Dynamic data products and services focus on adding value to your marketing spend, strengthening CRM, and providing enhanced targeting intelligence
“SUPPLY & DEMAND BOOSTER” increases return on your marketing dollars by identifying the audiences that have the most demand for and the least supply of your product category
Scalable volume: 240MM consumers across the US identifying households with great demand and high supply for products and services by category
Product Categories/ Recommended for: alcohol, electronics, automobile, books, home and garden, apparel, beauty supplies, furniture, groceries, gift, hardware, appliances, musical instruments, office supplies, health and personal care, pets, pharmacies, sporting goods, toys and hobbies, electronics, warehouse clubs and superstores, department stores, general merchandise.
“LINK & SYNC” adds multiple channels to your existing data to increase impressions and strengthen CRM and 3rd party data contact strategies
Scalable volume: 60MM online response and app login records per month, 2MM daily batch
Linkage data specs: mobile advertising ID, hashed email SHA256, SHA1, MD5, device type IDFA, AAID, timestamp, cell number, IP address, postal address, full email,
email domain, cookie, lat/long
Successful case study: An email marketing company needed to identify active emails from their historical data to eliminate waste, cut costs, and boost response for their clients. They licensed our hashed email database with new signals, enhanced their email list with it, and identified the 70% of active email addresses to concentrate their marketing on for 40% lift in response to their email campaigns.
APPEND DEMOS, attributes, and signal behaviors to your existing data for enhanced targeting and customer intelligence
Scalable volume: 245MM US Consumers, 45MM US Businesses
Audience segmentation and append fields: CPG brands, purchase intent brands, known purchase categories, online signal behaviors [keyword, contextual, registrations, subscriptions, purchases], triggers, demographics, lifestyle, interests, vehicle ownership, occupation/professionals, business firmographics.
Successful Case Study: Start-up non-stain baby bib company targets their online campaign to our expectant and new parents. Promotion of new product resulted in 25% more response and orders than parallel campaign not targeted by lifestage data, even on parenting and new mom sites.