Accurately identify the individuals, households, and audiences across devices, channels and touchpoints—for exceptional omnichannel engagement and analytics.
Identify users across all addressable devices and touch points.
Link user identities, the touch points users have engaged across devices, and the actions they take—including custom attributes that are important to your business.
Identify anonymous website visitors to re-engage them via email, postal direct mail, and catalog drop.
Whether you’re engaging target audiences, executing one-to-one marketing initiatives, or want to put your user-level insight to work, MediaWallah onboarding supports your marketing goals.
Communicate further with audiences you know.
Leverage your CRM data to link the customer identifiers you have with other addressable identifiers you don't. Results are audience-level.
Use cases include:
Media mix analytics
Take control of one-to-one engagements across channels.
Get onboarding results as individual user identities—not aggregate audiences—to use in one-on-one marketing efforts.
Use cases include:
Individual or audience targeting
Personalized customer journeys
User-level frequency optimization
Harness custom, non-personally identifiable CRM data to get more from your onboarding results.
Segment, target, engage and analyze more effectively by incorporating your CRM data within onboarding—giving context to the customers you pseudonymously identify. Incorporate non-PII data from your CRM to increase granularity, accuracy and effectiveness in any Audience or Individual-level use case.
Leverage CRM data including:
Transaction data such as timestamp, revenue, number of items purchased, SKUs and categories
Store information including store IDs and store geolocation data
Loyalty data including new/existing user, LTV, LTR, date of first purchase, date of last purchase, and more
Prior exposures, including email opens, unsubscribes and direct mail sent/received
Demographics (user and household level)
Media mix analytics
Identify anonymous site visitors to re-engage them via email, postal direct mail, and catalog drop-with MediaWallah Reverse Onboarding.
Don't let the customer journey stop at an anonymous site visit.
When site visitors don’t log in, MediaWallah Reverse Onboarding pseudonymously identifies those visitors by matching their cookies or mobile ad identifiers to a hashed email. That hashed email can be matched to your CRM—so you can continue to engage them via email, direct postal mail, or catalog drop.
Activate by segment-including by site pages or products they visit, how often they've come to your site, and the interests they express through their onsite behavior.
Re-engage individuals—not look-a-like audiences.
Use Reverse Onboarding to:
Direct consumers further down the purchase funnel and increase conversions
Deepen brand mindshare among customers who have already expressed interest
Build your first-party database
Build your identity on top of ours—whether you’re appending an existing data set or starting from scratch.
Use MediaWallah to grow and expand your graph, or to confirm that your own "truth set" is really accurate and true.
With over 250 million US customer profiles and robust data hygiene for exceptional match rates (60-80%), MediaWallah identity enables seamless data activation across DMPs, DSPs, and SSPs, and other channels for unrivaled accuracy.
Increase your reach across target customers. Provide MediaWallah with a limited identity set, and we complete the picture across customers’ multiple identifiers—including cookies, hashed email addresses, IP addresses, mobile ad IDs (MAIDs), and ZIP-11 data.
Add the specific identifiers you need to strengthen your data set—including cookies, hashed email addresses, IP addresses, MAIDs and ZIP-11 data.
Access MediaWallah assets as simple as raw data or selected linkages, or as complex as our entire graph.
MediaWallah's deterministic-based, privacy-secure ID Graph is built to accurately access a vast number of consumers wherever they are digitally addressable.
Built from a core of hundreds of thousands of emails, our graph covers the majority of internet users and households in the U.S.
Use our graph to resolve to the customer, household, and device level across:
We source data from hundreds of authoritative partners including retailers, major publications, newsletters and social sites.
Our machine learning scrubs and normalizes out over half of our initial raw data, distilling to only the most accurate information.
Ongoing refresh keeps the graph constantly up-to-date.
Our graph is built with emails–not cookies–as its foundational layer (or identity key). So no matter what happens to the third-party cookie, our identity solutions stay resilient.