Unlock Omnichannel Marketing with Matchbook
Matchbook’s identity augmentation technology matches a company’s first-party data to new digital signals, enabling advertisers to enhance cross-device reach, retargeting, and online-offline attribution capabilities.
Why Matchbook
Connecting the dots across fragmented data to support omnichannel marketing campaigns is a major challenge. Many marketers or advertisers have one identifier for their audience, such as a physical location, IP address or MAID (Mobile Advertising ID), but need additional identifiers to effectively reach potential customers through channels.
Matchbook enables marketers and advertisers to convert their advertising reach from a singular marketing channel to an omnichannel approach to drive engagement and conversions.
Match first-party data to highly accurate digital signals
Billions of aggregated, consented, and device-derived observations are used to build Matchbook’s location, IP, and MAID-centric databases.
Physical Location to IP
Target based on the most recently observed IP addresses within the proximity of a desired location.
IP to MAID
Maximize ad spend and increase ROI by leveraging MAIDs with the highest observations on an IP.
MAID to IP
Enhance your targeting capabilities and reach customers across various devices by utilizing IP addresses that a MAID has most frequently connected to.
Other Matching Capabilities
Match other spatial indices of interest to IP addresses: Postal Code to IP, H3 to IP, or Geohash to IP.
Use Cases
CTV / OTT Targeting
Bridge the gap between offline and online marketing channels by expanding into the growing CTV space.
Audience Extension
Extend audience segments for multi-channel advertising.
Cross Platform Targeting & Retargeting
Reach audiences across platforms and improve campaign metrics.
Account-Based Marketing
Connect with target accounts at the right time and with the right messages.
Campaign Measurement
Track post-campaign performance for proper attribution.
Identity Graph Augmentation
Augment identity graphs with accurate and relevant identifiers associated with consumer profiles.
Parameter Customization Enabled by Matchbook
Historical Context
Look as far back as 180 days or as recent as one week to match unique use cases and opportunity window for in-market consumers.
Adjust the number of matched responses
Adjust to target top propensity connected devices to reduce noise.
Tailor the Threshold of Observations
Gain insight into the domain names tied to given IP addresses and companies. Target only those connections with the most seen observations to eliminate devices with less affinity.
