Trusted numbers, long after go-live.
Adobe Analytics has been running for years, and on paper everything works. But somewhere between go-live and now the numbers stopped matching, and people quietly stopped trusting them. We fix implementations that have drifted, and build new ones designed to stay accurate long after launch.
Where analytics quietly breaks.
Governance decay
Every redesign, migration, or new campaign parameter pulls the setup further from what it was built to measure. It rarely fails outright. It degrades quietly, one small change at a time, until the day someone finally needs the data and finds they can't trust it.
The CJA promise vs. the reality
You bought Customer Journey Analytics for the cross-channel view. Most implementations deliver little more than web analytics. The unified picture across web, CRM, and offline needs a data foundation the original project never built. It's an architecture problem, not a CJA one, and it's fixable.
No measurement framework
Tools go live before anyone agrees what success actually means. "Conversion" means one thing to marketing and another to finance, KPIs have no owner, and attribution was never signed off. So leadership decides on gut feel, while the data that should guide them goes unused.
What we do about it.
Where we start depends on where you are. Either we build a new implementation the right way, or we rescue one that's already begun to drift.
Adobe Analytics
New builds and rescue work. A new build starts with the measurement framework, not the first tag. We settle the metrics, KPI ownership, and governance first, then build the technical setup on top. Already live and drifting? We audit what's broken and hand you a prioritized roadmap. Starting over is rarely the answer.
Customer Journey Analytics
The cross-channel view you actually paid for. We build the full CJA setup, including the Adobe Experience Platform foundation that makes web, CRM, app, and offline data analyzable in one place. Get that foundation right, and the cross-channel view becomes something you can use.
Analytics strategy & measurement framework
Before any tool is configured, we define what success looks like. That means agreed metrics, KPIs with named owners, signed-off attribution, and governance that survives team turnover. It's the piece most implementations skip, and usually why they miss the return projected at sign-off. Delivered on its own, or as phase one of a build.
Why the fix actually lasts.
Go-live isn't the end
Most partners sell the project, close the engagement, and let the implementation drift. We build the operating model in from the start, so someone owns it and keeps it current through redesigns and team changes. The difference doesn't show at launch. It shows a year later, when the data is still accurate and still trusted.
Built for the full Adobe stack
We build analytics in the context of everything else you run on Adobe. If AJO, Real-Time CDP, or Campaign are in the mix, the same event data feeding your analytics should feed segmentation in RT-CDP. Built in isolation, you get three Adobe tools that don't talk to each other. We design against that.
Rescue is a standard entry point
Most organizations come to us already live and already drifting. A targeted audit paired with a prioritized roadmap is how analytics programs should be run, not a fallback for teams that can't afford a rebuild. For us, it's a standard starting point.
Two analytics Specializations, one team
Adobe's Specialization program isn't self-reported. It requires documented, assessed depth in a platform, and Accrease holds both the Adobe Analytics and Customer Journey Analytics Specialization. The team that earned those credentials is the same team that delivers your work.
Analytics questions we get asked.
What's the difference between Adobe Analytics and CJA?
Adobe Analytics measures your digital properties in depth. CJA runs on Adobe Experience Platform and joins web behavior with CRM, call center, and offline data, so it answers cross-channel questions Analytics can't. Analytics tells you what happened on your site. CJA tells you what happened across the whole journey.
Do we need both Adobe Analytics and CJA?
Not necessarily, and not forever. Many organizations run both for a period while they move over. If you only measure your website and your Adobe Analytics setup works well, there is no rush. If you need to answer cross-channel questions and report on the full customer journey, CJA is the tool built for that, and it is where Adobe puts its new AI features for analytics. We help you decide the timing and plan the migration, so you don't pay for two tools longer than necessary.
Our Adobe Analytics is running but we don't trust the data. Where do we start?
Start with an audit. The tags usually fire fine. The gaps sit in everything around them, no maintained documentation, no governance, no agreed KPIs. An audit shows what's drifted and what to fix first, so you rarely need to start over.
We've bought CJA. What does it take to get the cross-channel view?
More than the CJA config itself. The cross-channel view needs CRM, call center, app, and offline data inside AEP in usable form, each with its own schema, ingestion, and identity resolution. That's data-architecture work the original project usually skipped, and we build it alongside the CJA setup.
What happens after go-live, and who maintains it?
You do, with an operating model we build into the engagement, a named owner, maintained metric definitions, and governance that survives team turnover. An implementation is complete when your team can keep it accurate, not when it goes live.