Introduction
The first place that many people begin their buying journey is the internet. Visiting online marketplaces allow consumers to shop and compare various products and services quickly and efficiently, allowing for the buyer to gain greater awareness and consideration that informs a subsequent purchase. By injecting insights from consumer journey analytics into their planning processes, the best marketers can improve long-term customer growth.
To support the opportunity associated with engaging buyers at the beginning of their search for key products and services, Speedeon Data partners with Verisk Marketing, formerly Jornaya to flag consumer prospects with intent signals, and compiles it into our DATAWATCH: Intent product, providing AudienceMaker users with the ability to analyze and engage with customers and consumer prospects as they progress through their buying journey.
The unique intent data powering Speedeon’s Intent Event databases is made available to Speedeon through a partnership with Verisk Marketing Solutions, formerly Jornaya, which has relationships with more than 75,000 purchasing, comparison and lead sites that capture more than 1 billion shopping activities per month. Examples of such sites include Policy Pilot, Trulia, Debt.com, LendingTree, Refi.com, ZipQuote, and many others.
A unique offering of this product is the ability to marry a time series selection with a frequency selection. Through testing, you can find the right combination of number of events and over what time period that will make your marketing resonate.
AudienceMaker users interested in leveraging intent events to support their business initiatives may access intent event attributes by navigating to the DATAWATCH INTENT data group in EXPLORER.
The DATAWATCH INTENT data group within AudienceMaker EXPLORER includes eight data subgroups that correspond to the following Speedeon Data Intent Events:
- INSURANCE
- HEALTH INSURANCE
- MORTGAGE
- EDUCATION
- FINANCIAL
- HOME SERVICES
- HOME BUYERS
- EMPLOYMENT
INSURANCE / AUTO
Auto Insurance intent data in AudienceMaker enables users to identify, analyze and engage with customers and consumer prospects that are in-market for auto insurance as identified via online shopping cues.
Auto Insurance intent data is updated daily and includes the number of shopping activities (site visits, etc.) the customer or consumer has demonstrated within the corresponding time frame.
In AudienceMaker, the INSURANCE / AUTO subgroup consists of five data attributes as outlined in the following table:
| DATA GROUP | DATA SUBGROUP | ATTRIBUTE / WIDGET NAME | GUI TYPE | ATTRIBUTE DESCRIPTION |
|---|---|---|---|---|
| INTENT DATA | INSURANCE / AUTO | AUTO INSURANCE EVENTS – YESTERDAY | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH AUTO INSURANCE PARTNER SITES TRACKED YESTERDAY |
| INTENT DATA | INSURANCE / AUTO | AUTO INSURANCE EVENTS – LAST 7 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH AUTO INSURANCE PARTNER SITES TRACKED LAST 7 DAYS |
| INTENT DATA | INSURANCE / AUTO | AUTO INSURANCE EVENTS – LAST 30 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH AUTO INSURANCE PARTNER SITES TRACKED LAST 30 DAYS |
| INTENT DATA | INSURANCE / AUTO | AUTO INSURANCE EVENTS – LAST 60 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH AUTO INSURANCE PARTNER SITES TRACKED LAST 60 DAYS |
| INTENT DATA | INSURANCE / AUTO | AUTO INSURANCE EVENTS – LAST 90 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH AUTO INSURANCE PARTNER SITES TRACKED LAST 90 DAYS |
Relevant Messaging for Auto Insurance shoppers.
Messaging may speak directly to the features and benefits of specific automotive insurance products and/or complimentary products or services that may be relevant to individuals in-market for automobile insurance.
Examples include:
- “We want to protect you and your car”
- “You could save $$$ per month with us!”
- “Want to find out why XXX,XXX other drivers are insured by us?”
- “Looking for car insurance?
When targeting, it is important to consider the right timing and messaging based upon the buying journey. Consider the time span and number of shopping activities demonstrated (# of days & # of events) in your engagement strategy.
INSURANCE / HOME
Home Insurance intent data in AudienceMaker enables users to identify, analyze and engage with customers and consumer prospects that are in-market for home insurance as identified via online shopping cues.
Home Insurance intent data is updated daily and includes the number of shopping activities (site visits, etc.) the customer or consumer has demonstrated within the corresponding time frame.
In AudienceMaker, the INSURANCE / HOME subgroup consists of five data attributes as outlined in the following table:
| DATA GROUP | DATA SUBGROUP | ATTRIBUTE / WIDGET NAME | GUI TYPE | ATTRIBUTE DESCRIPTION |
|---|---|---|---|---|
| INTENT DATA | INSURANCE / HOME | HOME INSURANCE EVENTS – YESTERDAY | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH HOME INSURANCE PARTNER SITES TRACKED YESTERDAY |
| INTENT DATA | INSURANCE / HOME | HOME INSURANCE EVENTS – LAST 7 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH HOME INSURANCE PARTNER SITES TRACKED LAST 7 DAYS |
| INTENT DATA | INSURANCE / HOME | HOME INSURANCE EVENTS – LAST 30 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH HOME INSURANCE PARTNER SITES TRACKED LAST 30 DAYS |
| INTENT DATA | INSURANCE / HOME | HOME INSURANCE EVENTS – LAST 60 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH HOME INSURANCE PARTNER SITES TRACKED LAST 60 DAYS |
| INTENT DATA | INSURANCE / HOME | HOME INSURANCE EVENTS – LAST 90 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH HOME INSURANCE PARTNER SITES TRACKED LAST 90 DAYS |
Relevant Messaging for Home Insurance shoppers.
Messaging may speak directly to the features and benefits of specific home insurance products and/or complimentary products or services that may be relevant to individuals in-market for home insurance.
Examples include:
- “We can save you money on your home insurance!”
- “Are you paying too much for home insurance?”
- “Contact us to get the lowest price and best coverage available.”
When targeting, it is important to consider the right timing and messaging based upon the buying journey. Consider the time span and number of shopping activities demonstrated (# of days & # of events) in your engagement strategy.
INSURANCE / LIFE
Life Insurance intent data in AudienceMaker enables users to identify, analyze and engage with customers and consumer prospects that are in-market for life insurance as identified via online shopping cues.
Life Insurance intent data is updated daily and includes the number of shopping activities (site visits, etc.) the customer or consumer has demonstrated within the corresponding time frame.
