Adobe Analytics consulting, activated with agentic AI.

As an Adobe partner we cover the full lifecycle — Adobe Analytics consulting, implementation and configuration, migration, report building and APIs, conversion optimization, Customer 360 and attribution.

Both. We stand up new Adobe Analytics implementations and audit, re-tag and repair existing ones so the data you report on is accurate and trusted.

We map your existing measurement plan, re-build the data layer and tags, validate parity against the old tool, then cut over with QA and documentation.

We wire agentic AI into the workflow — AI-assisted tagging and QA, agentic reporting, and predictive and attribution models that surface insight instead of just dashboards.

Yes. We integrate Adobe Analytics with AEM, Target, Campaign and the wider Experience Cloud so data and personalization work as one.

Yes. We offer managed analytics services — monitoring, governance, new reporting and continuous optimization — so measurement keeps improving after launch.

An Adobe Analytics consultant connects business objectives to the data that measures them. The work runs from analytics strategy and KPI design, through implementation audits, data layers and tagging, to dashboards in Analysis Workspace and training, so your team can improve the customer experience with data it trusts.

Our Adobe Analytics consulting services cover the full lifecycle: a measurement plan tied to business goals, Adobe Analytics implementation or re-implementation, analytics QA, reporting and calculated metrics, predictive analytics, Customer Journey Analytics setup, and ongoing support. You can start with a single audit or run the whole program with us.

Adobe Analytics collects data from websites, mobile apps and other digital channels and turns it into reports on user behavior, site and campaign performance, and conversion. Analysts work in Analysis Workspace, which Adobe describes as a drag-and-drop browser interface for crafting analyses, adding visualizations, and sharing and scheduling projects.

Adobe describes Customer Journey Analytics as its next-generation Analytics solution that lets you use the power of Analysis Workspace with data from Adobe Experience Platform. According to Adobe, data from your call center, POS systems and online properties can be combined into a single reporting view, so you can follow the customer journey across channels instead of looking at web traffic alone.

It depends on where your customer data lives. If your questions stop at website and app behavior, Adobe Analytics may be enough. If you need call center, store or CRM data in the same view, Customer Journey Analytics is built for cross-channel analysis. We review your data sources, reports and roadmap before recommending a move.

Accuracy is part of the design, not a clean-up step. We document every variable in a solution design, validate the data against the data layer before each release, reconcile Adobe Analytics figures with source systems such as orders or leads, and set up alerts so a broken tag is caught quickly.

For new builds, the Adobe Experience Platform Web SDK is often the right path. Adobe explains that the Edge Network allows you to send data destined to multiple products to a centralized location, which lets you consolidate implementation efforts. If you plan to move to Customer Journey Analytics in the future, Adobe advises against using the Adobe Analytics schema field group and recommends your own schema with datastream mapping, and we build to that guidance.

Adobe defines calculated metrics as custom metrics that you can create from existing metrics, so you can analyze your data without having to change your implementation. We use them for conversion rates, revenue per visit and the other KPIs business teams ask for. Adobe notes that some features, including Fallout and Cohort Analysis in Analysis Workspace, do not allow calculated metrics.

Yes. Report Builder is Adobe's Microsoft Excel add-in for Adobe Analytics, available on Windows, macOS and web browsers, and it lets you create complex data queries and custom reports inside Excel. It suits finance and executive teams who live in spreadsheets; for everyone else we build dashboards in Analysis Workspace.

Yes, within limits. Adobe's documentation describes real-time reports configured per report suite: up to three reports, each with one metric and three dimensions or classifications. After the initial setup, Adobe says it can take up to 20 minutes for the data to begin streaming. We use real-time reports for launches and campaigns that need them, and standard reports for everything else.

It depends on your stack and scale. Adobe Analytics fits enterprises already on the Adobe Experience Cloud that need deep segmentation, calculated metrics and cross-channel analysis through Customer Journey Analytics. Google Analytics fits teams that want web analytics built around Google's marketing tools. If you are moving from Google Analytics, we map your existing measurement plan to Adobe during the migration.

Adobe licenses its Adobe Analytics solutions in packages, and pricing is set in your agreement with Adobe, so the right source for a quote is your Adobe account team. Our consulting is scoped separately, after a working session on your measurement plan and the reports you need.

The return on an Adobe Analytics investment comes from decisions, not dashboards. Before any build we agree on the business objectives, KPIs and the insights needed for decision making, then track whether reports change what teams do: budgets moved, pages fixed, tests launched. Attribution across digital channels connects campaign results to spend, which is how digital marketing ROI gets measured instead of estimated.

For an in-house analyst it is a useful signal of platform knowledge. When you hire an Adobe Analytics consultant, weigh hands-on experience at least as heavily: the ideal candidate can show you a solution design document, a QA process and dashboards built for a business like yours.

Yes, with planning. To avoid data loss we keep historical reports available, either by exporting them or keeping the old tool accessible, and we run old and new tracking in parallel until the numbers reconcile. Only then do we switch reporting over.

Segments let you isolate groups of visitors, such as first-time visitors or repeat buyers, and apply them to any report. Adobe lists segments alongside dimensions, metrics and date ranges as the components you build Analysis Workspace projects from. We design a shared segment library so every team judges its marketing on the same definitions.

Privacy is built into data collection. Tags fire according to each visitor's consent choices, every variable is documented, and access to reports follows roles. Your legal team decides how rules such as GDPR and CCPA apply; we implement those decisions in the tagging and data governance setup.

Training is part of the handover. Sessions cover digital analytics concepts as well as Analysis Workspace, the segment library and the dashboards built for each team, with documentation of the solution design, so marketing teams can answer everyday questions and make data-driven decisions without waiting on an analyst.

Brainvire brings 14+ years of experience, 1,000+ Brainers across 10+ global offices and a 95% client retention rate. Our Adobe Analytics work sits inside a wider Adobe practice that also delivers AEM and Adobe Commerce, as the case studies above show, so analytics stays connected to the platforms that produce the data.