AI SEO & Advertising

Analytics, Reporting & Data Intelligence

Most businesses have more marketing data than they can act on. EXPRE builds analytics infrastructure and reporting systems that give marketing teams clear, accurate, and actionable data — without the manual assembly overhead. AI adds the analysis layer: identifying patterns, flagging anomalies, and surfacing the insights that rules-based reporting misses.

Get a Free Analytics Audit

Beyond Standard Analytics

Standard analytics reports describe what happened. They do not explain why, and they do not tell you what to do next. Traffic rose 20 percent last month, but was that the new blog post, the PR coverage, the seasonal effect, or the campaign you launched? Standard reports attribute it to a channel. They do not explain causation.

EXPRE builds reporting that moves beyond attribution to interpretation. Multi-touch attribution models that reflect how customers actually behave across sessions and channels. Cohort analysis that reveals how different acquisition periods perform over time. Predictive models that identify which channels are likely to produce the most revenue next quarter based on leading indicators.

The goal is reports that marketing teams use to make decisions, not reports that get filed after the weekly meeting.

Our Analytics Services

GA4 Setup and Migration

Universal Analytics stopped processing data in 2023. Businesses that have not migrated to GA4 properly are operating without historical data continuity and without the event model that makes GA4 useful. We handle GA4 implementation from the ground up: event planning, Google Tag Manager configuration, conversion tracking verification, and data quality auditing for existing installations.

AI-Powered Reporting Dashboards

AI adds two capabilities that rules-based dashboards cannot provide: anomaly detection and natural language insight generation. Our AI-enhanced dashboards flag the three most significant performance changes of the past week, explain them in plain language, and suggest the most likely causes — a morning briefing that gives marketing teams the context they need in minutes.

Conversion Rate Optimisation

CRO uses analytics data to identify where visitors leave the conversion path and tests changes that address those drop-off points. We run structured CRO programmes using A/B testing tools to test hypotheses generated from data analysis, with AI contributing through pattern recognition in heatmaps and session recordings.

Our Analytics Stack

Data Collection Foundation

The foundation is Google Analytics 4, configured properly with the custom events and conversions that matter to your business. A properly configured GA4 installation tracks scroll depth, form interactions, video plays, download clicks, and the specific events that represent commercial value — not just page views.

Google Search Console feeds organic search performance data. Ad platform APIs pipe campaign data into a central data warehouse. CRM data connects revenue to the marketing activity that influenced it. n8n orchestrates the data flows that keep everything current.

Reporting and Visualisation

Looker Studio (formerly Data Studio) builds the reporting layer: dashboards showing the metrics that matter, updated automatically, accessible to everyone in the team without requiring individual platform access.

Multi-touch attribution models reflect how customers actually behave. Cohort analysis reveals acquisition period performance. Predictive models identify which channels are likely to produce the most revenue next quarter. Reporting that informs strategy, not just describes history.

How We Approach Analytics Projects

1

Analytics Audit

We assess your current analytics setup: GA4 configuration, conversion tracking accuracy, data quality, attribution model, and reporting infrastructure. We document what is working, what has gaps, and what is producing misleading data that could be driving poor decisions.

2

Implementation and Configuration

We implement the improvements: event tracking configuration, conversion setup, GTM organisation, and data pipeline connections. For GA4 implementations done quickly during the UA deadline period, we audit and remediate data quality issues.

3

Dashboard Build

We build the reporting layer in Looker Studio: the marketing dashboard, the channel-specific views, and the AI-enhanced weekly briefing. Each dashboard is built around the decisions your team actually needs to make, not around what data happens to be available.

4

Ongoing Optimisation

Analytics requirements evolve as your marketing strategy develops. We maintain and update your analytics infrastructure, add new data sources as needed, and ensure your reporting remains accurate and relevant as your business grows.

Frequently Asked Questions

Do we need a data engineer to benefit from better analytics?
No. EXPRE handles the technical setup and data engineering. You get the reports and dashboards. The ongoing maintenance requirement after setup is minimal, and we provide documentation so your team understands what they are looking at and why.
Can you fix our existing GA4 implementation?
Yes. GA4 implementations done quickly during the UA deadline period often have tracking gaps, misconfigured conversions, or data quality issues. We audit and remediate existing implementations, and provide a clear report of what was wrong and what was fixed.
How do we know what our marketing ROI actually is?
With proper multi-touch attribution, CRM connection, and revenue tracking, it is possible to connect marketing spend to revenue with reasonable accuracy. The setup requires investment, but the visibility it provides justifies the cost — and usually surfaces channel inefficiencies that more than pay for the work.
Can you set up predictive analytics for our business?
Yes. Predictive models for lead scoring, customer lifetime value, and channel performance forecasting are achievable with sufficient historical data. We assess data readiness and model appropriateness for each situation before committing to implementation.
What is the difference between analytics and business intelligence?
Analytics typically refers to marketing data analysis. Business intelligence covers broader company data including finance, operations, and sales. EXPRE specialises in marketing analytics but can connect to broader BI systems where required.

Get Clarity on Your Marketing Data

We will assess your current analytics setup and identify the improvements that will have the most commercial impact. Most clients are surprised by what they find.

Related Services

Analytics works best when connected to your advertising, SEO, and automation stack.

See All Services