In AudienceMaker, the INSURANCE / LIFE subgroup consists of five data attributes as outlined in the following table:
| DATA GROUP | DATA SUBGROUP | ATTRIBUTE / WIDGET NAME | GUI TYPE | ATTRIBUTE DESCRIPTION |
|---|---|---|---|---|
| INTENT DATA | INSURANCE / LIFE | LIFE INSURANCE EVENTS – YESTERDAY | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH LIFE INSURANCE PARTNER SITES TRACKED YESTERDAY |
| INTENT DATA | INSURANCE / LIFE | LIFE INSURANCE EVENTS – LAST 7 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH LIFE INSURANCE PARTNER SITES TRACKED LAST 7 DAYS |
| INTENT DATA | INSURANCE / LIFE | LIFE INSURANCE EVENTS – LAST 30 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH LIFE INSURANCE PARTNER SITES TRACKED LAST 30 DAYS |
| INTENT DATA | INSURANCE / LIFE | LIFE INSURANCE EVENTS – LAST 60 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH LIFE INSURANCE PARTNER SITES TRACKED LAST 60 DAYS |
| INTENT DATA | INSURANCE / LIFE | LIFE INSURANCE EVENTS – LAST 90 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH LIFE INSURANCE PARTNER SITES TRACKED LAST 90 DAYS |
Relevant Messaging for Life Insurance shoppers.
Messaging may speak directly to the features and benefits of specific life insurance products and/or complimentary products or services that may be relevant to individuals in-market for life insurance.
Examples include:
- “We have affordable plans starting at $XX”
- “Give your family the comfort and support they need / deserve…”
- “Get your free quote today!”
When targeting, it is important to consider the right timing and messaging based upon the buying journey. Consider the time span and number of shopping activities demonstrated (# of days & # of events) in your engagement strategy.
INSURANCE / GENERAL
General Insurance intent data in AudienceMaker enables users to identify, analyze and engage with customers and consumer prospects that are in-market for insurance as identified via online shopping cues.
General Insurance intent data is updated daily and includes the number of shopping activities (site visits, etc.) the customer or consumer has demonstrated within the corresponding time frame.
In AudienceMaker, the INSURANCE / GENERAL subgroup consists of five data attributes as outlined in the following table:
| DATA GROUP | DATA SUBGROUP | ATTRIBUTE / WIDGET NAME | GUI TYPE | ATTRIBUTE DESCRIPTION |
|---|---|---|---|---|
| INTENT DATA | INSURANCE / GENERAL | GENERAL INSURANCE EVENTS – YESTERDAY | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH GENERAL INSURANCE PARTNER SITES TRACKED YESTERDAY |
| INTENT DATA | INSURANCE / GENERAL | GENERAL INSURANCE EVENTS – LAST 7 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH GENERAL INSURANCE PARTNER SITES TRACKED LAST 7 DAYS |
| INTENT DATA | INSURANCE / GENERAL | GENERAL INSURANCE EVENTS – LAST 30 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH GENERAL INSURANCE PARTNER SITES TRACKED LAST 30 DAYS |
| INTENT DATA | INSURANCE / GENERAL | GENERAL INSURANCE EVENTS – LAST 60 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH GENERAL INSURANCE PARTNER SITES TRACKED LAST 60 DAYS |
| INTENT DATA | INSURANCE / GENERAL | GENERAL INSURANCE EVENTS – LAST 90 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH GENERAL INSURANCE PARTNER SITES TRACKED LAST 90 DAYS |
Relevant Messaging for Insurance shoppers.
Messaging may speak directly to the features and benefits of insurance products and/or complimentary products or services that may be relevant to individuals in-market for insurance.
Examples include:
- “Make sure that you have the protection you need…”
- “Get your quote, it’s quick and easy!”
- “Coverage starting at $XX”
When targeting, it is important to consider the right timing and messaging based upon the buying journey. For this particular journey, a consumer could be in the market for various types of insurance so start your messaging broadly and let them guide you to what they want. Consider the time span and number of shopping activities demonstrated (# of days & # of events) in your engagement strategy.
INSURANCE / HEALTH / DENTAL
Dental Insurance intent data in AudienceMaker enables users to identify, analyze and engage with customers and consumer prospects that are in-market for dental insurance as identified via online shopping cues.
Dental Insurance intent data is updated daily and includes the number of shopping activities (site visits, etc.) the customer or consumer has demonstrated within the corresponding time frame.
In AudienceMaker, the INSURANCE / HEALTH / DENTAL subgroup consists of five data attributes as outlined in the following table:
| DATA GROUP | DATA SUBGROUP | ATTRIBUTE / WIDGET NAME | GUI TYPE | ATTRIBUTE DESCRIPTION |
|---|---|---|---|---|
| INTENT DATA | INSURANCE / HEALTH / DENTAL | INSURANCE HEALTH DENTAL EVENTS – YESTERDAY | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH DENTAL INSURANCE PARTNER SITES TRACKED YESTERDAY |
| INTENT DATA | INSURANCE / HEALTH / DENTAL | INSURANCE HEALTH DENTAL EVENTS – LAST 7 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH DENTAL INSURANCE PARTNER SITES TRACKED LAST 7 DAYS |
| INTENT DATA | INSURANCE / HEALTH / DENTAL | INSURANCE HEALTH DENTAL EVENTS – LAST 30 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH DENTAL INSURANCE PARTNER SITES TRACKED LAST 30 DAYS |
| INTENT DATA | INSURANCE / HEALTH / DENTAL | INSURANCE HEALTH DENTAL EVENTS – LAST 60 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH DENTAL INSURANCE PARTNER SITES TRACKED LAST 60 DAYS |
| INTENT DATA | INSURANCE / HEALTH / DENTAL | INSURANCE HEALTH DENTAL EVENTS – LAST 90 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH DENTAL INSURANCE PARTNER SITES TRACKED LAST 90 DAYS |
Relevant Messaging for Dental Insurance shoppers.
Messaging may speak directly to the features and benefits of specific dental insurance products and/or complimentary products or services that may be relevant to individuals in-market for dental insurance.
Examples include:
- “We make it easy to find the dental plan for you!”
- “Contact us to learn about our affordable dental plans!”
- “Check out our large network of dentist in your area!”
