Done For You Postcard Marketing Subscription Setup Form

Thanks for enrolling in the Done-For-You Postcard Marketing subscription program. This form will walk you though setting up your program. You will provide your information, your business information and assets such as a logo, images, and color scheme. Then, you will define your offer and postcard text. Next, you will determine the audience and the target mailing size and budget. Finally, our team will design the postcard and work with you on final approval. Once approved, we will complete the configuration and start mailing your postcards.

Postcard Marketing Program Setup

Business & Contact Details
Define & Upload Your Content
Select Your Audience
Select Your Options

Business Information

Start with the basics

First Name

Last Name

Phone/Mobile

Business Name

Business Address

Address Line 1

Address Line 2

City

State

Zip Code

Country

URL

Postcard Design

This is an example of the postcard layout. The postcard measure 6" by 12" and has a pre-perforated coupon built in.

The design is 2-sided. Both sides have areas for your photos, logo, business information, and offer.

The following questions will help us design your perfect postcard.

Select one or two colors that represent your brand image. Use the color pickers below, or if you know the color code, please specify the color code in the color picker.

Color #1

Color #2

Upload Your Logo With A Transparent Background In PNG Format

Choose File

Do you have images you would like to use on your postcard? If not we will select from a library of stock images.

Yes

Upload up to 4 images you would like to use on the postcard.

Choose Files

Enter the text you would like on your postcard

Describe the offer used on the detachable coupon

List any caveats or exclusions

Valid For:

Audience Selection

In this section you will define your audience. There are a lot of options to choose from. If you choose the AI option, there is no need to select demographics but you would want to define the geography by zip code or radius.

Select your target audience size which determines the monthly costs. After submitting the form with your filters selected, we will run an analysis of the potential audience size available and then you will be able to adjust your target audience size or your filters.

Describe the customers you are trying to reach:

MonthlyTarget Audience Size

Monthly Postcard Production Cost

Which type of filters will be best for defining your audience:

Demographics

Use AI to find an audience for my offer

Zip Code

Carrier Route

Radius

New Movers - People who have recently moved

Demographic Targeting Options

Gender

Male

Female

Age Range

Total Household Income Range

Marital Status

Married

Single

Newlyweds

Yes

Home Ownership

Own/Mortgage

Rent

Dwelling Type

Single Family

Condo

Minimum Home Value

Minimum Length of Residency

Minimum Age Of Home

Household with children

Yes

New Parents

Yes

Household with pet(s)

Yes

Interests & Behaviors

Beauty Supplies Shopper

Buying A Truck

Buy Or Sell A Home

Interest in Casino Gaming

Cosmetic Surgery

Day Spa & Massage

Dental Care

Eye Care

Financial Planner

Home Furnishings

Insurance

Major Appliances

Parents

Pets

Retirement

High-End Retail

Tax Preparation

Weight Loss / Diet Control

Beauty Supplies

Likely to spend $1,000 or more on women's cosmetics in a year (TP001553)

Likely to spend $1,000 or more on women's skin care in a year (TP001554)

Likely to spend $500 or more on women's fragrance in a year (TP001559)

Buying A Truck

This element ranks the likelihood that the household may have Affinity for a New Chevrolet Truck. Financial models are built excluding data that would directly indicate age, sex, race, color, religion, national origin, marital status, or receipt of public assistance. (AP004501)

This element ranks the likelihood that the household may have Affinity for a New Ford Truck. Financial models are built excluding data that would directly indicate age, sex, race, color, religion, national origin, marital status, or receipt of public assistance. (AP004506)

This element ranks the likelihood that the household may have Affinity for a New Toyota Truck. Financial models are built excluding data that would directly indicate age, sex, race, color, religion, national origin, marital status, receipt of public assistance, Reg B MIACS , Zip level data or modeled elements. (AP004527)

This element ranks the likelihood that someone in this household currently drives other truck. (AP000278)

This element ranks the likelihood that someone in this household currently drives a heavy duty truck. (AP000285)

A propensity ranking model designed to identify businesses that may have purchased, leased or rented a truck. (AP000728)

Buy or sell a Home

This element ranks the likelihood that someone in the household plans to build or buy a home in the next twelve months. (AP004389)

This element ranks the likelihood that someone in the household plans to design or build a new home in the next twelve months. (AP004390)

This element ranks the likelihood that someone in the household plans to buy your first home in the next twelve months. (AP004391)

This element ranks the likelihood that someone in the household plans to buy a newly constructed home in the next twelve months. (AP004392)

This element ranks the likelihood that someone in the household plans to buy a pre-owned home in the next twelve months. (AP004393)

