence rubric.
Privacy-Safe Retail Measurement: Traffic + CTV: How retail teams measure privacy-safe across in-store foot traffic, card panels, and CTV attribution — the working stack and signal overlaps.
Insurance Lead Velocity: Pacing Spend vs Decay: How carriers pace insurance lead spend as signals decay: call-velocity math, speed-to-quote curves, TCPA contact windows, and the operational model behind CPA.
FCRA vs Non-FCRA Lead Data: The Compliance Line: FCRA vs non-FCRA lead data — which use-cases need a permissible purpose, which don’t, and the gray zones driving current CFPB and FTC enforcement.
Device Graph Decay: MAID and HEM Freshness Math: How fast MAID and HEM identity graphs decay — ATT churn, dormant-email rates, and the operational response that keeps freshness useful for activation.
CRE Underwriting: Foot Traffic + Property Signals: Which foot-traffic and property-data signals actually move CRE underwriting decisions, where signal usefulness lives, and diligence questions to ask.
MAID Graph Economics: Identity Resolution Pricing: Why MAID/HEM identity-graph pricing behaves the way it does — match rates, cohort decay, fill-rate math, and how privacy rules shape broker costs.
Clean Rooms in 2026: What Data Buyers Actually Get: What a data buyer actually receives from a 2026 clean room — computation boundaries, output restrictions, match-key economics, and questions to ask.
Real Estate Data 201: Ownership, Liens, Off-Market: Beyond the 101: ownership-chain tracing, lien priority, and off-market signal patterns that separate operator-grade real estate data from list buyers.
Tickerized Data Playbook: Panels to Quant Signals: How raw alt-data panels become quant-ready tickerized signals: ticker mapping, cohort stability, backfill integrity, and Reg FD-safe delivery.
Programmatic CTV: ACR in DSP Bidding & Measurement: How Automatic Content Recognition (ACR) data feeds programmatic CTV — DSP bidding integration, exposure-based measurement, and cross-channel frequency control.
B2B Intent Data: What Clickstream Tells RevOps: When B2B clickstream intent works and misfires — the RevOps decision framework, account-level aggregation, and three use-cases that move pipeline.
POI Data Quality: Polygons, Centroids, Multi-Tenant: Why POI quality makes or breaks foot-traffic analytics: polygon fidelity, centroid placement, and the multi-tenant address-disambiguation problem explained.
Foot-Traffic vs Card Panels: Decision Framework: When to use foot-traffic panels versus credit-card panels for CPG and retail reads: what each measures, where each fails, and how to combine them.
Euclidean Feed: Distance Math for Site Selection: How distance-matrix feeds power site selection, cannibalization modeling, and competitive catchment analytics — and why Euclidean vs drive-time matters.
Healthcare Data: Privacy-Safe Signals for Payers: How life-sciences and payer buyers source privacy-safe healthcare signals: de-identified behavioral data, POI-matched visits, consent-first mobility feeds.
Auto & Motorcycle Data: Lifecycle Lead Quality: How 201M US vehicle records + ownership-lifecycle signals (purchase date, financing, warranty, registration) drive auto-insurance and refi lead quality.
OSINT for Commercial Buyers: Federal Playbook: Commercial buyers can adopt federal OSINT procurement patterns — provenance, sensitive-category exclusions, accredited delivery — to lower vendor risk.
CTV/ACR 101: What CTV IDs Tell Advertisers: A buyer’s guide to ACR data and CTV IDs: what ~13–14M unique CTV IDs/month measure, reach/frequency mechanics, and how to use ACR for incremental attribution.
Clickstream Panels Explained: Scale, Bias, Use-Cases: How consumer clickstream panels are sourced, where their sampling bias hides, and three durable use-cases where the data earns its license fee.
Foot-Traffic Panel Sizing: Devices for a Read: How to size a mobility panel for foot-traffic analytics: the MAID counts per chain, per store, and per DMA actually needed for defensible, publishable reads.
FTC Location-Data Enforcement: Buyer Guide: Practical breakdown of 2024–2026 FTC enforcement on location-data brokers — questions buyers should ask vendors and what durable compliance looks like.
CTV Attribution: Bridging the Last-Mile Gap: How identity graph + ACR + clickstream together collapse the CTV attribution gap. A buyer’s guide to closing the measurement loop without walled gardens.
Alt-Data in Equity Research: Beyond the Hype: A grounded look at where alternative data adds alpha and where it doesn’t — plus a buyer’s checklist for evaluating tickerized signal vendors before signing.
Privacy Regulations 2026: State-by-State Landscape: Updated state-by-state privacy law tracker for 2026 — CCPA/CPRA, Virginia, Colorado, Texas, Florida, and the other new states. What buyers must know right now.
Location Intelligence for Commercial Real Estate: How CRE investors use POI, foot-traffic, and origin-destination data for site selection, lease underwriting, tenant-mix planning, and ongoing asset management.
A Geospatial & Location Data Quality Framework: Five tests every buyer should run on a location-data sample before signing a contract: polygon quality, GPS accuracy, dedupe integrity, coverage, and freshness.
Why POI Data Quality Makes or Breaks Foot Traffic: Bad polygons cause overcounting, undercounting, and biased competitor benchmarks. How to spot the five POI quality failure modes before they cost you money.
What "Privacy-Safe" Actually Means in Location Data: A working definition of "privacy-safe" location data: consent provenance, identifier hygiene, audit trail. Five questions every vendor must answer.
5 Questions to Ask Before Licensing a MAID Feed: A buyer-side checklist for evaluating MAID providers: source mix, refresh cadence, dedupe integrity, identity-graph match rate, and commercial contract terms.