When targeting, it is important to consider the right timing and messaging based upon the buying journey. Consider the time span and number of shopping activities demonstrated (# of days & # of events) in your engagement strategy.
INSURANCE / HEALTH / DISABILITY
Disability Insurance intent data in AudienceMaker enables users to identify, analyze and engage with customers and consumer prospects that are in-market for disability insurance, providing income in the event that the individual becomes disabled, as identified via online shopping cues.
Disability Insurance intent data is updated daily and includes the number of shopping activities (site visits, etc.) the customer or consumer has demonstrated within the corresponding time frame.
In AudienceMaker, the INSURANCE / HEALTH / DISABILITY subgroup consists of five data attributes as outlined in the following table:
| DATA GROUP | DATA SUBGROUP | ATTRIBUTE / WIDGET NAME | GUI TYPE | ATTRIBUTE DESCRIPTION |
|---|---|---|---|---|
| INTENT DATA | INSURANCE / HEALTH / DISABILITY | INSURANCE HEALTH DISABILITY EVENTS – YESTERDAY | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH DISABILITY INSURANCE PARTNER SITES TRACKED YESTERDAY |
| INTENT DATA | INSURANCE / HEALTH / DISABILITY | INSURANCE HEALTH DISABILITY EVENTS – LAST 7 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH DISABILITY INSURANCE PARTNER SITES TRACKED LAST 7 DAYS |
| INTENT DATA | INSURANCE / HEALTH / DISABILITY | INSURANCE HEALTH DISABILITY EVENTS – LAST 30 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH DISABILITY INSURANCE PARTNER SITES TRACKED LAST 30 DAYS |
| INTENT DATA | INSURANCE / HEALTH / DISABILITY | INSURANCE HEALTH DISABILITY EVENTS – LAST 60 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH DISABILITY INSURANCE PARTNER SITES TRACKED LAST 60 DAYS |
| INTENT DATA | INSURANCE / HEALTH / DISABILITY | INSURANCE HEALTH DISABILITY EVENTS – LAST 90 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH DISABILITY INSURANCE PARTNER SITES TRACKED LAST 90 DAYS |
Relevant Messaging for Disability Insurance shoppers.
Messaging may speak directly to the features and benefits of specific disability insurance products and/or complimentary products or services that may be relevant to individuals in-market for Disability insurance.
Examples include:
- “Protect your income while you’re unable to work!”
- “When sickness or injury get in the way of work, disability insurance can help!”
- “Get financial piece of mind with disability insurance!”
When targeting, it is important to consider the right timing and messaging based upon the buying journey. Consider the time span and number of shopping activities demonstrated (# of days & # of events) in your engagement strategy.
INSURANCE / HEALTH / GENERAL
Health Insurance intent data in AudienceMaker enables users to identify, analyze and engage with customers and consumer prospects that are in-market for health insurance as identified via online shopping cues.
Health Insurance intent data is updated daily and includes the number of shopping activities (site visits, etc.) the customer or consumer has demonstrated within the corresponding time frame.
In AudienceMaker, the INSURANCE / HEALTH / GENERAL subgroup consists of five data attributes as outlined in the following table:
| DATA GROUP | DATA SUBGROUP | ATTRIBUTE / WIDGET NAME | GUI TYPE | ATTRIBUTE DESCRIPTION |
|---|---|---|---|---|
| INTENT DATA | INSURANCE / HEALTH / GENERAL | INSURANCE HEALTH GENERAL EVENTS – YESTERDAY | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH HEALTH INSURANCE PARTNER SITES TRACKED YESTERDAY |
| INTENT DATA | INSURANCE / HEALTH / GENERAL | INSURANCE HEALTH GENERAL EVENTS – LAST 7 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH HEALTH INSURANCE PARTNER SITES TRACKED LAST 7 DAYS |
| INTENT DATA | INSURANCE / HEALTH / GENERAL | INSURANCE HEALTH GENERAL EVENTS – LAST 30 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH HEALTH INSURANCE PARTNER SITES TRACKED LAST 30 DAYS |
| INTENT DATA | INSURANCE / HEALTH / GENERAL | INSURANCE HEALTH GENERAL EVENTS – LAST 60 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH HEALTH INSURANCE PARTNER SITES TRACKED LAST 60 DAYS |
| INTENT DATA | INSURANCE / HEALTH / GENERAL | INSURANCE HEALTH GENERAL EVENTS – LAST 90 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH HEALTH INSURANCE PARTNER SITES TRACKED LAST 90 DAYS |
Relevant Messaging for Health Insurance shoppers.
Messaging may speak directly to the features and benefits of specific health insurance products and/or complimentary products or services that may be relevant to individuals in-market for health insurance.
Examples include:
- “We make it easy to find the right health plan for you!”
- “We’ll protect you from high medical costs!”
- “Contact us today to learn about our health plans and wellness programs.”
When targeting, it is important to consider the right timing and messaging based upon the buying journey. Consider the time span and number of shopping activities demonstrated (# of days & # of events) in your engagement strategy.
Remember to maximize customer and prospect responsiveness with a strong call to action and, if relevant, a compelling, time sensitive offer.
INSURANCE / HEALTH / MEDICARE ADVANTAGE
Medicare Advantage intent data in AudienceMaker enables users to identify, analyze and engage with customers and consumer prospects that are in-market for Medicare insurance and want more / different coverage that the ‘Centers for Medicare & Medicaid Services’ administered plan as identified via online shopping cues.
Medicare Advantage intent data is updated daily and includes the number of shopping activities (site visits, etc.) the customer or consumer has demonstrated within the corresponding time frame.
