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Case Study Roadshow. V12 Group Digital Group. Multi-source file of response & compiled data. 128 Million Phone Records. 1,000 Census Variables (ZIP & CRRT level). Over 260 Specific Data Fields. 67 Million ePostal Records. 110 Million US Households. V12 Group Data.

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case study roadshow

Case Study Roadshow

V12 Group Digital Group

v12 group data

Multi-source file of response & compiled data

  • 128 Million Phone Records
  • 1,000 Census Variables (ZIP & CRRT level)
  • Over 260 Specific Data Fields
  • 67 Million ePostal Records
  • 110 Million US Households
V12 Group Data

V12 Group categorizes the data into nine categories. With over 330+ audience segments, V12 Group can help you reach the most relevant online audience or combine segments to create custom profiles.

Built from more than 40 compiled and proprietary data sources, V12 Group ensures accurate targeting.

  • 208 Million Consumer Records

V12 Group Quick Offline Database Facts

v12 group case studies featured
V12 Group Case Studies Featured
  • Education
  • Insurance
  • Wireless
  • Retail
  • Finance
  • Travel
  • Automotive
  • PYCO Personality

FINANCE

AUTOMOTIVE

DEMOGRAPHICS

TRAVEL

SPORTS & FITNESS

PYCO PERSONALITY

ENTERTAINMENT

LIFESTYLE & PURSUITS

BUYERS

education case study
Education Case Study

PERFORMANCE GRAPH: % Index on Conversion

Accredited Higher Education Provider Leverages V12 Group’s Data to Drive Conversions

CHALLENGE

An online education provider looking to reach 18-34 year olds to visit site and register to receive information about enrollment.

SOLUTION

Demographics: Home Owners, Renters, Age Range: 18-34

METRIC

  • Conversions

RESULTS

  • V12 Group data was the third highest converting data provider out of 17 data providers
  • V12 Group CTR was .15%
  • V12 Group segments indexed at 183% over data provider average
insurance case study
Insurance Case Study

PERFORMANCE GRAPH: % Index on Conversion

Fortune 500 Mortgage Insurance Provider Leverages V12 Group’s Data to Drive Conversions

CHALLENGE

Long Term Care Insurance provider turns to audience targeting to drive new visitors to site to sign up for new life insurance.

SOLUTION

Lifestyles & Pursuits > Presence of Elderly Parent

METRIC

  • Conversion

RESULTS

  • V12 Group data was the second highest converting data set out of 17 data providers
  • V12 Group CTR was .036%
  • V12 Group segments indexed at 1593% over data provider average
wireless case study
Wireless Case Study

PERFORMANCE GRAPH: % Index on Conversion

Eighth Largest Wireless Provider Leverages V12 Group’s Data to Drive Conversions

CHALLENGE

Top 10 largest wireless provider in the US looking to drive new visitors to site to sign up for new phone and data services.

SOLUTION

Demographics, Ethnicity: Asians, Hispanics

METRIC

  • Conversions

RESULTS

  • V12 Group data was the third highest converting data provider out of 17 data providers
  • V12 Group CTR was .6%
  • V12 Group segments indexed at 1110% over data provider average
retail case study
Retail Case Study

A leading natural food retailer was introducing a new herbal energy drink and wanted to run a direct response test campaign.

CHALLENGE

The retailer’s goal was to drive sales of the new product within their target demographic and send visitors to their site to subscribe to their email list for product information and updates on local events.

SOLUTION

Using V12 Group’s highly targeted offline data segments. The retailer was able to identify qualified prospects based on their research and focus groups. For the 45-day test campaign, the retailer tested rich media & interactive 728x90 ads across premium media.

RESULTS

  • The retailer’s return on ad spend was 438% over the course of the campaign.
retail case study1
Retail Case Study

DATA SEGMENT MIX

DATA SOURCE INFORMATION

  • Sports > Healthy Living
  • Sports > Fitness
  • CPG Buyers > Diet & Weight Loss Products

METRIC

  • CTR: 3%
  • Ad Engagement: 14%
  • CPA: Compared to RON campaign, V12 Group’s strategy and data targeting reduced the retailer’s CPA from $14.69 before V12 Group data targeting to $1.94 over the 45-day campaign

V12 GROUP DATA SEGMENTS

  • Sports > Healthy Living: 55,647,000
  • Sports > Fitness: 17,309,200
  • CPG Buyers > Diet & Weight Loss Products: 23,303,550
finance case study
Finance Case Study

A leading mortgage company that provides Jumbo Mortgages for home loans in excess of $650,000.

