Accurately and anonymously identify unique individuals through deterministic data and probabilistic algorithms.
Salesforce DMP Named a Leader in the Forrester Wave report
People appreciate being recognized and understood. Consider the example of your neighborhood coffee shop: proximity and convenience are the initial reasons you become a customer, but what keeps you coming back is the barista who greets you by name, anticipates your order and makes your drink exactly the way you like it. This personal interaction, repeated and enriched over time, leads to an emotional connection that turns you into a regular customer.
As the physical and digital worlds continue to blend together, businesses have a big opportunity to bring that coffee-shop level of real-time, personalized engagement to consumer experiences. It starts with recognizing individuals across all their interaction channels. That's where Krux's Cross Device Identity Management comes in: our solution enables you to identify people and deliver precise experiences tailored to individuals across online channels and screens in real time.
Krux’s Cross Device Identity Management solution unifies all user-volunteered and approved data signals from online and offline sources. Then, we apply the best combination of declared and statistical methods to accurately and anonymously identify each unique individual across all devices––desktops, tablets, mobile phones, set-top boxes, wearables and connected appliances.
Through Krux’s holistic view of each person’s journey, you gain granular insights on unique preferences, so you can orchestrate personal, engaging and timely customer experiences in real time and right time. What’s more, Krux’s learning and predictive algorithms enable you to continuously fine-tune campaigns for better customer engagement and ROI.
Person-centric data architecture supports cookie-based and cookie-less environments - no proprietary device identification methods.
Cross-screen, cross-channel actionable insights through the synthesis of identity, technographic, behavioral and affinity people data.
Largest, independent truth set provides the training ground of known patterns that statistical algorithms use to learn, iteratively test and improve the next prediction.
Accurate and anonymous inference of identity through the right combination of declared first-party data and statistical inference (when user information is unknown or partial).
Personalized 1:1 engagement starts with knowing an individual across any device.