The visitor who left without buying
is the customer calling you tonight.
InfiniteWatch fingerprints your web visitors and matches them to your phone calls, chats, and messaging threads, so every interaction a person has with you resolves to one customer identity, even before they ever log in.
Trusted by insurance and operations teams worldwide
Your customer moves between channels. Your data does not.
One person, one intention, one afternoon. Your systems record it as three unrelated strangers, and every team downstream works from a fraction of the story.
Your website
What it sees
An anonymous session that configured a quote, hit an error, and left.
What it misses
Who it was, and whether they ever came back through another door.
Your contact center
What it sees
A phone number, an IVR selection, and whatever the customer explains.
What it misses
The twenty minutes they just spent on your site trying to do it themselves.
Your messaging channels
What it sees
A WhatsApp thread, an SMS reply, a chat transcript.
What it misses
That all three belong to the same person, mid-purchase, right now.
Cross-Channel Identity closes that gap. Every session, call, chat, and message is resolved to a single customer identity, so a drop-off on the web and a call at six in the evening stop being two records and become one story you can act on.
Recognize the person, not the channel
Identification on every channel you serve, and the matching layer that turns those signals into one customer.
Web visitor fingerprinting
A durable device signal built from browser and device characteristics recognizes returning visitors without a login, and holds when cookies are cleared between sessions.
Caller identification
Calls are matched on number, IVR entries, and the web and messaging activity around them, so an unknown number is still resolved to the person behind it.
Messaging identity
WhatsApp, SMS, live chat, and email threads attach to the same person, whichever handle, device, or address they happen to use today.
Deterministic and probabilistic matching
Hard identifiers such as customer ID, order number, email, or phone are used first. Where none exist, device and behavioral matching fills the gap, and every match carries a confidence score.
One identity graph
Each person becomes a single profile with every device, number, thread, and session attached, instead of a duplicate record per channel.
Retroactive stitching
The moment someone identifies themselves, their earlier anonymous activity is attached to their profile, so the history is there from the first known interaction.
Real-time resolution
Identity resolves while the phone is still ringing, so the agent, human or AI, opens the conversation already knowing what just happened on the web.
Pushed into your stack
The resolved identity and its cross-channel timeline flow into your CRM, contact center, and warehouse through standard webhooks and APIs.
One person, one timeline, whatever door they use
These are the handovers where customers are lost today. Pick one to see how it looks once every channel resolves to the same identity.
Abandoned checkout, then a call
The visitor who could not finish the purchase calls you hours later
WHAT HAPPENS
- 16:12Web
Configures a quote and reaches the payment step.
- 16:19Web
Card verification fails. The session ends with no purchase.
- 20:41Voice
An inbound call arrives from a number you have never seen.
- 20:41Identity
Matched to the 16:12 visitor. The quote and the exact failure are on screen before the agent says hello.
THE QUESTION IT ANSWERS
Is the person on the phone the visitor who dropped out at payment this afternoon?
WHAT CHANGES
The agent opens with the right quote and the real reason it failed, instead of ten minutes of discovery. A recovered sale rather than a colder, slower one.
Questions you can finally answer
Every one of these depends on knowing that two interactions on two channels belong to the same person. That is the whole product.
Is the person calling us right now the visitor who abandoned a purchase this morning?
The inbound call is matched to the session, the cart, and the step where it broke, before the agent answers.
How many customers try self-service first, fail, and end up in the contact center anyway?
Every call and message is checked against the web activity that preceded it, so the cost of a broken flow becomes visible.
Which pages generate calls, and what do those callers ask about?
Calls are traced back to the last pages the caller saw, turning your call drivers into a list of pages to fix.
Is this a routine service call, or someone who read the cancellation page twice last night?
Retention signals from the web arrive with the call, so a save conversation happens while it can still be won.
Did the customers we contacted come back, on any channel?
Outreach is measured against every channel the response could land on, not only the link in the email.
Are these applications from different people, or one device wearing several names?
The identity graph exposes when many identities share one device, and when a caller's history does not match the account they claim.
Where do our AI agents actually hand work back to humans?
Chat, voice, and messaging join into one case, so an AI resolution followed by a call is counted as what it is.
How long does a real customer journey take, end to end?
From the first anonymous visit to the final call, measured on one timeline instead of five disconnected reports.
From four channels to one customer
Live on your existing stack in days, matching from the first session it sees.
Connect your channels
One script on your site, plus a connection to the telephony, chat, and messaging platforms you already run. No replatforming.
Identify every interaction
Visitors are fingerprinted at the device level, and calls and messages carry their own identifiers, so nothing arrives anonymous by default.
Resolve to one identity
Deterministic identifiers first, then device and behavioral matching with a confidence score, merging channels into a single profile and timeline.
Act on it in real time
Context reaches agents and AI agents mid-conversation, and the resolved identity flows into your CRM, contact center, and warehouse.
Recognition your legal team can sign off
Knowing your customer across channels should not mean collecting more about them. It means connecting what they already chose to share with you.
Consent-aware by design
Identification runs inside your consent framework and on the lawful basis you configure, per region and per channel. Withdrawn consent stops matching and drops the link.
Minimal by default
PII is masked at collection and identifiers are hashed. The graph stores the links between interactions, not a copy of everything a person ever typed.
Your graph, your tenant
Identities are never pooled across customers, sold, or shared. Nothing leaves your tenant, and you set the retention window after which links expire.
Enterprise controls
SOC 2 and GDPR support, end-to-end encryption, role-based access, EU data residency, and an audit trail on every match and merge.
Better with the rest of AI Insights
AI Insights
The observability layer this identity sits inside.
Web Insights
What the matched visitor actually did on your site.
Voice Listener
What was said on the call that followed.
Conversations Intelligence
Themes and signals across every conversation.
Agent Assist
Puts the cross-channel context on screen mid-call.
AI Agents
Agents that pick up the conversation with full history.
What people are saying
“Within 24 hours of deployment, we had 10x more visibility into critical conversion blockers that were costing us revenue every single day.”
Aitor Gumiel
VP of Product @ TheGuarantors
“With InfiniteWatch we are adopting AI agents in our sales team the right way. It scores our reps and our AI agents on exactly the same criteria, so we can see where an AI agent already matches our best people and expand automation only where the data proves it.”
Alberto Baselga
CPO/CIO @ Northius
“Our dashboards always told us where the drop-off or friction points were, but we never knew whether it was due to a lack of interest or because they had encountered an issue unknown to us. With InfiniteWatch, within the first week, those drop-offs were turned into three specific tickets—complete with recorded sessions and proposed solutions. We are finally acting on evidence, not assumptions.”
Beatriz Lázaro
Head of Growth @ Aegon
Stop meeting the same
customer for the first time.
Connect your site, your calls, and your messaging channels, and see your first cross-channel identities resolved within days.