CHALLENGE

The goal of this campaign was to increase the effectiveness of their display advertising budget by increasing engagement and decreasing the Cost Per Lead (CPL) on the back-end. The client wanted to specifically reach consumers who would likely benefit from refinancing options for high value home loans.

SOLUTION

The campaign targeted consumers online, with offline data attributes that indicated that they were qualified candidates for refinancing their existing Jumbo loan.

RESULTS

  • Reduced the Advertiser’s RON CPA from $51.88 before V12 Group data targeting to $23.71 over the 90-day campaign.
finance case study1
Finance Case Study

DATA SEGMENT MIX

DATA SOURCE INFORMATION

• Finance > Income > $175k+

• Finance > Wealth Deciles 7 - 9

• Demographics > Home Owner

• Demographics > 3 years+

• Demographics > Median Home Value 500k+

METRIC

• Banner CTR: 3%

• Ad Engagement Rate: 11%

V12 GROUP DATA SEGMENTS

  • Finance > Income > $175K+: 4,632,160
  • Finance > Wealth Deciles 789: 21,222,520
  • Demographics > Home Owner: 172,109,0400
  • Demographics > 3 years+: 131,207,520
  • Demographics > Median Home Value $500k+: 7,036,290
travel case study
Travel Case Study

A leading ski resort that wanted to increase awareness and bookings for their summer travel packages, including spa, fine dining, and kayaking specials.

CHALLENGE

The region’s tourism board wanted to specifically target US-based consumers to raise the visibility of the regions summertime offering and show a quantifiable increase in bookings from May thru October.

SOLUTION

Targeting known online leisure travelers, the client used audience-specific creative to showcase the wide variety of travel packages. Using a combination of five distinct audience segments and premium media, the client increased awareness and drove new reservations for their summer travel season.

RESULTS

  • Data targeting campaign outperformed comparable RON campaigns by over 550%
  • Client increased spa vacation bookings by 44%
  • Client increased retargeting pool by 18% by leveraging visitors who completed online form
travel case study1
Travel Case Study

DATA SOURCE INFORMATION

  • Travel > Leisure Travel
  • Finance > Wealth Deciles > 3-9
  • Sports & Fitness > Golf
  • Demographic > Age > 35-65 years old

METRIC

  • CTR: 4.1%
  • Ad Engagement: 17.6%

V12 GROUP DATA SEGMENTS

  • Travel > Leisure Travel: 59,329,040
  • Finance > Wealth Deciles > 3-9: 129,175,680
  • Sports & Fitness > Golf: 17,387,520
  • Demographic > Age > 35-65 years old: 22,530,000

DATA SEGMENT MIX

automotive data

By Class

By Brand

Aftermarket

By Age

In Market Predictor

Vehicle Budget Range

Automotive Data

V12 Group’s automotive data is a subset of our offline consumer database covering 110 million US households. Our automotive data is comprised of over 130 million offline vehicle records, all matched at the household level.

The 100% privacy compliant file is compiled from a

proprietary collection of automotive services, including:

  • Parts Providers
  • Driver Statistics
  • Public Records
  • Government Sources
  • Warranties
  • Vehicle Maintenance
  • Title Services
  • Insurance
  • Manufacturer’s Promotions
automotive case study
Automotive Case Study

American automotive manufacturer released a new Crossover model for 2013.

CHALLENGE

Automotive manufacturer looking to target customers interested in a crossover vehicle. Goal of the campaign was to drive potential customers to online brochure and request a test-drive at a local dealer.

SOLUTION

Completed a 90-day campaign leveraging rich media 728x90, 300x250 & 468x60 across premium media and targeting the associated V12 Group automotive segments.

