ALBERA - GA Strategy
To develop the project for albera.es, we implemented a complete Google Analytics 4 strategy focused on measuring user behavior, ecommerce performance, and business growth.
The goal was to transform raw data into actionable insights, allowing the team to understand how users interact with the website, identify opportunities for improvement, and optimize the conversion funnel.
This strategy was fully aligned with both the Google Tag Manager implementation for Albera and the SEO strategy for Albera, ensuring accurate data collection through a structured DataLayer and enabling performance analysis across organic acquisition and user behavior.
Google Analytics - Performance:
2026
The analysis of user acquisition channels during March 2026 reveals that Direct and Organic Search are the main traffic sources, confirming the impact of brand awareness and SEO strategy within this one-month period.
Organic Social and Referral channels show lower volumes, indicating potential growth opportunities through content distribution and partnerships.
From a global perspective, the website reached 173 active users and 161 new users in March 2026, with an average engagement time of 1 minute and 23 seconds, reflecting a solid level of user interaction within the analyzed period.
In terms of ecommerce performance, the platform generated 388 users and 6 purchases during this month, achieving a total revenue of 126.64€ with an average order value (AOV) of 10.55€.
Organic Search stands out as the most valuable channel in terms of revenue efficiency during March 2026, while Direct traffic contributes the highest volume of users and conversions.
This one-month performance analysis allows us to identify which channels drive traffic, engagement, and revenue, supporting strategic decision-making in both SEO and marketing campaigns.
2026


Google Analytics - Events:
2026
The measurement strategy is based on a structured event tracking system that captures both user interaction and ecommerce behavior during March 2026.
Key events such as page_view, session_start, user_engagement, and scroll provide insights into how users navigated and interacted with the website content throughout this one-month period.
At the ecommerce level, events like view_item, add_to_cart, begin_checkout, and purchase allow us to measure the full customer journey during March 2026.
The data collected during this period shows a progressive decrease between interaction and transaction events, highlighting the importance of optimizing each step of the conversion process.
Additionally, custom events such as form_start, form_submit, and generate_lead provide visibility into lead generation and user intent within the analyzed timeframe.
This event-based approach enables a detailed analysis of user behavior over a defined period and ensures that all relevant interactions are properly tracked and measurable.
2026

Google Analytics -
Funnels & Explorations:
2026
Through GA4 Explorations, we built a complete conversion funnel from product view to purchase, based on an exploratory dataset from February 1st to April 14th, allowing us to detect friction points in the user journey.
The funnel analysis shows that from view_item to add_to_cart, only a small percentage of users continue during this period, indicating a potential drop-off at the product level.
However, once users reach the checkout phase, the progression from add_to_cart to begin_checkout is significantly higher, suggesting strong purchase intent within the analyzed timeframe.
The biggest drop occurs before the final purchase step within this period, where a large percentage of users abandon the process, revealing a key opportunity for optimization.
This type of analysis allows us to:
- Identify bottlenecks in the conversion funnel
- Optimize product pages and checkout experience
- Improve overall conversion rate
By combining event tracking, channel analysis, and funnel explorations, the strategy provides a complete view of user behavior and business performance within a defined period, establishing a baseline for future optimization and scalable growth.
2026


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