Turn Small Insights into Big Results
Dive into data nuggets for effective audience development.
Imagine billions of individual consumer online experiences—all at your fingertips.
Now…take that information and carve it down to key findings that relate to your specific industry. THESE are the insights that can help to inform decision-making, strategy, and understanding market trends.
Data nuggets often identify a shift in consumer behavior or preferences in a specific geographic region—well before it becomes a trend. This early insight can help make proactive business decisions that help profitability and enhance lead generation.
Dig Deep with AGR
AGR Marketing Solutions makes data mining a breeze. No matter the industry or angle, we can drill down to specific insights to help you better position your brand or service. Whether it’s decisions regarding an upcoming purchase, vacation, or life-changing event, AGR Marketing Solutions has the intel to help you learn more about your target audience.
Ready to dig? Let us put together a customized demo to show you where our data can take you.
Automotive
AGR Automotive VIN Marketing Database
Target the Right Drivers with Precision
The AGR Automotive VIN Marketing Database provides detailed vehicle ownership, specifications, and service activity to support data-driven marketing across the automotive industry. From new and used vehicle sales to insurance, parts & service, and warranty campaigns, our database enables highly targeted outreach. It also identifies garages and owners of green and electric vehicles, giving you an edge in emerging markets.
Scale & Flexibility
Our VIN database contains 165 million autos and can be delivered in multiple formats to fit your workflow, including .CSV, .XLS, .SQL, and .TXT.
Targeted Consumer Groups
- Alternative Fuel Vehicles – Diesel, Electric, & Hybrid
- Luxury Cars – High-end vehicle owners
- Used Cars – Active buyers in the pre-owned market
Group Insights
- Alternative Fuel: Men & women, ages 45–70, household income $75K+, 35% homeowners.
- Luxury Cars: 65% male, 48% households with 1+ cars, 35% homeowners.
- Used Cars: Women, ages 25–45, 52% with household income $125K+.
Flexible Pricing Options
- One-off purchase
- Monthly licensed access to leads
- Yearly renewable license
AGR Automotive VIN Database is built to help you reach the right audience at the right time, improving response rates and campaign ROI.
Financial Will & Means (FWM)
Very few people have the need, interest, and finances to be potential buyers. But what if every call, email, and letter reached someone who actually could and would buy?
At AGR, our Financial Will & Means (FWM) model does just that. We analyze multiple indicators—household income, credit score, property ownership, age, life stage, length of residency, and move frequency—to assign a custom score to each contact in your dataset.
The result? You get a highly accurate list of likely customers, so you spend less time chasing uninterested prospects—and more time connecting with real opportunities.
Bonus: Our data is updated regularly, keeping your campaigns fresh and effective.
Using AGR’s Financial Will & Means (FWM) scoring, we evaluate multiple factors, including:
- Household income
- Credit profile
- Property ownership
- Life stage
- Residency length
- Move frequency
This allows us to create highly accurate lists of likely buyers, so your marketing reaches those who can and want to buy.
Updated weekly, this data ensures your outreach—via email, direct mail, or digital campaigns—lands in the right hands at the right time, maximizing engagement and reducing wasted marketing spend.
The result? Your calls, emails, and mailers connect with people ready to act, improving response rates and overall campaign performance.
Home and Garden
Daily AGR collects billions of individual consumer online experiences, covering 28 different taxonomy levels. The data is collected through multiple DSPs (Data Service Providers) and uploaded into our Amazon S3 bucket for processing. The data is matched via the encrypted MD5 & SHA256 fields to the AGR master consumer file capturing specific linkage fields to other files and specific fields. All match records are postal verified and are matched to our 200 million record active digital file with thousands of individual characteristics.- Gardening
- Landscaping
- Outdoor Decorating
- Interior Decorating
- Gardening & Landscaping – household income of $75,000+, and 35% are homeowners.
- Outdoor Decorating – women are 46% and the average age is 46.
- Interior Decorating – women in single-family households are 32%.
Medical/Health
AGR collects 125 million unique combinations of emails and device IDs on US consumers on a quarterly basis – with online experiences covering 28 different taxonomy levels. This data is collected through multiple DSPs (Data Service Providers) and uploaded into our Amazon S3 bucket for processing. AGR’s Intelli-Link consumer file of 220 million individuals captures specific linkage fields to 22 additional in-house files and thousands of specific fields. All match records are postal verified and updated monthly.The Internet serves as an expansive source of information, frequently consulted for insights and direction on numerous health-related concerns. AGR leverages demographic data from individuals and households to pinpoint those pursuing healthcare services. Below is a concise summary of search inquiries that align with AGR’s demographic database.
