Your Data Knows the Customer. It Doesn't Know What Just Happened to Them.
More than 70% of banking interactions are now fully digital, and the number keeps climbing across every industry I talk to. Most of that behavior is invisible to the teams making decisions about it.
Salesforce's research backs this up at scale: 76% of customers expect a consistent experience across departments, but only 54% feel like they're getting one. That's not a small gap; it's the gap this partnership is built to close.
Tealium brings the trusted, real-time customer data. Glassbox brings the behavioral evidence, where customers actually get stuck, and why. Together, we make that gap a lot smaller
The moment right after you knew
You know the moment. You return the item, hang up the phone, hit send on the email; and ten minutes later, you know exactly what you should have done instead. Nothing dramatic happened. You just didn't have the one piece of information that would have changed your decision, and by the time you got it, the decision was already made.
Now multiply that by every customer a large business has. That same small moment; the one piece of missing context that would have changed the outcome, is happening to thousands of people a day, except nobody's standing there to feel regret on the company's behalf. It just shows up later, as a lost sale, a support call, or a customer who quietly stops coming back.
That's really the difference between good and bad scale. A blind spot that goes unseen doesn't stay small; it multiplies by every customer who hits the same confusing form field or the same broken step, every single day, until someone happens to notice. But a fix scales the same way. Catch the moment while it's still happening, not in a postmortem three weeks later, and it's fixed for everyone still in that flow behind them.
The conversation I keep having
I have some version of this conversation almost every week with a digital, marketing, or data leader, and it usually starts the same way. They've spent real money building a better customer profile, identity resolution, consent management, a real-time data layer. And then, they tell me about a customer who dropped out of an application, or a purchase, or an onboarding flow, and nobody on their team can tell me why.
A banking customer starts an application and quits halfway through. Was that person just not that interested; or did identity verification fail on them three times in a row? Those are two completely different problems with two completely different fixes, and most enterprises genuinely can't tell them apart.
That gap is bigger than it used to be, because so much more of the relationship now happens on a screen. McKinsey estimates that more than 70% of banking interactions have shifted to fully digital channels over the past five years, and branch closures have followed right along with it. (Source: McKinsey via Infobip) When that much of the relationship moves online, the moments where things go wrong move online too; and, they get a lot harder to see.
I see the same pattern outside of banking:
An insurance quote gets abandoned. Was it price, or a form field that silently broke?
A retail checkout gets abandoned. Do you send a discount, or fix the payment field that's already confused hundreds of other high-value shoppers?
None of those are small questions. Guess wrong on any of them enough times and you're losing revenue, creating support volume, or, in a regulated business, creating a compliance headache nobody wanted.
Why this gap shows up in the numbers, too
This isn't just something I hear anecdotally. Salesforce's State of the Connected Customer research puts a number on it: 76% of customers expect consistent, connected experiences across departments, but only 54% say that's what they actually get. (Source: Salesforce) That's a 22-point gap between what customers expect and what most companies deliver, and in my experience, that gap is almost never a strategy problem. It's a visibility problem. Teams can't close a gap they can't see.
Tealium and Glassbox each see half of it. Tealium's platform is built to know who the customer is, collecting data from web, mobile, server-side, API, IoT, and enterprise sources, resolving it into one persistent profile, enforcing consent, and activating it across more than 1,300 integrations. Glassbox is built to know the moment, what actually happened in the digital journey, where the customer got stuck, and what that's costing the business.
Put those together and you stop treating every abandonment the same way. You go from "this customer left" to "this customer hit a card-validation error at checkout, has a high cart value, and is still recoverable right now. That behavioral signal can enrich the customer profile and audiences in Tealium, helping trigger the right response while there’s still time to change the outcome.
“Customer data tells you who is in the journey; behavioral data tells you what is happening in it. By combining Tealium’s real-time, consented customer profiles with Glassbox’s digital experience intelligence, organizations can identify friction as it happens, understand its business impact, and take the right action before a moment of confusion becomes a lost customer.” says Jay Calavas, Global VP of Product Strategy at Tealium.
The cost of not closing that gap is rising. Forrester's 2024 U.S. Customer Experience Index found that CX quality among U.S. brands hit an all-time low for the third year running; and yet the customer-obsessed companies in that same study still grew revenue and profit, and retained customers, faster than everyone else. (Source: Forrester) The companies pulling ahead aren't the ones with more data. They're the ones who can actually see what's happening to the customer in the moment, and act on it.
What this looks like in practice
Conversion rescue: Glassbox flags where and why a high-value customer is stuck; Tealium enriches the profile and triggers the right response downstream.
Predicted abandonment: hesitation, repeated failed clicks, and other behavioral signals catch at-risk customers before they leave, not after.
Smarter personalization: Audiences get enriched with why, not just what - behavioral signals that reveal intent, struggle, friction, and journey outcomes - so teams can respond differently to a customer who is struggling, hesitating, or ready to act.
Lower cost-to-serve: catch digital friction before it turns into a support call.
Closed-loop learning: Tealium triggers the intervention, Glassbox measures whether it worked, and the result feeds the next decision.
Why the stakes are higher in regulated industries
In financial services, a failed onboarding flow doesn't just cost more than a conversion. It costs a first impression at the exact moment trust is being built. In insurance, friction in a quote or claim hits both revenue and loyalty. These teams are under real pressure to move fast with AI and personalization, but they also can't skip governance, consent, or auditability to get there.
That pressure is well-founded. Twilio Segment's 2024 State of Personalization report found that 61% of business leaders are worried inaccurate data could undermine AI and machine learning for personalization. (Source: Twilio Segment) I'd put it more bluntly: a faster decision made on a thin signal is still a bad decision. AI just gets you there quicker.
Where I think this goes
Glassbox's focus with Tealium going forward delivers on the KPIs our customers care about: help teams catch the moments that matter, understand what actually caused them, and act while there's still time to change the outcome; inside the systems they're already using, not a new one bolted on top.
