10:00 PM

Angela plans for the weekend by researching programs at the children’s museums and restaurant deals for date night.

W H A T W E K N O W Museums

Fine Dining, Italian Cuisine

Children, Income

Home

Tablet

I N F L U E N T I A L T O U C H P O I N T S Dynamic Postcard, Direct Mail

D AY I N T H E L I F E

T R A N S F O R M T H E W AY YOU CONNECT WITH CONSUMERSWith a comprehensive consumer view, you can pinpoint more of your ideal consumers, like Angela, and engage them with relevant messages to inspire action.

Coupon Redemptions:Vegetables, Ice Cream

Age: 25-34Gender: FemaleFamily: Has ChildrenIncome: $75-100K

Store Visits:Whole Foods, Walgreens, Starbucks

Interests:Running, Museums, College Sports, Basketball, Healthy Eating, Movies

Intent to Buy:Fine Dining, Italian Cuisine, Running Shoes

Purchase:Claritin, Revlon Lipstick, Coffee, Ben & Jerry’s, Green Giant

User ID: 123456

N E I G H B O R H O O DSuburban | Forrest Hills

H O U S E H O L D605 North St., Durham, NC 27705

D E V I C E S2 Phones | Laptop | 1 Tablet

Follow Angela throughout her day to see how her interests, browsing behaviors,

location visits, and purchasing experiences illuminate opportunities for meaningful

engagement on- and offline.

11:45 AM

Remembering her son needs allergy medicine, Angela searches her laptop for pediatric allergy medicine, then drives to the closest drug store to shop.

W H A T W E K N O W Allergies, Drugs, Medication

Lipstick, Claritin

Children, Age

Walgreens

Laptop

I N F L U E N T I A L T O U C H P O I N T S Dynamic Mobile, Display

6:30 AM

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I N F L U E N T I A L T O U C H P O I N T S

Valassis’ diverse media portfolio provides brands with an unparalleled ability to engage consumers when and where it matters. We have decades of intelligence on how consumers have responded in the past – their media and device preferences, when they respond, and where they respond. This built-in intelligence guides our media selection and optimization to achieve higher return on advertising spend (ROAS).

Email

Coupons

Mobile

1 U.S. Patent No. 8,296,180 issued on October 23, 2012

8:15 AM

At the local coffee shop, she checks the weather and how her favorite basketball team did last night, before driving to work.

W H A T W E K N O W College Sports, Basketball, Weather

Coffee

Coffee Shop, Work

Phone

I N F L U E N T I A L T O U C H P O I N T S Mobile Display, Video

Display

Video

Direct Mail

Social

Inserts

Angela grabs her phone and heads to the park for a run. Back at home, she researches new running shoes on her tablet.

W H A T W E K N O W Fitness, Running

Running shoes

Home, Park

Tablet, Phone

I N F L U E N T I A L T O U C H P O I N T S Add-to-Cart Display, Email

6:00 PM

Back at home, Angela finds a healthy, vegetarian recipe on her tablet. She clips a coupon from the FSI she received yesterday before heading to the grocery store to purchase.

W H A T W E K N O W Healthy Eating, Vegetarian Cuisine, Coupons, Discount Offers

Vegetables, Ice Cream

Income, Children, Age

Whole Foods, Home

Tablet

I N F L U E N T I A L T O U C H P O I N T S Digital Coupons, FSI

W H A T W E K N O W

L O C A T I O N S

I N T E R E S T S

I N T E N T T O B U Y

D E V I C E S

P U R C H A S E S

C O U P O N S

D E M O G R A P H I C S

L O C A T I O N + D E V I C E

Building a single consumer identity begins with mapping people and devices to place. At Valassis, we utilize advanced location mapping techniques to link an individual to a household, neighborhood, and stores for one-to-many scale. Our Artificial Intelligence (AI) models connect billions of consumer intent and location signals and analyze behavioral patterns to precisely predict where a consumer will visit next.

I N T E R E S T S + I N T E N T T O B U Y + D E M O G R A P H I C S

The content an individual consumes across her devices provides deep insight into her interests and preferences. Our patented1 technology examines millions of online browsing data points per minute, refining long-term interests, identifying intent to buy, and predicting demographics for an individual in near real time.

P U R C H A S E S + C O U P O N S

Insights into past purchases and coupon redemptions help us narrow in on individual buying habits. Not only do we know what stores she visits, but we also know what she buys, how much she spends, and what coupons she redeems — building a more complete understanding of her purchase preferences.

1.2M RETAIL LOCATIONS

2BCOUPON REDEMPTIONS

1.4B DEVICES

110B INTENT SIGNALS

33B LOCATION SIGNALS

With exclusive, predictive intelligence

designed to engage consumers at critical

moments, the Valassis Consumer Graph™

connects online and offline signals to

understand consumers more fully and

predict what motivates them to act.