RESULTS

  • 20 times more likely to click on the targeted ads.
  • During the first month of the campaign, the auto retailer saw a 57% increase in unique users over the previous 90 days before campaign launch.
  • The auto maker website received a 21% growth in email leads and phone leads increased by 63% during the first month of the campaign
automotive case study1
Automotive Case Study

DATA SOURCE INFORMATION

  • Auto Class > Crossover Owner
  • Auto Class > SUV Owner
  • Auto Class > Truck Owner
  • Auto Class > Luxury
  • In-Market Predictor > SUV

METRIC

  • CPA

V12 GROUP DATA SEGMENTS

  • Auto Class > Crossover Owner: 1,071,200
  • Auto Class > SUV Owner: 5,347,500
  • Auto Class > Truck Owner: 4,598,640
  • Auto Class > Luxury: 2,923,760
  • In-Market Predictor > SUV: 3,657,400

DATA SEGMENT MIX

pyco personality data
PYCO Personality Data

When demographics alone aren't enough.

1,500 pages of complex algorithmic code. 320 discrete data points. 16 unique personality segments. It all adds up to a revealing look at customers and prospects that goes light-years beyond demographics.

PYCO Personality Profiles use a proprietary process that pairs a consumer’s name and postal address with hundreds of different data points to assign a highly accurate personality type.

Is your prospect an Introvert? The type of buyer who makes methodical and fiscally responsible purchases. Or, are they an Extravert? One who enjoys being the center of attention and invests in luxury goods and services? With these types of “deep-dive” insights, advertisers' are boosting ad engagement, tailoring creative and ultimately converting more users into customers.

Together, PYCO and V12 Group give you the tools to understand emotional trigger points, improve predictive modeling and hone your campaigns for maximum impact.

pyco personality types for iconic figures
PYCO: Personality Types for Iconic Figures

Julius Caesar

ENTJ

Generals

Frank & decisive & they assume leadership readily. Quick at seeing illogical & inefficient procedures & policies, and they develop and implement comprehensive systems to solve problems.

Barak Obama

ENTP

Inventors

Quick, ingenious, stimulating, alert & outspoken.

Resourceful in solving new & challenging problems.

Donald Trump

ESTP

Persuaders

Take a pragmatic approach &focus on immediate results. Theories & conceptual explanations bore them– they want to act energetically to solve the problem.

Albert Einstein

INTP

Builders

Seek to develop logical explanations for everything that interests them. Theoretical & abstract, interested more in ideas then in social interaction.

pyco personality case study
PYCO Personality Case Study

Niche luxury retailer was to release leather goods, handbags and accessories collection at a more moderate price point.

CHALLENGE

Reach middle to high-income female shoppers who were brand conscious, luxury buyers.

SOLUTION

By running an A/B split test we were able to leverage V12 Group’s PYCO Personality Data and target consumers who were known brand buyers based on their PYCO Personality score up against a selection of V12 Group segments, including higher income, luxury, and who were known offline apparel shoppers.

RESULTS

  • The retailer’s return on ad spend was 290% over the course of the campaign.
pyco personality case study1
PYCO Personality Case Study

DATA SOURCE INFORMATION

  • PYCO > Information Gathering > Feelers(S/F: Sensing/Feeling)
  • Lifestyles & Pursuits > Luxury Lifestyle
  • Entertainment > Reads Fashion
  • Buyer > Female Apparel Buyers
  • Income > $80k+

METRIC

  • PYCO CTR: 5.2%
  • V12 Group CTR: 2.8%
  • Ad Engagement: 10.6%
  • CPA: Compared to RON campaign, V12 Group’s Strategy and data targeting reduced the retailer’s CPA from $94.13 before V12 Group data targeting to $37.41 over the 45-day campaign
  • V12 GROUP DATA SEGMENTS
  • PYCO > Information Gathering > Feelers: 40,446,500
  • Lifestyle & Pursuits > Luxury Lifestyle: 22,445,500
  • Entertainment > Reads Fashion: 9,577,200
  • Buyer > Female Apparel Buyers: 40,471,600
  • Income > $80k: 26,447, 360