In AudienceMaker, the INSURANCE / HEALTH / MEDICARE ADVANTAGE subgroup consists of five data attributes as outlined in the following table:
| DATA GROUP | DATA SUBGROUP | ATTRIBUTE / WIDGET NAME | GUI TYPE | ATTRIBUTE DESCRIPTION |
|---|---|---|---|---|
| INTENT DATA | INSURANCE / HEALTH / MEDICARE ADVANTAGE | INSURANCE HEALTH MEDICARE ADVANTAGE EVENTS – YESTERDAY | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH MEDICARE ADVANTAGE PARTNER SITES TRACKED YESTERDAY |
| INTENT DATA | INSURANCE / HEALTH / MEDICARE ADVANTAGE | INSURANCE HEALTH MEDICARE ADVANTAGE EVENTS – LAST 7 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH MEDICARE ADVANTAGE PARTNER SITES TRACKED LAST 7 DAYS |
| INTENT DATA | INSURANCE / HEALTH / MEDICARE ADVANTAGE | INSURANCE HEALTH MEDICARE ADVANTAGE EVENTS – LAST 30 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH MEDICARE ADVANTAGE PARTNER SITES TRACKED LAST 30 DAYS |
| INTENT DATA | INSURANCE / HEALTH / MEDICARE ADVANTAGE | INSURANCE HEALTH MEDICARE ADVANTAGE EVENTS – LAST 60 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH MEDICARE ADVANTAGE PARTNER SITES TRACKED LAST 60 DAYS |
| INTENT DATA | INSURANCE / HEALTH / MEDICARE ADVANTAGE | INSURANCE HEALTH MEDICARE ADVANTAGE EVENTS – LAST 90 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH MEDICARE ADVANTAGE PARTNER SITES TRACKED LAST 90 DAYS |
Relevant Messaging for Medicare Advantage shoppers.
Messaging may speak directly to the features and benefits of specific Medicare Advantage insurance products and/or complimentary products or services that may be relevant to individuals in-market for Medicare Advantage.
Examples include:
- “Get the extra coverage you need with Medicare Advantage from [INSURER NAME]!”
- “Save on prescription drugs with Medicare Advantage!”
- “Contact us today to learn about our low-cost Medicare Advantage plans!”
When targeting, it is important to consider the right timing and messaging based upon the buying journey. Consider the time span and number of shopping activities demonstrated (# of days & # of events) in your engagement strategy.
INSURANCE / HEALTH / MEDICARE GENERAL
Medicare Insurance intent data in AudienceMaker enables users to identify, analyze and engage with customers and consumer prospects that are in-market for Medicare insurance as identified via online shopping cues.
Medicare Insurance intent data is updated daily and includes the number of shopping activities (site visits, etc.) the customer or consumer has demonstrated within the corresponding time frame.
In AudienceMaker, the INSURANCE / HEALTH / MEDICARE GENERAL subgroup consists of five data attributes as outlined in the following table:
| DATA GROUP | DATA SUBGROUP | ATTRIBUTE / WIDGET NAME | GUI TYPE | ATTRIBUTE DESCRIPTION |
|---|---|---|---|---|
| INTENT DATA | INSURANCE / HEALTH / MEDICARE GENERAL | INSURANCE HEALTH MEDICARE GENERAL EVENTS – YESTERDAY | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH GENERAL MEDICARE PARTNER SITES TRACKED YESTERDAY |
| INTENT DATA | INSURANCE / HEALTH / MEDICARE GENERAL | INSURANCE HEALTH MEDICARE GENERAL EVENTS – LAST 7 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH GENERAL MEDICARE PARTNER SITES TRACKED LAST 7 DAYS |
| INTENT DATA | INSURANCE / HEALTH / MEDICARE GENERAL | INSURANCE HEALTH MEDICARE GENERAL EVENTS – LAST 30 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH GENERAL MEDICARE PARTNER SITES TRACKED LAST 30 DAYS |
| INTENT DATA | INSURANCE / HEALTH / MEDICARE GENERAL | INSURANCE HEALTH MEDICARE GENERAL EVENTS – LAST 60 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH GENERAL MEDICARE PARTNER SITES TRACKED LAST 60 DAYS |
| INTENT DATA | INSURANCE / HEALTH / MEDICARE GENERAL | INSURANCE HEALTH MEDICARE GENERAL EVENTS – LAST 90 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH GENERAL MEDICARE PARTNER SITES TRACKED LAST 90 DAYS |
Relevant Messaging for Medicare Insurance shoppers.
Messaging may speak directly to the features and benefits of specific Medicare insurance products and/or complimentary products or services that may be relevant to individuals in-market for Medicare insurance.
Examples include:
- “We make it easy to find the right Medicare plan for you!”
- “We’ll protect you from high medical costs!”
- “Contact us today to learn about our Medicare health plans and how we can help you save money!”
When targeting, it is important to consider the right timing and messaging based upon the buying journey. Consider the time span and number of shopping activities demonstrated (# of days & # of events) in your engagement strategy.
INSURANCE / HEALTH / MEDICARE SUPPLEMENTAL
Medicare Supplemental Insurance intent data in AudienceMaker enables users to identify, analyze and engage with customers and consumer prospects that are in-market for supplemental Medicare insurance as identified via online shopping cues.
Medicare Supplemental Insurance intent data is updated daily and includes the number of shopping activities (site visits, etc.) the customer or consumer has demonstrated within the corresponding time frame.
In AudienceMaker, the INSURANCE / HEALTH / MEDICAL SUPPLEMENTAL subgroup consists of five data attributes as outlined in the following table:
| DATA GROUP | DATA SUBGROUP | ATTRIBUTE / WIDGET NAME | GUI TYPE | ATTRIBUTE DESCRIPTION |
|---|---|---|---|---|
| INTENT DATA | INSURANCE / HEALTH / MEDICARE SUPPLEMENT | INSURANCE HEALTH MEDICARE SUPPLEMENT EVENTS – YESTERDAY | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH MEDICARE SUPPLEMENTAL PARTNER SITES TRACKED YESTERDAY |
| INTENT DATA | INSURANCE / HEALTH / MEDICARE SUPPLEMENT | INSURANCE HEALTH MEDICARE SUPPLEMENT EVENTS – LAST 7 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH MEDICARE SUPPLEMENTAL PARTNER SITES TRACKED LAST 7 DAYS |
| INTENT DATA | INSURANCE / HEALTH / MEDICARE SUPPLEMENT | INSURANCE HEALTH MEDICARE SUPPLEMENT EVENTS – LAST 30 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH MEDICARE SUPPLEMENTAL PARTNER SITES TRACKED LAST 30 DAYS |
| INTENT DATA | INSURANCE / HEALTH / MEDICARE SUPPLEMENT | INSURANCE HEALTH MEDICARE SUPPLEMENT EVENTS – LAST 60 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH MEDICARE SUPPLEMENTAL PARTNER SITES TRACKED LAST 60 DAYS |
| INTENT DATA | INSURANCE / HEALTH / MEDICARE SUPPLEMENT | INSURANCE HEALTH MEDICARE SUPPLEMENT EVENTS – LAST 90 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH MEDICARE SUPPLEMENTAL PARTNER SITES TRACKED LAST 90 DAYS |
Relevant Messaging for Medicare Supplemental Insurance shoppers.
