Why Targeting Smart
Digital-driven Education Institution Marketing
Imagine.... If you could put your digital ads in front of only those students who may be interested in attending your college or university.
Including education marget segments: Colleges, Universities (both inline and online), and Trade Schools.
Higher Education Education Trends
Annual college closures may increase as enrollment at higher education institutions continues to decline, according to a Federal Reserve Bank of Philadelphia report.
If enrollment at universities continues its downward trend, as many as 80 additional colleges may be forced to shut down, according to a December report published by the Federal Reserve Bank of Philadelphia. Recent data shows freshman college enrollment has reached its lowest point since the pandemic, declining by over 5%.
These days, many young people may wonder if they would be better served by striking out on their own than pursuing a college education. In this rapidly evolving digital era, narratives of instantaneous success and entrepreneurial grandeur have flooded our social media feeds, luring the digital natives of Gen Z into questioning the worth of what is often an expensive traditional college degree.
Meanwhile, the number of students enrolled at vocational schools rose 16% in 2023, and those training to become construction workers increased by 23%, according to The Wall Street Journal.
Unlocking Campaign Success: The Power of Data.
Our team of investigators have opined that creative ad designs used by schools are adequate; meaning the look and feel to grab the attention of viewers.
However, when it comes to developing a digital-driven ad campaign, it pays to have the right information.
With so many advertising options out there today it’s important to focus your ad dollars on only those people who are most likely to be in search of a college to attend either in-person or online.
The major problem reported however, revolves around reaching the correct target audience in order to minimize wasted ad spend. Example, while the John Hopkins ad is eye catchy, it was flagged by one of our observers (a 75 year old retired female). Obviously, not the intended audience (wasted $).
Time and time again, colleges and universities rely on in-house means either in terms of graphics and/or ad delivery. There is little research in terms of targeting options relying on Google or LinkedIn AI programs for targeting never knowing who actually saw the ad (an impression, just that it was delivered)...
Learn more about targeting by clicking on the database link below.
Example of ad waste. This ad was seen without regard for age.
Selectable Database Field Attributes
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GEOGRAPHY Street State County City Postal Code MARITAL STATUS, AGE AND LIFESTAGE Gender Marital Status Year of Birth Full Date of Birth Age (banded) Partner’s Year of Birth Partner’s Full Date of Birth Individual’s Lifestage–Age Driven Household Level Lifestage–Age Driven Individual’s Lifestage–Family Status Driven Household Lifestage–Family Status Driven Young Adult Still Living at Home Number of Young Adults Still Living at Home PRESENCE OF CHILDREN Parent Status Dependent Children in Household Number of Children at Home (0-21 Years) Number of Children in the Household Aged 00-10 Number of Children in the Household Aged 00-16 Number of Children in the Household Aged 11-16 Number of Children in the Household Aged 17-21 Child at Home 0-4 Years Old Child at Home 5-7 Years Old Child at Home 8-10 Years Old Child at Home 11-16 Years Old Child at Home 17-21 Years Old Age of Eldest Child Age of Eldest Child in Household Age of Youngest Child Age of Youngest Child in Household Children’s Year of Birth HOUSEHOLD COMPOSITION Head of Household Indicator Household Size–Number of Adults in Household Total Household Size (Adults and Children) Summary Household Composition Detailed Household Composition HOME AND PROPERTY Home Ownership Status How Many Times Homebuyer (1st, 2nd, 3rd+ Home) Year Moved to Address Length of Residence (Banded) Month Moved into Current Home Year Current Household Moved Into the Address Household Length of Residence (Banded) Type of Property Number of Bedrooms Date Home Built OCCUPATION AND EMPLOYMENT MEASURES Individual’s Occupation Partner’s Occupation Individual’s Employment Status Partner’s Employment Status Self Employed Partner is Self Employed Run Business From Home (You) Run Business From Home (Partner) Individual or Partner is Professional/Manager Individual or Partner is Educational/Medical Individual or Partner is Office/Clerical/Shopworker Individual or Partner is Craftsman/Tradesman Individual or Partner is Manual/factory worker Individual or Partner is Self Employed Individual or Partner is Housewife Individual or Partner is Retired Individual or Partner is Student Number of Students in Household INCOME AND AFFLUENCE MEASURES Combined Annual Household Income Equivalised Income Equivalised Household Income Indexed to US Average Net Household Income Per Week (Banded) Net Household Income Per Week Indexed to US Average Discretionary Household Income Per Week (Banded) Dual Income No Kids Yet Affluence Ranking Household Affluence Ranking Lifestage by Affluence Household Level Lifestage by Affluence Household Socio Economic Classification Individual Has an Earning Occupation Partner has an Earning Occupation Incomes Across Individual and Partner Number of earners in the household Proportion of Adults Earning Number of Unemployed in the Household Proportion Adults Unemployed Number of Non-Earning Adults in Household Household