This element ranks the likelihood that someone in the household plans to buy a vacation or second home in the next twelve months. (AP004394)

This element ranks the likelihood that someone in the household plans to sell a vacation or second home in the next twelve months. (AP004403)

This ranks a household's likelihood to have a home mortgage. Financial models are built excluding data that would directly indicate age, sex, race, color, religion, national origin, marital status, or receipt of public assistance. (AP000465)

Likely to buy a pre-owned home next 12 mo. (TP000741)

Likely to buy first home next 12 mo. (TP000742)

Likely to buy a newly constructed home next 12 mo. (TP000743)

Likely shopping for a new home (TP000826)

Likely to own a second residence/weekend home/vacation property (TP001563)

Likely to sell home in the next 12 months (TP001567)

Casino Gaming Interest

Propensity ranking representing a household's likelihood to have casino gaming interest. (IBE2777)

Cosmetic Surgery

This element ranks the likelihood that someone in the household plans to Have cosmetic procedure/surgery in the next twelve months. (AP004382)

This element ranks the likelihood that someone in the household plans to Have cosmetic surgery in the next twelve months. (AP004384)

Likely to spend $500 or more on cosmetic surgery in a year (TP001556)

This element ranks the likelihood that someone in the household plans to have a cosmetic procedure (Botox, etc.) in the next twelve months. (AP004383)

Likely to spend $500 or more on cosmetic procedures (Botox, etc.) in a year (TP001555)

Day Spa & Massage

Likely to spend $1,000 or more on visits to day spas and massage therapists in a year (TP001552)

Dental Care

This ranks a consumer's likelihood to get dental health insurance. (AP001239)

Eye Care

Consumers with Likely interest in laser vision correction; modeled from social sharing, searched page visits and click-backs on shared pages. (TP000565)

This ranks a household's likelihood to purchase eyeglasses, contact lenses & sunglasses via internet/online. (AP002444)

Consumers with Likely interest in eyeglasses & contacts; modeled from social sharing, searched page visits and click-backs on shared pages. (TP000546)

Consumers with Likely interest in eye exams & optometry; modeled from social sharing, searched page visits and click-backs on shared pages. (TP000547)

Consumers with Likely interest in vision care; modeled from social sharing, searched page visits and click-backs on shared pages. (TP000550)

This ranks a household's likelihood to purchase bi-focals. (AP002437)

This ranks a household's likelihood to purchase rgp/hard contact lenses. (AP002438)

This ranks a household's likelihood to purchase soft contact lenses. (AP002439)

This ranks a household's likelihood to purchase tinted or colored contact lenses. (AP002440)

This ranks a household's likelihood to purchase disposable contact lenses. (AP002441)

This ranks a household's likelihood to purchase transition lenses sunglasses. (AP002442)

Financial Planning

Likely to employ or change financal planners next 12 months. Financial models are built excluding data that would directly indicate age, sex, race, color, religion, national origin, marital status, receipt of public assistance, Reg B MIACS , Zip level data or modeled elements. (TP001243)

Likelihood that a consumer likes to be informed before committing to a financial service, believes retirement is the responsibility of the individual and is good at saving money (TP000207)

Consumers with likely interest in retirement & pension; modeled from social sharing, searched page visits and click-backs on shared pages. (TP000556)

Likely to to open/move a non-retirement account next 12 months. Financial models are built excluding data that would directly indicate age, sex, race, color, religion, national origin, marital status, receipt of public assistance, Reg B MIACS , Zip level data or modeled elements. (TP001245)

Likely to invest in stocks, mutual funds next 12 months. Financial models are built excluding data that would directly indicate age, sex, race, color, religion, national origin, marital status, receipt of public assistance, Reg B MIACS , Zip level data or modeled elements. (TP001241)

This ranks a household's likelihood to have acquired or added to total retirement/college savings plans in the past year. Financial models are built excluding data that would directly indicate age, sex, race, color, religion, national origin, marital status, or receipt of public assistance. (AP005057)

Likely to have $2,500,000 or more in retirement accounts (TP001543)

Likely to have a regular IRA (TP001546)

Propensity to have met with a Financial Advisor or Certified Financial Planner in the past 12 months. (AP001402)

Propensity to have met with a Financial Advisor or Certified Financial Planner in the past 12 months. Financial models are built excluding data that would directly indicate age, sex, race, color, religion, national origin, marital status, or receipt of public assistance. (AP005446)

Home Furnishings

Predicts the likely discretionary spending on home furnishings in actual dollars per year. (AP004820)

Insurance

This ranks a consumer's likelihood to get disability insurance due to loss of income through medical causes . (AP001240)

