Most of your shoppers never tell you who they are.

Most tools recognize a browser. Tie resolves the person. Every site visit leaves signals — server-side events, IP, device characteristics, behavioral patterns — and Tie matches those against a 280M+ consented consumer identity graph. When a deterministic match exists, we use it. When one doesn't, proprietary AI extends recognition probabilistically to visitors other tools drop. When the match clears your confidence threshold, the shopper's profile is created or enriched in your ESP.

Tie resolves returning visitors across IPs, devices, browsers and email aliases using a proprietary network of 1,000+ data sources, and because nothing depends on a browser cookie, identification survives Safari, iOS and privacy settings. The payoff is continuity: the same shopper is recognized as the same shopper across devices, sessions, and months, instead of entering your database as a new person every time they come back on a different phone. In practice that lifts identification from roughly 10% of your shoppers to as much as 70%.

Tie can identify a wide range of information about your website visitors—from details like name and contact information to enriched insights such as age, gender, household income, and marital status. It also captures detailed website activity and determines whether a shopper is already a customer or exists in your CRM, and predicts how likely they are to engage with future marketing—giving you a more complete view of how each individual engages with your brand.

Both. Every match is deterministic to the household: verified emails, hashed identifiers and order history tie the session to a known home. The probabilistic layer then works out which person in that household is browsing, for example one partner rather than the other, and a profile only syncs once the match clears your confidence threshold.

Tie links different identifiers—like IP address, email, cookies, and device IDs—to a single shopper profile using consented data, all within each client's own siloed environment. This allows Tie to recognize the same person across devices and sessions, whether in real time or through batch enrichment. Each match includes confidence and recency signals, helping ensure accuracy while maintaining a unified view of the customer.

Tie can recognize up to 70% of U.S. website visitors in real time, against roughly one in ten for a typical ESP. Flexible controls let you set your own thresholds for data quality and match confidence, so you decide which shoppers are suitable for ad audiences versus your Klaviyo database.

Tie's data is updated on a near real-time basis. Your website activity and platform data flow into Tie without interruption, with incremental updates roughly every 10 minutes. Tie is not a data co-op: your customer data is never pooled with or shared across other brands. Third-party enrichment attributes refresh on their providers' cycles against our enforced recency standards, and you can filter audiences by data recency at any time.

Yes. Connect your ESP and Tie enriches your existing profiles in place — mailing addresses for direct mail, plus demographic attributes like household income, gender, and marital status. Because enrichment runs against live profiles instead of a static file, attributes keep filling in and updating as shoppers return, so your segments stay current rather than aging out from the day of a one-time upload.