DATA SEGMENT MIX

2013 taxonomy
2013 Taxonomy

Mail Order Buyers

Male Apparel Buyer

Mail Order Children’s Products

Mail Order Clothing Buyer

Mail Order Cosmetics Buyer

Mail Order DVD Buyer

Opportunity Seeker/Self

Improvement Enthusiasts

Pet Buyer

Sweepstakes/Contest

Consumer Electronics Buyers

Diet & Weight Loss Buyers

Video Game Buyers

Computer Game Buyers

Health & Beauty Products

Buyers

Home Furnishings Buyers

Jewelry Buyers

Plus Size Clothing Buyers

ENTERTAINMENT

Avid Readers

Entertainment Enthusiasts

Music

Read Fashion

Read Medical/Health

Read People/Entertainment

Read Sports

Read World News/Politics

Interest in Cooking

Satellite TV Owners

AUTOMOTIVE

Cars

Motor Cycle

RV Own

Truck Owner

Auto Enthusiasts

Acura

Audi

BMW

Buick

Cadillac

Chevrolet

Chevrolet Truck/ SUV

Chrysler

Dodge

Dodge Truck/SUV

Ford

Ford Truck /SUV

GMC

Honda

Hummer

Hyundai

Infiniti

Isuzu

Jaguar

Jeep

Kia

Land Rover

Lexus

Lincoln

Mazda

Mercedes Benz

Mercury

Mini

Mitsubishi

Nissan

Oldsmobile

Plymouth

Pontiac

Porsche

Saab

Saturn

Subaru

Suzuki

Toyota

Volkswagen

Volvo

By Class

Crossover

Full Size Car

Full Size SUV

Full Size Truck

Full Size Van

Mid Size Car

Mid Size Truck

Minivan

Small Car

Small SUV

Small Truck

Luxury

Hybrid

By Age

0 - 3 Years Old

4 - 5 Years Old

6+ Years Old

Vehicle Budget Ranges

< $20k

$20k - $29k

$30k - $39k

$40k - $49k

$50k - $74k

$75k +

In Market Predictor

Crossover

Full Size Car

Full Size SUV

Full Size Truck

Full Size Van

Mid Size Car

Mid Size Truck

Minivan

Small Car

Small SUV

Small Truck

Luxury

Aftermarket

Auto Aftermarket Buyers

Do-it-for-me

BUYERS

Book Buyer

Female Apparel Buyer

Food Buyer

Home Décor Buyer

Home Improvement Buyer

Internet Buyer

Magazine Buyer

FINANCE

Income Range <$30K

Income Range $30K-$60K

Income Range $61K-$100K

Income Range >$100K

Debit Card Holder

Credit Card Holder

Investments/Retirement Plans

Retail Card Holder

Wealth 0- Lowest Decile

Wealth 1- 9th Decile

Wealth 2- 8th Decile

Wealth 3- 7th Decile

Wealth 4- 6th Decile

Wealth 5- 5th Decile

Wealth 6- 4th Decile

Wealth 7- 3rd Decile

Wealth 8- 2nd Decile

Wealth 9- Top Decile

SPORTS & FITNESS

Baseball

Basketball

Fitness

Football

Golf

Great Outdoors

Healthy Living

Nascar

Running

Scuba Diving

Snow Skiing

Sporting Interest

2013 taxonomy1
2013 Taxonomy

Median Home Value 201K-300K

Median Home Value 301K-400K

Median Home Value 401K-500K

Median Home Value 501K-750K

Median Home Value 750K-Up

Occupation - Blue Collar, Health

Services, Management, Retired,

Sales/Marketing, Self-Employed,

Technical, White Collar, Work From

Home

Religion B-Buddhist

Religion C-Catholic

Religion I-Islamic

Religion J-Jewish

Religion P-Protestant

Lifestage A - Elders (80+)

Lifestage B - Silent Generation (64-79)

Lifestage C - Baby Boomers (55-63)

Lifestage D - Jonsers (43-54)

Lifestage E – Gen-X (27-42)

Lifestage F – Gen-Y / Millenials (18-26)