The online consumer inquiries for Medical/Health:
- Digestive Disorders
- ENT
- Eating disorders
- Cancers
- Cardiovascular
- Dental
- Diabetes
- Mental Health
- Substance Abuse
- Vision Impairment
- Individual Focus
- Allergies
- Arthritis
- Cholesterol
- Cosmetic Surgery
- Foot Health
- Incontinence
- Pregnancy
- Digestive Disorders: Commonly searched by adults aged 30-64, with a higher prevalence among women.
- Cardiovascular Issues: Commonly searched by adults over 40, with higher rates among men.
- Dental Issues: Searched by all age groups, but especially by adults aged 20-50.
- Diabetes: Commonly searched by adults over 40, with higher prevalence among Hispanic and African American populations.
- Mental Health: Searched by all age groups, but particularly by women and younger adults (18-34)
Personal Finance
AGR collects 125 million unique combinations of emails and device IDs on US consumers on a quarterly basis – with online experiences covering 28 different taxonomy levels. The data is collected through multiple DSPs (Data Service Providers) and uploaded into our Amazon S3 bucket for processing. AGR’s Intelli-Link consumer file of 220 million individuals captures specific linkage fields to 22 additional in-house files and thousands of specific fields. All match records are postal verified and updated monthly.
The Internet serves as an expansive source of information, frequently consulted for insights and direction on numerous Personal Finance concerns. AGR leverages demographic data from individuals and households to pinpoint those pursuing health care services. Below is a concise summary of search inquiries that align with AGR’s demographic database.
The online consumer inquiries for Personal Finance:
- Insurance
- Personal Debt
- Personal Investing
Individual Focus
- Health – Life – Home – Auto
- Home loans
- Debt resolution
Medical Health Searches by Demographics:
Financial Assistance
- Age: Younger consumers (Millennials and Gen Z) are more likely to seek financial assistance due to student loans and entry-level wages.
- Income: Lower-income households often require more financial assistance.
- Ethnicity: There are disparities in wealth and financial assistance needs among different racial and ethnic groups.
Insurance
- Age: Older consumers (Baby Boomers) are more likely to seek life and health insurance.
- Income: Higher-income households tend to invest more in comprehensive insurance plans.
- Generational Shifts: Millennials are becoming the dominant insurer segment, with concerns about mental health and property protection.
Personal Debt
- Age: Gen Z and Millennials have higher levels of personal debt, particularly in student loans and credit card debt.
- Income: Lower-income households are more likely to have higher debt-to-income ratios.
- Education: Higher levels of education often correlate with higher levels of student loan debt.
Personal Investing
- Age: Gen X and Baby Boomers are more likely to engage in personal investments for retirement.
- Income: Higher-income households are more likely to invest in stocks, bonds, and other financial instruments.
- Education: Higher levels of education often correlate with more active personal investing.
Health, Life, Home, Auto Insurance
- Age: Baby Boomers and Gen X are more likely to seek health, life, home, and auto insurance.
- Income: Higher-income households tend to have more comprehensive insurance coverage.
- Generational Shifts: Gen Z and Millennials are increasingly interested in digital and personalized insurance services.
Debt Resolution
- Age: Gen Z and Millennials are more likely to seek debt resolution services due to higher student loan and credit card debt levels.
- Income: Lower-income households are more likely to need debt resolution services.
- Education: Higher levels of education often correlate with higher levels of student loan debt, leading to a need for debt resolution services.
Home Loans
- Age: Gen X and Baby Boomers are more likely to seek home loans for purchasing property.
- Income: Higher-income households are more likely to qualify for home loans.
- Ethnicity: There are disparities in homeownership rates among different racial and ethnic groups.
Phone & Email Appends
AGR Append Solutions offers a comprehensive approach to enriching and validating customer data.
- Segments matching telephone numbers into three classifications: belonging to the name on the
record, active and not disconnected, and frequently used within the last month. - Ensures higher data quality compared to typical telemarketing lists.
- Validates postal records first and then matches them to the national telephone file for data enhancement.
Take a phone number and append a person and address. Call centers can load on-demand numbers through API OR BULK UPLOAD to capture prospect name, address, and over 800 additional demographics, property ownership, date of birth, lifestyle, and behavioral fields of information. Companies can send batch file with phones to have PII appended.