Messaging may speak directly to the features and benefits of supplemental Medicare insurance products and/or complimentary products or services that may be relevant to individuals in-market for supplemental Medicare insurance.
Examples include:
- “We help pay your out-of-pocket costs for Medicare!”
- “Co-payments, Co-insurance & Deductibles? We’ve got you covered!”
- “Contact us today to learn about our supplemental Medicare insurance plans.”
When targeting, it is important to consider the right timing and messaging based upon the buying journey. Consider the time span and number of shopping activities demonstrated (# of days & # of events) in your engagement strategy.
INSURANCE / HEALTH / SHORT TERM
Short Term Health Insurance intent data in AudienceMaker enables users to identify, analyze and engage with customers and consumer prospects that are in-market for temporary health insurance coverage as identified via online shopping cues.
Short Term Health Insurance intent data is updated daily and includes the number of shopping activities (site visits, etc.) the customer or consumer has demonstrated within the corresponding time frame.
In AudienceMaker, the INSURANCE / HEALTH / SHORT TERM subgroup consists of five data attributes as outlined in the following table:
| DATA GROUP | DATA SUBGROUP | ATTRIBUTE / WIDGET NAME | GUI TYPE | ATTRIBUTE DESCRIPTION |
|---|---|---|---|---|
| INTENT DATA | INSURANCE / HEALTH / SHORT TERM | INSURANCE HEALTH SHORT TERM EVENTS – YESTERDAY | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH SHORT TERM HEALTH INSURANCE PARTNER SITES TRACKED YESTERDAY |
| INTENT DATA | INSURANCE / HEALTH / SHORT TERM | INSURANCE HEALTH SHORT TERM EVENTS – LAST 7 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH SHORT TERM HEALTH INSURANCE PARTNER SITES TRACKED LAST 7 DAYS |
| INTENT DATA | INSURANCE / HEALTH / SHORT TERM | INSURANCE HEALTH SHORT TERM EVENTS – LAST 30 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH SHORT TERM HEALTH INSURANCE PARTNER SITES TRACKED LAST 30 DAYS |
| INTENT DATA | INSURANCE / HEALTH / SHORT TERM | INSURANCE HEALTH SHORT TERM EVENTS – LAST 60 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH SHORT TERM HEALTH INSURANCE PARTNER SITES TRACKED LAST 60 DAYS |
| INTENT DATA | INSURANCE / HEALTH / SHORT TERM | INSURANCE HEALTH SHORT TERM EVENTS – LAST 90 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH SHORT TERM HEALTH INSURANCE PARTNER SITES TRACKED LAST 90 DAYS |
Relevant Messaging for Short Term Health Insurance shoppers.
Messaging may speak directly to the features and benefits of specific short term health insurance products and/or complimentary products or services that may be relevant to individuals in-market for short term health insurance.
Examples include:
- “Need short-term health insurance? We’ve got a plan for you!”
- “Between Jobs? We’ll protect you from high medical costs!”
- “Contact us today to learn about our short-term health insurance plans.”
When targeting, it is important to consider the right timing and messaging based upon the buying journey. Consider the time span and number of shopping activities demonstrated (# of days & # of events) in your engagement strategy.
MORTGAGE / PURCHASE
Mortgage Purchase intent data in AudienceMaker enables users to identify, analyze and engage with customers and consumer prospects that are in-market for mortgages as identified via online shopping cues.
Mortgage Purchase intent data is updated daily and includes the number of shopping activities (site visits, etc.) the customer or consumer has demonstrated within the corresponding time frame.
In AudienceMaker, the MORTGAGE / PURCHASE subgroup consists of five data attributes as outlined in the following table:
| DATA GROUP | DATA SUBGROUP | ATTRIBUTE / WIDGET NAME | GUI TYPE | ATTRIBUTE DESCRIPTION |
|---|---|---|---|---|
| INTENT DATA | MORTGAGE / PURCHASE | MORTGAGE PURCHASE EVENTS – YESTERDAY | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH MORTGAGE PURCHASE PARTNER SITES TRACKED YESTERDAY |
| INTENT DATA | MORTGAGE / PURCHASE | MORTGAGE PURCHASE EVENTS – LAST 7 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH MORTGAGE PURCHASE PARTNER SITES TRACKED LAST 7 DAYS |
| INTENT DATA | MORTGAGE / PURCHASE | MORTGAGE PURCHASE EVENTS – LAST 30 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH MORTGAGE PURCHASE PARTNER SITES TRACKED LAST 30 DAYS |
| INTENT DATA | MORTGAGE / PURCHASE | MORTGAGE PURCHASE EVENTS – LAST 60 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH MORTGAGE PURCHASE PARTNER SITES TRACKED LAST 60 DAYS |
| INTENT DATA | MORTGAGE / PURCHASE | MORTGAGE PURCHASE EVENTS – LAST 90 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH MORTGAGE PURCHASE PARTNER SITES TRACKED LAST 90 DAYS |
Relevant Messaging for Mortgage Purchasers.
Messaging may speak directly to the features and benefits of mortgage products and/or complimentary products or services that may be relevant to individuals in-market for a mortgage.
Examples include:
- “We offer lower rates on mortgages compared to other lenders…”
- “Contact us today to find out your mortgage rate…”
- “Estimate your monthly mortgage payment…”
When targeting, it is important to consider the right timing and messaging based upon the buying journey. Consider the time span and number of shopping activities demonstrated (# of days & # of events) in your engagement strategy.
MORTGAGE / REFINANCE
Mortgage Refinance intent data in AudienceMaker enables users to identify, analyze and engage with customers and consumer prospects that are in-market to refinance their mortgage as identified via online shopping cues.
Mortgage Refinance intent data is updated daily and includes the number of shopping activities (site visits, etc.) the customer or consumer has demonstrated within the corresponding time frame.