This ranks a household's likelihood to have home insurance property insurance on a condominium or co-op. Financial models are built excluding data that would directly indicate age, sex, race, color, religion, national origin, marital status, or receipt of public assistance. (AP005388)

Consumers with likely interest in home insurance; modeled from social sharing, searched page visits and click-backs on shared pages. (TP000608)

This ranks a household's likelihood to carry a home insurance floater policy for jewelry or furs. (AP001139)

This ranks a household's likelihood to carry a home insurance floater policy for other personal items. (AP001141)

This ranks a household's likelihood to have carry any home insurance floater policy or additional coverage. Financial models are built excluding data that would directly indicate age, sex, race, color, religion, national origin, marital status, or receipt of public assistance. (AP001143)

This ranks a household's likelihood to carry a home insurance floater policy for collections such as antiques, coins, or etc. Financial models are built excluding data that would directly indicate age, sex, race, color, religion, national origin, marital status, or receipt of public assistance. (AP005372)

Consumers with likely interest in life insurance; modeled from social sharing, searched page visits and click-backs on shared pages. (TP000579)

Likely to purchase or switch life insurance policies over the next 12 months (TP000649)

Likely to have $1 million or more in life insurance (TP001542)

The likelihood to carry a separate term life insurance policy.. (AP001196)

The likelihood to carry a separate whole life insurance policy. (AP001197)

The likelihood to carry a combination term and whole life insurance policy . (AP001198)

The likelihood to carry a universal life insurance policy . (AP001199)

The likelihood to carry a variable life insurance policy. Financial models are built excluding data that would directly indicate age, sex, race, color, religion, national origin, marital status, or receipt of public assistance. (AP001200)

The likelihood to carry a credit life insurance policy. (AP001201)

The likelihood to obtain life insurance from a union. (AP001202)

The likelihood to obtain life insurance from a work place. (AP001203)

The likelihood to obtain life insurance from a fraternal or other membership group. (AP001204)

The likelihood to obtain life insurance from a veterans group. (AP001205)

The likelihood to obtain life insurance from a bank. (AP001206)

The likelihood to obtain life insurance along with loan, mortgage or installment payments . (AP001207)

The likelihood to obtain life insurance through an agent or broker representing many companies. (AP001208)

The likelihood to obtain life insurance through an agent representing one company. (AP001209)

The likelihood to obtain life insurance direct from insurance company in response to direct mail. (AP001210)

The likelihood to obtain life insurance direct from insurance company via phone. (AP001211)

The likelihood to obtain life insurance direct from insurance company via website. Financial models are built excluding data that would directly indicate age, sex, race, color, religion, national origin, marital status, or receipt of public assistance. (AP001212)

Propensity for a consumer to obtain personal liability insurance not included on auto and home policy. (AP001247)

Propensity for a consumer to obtain personal liability insurance not included on auto and home policy. Financial models are built excluding data that would directly indicate age, sex, race, color, religion, national origin, marital status, or receipt of public assistance. (AP005417)

Major Appliances

This ranks a household's likelihood to purchase major appliances from Lowes. (AP003023)

This ranks a household's likelihood to purchase major appliances from Home Depot. (AP003024)

This ranks a household's likelihood to purchase major appliances from Best Buy. (AP003027)

This ranks a household's likelihood to purchase major appliances from the manufacturer. (AP003028)

This ranks a household's likelihood to purchase major appliances from a hardware/home center. (AP003029)

This ranks a household's likelihood to purchase major appliances from a national chain. (AP003031)

Parents

Women in households with children aged 6 - 10 (IB7293)

Women in households with children aged 15 - 17 (IB7294)

Women in households with children aged 11 - 14 (IB7295)

This ranks a household's likelihood to have attended a public meeting on town or school affairs. (AP000650)

This element ranks the likelihood of someone in the household purchasing back-to-school items online (AP005265)

Ranks the likelihood of participating in a 529 plan (AP001443)

This ranks a household's likelihood to have any type of 529 plan (college savings plan). Financial models are built excluding data that would directly indicate age, sex, race, color, religion, national origin, marital status, or receipt of public assistance. (AP005045)

Women in households with children aged 6 - 10 (IB7293)

Women in households with children aged 11 - 14 (IB7295)

Women in households with children aged 15 - 17 (IB7294)

Pets

This element ranks the likelihood that the household bought pet food and flea control products at PetSmart (AP004707)

This element ranks the likelihood that the household bought pet food and flea control products at the veterinarian (AP004708)

Adults Likely to shop at pet store like PetSmart or Petco, visit Vets or Animal Clinics or Pet Hotels (TP000241)

Likely pet owners (TP001005)