Email Appends
AGR Email Append and Reverse Append Solutions offer an inclusive approach to increasing total file data to your customer data.
- Utilizes a vast database derived from billions of daily online digital interest’s records.
- Contains over 280 million active emails, with 6-7 million new email records added monthly.
- Covers over 130 million households across all 50 states and DC.
- Data is validated and matched to the AGR Master Email file, with additional appended information such as name, address, and numerous linkable identity elements.
- Provides insights into the recency, frequency, and duration of each consumer’s online interests and searches.
- Provides appending digital and mobile information to your records.
Take an email name or file and append a person and address. Upload emails through API OR BULK UPLOAD to capture prospect name, address, and over 800 additional demographics, property ownership, date of birth, lifestyle, and behavioral fields of information.
Smart MailBox
It doesn’t matter how nice it looks, what the offer is, or how much time you put into making them – most direct mail ends up in the junk pile. That’s because they’re ending up in the wrong places.
AGRs’ Smart Mailboxes™ solve this problem with a constantly updating database that ensures mail goes to addresses where customers have a genuine interest in the product and the means to purchase it. They also boost savings by eliminating duplicate addresses and ensuring only one mailer goes to each address, avoiding redundancy.
Smart Mailboxes™ help companies cut over 10% of bad addresses and enhance wealth scoring to get mailers where they need to go.
Stop Wasting Calls, Emails, and Mail on the Wrong People
You finally reach someone on a cold call. They fit your “perfect customer” profile… but have zero interest in what you’re selling.
The truth: very few people have the need, interest, and means to be a real buyer.
That’s where AGR’s Financial Will and Means (FMW) model comes in. We combine multiple indicators—household income, credit score, property ownership, age, life stage, length of residency, and move frequency—to assign a custom score to every contact.
The result? You get a highly targeted list of likely buyers, so you can:
- Focus on people who actually want your product
- Improve email opens, clicks, and direct mail responses
- Save time and cut wasted spend
We update our data regularly to keep your lists accurate and actionable.
Stop guessing. Start targeting.
Turn intent into action.
HEM – MAID Combinations
HEM – MAID combinations” refers to a unique identifier or matching key system used to connect different datasets. Here’s the breakdown:
- HEM – Often shorthand for Household Email Mapping (or a similar term), representing a hashed or anonymized household-level identifier tied to email addresses and/or devices.
- MAID – Stands for Mobile Advertising ID, which is a device-level identifier for smartphones and tablets (iOS IDFA, Android AAID).
- Combination – By combining HEM and MAID in a dataset, AGR can:
- Link household-level data (income, demographics, address) to device-level activity (app usage, browsing, clicks).
- Ensure that targeted campaigns reach the right people across channels (email, social, digital ads) without duplicates.
- Maintain privacy and PII compliance by using hashed identifiers while still achieving accurate audience targeting.
Example Use Case:
- You want to market a home appliance. Using the HEM–MAID combination, AGR can:
- Identify households with the right income & demographics (HEM).
- See which devices in that household have shown interest in home appliances (MAID).
- Send highly targeted digital ads + email campaigns only to likely buyers.
Real Estate
Quarterly, AGR collects 125 million unique combinations of emails and device IDs on US consumers with online experiences covering 28 different taxonomy levels. The data is collected through multiple DSP’s (Data Service Providers) and uploaded into our Amazon S3 bucket for processing. AGR’s Intelli-Link consumer file of 220 million individuals captures specific linkage fields to 22 additional in-house files and thousands of specific fields. All match records are postal verified and updated monthly.- Buying
- Seling
- Renting
- Low Income Housing
Group Stats:
- 53% of renters live in an apartment building.
- The average age of a renter is 39 years old.
- 54% of Gen Xers (44 to 58) are first time home buyers.
- 21% of Older Millennials (34 to 43) are first time home buyers.
- 17% of Younger Millennials (25 to 33) are first time home buyers.
- Low income housing is frequently sought by families with children.
- One-off Purchase
- Monthly License of the leads
- Yearly Renewable License
New Movers & Change-of-Address Signals
Connect with new movers before your competitors do.
AGR’s New Movers & Change-of-Address Signals file tracks consumers who have recently relocated, giving you the opportunity to reach them right when they’re settling into their new home—the perfect time for home-related products and services.
Our database captures full PII—first name, last name, address, city, state, ZIP—and is enriched with household and demographic indicators to help you target the right people for your offer.
