惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

月光博客
月光博客
Martin Fowler
Martin Fowler
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
The Last Watchdog
The Last Watchdog
S
Schneier on Security
C
Cisco Blogs
P
Privacy International News Feed
T
Tenable Blog
Spread Privacy
Spread Privacy
Recent Commits to openclaw:main
Recent Commits to openclaw:main
N
News and Events Feed by Topic
Security Archives - TechRepublic
Security Archives - TechRepublic
阮一峰的网络日志
阮一峰的网络日志
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
大猫的无限游戏
大猫的无限游戏
Project Zero
Project Zero
GbyAI
GbyAI
N
Netflix TechBlog - Medium
T
Tor Project blog
雷峰网
雷峰网
Y
Y Combinator Blog
H
Hackread – Cybersecurity News, Data Breaches, AI and More
T
Threat Research - Cisco Blogs
Cyberwarzone
Cyberwarzone
L
LangChain Blog
MyScale Blog
MyScale Blog
C
CERT Recently Published Vulnerability Notes
C
Check Point Blog
G
Google Developers Blog
T
Tailwind CSS Blog
L
LINUX DO - 热门话题
宝玉的分享
宝玉的分享
IT之家
IT之家
F
Fortinet All Blogs
TaoSecurity Blog
TaoSecurity Blog
Recent Announcements
Recent Announcements
T
The Exploit Database - CXSecurity.com
Hacker News: Ask HN
Hacker News: Ask HN
aimingoo的专栏
aimingoo的专栏
云风的 BLOG
云风的 BLOG
Engineering at Meta
Engineering at Meta
K
KPMG report finds enterprise disconnect between AI and its ROI | CIO
Google Online Security Blog
Google Online Security Blog
Help Net Security
Help Net Security
H
Hacker News: Front Page
小众软件
小众软件
U
Unit 42
Apple Machine Learning Research
Apple Machine Learning Research
P
Privacy & Cybersecurity Law Blog
T
Threatpost

Latest blog posts

Finding Solutions for Data Bias | Demyst Using Snowflake for External Data Deployment | Demyst 5 Hurdles Facing New Financial Products | Demyst The What, Why, and How of External Data | Demyst Fast Company Recognizes How External Data Can Change the World | Demyst 5 Checks for Flagging Fraud Risk | Demyst External Data’s Tipping Point | Demyst OpenCorporates Spotlight: Data Transparency Deep Dive | Demyst Vendor Due Diligence for Data Privacy | Demyst Looking Ahead: High Expectations, Low Margins for Error | Demyst How Lenders and Insurers Can Use Geolocation Data | Demyst Assessing Driver Risk Without Using Credit Scores | Demyst Digital Footprints for ID Verification | Demyst Layered Solutions to Fight SMB Lending Fraud | Demyst Global IDV Workflows Demand Multi-Source Solutions | Demyst Fintechs: Drifting into Compliance Failure? | Demyst Penalties Mount for Marketers Using Toxic Data | Demyst Assess Insurance Risk with Property Data | Demyst Application Prefill: A Digital Reality | Demyst Demand for ESG Data is Accelerating | Demyst Demyst’s Entity Resolution: Multi-Source Recipes | Demyst Verifying Phone Numbers Is Key for the BNPL Vertical | Demyst Game Changer: Demyst’s Entity Resolution Tech | Demyst Social Inflation Raises Courtroom Risks | Demyst Expecting the Unexpected | Demyst Meet Demyst at AWS re:Invent 2021 | Demyst External Data Addresses Crypto Regulations | Demyst Supply Chain Risk Management | Demyst Collaboration with AWS Data Exchange | Demyst Improving Trust on Managed Platforms | Demyst Risk Management: Diving Deeper | Demyst Assess Risk with Crime Data | Demyst The Risk Equation for Online Transactions Has Changed | Demyst Data Decay: An Ongoing Issue | Demyst The Increasing Responsibilities of Non-Bank Lenders | Demyst Mitigating Fraud with Social Media Data | Demyst Pandora Papers Pierce the Veil | Demyst What Constitutes ESG Data? | Demyst Demand for BNPL services is growing exponentially...data is the enabler. |… Residential Property Data For Marketing Decisions | Demyst Liens: Key Risk Assessment Indicators | Demyst Looking Beyond Registry Details for U.S. Businesses | Demyst Synthetic Identities, Genuine Fraud | Demyst Business Judgment Monitoring Made Frictionless | Demyst External Data Insights for the Insurance Industry | Demyst Going Deeper than Tax Assessor Data for Marketing | Demyst Addressing Data Decay in Phone Numbers | Demyst Leveraging External Data to Address Rising Compliance Costs | Demyst How to Verify a U.S. Person’s Address | Demyst Automating Due Diligence Processes with Business Website Lookup | Demyst Inspecting the Dots: Common Checks to Spot Fraudulent Businesses | Demyst Mind the Gap in Local Property Records | Demyst State Regulators Set External Data and Model Monitoring Requirements | Dem… Mitigating Marketplace Onboarding Risk With External Data | Demyst Warning Signs in Small Business Insurance | Demyst Climate is Changing and So Must Insurance | Demyst How are Commercial Insurers Adapting to Climate Change? | Demyst Untangling Merchant Chains of Ownership with UBO Data | Demyst Demyst raises A$33m and announces plans to IPO | Demyst Digital Fraud Attempts Have Risen By 150% | Demyst A new report suggests 79% of businesses will forsake some growth for incre… It's flood season! In response, FEMA is incorporating new external data in… Millions of PPP dollars went to fake farms in the Carolinas...could it hav… Litigation analytics is taking off...what data is available and what are t… Enterprise Litigation Analytics Data Landscape | Demyst B2B intent data is powerful...but third-party cookies are going away soon.… Assessing business intentions....with intent data | Demyst Privacy policies for geolocation data are changing....what will be the imp… Data Landscape - Global Mobility Data | Demyst DemystData Announces Collaboration with AWS Data Exchange to support exter… Emerging Small Business Use-Cases with Geolocation Data | Demyst HazardHub Data Spotlight: 900+ attributes to describe and assess a propert… Demyst Recipe: Getting Business Registration Details from Multiple Data So… Launching the Demyst Webinar Series | Demyst Why establish FinCrime data middleware? | Demyst Know more. Do more. | Demyst Predicting Customer Trajectory with External Data | Demyst Demyst and Harbor Point Analytics partner to bring external data to the In… Leveraging External Data to Identify "Breakout SMBs" | Demyst Dynamic Fraud Mitigation | Demyst Swimming Pools, Trampolines, and Now What | Demyst Automating CARES Act Payroll Verification | Demyst Who knows their County FIPS code anyway? Say hello to Zip code based Covid… Assessing Covid Supply Chain Risks with External Data | Demyst A message from the Demyst team | Demyst
Examining consumer behavior during COVID-19 using near real-time consumer …
The Demyst Team · 2020-04-01 · via Latest blog posts

