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
- Alternative Fuel – Diesel, electric & Hybrid
- Luxury Cars
- Used Cars
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Alternative Fuel – men & women, 45-70, household income of $75,000+, and 35% are homeowners.
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Luxury Cars – men – 65%, 48% are households with 1 or more cars, and 35% are homeowners.
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Used Cars – women 25-45, 52% household income $125,000 or more.
- One-off Purchase
- Monthly License of the leads
- Yearly Renewable License
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.
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
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