In AudienceMaker, the MORTGAGE / REFINANCE subgroup consists of five data attributes as outlined in the following table:
| DATA GROUP | DATA SUBGROUP | ATTRIBUTE / WIDGET NAME | GUI TYPE | ATTRIBUTE DESCRIPTION |
|---|---|---|---|---|
| INTENT DATA | MORTGAGE / REFINANCE | MORTGAGE REFINANCE EVENTS – YESTERDAY | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH MORTGAGE REFINANCE PARTNER SITES TRACKED YESTERDAY |
| INTENT DATA | MORTGAGE / REFINANCE | MORTGAGE REFINANCE EVENTS – LAST 7 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH MORTGAGE REFINANCE PARTNER SITES TRACKED LAST 7 DAYS |
| INTENT DATA | MORTGAGE / REFINANCE | MORTGAGE REFINANCE EVENTS – LAST 30 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH MORTGAGE REFINANCE PARTNER SITES TRACKED LAST 30 DAYS |
| INTENT DATA | MORTGAGE / REFINANCE | MORTGAGE REFINANCE EVENTS – LAST 60 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH MORTGAGE REFINANCE PARTNER SITES TRACKED LAST 60 DAYS |
| INTENT DATA | MORTGAGE / REFINANCE | MORTGAGE REFINANCE EVENTS – LAST 90 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH MORTGAGE REFINANCE PARTNER SITES TRACKED LAST 90 DAYS |
Relevant Messaging for Consumers looking to refinance their mortgage.
Messaging may speak directly to the features and benefits of mortgage refinancing products and/or complimentary products or services that may be relevant to individuals in-market for a mortgage.
Examples include:
- “Learn more about mortgage refinancing.”
- “Apply Now!”
- “Lower your monthly mortgage payment today!”
When targeting, it is important to consider the right timing and messaging based upon the buying journey. Consider the time span and number of shopping activities demonstrated (# of days & # of events) in your engagement strategy.
MORTGAGE / HELOC
Mortgage HELOC intent data in AudienceMaker enables users to identify, analyze and engage with customers and consumer prospects that are in-market for a home equity line of credit as identified via online shopping cues.
Mortgage HELOC intent data is updated daily and includes the number of shopping activities (site visits, etc.) the customer or consumer has demonstrated within the corresponding time frame.
In AudienceMaker, the MORTGAGE / HELOC subgroup consists of five data attributes as outlined in the following table:
| DATA GROUP | DATA SUBGROUP | ATTRIBUTE / WIDGET NAME | GUI TYPE | ATTRIBUTE DESCRIPTION |
|---|---|---|---|---|
| INTENT DATA | MORTGAGE / HELOC | MORTGAGE HELOC EVENTS – YESTERDAY | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH MORTGAGE HELOC PARTNER SITES TRACKED YESTERDAY |
| INTENT DATA | MORTGAGE / HELOC | MORTGAGE HELOC EVENTS – LAST 7 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH MORTGAGE HELOC PARTNER SITES TRACKED LAST 7 DAYS |
| INTENT DATA | MORTGAGE / HELOC | MORTGAGE HELOC EVENTS – LAST 30 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH MORTGAGE HELOC PARTNER SITES TRACKED LAST 30 DAYS |
| INTENT DATA | MORTGAGE / HELOC | MORTGAGE HELOC EVENTS – LAST 60 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH MORTGAGE HELOC PARTNER SITES TRACKED LAST 60 DAYS |
| INTENT DATA | MORTGAGE / HELOC | MORTGAGE HELOC EVENTS – LAST 90 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH MORTGAGE HELOC PARTNER SITES TRACKED LAST 90 DAYS |
Relevant Messaging for Mortgage HELOC Purchasers.
Messaging may speak directly to the features and benefits of home equity line of credit products and/or complimentary products or services that may be relevant to individuals in-market for a mortgage.
Examples include:
- “Need a loan? Consider a Home Equity Line of Credit!”
- “If you have equity in your home, we can help!”
- “Get the money you need quickly!”
When targeting, it is important to consider the right timing and messaging based upon the buying journey. Consider the time span and number of shopping activities demonstrated (# of days & # of events) in your engagement strategy.
MORTGAGE / REVERSE
Mortgage Reverse intent data in AudienceMaker enables users to identify, analyze and engage with customers and consumer prospects that are in-market for reverse mortgages as identified via online shopping cues.
Mortgage Reverse intent data is updated daily and includes the number of shopping activities (site visits, etc.) the customer or consumer has demonstrated within the corresponding time frame.
In AudienceMaker, the MORTGAGE / REVERSE subgroup consists of five data attributes as outlined in the following table:
| DATA GROUP | DATA SUBGROUP | ATTRIBUTE / WIDGET NAME | GUI TYPE | ATTRIBUTE DESCRIPTION |
|---|---|---|---|---|
| INTENT DATA | MORTGAGE / REVERSE | MORTGAGE REVERSE EVENTS – YESTERDAY | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH MORTGAGE REVERSE PARTNER SITES TRACKED YESTERDAY |
| INTENT DATA | MORTGAGE / REVERSE | MORTGAGE REVERSE EVENTS – LAST 7 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH MORTGAGE REVERSE PARTNER SITES TRACKED LAST 7 DAYS |
| INTENT DATA | MORTGAGE / REVERSE | MORTGAGE REVERSE EVENTS – LAST 30 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH MORTGAGE REVERSE PARTNER SITES TRACKED LAST 30 DAYS |
| INTENT DATA | MORTGAGE / REVERSE | MORTGAGE REVERSE EVENTS – LAST 60 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH MORTGAGE REVERSE PARTNER SITES TRACKED LAST 60 DAYS |
| INTENT DATA | MORTGAGE / REVERSE | MORTGAGE REVERSE EVENTS – LAST 90 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH MORTGAGE REVERSE PARTNER SITES TRACKED LAST 90 DAYS |
Relevant Messaging for Mortgage Reverse Purchases.
Messaging may speak directly to the features and benefits of reverse mortgage products and/or complimentary products or services that may be relevant to individuals in-market for a reverse mortgage.
Examples include:
- “Are you 62 or older, own your home and need money? We can help!”
- “Convert your home equity into cash!”
- “Contact us to learn more about reverse mortgages!”
When targeting, it is important to consider the right timing and messaging based upon the buying journey. Consider the time span and number of shopping activities demonstrated (# of days & # of events) in your engagement strategy.