PYCO PERSONALITY PROFILES

Energy Type: Extravert/Introvert

Information Type: Sensing/Intuitive

Decision Type: Thinking/Feeling

Lifestyle Type: Judging/Perceiving

Information Gathering: Rational,

Thinkers, Feelers, Idealists

Personality Type: Generals,

Strategists, Inventors, Builders,

Supervisors, Inspectors, Persuaders,

Operators, Supporters, Defenders,

Entertainers, Artists, Mentors,

Counselors, Advocates, and Dreamers

Family Position F-Female Head Of Household

Family Position G-Grandmother

Family Position H-Husband

Family Position M-Male Head Of

Household

Family Position P-Grandfather

Family Position W-Wife

Gender F-Female

Gender M-Male

Home Owner P-Probable Home

Owner

Home Owner R – Renter

Home Owner Y - Home Owner

Income Range: A < $10K

Income Range: B $10K-$19.9K

Income Range: C $20K-$29.9K

Income Range: D $30K-$39.9K

Income Range: E $40K-$49.9K

Income Range: F$50K-$59.9K

Income Range: G $60K-$69.9K

Income Range: H $70K-$79.9K

Income Range: I$80K-$89.9K

Income Range: J $90K-$99.9K

Income Range: K $100K-$149.9K

Income Range: L $150K - $174.9K

Income Range: M$175K-$199.9K

Income Range: N $200K-$249.9K

Income Range: O$250K+

Length Of Residence: < 3 Yrs

Length Of Residence: 3 - 5 Yrs

Length Of Residence: 6-9 Yrs

Length Of Residence: 10 - 14 Yrs

Length Of Residence: 15+

Median Home Value 0-100K

Median Home Value 101K-200K

LIFESTYLE & PURSUITS

Children In Household Age 0_3

Children In Household Age 4_6

Children In Household Age 7_9

Children In Household Age 10_12

Children In Household Age 13_18

Children/Presence In Household

Family Interests/Activities

Presence Of Grandchildren less

than 12 Years Old

Luxury Life

Political Affiliation – Democrat

Political Affiliation – Republican

Presence Of Elderly Parent

Veteran In Household

Voter Indicator

Arts & Craft

Collectors

Contributor/Charitable Donation:

Animal, Children, Environment, Health,

Political, Religious, Veterans, Donations

Do It Yourselfer

Gardening

Hobby Self Improvement

Hobbyists

Home Study Courses

Online Education

Interest in Photography

Interest in Wine Appreciation

Read Cooking / Culinary

Read Interior Decorating

Read Natural Health

Small Office / Home Office Employees

Green Eco Living (broad)

Green Eco Living (precise)

TRAVEL

Casino Gambling

Leisure Travel

Travel Business

Travel Cruises

Travel Personal

High End Travel

Travel Rewards Card Holder

International Traveler

DEMOGRAPHICS

# Of Adults In Household: 1-1

# Of Adults In Household: 2-2

# Of Adults In Household: 3-3

# Of Children In Household: 0-No Child

# Of Children In Household: 1-1

# Of Children In Household: 2-2

# Of Children In Household: 3-3

Total # In Household: 1-1 Person

Total # In Household: 2-2 Persons

Total #In Household: 3-3 Persons +

Age Range: 18–24, 25–29, 30–34, 35–39,

40–44, 45–49, 50–54, 55–59, 60–64,

65–69, 70–74, 75–79, 80+

Dwelling Type Multi-Family Dwelling

Dwelling Type Single Family Dwelling

Education 1 - High School

Education 2 - Some College

Education 3 - College Graduate

Education 4 - Graduate School

Ethnicity A = Asian

Ethnicity B = African American

Ethnicity E = Arab

Ethnicity H = Hispanic

Ethnicity I = American Indian

Ethnicity W = Caucasian

why v12 group
Why V12 Group?
  • Over 80+ million unique US consumers each month connected to V12 Group’s accurate online audience segments
  • V12 Group owns all data, allowing the availability to cleanse & update monthly
  • Provides full transparency on how data is sourced for all 330+ audience segments
  • PYCO personality data
  • Offline triple verification process ensuring accurate data is attached to the cookie
  • Database meets all DMA privacy, security compliances and is fully CAN-SPAM compliant
  • NCOA, deceased scrub, address standardization, and CASS qualified

Top Performing Verticals

  • Travel
  • Finance
  • Lifestyle and Pursuits
  • PYCO Personality Profiles

FOR MORE INFORMATION:

P: 1-866-842-1001

E: digital@v12groupinc.com