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Case Study Roadshow

Case Study Roadshow. 2013 V12 Group Digital Group. Multi-source file: response & compiled data. 128 Million Phone Records. Over 260 Specific Data Fields. 67 Million ePostal Records. 110 Million US Households. 1,000 Census Variables (ZIP & CRRT level). V12 Group Data.

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Case Study Roadshow

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  1. Case Study Roadshow 2013 V12 Group Digital Group

  2. Multi-source file: response & compiled data • 128 Million Phone Records • Over 260 Specific Data Fields • 67 Million ePostal Records • 110 Million US Households • 1,000 Census Variables (ZIP & CRRT level) V12 Group Data V12 Group categorizes the data into nine categories. With over 330audience 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

  3. V12 Group’s Featured Case Studies • Education • Insurance • Wireless • Retail • Finance • Travel • Automotive • PYCO Personality FINANCE AUTOMOTIVE DEMOGRAPHICS TRAVEL SPORTS & FITNESS PYCO PERSONALITY LIFESTYLE & PURSUITS BUYERS ENTERTAINMENT

  4. Education Case Study 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’s data was the third highest converting data provider out of 17 data providers • V12 Group’s CTR was .15% • V12 Group’s segments indexed at 183% over data provider average PERFORMANCE GRAPH: % Index on Conversion

  5. Insurance Case Study 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 PERFORMANCE GRAPH: % Index on Conversion

  6. Wireless Case Study 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 PERFORMANCE GRAPH: % Index on Conversion

  7. 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.

  8. Retail Case Study 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 DATA SEGMENT MIX

  9. 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.

  10. 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

  11. 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

  12. 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

  13. By Brand By Class 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

  14. 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

  15. 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

  16. 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.

  17. 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.

  18. 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.

  19. PYCO Personality Case Study • 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 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 DATA SEGMENT MIX

  20. 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

  21. 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

  22. 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

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