MORTGAGE / GENERAL
Mortgage General intent data in AudienceMaker enables users to identify, analyze and engage with customers and consumer prospects that are in-market for mortgages as identified via online shopping cues.
Mortgage General intent data is updated daily and includes the number of shopping activities (site visits, etc.) the customer or consumer has demonstrated within the corresponding time frame.
In AudienceMaker, the MORTGAGE / GENERAL subgroup consists of five data attributes as outlined in the following table:
| DATA GROUP | DATA SUBGROUP | ATTRIBUTE / WIDGET NAME | GUI TYPE | ATTRIBUTE DESCRIPTION |
|---|---|---|---|---|
| INTENT DATA | MORTGAGE / GENERAL | MORTGAGE GENERAL EVENTS – YESTERDAY | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH GENERAL MORTGAGE PARTNER SITES TRACKED YESTERDAY |
| INTENT DATA | MORTGAGE / GENERAL | MORTGAGE GENERAL EVENTS – LAST 7 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH GENERAL MORTGAGE PARTNER SITES TRACKED LAST 7 DAYS |
| INTENT DATA | MORTGAGE / GENERAL | MORTGAGE GENERAL EVENTS – LAST 30 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH GENERAL MORTGAGE PARTNER SITES TRACKED LAST 30 DAYS |
| INTENT DATA | MORTGAGE / GENERAL | MORTGAGE GENERAL EVENTS – LAST 60 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH GENERAL MORTGAGE PARTNER SITES TRACKED LAST 60 DAYS |
| INTENT DATA | MORTGAGE / GENERAL | MORTGAGE GENERAL EVENTS – LAST 90 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH GENERAL MORTGAGE PARTNER SITES TRACKED LAST 90 DAYS |
Relevant Messaging for Purchasers of Mortgages.
Messaging may speak directly to the features and benefits of general mortgage products and/or complimentary products or services that may be relevant to individuals in-market for a mortgage.
Examples include:
- “Are you looking to buy a home? We can help!”
- “Apply for a mortgage today…it’s quick and easy!”
- “We’ve got competitive mortgage rates!”
When targeting, it is important to consider the right timing and messaging based upon the buying journey. Consider the time span and number of shopping activities demonstrated (# of days & # of events) in your engagement strategy.
EDUCATION
Education intent data in AudienceMaker enables users to identify, analyze and engage with customers and consumer prospects that are in-market for post-secondary higher education as identified via online shopping cues.
Education intent data is updated daily and includes the number of shopping activities (site visits, etc.) the customer or consumer has demonstrated within the corresponding time frame.
In AudienceMaker, the EDUCATION subgroup consists of five data attributes as outlined in the following table:
| DATA GROUP | DATA SUBGROUP | ATTRIBUTE / WIDGET NAME | GUI TYPE | ATTRIBUTE DESCRIPTION |
|---|---|---|---|---|
| INTENT DATA | EDUCATION | EDUCATION EVENTS – YESTERDAY | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH EDUCATION PARTNER SITES TRACKED YESTERDAY |
| INTENT DATA | EDUCATION | EDUCATION EVENTS – LAST 7 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH EDUCATION PARTNER SITES TRACKED LAST 7 DAYS |
| INTENT DATA | EDUCATION | EDUCATION EVENTS – LAST 30 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH EDUCATION PARTNER SITES TRACKED LAST 30 DAYS |
| INTENT DATA | EDUCATION | EDUCATION EVENTS – LAST 60 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH EDUCATION PARTNER SITES TRACKED LAST 60 DAYS |
| INTENT DATA | EDUCATION | EDUCATION EVENTS – LAST 90 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH EDUCATION PARTNER SITES TRACKED LAST 90 DAYS |
Relevant Messaging for Post-Secondary Higher Education Purchasers.
Messaging may speak directly to the features and benefits of education and/or complimentary products or services that may be relevant to individuals in-market for a post-secondary higher education.
Examples include:
- “Save time and money on your college degree!”
- “Graduate faster…and for less!”
- “Explore our degrees, certificates and courses!”
When targeting, it is important to consider the right timing and messaging based upon the buying journey. Consider the time span and number of shopping activities demonstrated (# of days & # of events) in your engagement strategy.
FINANCIAL
Financial intent data in AudienceMaker enables users to identify, analyze and engage with customers and consumer prospects that are in-market for financial services and personal loans as identified via online shopping cues.
Financial intent data is updated daily and includes the number of shopping activities (site visits, etc.) the customer or consumer has demonstrated within the corresponding time frame.
In AudienceMaker, the FINANCIAL subgroup consists of five data attributes as outlined in the following table:
| DATA GROUP | DATA SUBGROUP | ATTRIBUTE / WIDGET NAME | GUI TYPE | ATTRIBUTE DESCRIPTION |
|---|---|---|---|---|
| INTENT DATA | FINANCIAL | FINANCIAL SERVICES EVENTS – YESTERDAY | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH FINANCIAL SERVICES PARTNER SITES TRACKED YESTERDAY |
| INTENT DATA | FINANCIAL | FINANCIAL SERVICES EVENTS – LAST 7 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH FINANCIAL SERVICES PARTNER SITES TRACKED LAST 7 DAYS |
| INTENT DATA | FINANCIAL | FINANCIAL SERVICES EVENTS – LAST 30 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH FINANCIAL SERVICES PARTNER SITES TRACKED LAST 30 DAYS |
| INTENT DATA | FINANCIAL | FINANCIAL SERVICES EVENTS – LAST 60 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH FINANCIAL SERVICES PARTNER SITES TRACKED LAST 60 DAYS |
| INTENT DATA | FINANCIAL | FINANCIAL SERVICES EVENTS – LAST 90 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH FINANCIAL SERVICES PARTNER SITES TRACKED LAST 90 DAYS |
Relevant Messaging for Purchasers of Financial Services & Personal Loans.
Messaging may speak directly to the features and benefits of financial services / personal loan products and/or complimentary products or services that may be relevant to individuals in-market for financial services and/or a personal loan.
Examples include:
- “Get the money you need fast!”
- “We can help you when cash is short.”
- “See why people who need cash work with us!”
When targeting, it is important to consider the right timing and messaging based upon the buying journey. Consider the time span and number of shopping activities demonstrated (# of days & # of events) in your engagement strategy.