This element ranks the likelihood that the household has a dog (AP004683)

This element ranks the likelihood that the household has a cat (AP004684)

Retirement

This element ranks the likelihood that someone in the household plans to retire in the next twelve months. (AP004405)

Likely to retire next 12 mo. (TP000748)

Likely planning retirement (TP000950)

High-End Retail

Propensity to purchase luxury brands. (AP004710)

Adults interested in luxury items such as clothes, jewelry, perfume, cars who were recently seen at Neiman Marcus, Barneys New York, Shreve & Co, Hermes, Wilkes Bashford, Bulgari etc (TP000037)

This element ranks the likelihood that someone in the household plans to buy designer collection/couturier items in the next twelve months. (AP004399)

Propensity ranking of a consumer to shop with Burberry (AP005274)

Propensity ranking of a consumer to shop with Chanel (AP005275)

Propensity ranking of a consumer to shop with Fendi (AP005276)

Propensity ranking of a consumer to shop with Giorgio Armani (AP005277)

Propensity ranking of a consumer to shop with Juicy Couture (AP005278)

Propensity ranking of a consumer to shop with Kate Spade (AP005279)

Propensity ranking of a consumer to shop with Louis Vuitton (AP005280)

Propensity ranking of a consumer to shop with Marc Jacobs (AP005281)

Propensity ranking of a consumer to shop with Michael Kors (AP005282)

Propensity ranking of a consumer to shop with Prada (AP005283)

Tax Preparation

This ranks a household's likelihood to had tax returns prepared by CPA or other tax professional last year. Financial models are built excluding data that would directly indicate age, sex, race, color, religion, national origin, marital status, or receipt of public assistance. (AP005084)

This ranks a household's likelihood to had tax returns prepared by friend or family member last year. Financial models are built excluding data that would directly indicate age, sex, race, color, religion, national origin, marital status, or receipt of public assistance. (AP005085)

This element ranks the likelihood of the household to prepare taxes using an accountant (AP005804)

This element ranks the likelihood of the household to prepare taxes using a tax preparation service (AP005805)

This element ranks the likelihood of the household to file taxes online (AP005806)

Weight Loss / Diet Control

Likelihood for a consumer to agree regarding watching diet to lose weight (TP000128)

This ranks a household's likelihood to make food selections for other reasons. (AP002545)

This ranks a household's likelihood to make food selections for maintaining weight. (AP002547)

This ranks a household's likelihood to make food selections for weight loss. (AP002550)

Likely to Watch fat intake to improve their health (TP000650)

Likely to Watch Calorie intake to improve their health (TP000651)

This ranks a household's likelihood to use Alli. (AP002281)

This ranks a household's likelihood to use Nutrisystem. (AP002282)

This ranks a household's likelihood to use South Beach Diet. (AP002283)

This ranks a household's likelihood to use Weight Watchers. (AP002284)

This ranks a household's likelihood to use Atkins diet. (AP002286)

This ranks a household's likelihood to use doctor's care/diet. (AP002287)

Target Zip Codes

Target Zip Codes Carrier Routes

Radius Selection

Address Central To Radius

Radius In Miles From Address

MoverINSIGHTS Program

Each month Rare-Media will automatically email valuable marketing and demographic information regarding your selected mailing list directly to you. This information is yours to keep, analyze and incorporate into a long-term marketing program to your audience.

Analysis

Your customized monthly report will include analytics both numerically and graphically to help you better understand your local marketplace and the demographic make-up of your new neighbors.

Up to 4 zip codes: $25/month
Additional fees for additional zip codes

Multi Touch, Multi Channel Marketing Opportunity

If you opt in to the MoverInsights report you will also gain access to additional automated marketing opportunities from Rare-Media. Our email marketing program will create and manage an email message series and drip email marketing campaign to the MoverInsights list to increase brand awareness and response rates. Rare-Media can also use the MoverInsights list in Facebook advertising to define a target audience and to create look-alike audiences.

Select The Additional Options You Are Interested In And We Will Provide A Final Quote Based On Audience Size:

Add MoverInsight Report from $25/mo

Add Email Marketing from $75/mo

Add Facebook Marketing from $75/mo plus ad spend

I have read and agree to the Terms and Conditions

Payment Information

We will take the information from the design and targeting sections of your registration and generate a "total available audience" size. If the available audience size is greater than your target audience size we will set your audience size at the number you selected. If the available audience size is smaller we can send to the smaller audience or work with you to increase the audience size.

Payment today is for the registration only. Add-on services and postcard production/mailing monthly subscription will be agreed upon after the data evaluation.

Program Registration

Price: $97.00