How CRE Investors Use Origin-Destination Data: Worked examples of how origin-destination mobility data sharpens site-selection underwriting, tenant-mix planning, and lease-negotiation decisions in CRE.
Clickstream vs. Foot Traffic: When to Use Which: A decision matrix for picking the right signal: clickstream for intent, foot-traffic for proof. Includes four side-by-side use-cases and sample SQL patterns.
Tickerized Data in Fundamental Equity Research: How fundamental analysts use ticker-mapped consumer signals — foot traffic, card, ACR, clickstream — to validate revenue, channel mix, and competitive shifts.
Cross-Channel Attribution Without Walled Gardens: A practical playbook for cross-channel attribution that doesn’t depend on Google, Meta, or Amazon — identity graph + clickstream + ACR as the durable trio.
OSINT & CAI Procurement for Federal Buyers: Compliance, sourcing, and audit posture for federal buyers of commercially available information (CAI). What contracting officers should require in 2026.
Geofencing Best Practices: Polygons vs. Radius: Why radius geofences over- and under-count store visits, and how polygon geofences fix it — including sample SQL patterns, tuning notes, and POI quality checks.
What CPG Brands Can Learn From Transaction Data: Five signals CPG brands miss when they only look at point-of-sale: cross-shop, channel mix, lapsed-buyer triggers, basket affinity, household.
Real Estate Data in Modern Mortgage Underwriting: How lenders use 155M-record property data to validate collateral, catch occupancy fraud, and price risk more accurately than AVMs alone support.
Non-FCRA Mortgage Leads — 2026 Compliance Guide: What "non-FCRA" actually means for mortgage leads: permissible use, sourcing, and how compliant marketing teams document their lead flow in 2026.
Insurance Lead Quality: Conversion Benchmarks: What actually drives conversion differences across insurance lead sources: intent freshness, consent artifacts, deduplication, and lead-age mechanics.
Property Data for CRE Investment Due Diligence: How commercial real estate investors use property-level data — ownership, assessments, tax, transactions — to accelerate and sharpen due diligence.
Evaluating a B2B Contact Database Before You Sign: A buyer's checklist for B2B contact-database procurement: coverage, match rates, phone validation, list decay, consent posture, and transparent vendor pricing.
Identity Graphs 101: MAID, HEM, CTV, Household: What an identity graph actually is, how MAID-to-HEM resolution works, and how CTV IDs and household linkage fit into the modern post-cookie identity stack.
Fraud Detection with Location + Property Signals: How fraud teams combine location data and property-level signals to catch synthetic identities, first-party application fraud, and mule-account patterns.
CPG Signals in Alt Data: 71M DAUs Explained: What transaction-level CPG signals from a 71M DAU panel actually reveal about brand share, category trends, and private-label shift — and how to use them.
Privacy-Safe Audience Targeting Post-Cookie: A practitioner's map of post-cookie audience targeting: first-party CRM, clean rooms, contextual, and authenticated identity — with trade-offs buyers feel.
Mortgage Servicing Monitoring with Property Data: How mortgage servicers use 155M-property-record data to flag occupancy drift, liquidity events, and portfolio risk between the formal servicing touch points.
Insurance Lead Monetization: The Home Data Story: Why property data is the decisive signal for insurance lead monetization in 2026 — and how carriers rebalance their marketing spend around it.
CRE Due Diligence Playbook: Sophisticated Shops: The CRE investment due-diligence playbook sophisticated shops run — ownership, occupancy, cash-flow signals, and the data stack behind each.
Alt Data for Equity Research: Buyer's Checklist: A 2026 buyer's checklist for alternative data in equity research — signal-to-noise, coverage, tickerization, compliance posture, and onboarding friction.
Cross-Channel Measurement: Privacy-First 2026: How privacy-first advertisers measure ad impact across CTV, mobile, web, and in-store without relying on third-party cookies or unscoped mobile device IDs.
B2B Prospecting 2026: When Cold Email Broke: A practitioner's guide to B2B prospecting in 2026 — LinkedIn, intent data, direct mail revival, and the B2B contact database layer that powers it all.
Retail Media Networks: The Data Layer Behind It: What actually powers retail media networks — first-party purchase data, loyalty signals, MAID and CTV joins, and the measurement layer making it monetizable.
Email Data: Multi-Match vs Single-Match Buying: A buyer's guide to email data procurement in 2026 — what multi-match and single-match mean, how they interact with deliverability, and when to use each.
Smart Cities Mobility Data: Urban Planner Guide: What city agencies, MPOs, and urban-planning consultancies actually need from mobility data — OD flows, dwell patterns, equity overlays, and privacy scoping.
Travel & Hospitality 2026: Recovery Signals: What foot-traffic, CTV-exposure, and spend data reveal about the 2026 travel-and-hospitality recovery — by segment, by geography, by traveler cohort.
What Is POI Data? Complete Buyer Guide (2026): POI data defined: collection, use cases, provider evaluation, and privacy for point-of-interest catalogs. Reference guide for procurement teams.
POI Data Providers: What to Look For in 2026: How to compare POI data providers on coverage, polygon quality, refresh, compliance, and delivery. A buyer checklist for location intelligence RFPs.
POI Data for OOH & CTV Geofence Targeting Guide: How polygon POI data powers out-of-home geofences, CTV-to-store attribution, and privacy-safe audience building for adtech measurement teams.
POI Data Pricing: Vendor Cost Drivers Explained: How POI data is priced — geography, category, refresh SLA, delivery format, and derived-use rights. What drives cost before you sign a license.

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