Using AGR’s Financial Will & Means (FWM) scoring, we evaluate multiple factors, including:
- Household income
- Credit profile
- Property ownership
- Life stage
- Residency length
- Move frequency
This allows us to create highly accurate lists of likely buyers, so your marketing reaches those who can and want to buy.
Updated weekly, this data ensures your outreach—via email, direct mail, or digital campaigns—lands in the right hands at the right time, maximizing engagement and reducing wasted marketing spend.
Key Benefits:
- Tracks recently relocated households for timely marketing
- Enables targeting for new products and services like furniture, utilities, and home services
- Eliminates wasted mailers on outdated addresses
- Boosts ROI with postal verification and wealth scoring
The result? Your calls, emails, and mailers connect with people ready to act, improving response rates and overall campaign performance.
Travel
The AGR Digital Marketing database links to millions of daily digital intent features for marketers and businesses. Daily AGR collects intent queries on individual consumer online experiences covering 28 taxonomy levels. This subset of information is geared to individuals searching for domestic and international travel opportunities.That data is collected through multiple DSPs (Data Service Providers) and uploaded into our Amazon S3 bucket for processing. The data is matched via the encrypted MD5 field to the AGR master consumer file, capturing specific linkage fields to other files and specific fields. All match records are postal verified, and through the MD5 (email link), matched to our 200 million record active digital file with thousands of individual characteristics updated monthly.
The online consumer inquiries for travel:
International Inquiry Destinations
- Africa
- Asia
- Australia
- Europe
- Mexico
- South America
Travel Preferences
- Air
- Cruising
- Railway
Individual Focus
- Honeymoon/Getaways
- Seaside Resorts
- Spas
- Travel with Kids
Travel Demographics:
- Married couples with no children: Spend an average of $8,144 per household.
- Baby Boomers: Spend the most on vacations, with an average of $6,126/trip.
- Gen X: Average spending is around $5,060/trip.
- Millennials: Spend about $4,141 on vacations.
- Gen Z: Average spend is $2,788/trip
- Higher Income: Only those earning $80K+ have not traveled abroad.
- One-off Purchase
- Monthly License of the leads
- Yearly Renewable License
AGR Social Media Indicators
Unlock the Power of Digital Engagement: LinkedIn, Facebook, Twitter, and more.
In today’s digital world, social media isn’t just a channel—it’s a window into what your audience cares about, who they influence, and when they’re ready to engage. AGR’s Social Media Indicators give you unparalleled insight into the behaviors and interests of consumers across LinkedIn, Facebook, Twitter, and other major platforms, enabling smarter, data-driven marketing decisions.
What We Do
Every day, AGR collects hundreds of millions of unique social interactions, tracking likes, shares, comments, and other engagement signals. Each record is matched to full PII—including first name, last name, address, city, state, and ZIP—and enriched with household, demographic, and behavioral data.
Target with Precision
Using AGR’s proprietary Financial Will & Means (FWM) scoring, we evaluate not only the likelihood of engagement but also the capacity and intent to act. By analyzing income, credit, property ownership, life stage, length of residency, and move frequency, we assign a custom score to each consumer. This ensures that your campaigns—whether paid social, email, or direct outreach—reach the people who are most likely to convert.
Key Features
- Multi-platform Coverage: LinkedIn, Facebook, Twitter, and more.
- Real-Time Engagement Data: Recency, Frequency, and Streak metrics updated weekly.
- Behavioral Insights: Interests, group memberships, and social activity patterns.
- Highly Accurate Targeting: FWM scoring and demographic enrichment for actionable campaigns.
- Integration Ready: Deliverable in formats compatible with CRM systems, email platforms, or custom analytics workflows.
Why It Works
Social media behavior is a strong predictor of intent. With AGR Social Media Indicators, you don’t just reach users—you connect with active, engaged individuals who are more likely to respond to your offer. Whether you’re driving conversions, building awareness, or activating new audiences, this data reduces wasted spend, improves click-through and engagement rates, and gives your marketing campaigns a measurable edge.
Use Cases
- Launching targeted ad campaigns to high-value audiences.
- Identifying social influencers for niche segments.
- Combining social engagement with email and direct mail campaigns for omni-channel activation.
- Enhancing lead scoring and predictive modeling for sales teams.
The Result
Every call, email, and ad reaches the people who care and have the means to act—helping you maximize ROI while building meaningful customer relationships. With AGR, social media data is more than signals—it’s a roadmap to smarter marketing.