The ongoing coronavirus pandemic has rapidly grown from a localized health issue to an international pandemic. The shutdown of retail, restaurant, and travel industries threatens the economic livelihood of millions of Americans.

At DemystData, we have access to multiple datasets and data products that track US consumer behavior, demographic profiles, and geo-location details. We are using as much data as we can to help understand which sectors are being impacted the hardest and will continue to monitor the virus’ impact over the coming days and likely months.

Much has been reported by the media about the direct impact of coronavirus on the US economy but few sources have been aggregated in a way that tells a more complete story and ties together what we know about the virus, such as who it impacts and how quickly the impact is perpetuating at a more granular level.

Demyst recently brought a new product to market that consists of over 10 Million anonymous US Consumers and tracks Consumer spending for the prior 60+ months by way of debit cards both in-person and online that can be batch analyzed multiple times per day. While the true identities of the consumers are unknown, the 4-digit year of birth, time-stamped transaction date, merchant names, and the best known domicile geo-location of each consumer is provided and can be used in wise ways; especially to dig deeper into behavior prior to and during a pandemic such as COVID-19.

The CDC continues to declare that COVID-19 affects us differently depending on our age. Using the panel year of birth attribute we organized the panelists by the PEW Research Generations so that we can more closely tie insights to what the media has been reporting regarding age groups and corona susceptibility.

This first exhibit considers the in-person spending across the Top 100 US merchants by generational cohorts for a fixed panel of consumers and also adjusts the calendar days to like days of the week year over year (2020 is a leap-year):

Demyst Debit Card Insights as of 3/29/2020

As you can see from the chart, Generation Z (18yrs — 22yrs old) has continued to outspend their March 2019 amounts even as the pandemic has intensified during late March 2020. This data also suggests that Millennials (23yrs — 38yrs old) have exhibited mostly positive year over year in-person spending throughout the month of March. It’s also interesting to see that even as of March 30, 2020 (where this data ends), the year over year total across all generations is still markedly positive at +9.8%. It is important to note that the consumers represented in this panel are predominantly “Mass Market” consumers and can be characterized as those who earn between approximately $40,000 and $80,000 per year.

We at Demyst will continue to use our vast collection of data to continue reporting on COVID-19 related insights. Stay safe out there!!!