Performance Insights
aibizmod delivery
Strategy, implementation, launch, and support with one connected technical team.
What This Service Solves
Identifying the hurdles
Most businesses have analytics installed but do not have analytics that work. Tracking is misconfigured, conversions are not set up, and the data in dashboards does not match the numbers from other systems. Decision-making defaults back to gut instinct because no one trusts the data. Meanwhile, conversion leaks in the funnel go unidentified because no one has a clear picture of where users are dropping off.
- Analytics data not matching CRM or sales data because tracking is misconfigured
- Conversion events not set up, so there is no reliable data on what marketing activity is driving results
- No funnel analysis, so drop-off points between traffic and conversion are unknown
- Marketing decisions based on activity metrics like clicks and sessions rather than outcome metrics
Our approach & solution
We audit your analytics implementation, fix tracking gaps, and build the reporting layer that connects marketing activity to business outcomes. Then we use that data to run conversion optimisation — identifying the points in your funnel where improvement has the most impact and testing changes systematically.
- Analytics audit covering GA4 setup, event tracking, and conversion configuration
- Google Tag Manager implementation for consistent, maintainable tracking across the funnel
- Funnel analysis identifying the highest-impact drop-off points by stage and audience segment
- Conversion rate optimisation using heatmap data, session recordings, and A/B testing
What This Service Includes
Analytics Audit and Implementation
Analytics Audit and Implementation
Audit your GA4 and Tag Manager setup, identify tracking gaps and misconfiguration, and implement the corrections needed for reliable data.
Conversion Tracking Setup
Conversion Tracking Setup
Configure goal and conversion events covering form submissions, purchases, sign-ups, and phone calls so every marketing channel is attributed against real business outcomes.
Funnel Analysis
Funnel Analysis
Map the stages of your conversion funnel from traffic source through to purchase and identify where users are dropping out, with segmentation by channel, device, and audience.
Conversion Rate Optimisation
Conversion Rate Optimisation
Use heatmap data, session recordings, and A/B testing to identify and validate changes to landing pages, checkout flows, and key conversion points.
Marketing Dashboards
Marketing Dashboards
Build Looker Studio dashboards connecting your paid, organic, email, and social channel performance in a single view, updated automatically from connected data sources.
Attribution Modelling
Attribution Modelling
Review how marketing touchpoints are credited for conversions, moving beyond last-click attribution to provide a more accurate picture of which channels are contributing.
How Businesses Use This
Real-world applications across industries — drag or click the cards to explore.
Analytics Audit and Checkout Funnel Fix
An online retailer had a 70 percent checkout abandonment rate but no data on where users were dropping. A funnel analysis combined with session recordings identified a confusing payment step, which was fixed and A/B tested against the control.
Business Outcomes You Can Expect
Attribution That Reflects Reality
Moving beyond last-click attribution reveals the role that upper-funnel channels play in driving conversions, preventing systematic undervaluation of brand-building activity.
Cross-Channel View of Performance
A unified dashboard covering all channels in one place removes the need to log into multiple platforms to understand overall marketing performance.
Faster Improvement Cycles
A/B testing infrastructure means changes are validated before full deployment, building a record of improvements rather than reverting to debate about what might work.
Marketing Spend Justified by Outcomes
Conversion tracking connected to real business events lets you attribute revenue to specific campaigns and channels, making it defensible to continue, reduce, or reallocate spend.
Visible Conversion Leaks
Funnel analysis makes drop-off points visible and quantifiable, so optimisation effort goes to the stages with the highest impact on revenue rather than arbitrary improvements.
Data You Can Trust
Correctly configured analytics produces numbers that match across systems, so decisions are based on accurate data rather than figures that contradict each other in every meeting.
Questions Before We Start
A Few Things Clients Usually Ask
Find answers to common questions about Performance Insights solutions, setup procedures, scoping timelines, and deliverables.
Why does our GA4 data not match our Shopify or CRM numbers?
This is one of the most common analytics problems we encounter. Typical causes include ad blockers preventing GA4 from firing on some sessions, tag misconfiguration causing duplicate events, or a mismatch in how GA4 and your platform define a completed transaction. We run a systematic audit to identify the specific cause in your setup and document the expected discrepancy after fixes are applied — some level of variance between GA4 and server-side data is normal and expected.
What is the difference between conversion rate optimisation and A/B testing?
CRO is the overall discipline of systematically improving the percentage of users who complete a desired action. A/B testing is one tool within CRO — it compares two versions of a page or element with real traffic to determine which performs better with statistical confidence. CRO also includes heatmap and session recording analysis, user research, and qualitative insight gathering before and after tests.
How long does an analytics audit take?
A standard GA4 and Tag Manager audit for a business website takes one to two weeks. This covers event tracking completeness, conversion configuration, data layer implementation, cross-domain tracking if relevant, and a documented findings report with prioritised fixes.
Do we need to rebuild our analytics from scratch or can existing data be preserved?
Usually both are possible. For GA4, we prefer to fix the existing property rather than start fresh, so historical data is preserved. Where the existing implementation is too broken to repair efficiently, we set up a parallel clean property and document the transition date so historical and new data are clearly separated.