Employment Status (Based on Household’s Primary Couple) Pensioner Status (Based on Household’s Primary Couple) LIFESTYLE–REGULAR LEISURE INTERESTS Bet on Horse Racing Book Reading Charities/Voluntary Work Crossword Puzzles Current Affairs Cycling Do-It-Yourself Eating Out Fashion Clothing Fine Art/Antiques Football Foreign Travel Further Education Gardening Going to the Gym Going to the Pub Golf Gourmet Cooking Fine Foods & Wines Grandchildren Health Foods Hiking/Walking Household Pets Jogging/Physical Exercise Listening to Music National Trust Personal Computing Prize Draws & Competitions Religious Activities Snow Skiing Theatre, Cultural/Arts Events Vitamins/Food Supplements Wildlife/Environmental Concerns Non Smoking Household Cultural Pursuits Interest level Entertainment Interest level Animal/Nature Awareness level Outdoor Pursuits level TRAVEL Take European Holidays Take USA Holidays–Ranked Likelihood Take Rest of the World Holidays–Ranked Likelihood Foreign Travel as a regular hobby Snow Skiing as a regular hobby | NEWSPAPER READERSHIP Quality Newspaper Readers Mid-Market Newspaper Readers Popular Newspaper Readers Financial Times TECHNOLOGY Have a PC in the Household Have Internet Access at Home Have Internet Broadband Personal Computing as a Regular Interest Games Console Digital Camera Mobile/Music Streaming Device Have Flat Screen TV Have HD TV Pay to View TV Subscription Cable TV Satellite TV Mobile Phone Mobile Contract Payment Type (Contract/Pre-Pay) Household Technology Ranking Consumer Electronics Audience Segmentation (Spend on Technology and Motivation to Buy) Telecoms Audience Segmentation (Spend on Communication Services and Devices and Motivation to Buy) AUTOMOTIVE Motorist Bought a Car Under 3 Years Old SMMT Car Classification Age of Car Bought Car New/Used Number of Cars in Household Car Fuel Type (Petrol/Diesel) Annual Mileage INSURANCE RENEWAL Car Insurance Expiry Month Buildings Insurance Expiry Month Contents Insurance Expiry Month Changed Home Insurance Provider in Last 3 Years Level of Motor no Claims Discount FINANCE AND INSURANCE Have a Mortgage Individual/Partner has Personal Loan–Ranked Likelihood Personal Loan Individual/Partner is Credit Card Holder Household Credit Card Ownership Number of Credit Cards Have Visa/Master Card Have American Express Card Have a Store/Shop Card Have a Debit Card Private Pension–Ranked Likelihood Private Pension Regular Savings Plan–Ranked Likelihood Regular Savings Plan Child Savings Plan–Ranked Likelihood Child Savings Plan Unit Trusts/High Interest Investments Own Stocks/Shares Have an ISA Investment Activity Ranking Household Level Investment Activity Ranking Life Assurance–Ranked Likelihood Life Insurance Private Medical Insurance–Ranked Likelihood Private Medical Insurance Accident Insurance–Ranked Likelihood Accident Insurance Funeral Plan–Ranked Likelihood Funeral Plan Insurance Activity Ranking Household Level Insurance Activity Ranking Will CHARITY INTERESTS AND ACTIVITY Charities/Voluntary Work Charity Donor Ranking Household level Charity Donor Ranking Donate to Environmental/Animal/Wildlife Causes– Ranked Likelihood Donate to Animal Pet Welfare Donate to Environmental Causes Donate to Wildlife Care Donate to Global Causes–Ranked Likelihood Donate to Disaster Relief Donate to Third World Donate to Other Causes Donate to Local Causes Donate to Children’s Welfare Donate to Help the Elderly Donate to Medical Research Donate to Disabled/Handicapped Donate to Cancer Research Donate to Help the Homeless METHOD OF DONATION Contribute to Charity in the Street/at the Door Contribute to Charity by Post–Ranked Likelihood Contribute to Charity by Post Contribute by–Direct Debit Contribute by–Internet ENVIRONMENT Environment Friendly Product Levels Recycled Product Levels Green Status–Ranked Percentile CHANNEL BEHAVIOUR Probability to Buy Groceries Online–Often Probability to Buy Groceries Online–Sometimes Probability to Buy Groceries Online–Never Probability to Buy Insurance–Online Probability to Buy Insurance–in shop Probability to Buy Insurance–by phone Probability to use Internet for–Email Probability to use Internet for–Google Probability to use Internet for–eBay Probability to use Internet for–Weather News Probability to use Internet for–Price Comparison Probability to use Internet for–Social Networking Probability to use Internet for–Messaging Probability to use Internet for–Gambling/Betting Probability to use Internet for–Games Playing Probability to use Internet for–Paying Bills Probability to Research Tech Prod–Online Probability to Research Tech Prod–in shop Probability to Research Tech Prod–from Catalogue Probability to Buy Technical Prod–Online Probability to Buy Technical Prod–in Shop Probability to Buy Technical Prod–via Catalogue Probability to Use Mobile Phone for–Internet Probability to Have Freeview TV Probability to Have Satellite TV Probability to Have Cable TV Probability to Read News Online–Often Probability to Read News Online–Never Probability to Read News Online–Sometimes Probability to Book Holiday via–Internet Probability to Book Holiday via–Agent Online Purchase Frequency Online Behaviour Segments MAIL ORDER Shopping by Catalogue Interest Mail Order Frequency GROCERY SHOPPING Main Shopping Weekly Grocery Spend CHANNEL PREDICTOR Preference to Receive Marketing Communications via Email Preference to Receive Marketing Communications via Direct Mail Preference to Receive Marketing Communications via Telephone Preference to Receive Marketing Communications via Text Preference to Receive Marketing Communications via Social Networking Channel Preference Mix Segments |