HOME SERVICES
Home Services intent data in AudienceMaker enables users to identify, analyze and engage with customers and consumer prospects that are in-market for home services and home solar energy as identified via online shopping cues.
Home Services intent data is updated daily and includes the number of shopping activities (site visits, etc.) the customer or consumer has demonstrated within the corresponding time frame.
In AudienceMaker, the HOME SERVICES subgroup consists of five data attributes as outlined in the following table:
| DATA GROUP | DATA SUBGROUP | ATTRIBUTE / WIDGET NAME | GUI TYPE | ATTRIBUTE DESCRIPTION |
|---|---|---|---|---|
| INTENT DATA | HOME SERVICES | HOME SERVICES EVENTS – YESTERDAY | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH HOME SERVICES PARTNER SITES TRACKED YESTERDAY |
| INTENT DATA | HOME SERVICES | HOME SERVICES EVENTS – LAST 7 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH HOME SERVICES PARTNER SITES TRACKED LAST 7 DAYS |
| INTENT DATA | HOME SERVICES | HOME SERVICES EVENTS – LAST 30 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH HOME SERVICES PARTNER SITES TRACKED LAST 30 DAYS |
| INTENT DATA | HOME SERVICES | HOME SERVICES EVENTS – LAST 60 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH HOME SERVICES PARTNER SITES TRACKED LAST 60 DAYS |
| INTENT DATA | HOME SERVICES | HOME SERVICES EVENTS – LAST 90 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH HOME SERVICES PARTNER SITES TRACKED LAST 90 DAYS |
Relevant Messaging for Purchasers of Home Services & Home Solar Energy.
Messaging may speak directly to the features and benefits of home services and/or home solar energy products and/or complimentary products or services that may be relevant to individuals in-market for home services and/or home solar energy products.
Examples include:
- “Save money and the environment with Solar!”
- “Call for a free quote!”
- “Financing options available, call us today!”
When targeting, it is important to consider the right timing and messaging based upon the buying journey. Consider the time span and number of shopping activities demonstrated (# of days & # of events) in your engagement strategy.
HOME BUYERS
Home Buyers intent data in AudienceMaker enables users to identify, analyze and engage with customers and consumer prospects that are in-market for a new home as identified via online shopping cues.
Home Buyers intent data is updated daily and includes the number of shopping activities (site visits, etc.) the customer or consumer has demonstrated within the corresponding time frame.
In AudienceMaker, the HOME BUYERS subgroup consists of five data attributes as outlined in the following table:
| DATA GROUP | DATA SUBGROUP | ATTRIBUTE / WIDGET NAME | GUI TYPE | ATTRIBUTE DESCRIPTION |
|---|---|---|---|---|
| INTENT DATA | HOME BUYERS | HOME BUYERS EVENTS – YESTERDAY | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH HOME BUYERS PARTNER SITES TRACKED YESTERDAY |
| INTENT DATA | HOME BUYERS | HOME BUYERS EVENTS – LAST 7 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH HOME BUYERS PARTNER SITES TRACKED LAST 7 DAYS |
| INTENT DATA | HOME BUYERS | HOME BUYERS EVENTS – LAST 30 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH HOME BUYERS PARTNER SITES TRACKED LAST 30 DAYS |
| INTENT DATA | HOME BUYERS | HOME BUYERS EVENTS – LAST 60 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH HOME BUYERS PARTNER SITES TRACKED LAST 60 DAYS |
| INTENT DATA | HOME BUYERS | HOME BUYERS EVENTS – LAST 90 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH HOME BUYERS PARTNER SITES TRACKED LAST 90 DAYS |
Relevant Messaging for Home Buyers.
Messaging may speak directly to the features and benefits of buying a home and/or complimentary products or services that may be relevant to individuals in-market for a home.
Examples include:
- “Shopping for a new home? We can help!”
- “Make sure you have everything you need when you’re shopping for a new home!”
- “Buying a home can be tricky, we’re here for you!”
When targeting, it is important to consider the right timing and messaging based upon the buying journey. Consider the time span and number of shopping activities demonstrated (# of days & # of events) in your engagement strategy.
EMPLOYMENT
Employment intent data in AudienceMaker enables users to identify, analyze and engage with customers and consumer prospects that are in-market for a employment as identified via online shopping cues.
Employment intent data is updated daily and includes the number of shopping activities (site visits, etc.) the customer or consumer has demonstrated within the corresponding time frame.
In AudienceMaker, the EMPLOYMENT subgroup consists of five data attributes as outlined in the following table:
| DATA GROUP | DATA SUBGROUP | ATTRIBUTE / WIDGET NAME | GUI TYPE | ATTRIBUTE DESCRIPTION |
|---|---|---|---|---|
| INTENT DATA | EMPLOYMENT | EMPLOYMENT EVENTS – YESTERDAY | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH EMPLOYMENT PARTNER SITES TRACKED YESTERDAY |
| INTENT DATA | EMPLOYMENT | EMPLOYMENT EVENTS – LAST 7 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH EMPLOYMENT PARTNER SITES TRACKED LAST 7 DAYS |
| INTENT DATA | EMPLOYMENT | EMPLOYMENT EVENTS – LAST 30 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH EMPLOYMENT PARTNER SITES TRACKED LAST 30 DAYS |
| INTENT DATA | EMPLOYMENT | EMPLOYMENT EVENTS – LAST 60 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH EMPLOYMENT PARTNER SITES TRACKED LAST 60 DAYS |
| INTENT DATA | EMPLOYMENT | EMPLOYMENT EVENTS – LAST 90 DAYS | COUNT | NUMBER OF SHOPPING ACTIVITIES WITH EMPLOYMENT PARTNER SITES TRACKED LAST 90 DAYS |
Relevant Messaging for Employment / Job Seekers.
Messaging may speak directly to the features and benefits of working for a new employer and/or complimentary products or services that may be relevant to individuals in-market for a new employment.
Examples include:
- “Looking for a new job? We can help!”
- “Are you thinking about changing careers, contact us!”
- “Not feeling valued in your current job? We have something for you!”
When targeting, it is important to consider the right timing and messaging based upon the buying journey. Consider the time span and number of shopping activities demonstrated (# of days & # of events) in your engagement strategy.