However, the analytics itself was scattered across multiple tools: user behavior was tracked in one platform, paid advertising in another, and organic search in a third. Product and page-level data existed separately, without a clear connection to marketing performance.

As a result, there was plenty of data but no comprehensive understanding. The same metric looked different depending on the source, the funnel was fragmented, and answering a simple question — what actually works and drives results — required time, manual cross-checks, and additional reports.

At that point, the core issue became clear: having a lot of data does not equal business transparency. To make decisions quickly and confidently, the company needed a single space where marketing, website, and product analytics came together into a coherent picture. This is what led to the need for one dashboard that shows not isolated numbers, but the logic of the entire user journey.

About the company and the initial request

The project we worked on was a commercial business in the school and education supplies niche. Its assortment included dozens of categories and a large number of products, while traffic was generated from multiple channels at once: paid search, social media, and organic search. Each channel played its own role, but together they formed a complex system that was difficult to evaluate without the right analytics setup.

As the business scaled, challenges typical for this type of company began to emerge. The data existed, but it did not form a single, cohesive logic: there was no clear visibility of the full user funnel. This also made it difficult to understand product performance — which items were truly driving results and which were generating traffic without real return. The situation was further complicated by inconsistencies between metrics across different analytics systems, making fast and confident conclusions nearly impossible.

The business request was practical and straightforward: to consolidate all analytics in one place, enabling the team to evaluate the performance of marketing, the website, and products without additional reports, see the full user journey, and make decisions based on a single, aligned view of the data.

The solution we proposed

To eliminate data fragmentation and bring all key metrics into a single, coherent system, we proposed building a unified analytics dashboard in Looker Studio. Its goal was not just to aggregate numbers from different sources, but to reflect business processes as they actually happen.

The dashboard combines data from GA4, Google Ads, Meta Ads, and Google Search Console. This makes it possible to view user behavior on the website, paid channel performance, the contribution of organic traffic, and product and page-level data within one interface. All metrics are built on a unified event and measurement logic, without the need to switch between multiple tools.

The core idea of the solution was to show the entire user journey in one place — from the first visit and content interaction to product views and key clicks. This approach makes it possible to see not isolated data points, but a comprehensive picture of how channels interact, where users drop off, and what truly drives business results.

How the dashboard is structured

The dashboard is designed as a set of logical blocks, each addressing specific business questions. This approach avoids overwhelming the user with excessive details and allows for a gradual, structured dive into the data.

Overview

This section provides a quick understanding of what is happening with the website and the audience as a whole. It is designed so that the current state of the project can be assessed within a few minutes, without the need to switch between additional reports or tools.

At the core of this block are key metrics and events that reflect both traffic volume and quality, as well as user interaction with products:

• Total users / New users — overall audience size and new user acquisition
• Average session duration — engagement and depth of interaction
• Bounce rate — traffic quality and landing page relevance
• Key events — overall volume of key actions
• View item — interest in products
• Click to buy — purchase intent
• Click partners — final target action

The practical value of this block lies in a fast website health check. It makes it easy to immediately spot declines or growth in key metrics, shifts in user behavior, or drops in product interest. The Overview helps quickly determine whether everything is functioning steadily and whether there are signals that require deeper analysis in the following sections of the dashboard.

Funnel

The Funnel block shows the complete e-commerce user journey — from the first interaction with the website to the final target action. Here, the data is structured not around individual metrics but around user behavior logic, making it possible to view the process as a whole.

The main stages of the funnel are:

• Page view — entry point and first interaction with the website
• View item — viewing a specific product
• Click to buy — purchase intent
• Click partners — final target action

For deeper analysis, additional breakdowns are available:

• by device (mobile / desktop / tablet)
• by city
• by pages

The value of this block lies in its ability to clearly show where exactly users drop off within the funnel. By segmenting the data by devices and pages, it becomes easy to identify at which stage an issue occurs and what it is likely related to — traffic quality, page content, or an unclear call to action.

In practical use, the funnel helps teams form hypotheses for UX improvements and prioritize changes. Instead of relying on intuition, the team sees concrete drop-off points and can focus on the areas that have the greatest impact on results.

Google Ads

This block consolidates paid search analytics in one place and makes it possible to evaluate campaign performance without constantly switching to the advertising account. All key metrics are organized within a single logic and connected to users’ subsequent actions on the website.

Key metrics:

• Impressions
• Clicks
• CTR
• Avg. CPC
• Cost
• Conversions

For analysis, convenient breakdowns are available:

• by campaigns
• by search queries

The practical benefit of this block is the ability to quickly identify areas of inefficiency. It makes it easy to spot campaigns with high spend and low returns, as well as queries with strong CTR that do not lead to conversions. This enables timely adjustments to bids, campaign structure, or landing pages.

In day-to-day work, the Google Ads block is used to monitor spend and conversions. It helps teams manage budgets more deliberately, make data-driven decisions, and focus on the campaigns and queries that truly generate results.

Meta Ads

The Meta Ads block is выделен into a separate section to clearly show the contribution of social media to traffic and the overall funnel. Social channels often operate at different stages of the decision-making process, so it is important to evaluate their performance in connection with on-site user behavior, not just advertising metrics.

The block includes key metrics:

• Impressions
• Clicks
• Link clicks
• CTR
• CPC
• Cost

This section makes it easy to quickly understand which campaigns actually drive traffic and which generate reach without meaningful engagement. A key advantage is the ability to compare Meta Ads and Google Ads performance within a single dashboard, without manual data consolidation.

As a result, it becomes clear what role social media plays in the overall funnel — whether it primarily generates initial interest or influences users’ subsequent actions.

Google Search Console

The Google Search Console block presents organic traffic not from the perspective of “SEO metrics for the sake of SEO,” but within a business context — through real search queries, landing pages, and their contribution to user acquisition.

Key metrics in this section:

• Impressions
• URL clicks
• CTR
• Average position

The data is structured across several important breakdowns:

• branded queries
• non-branded queries
• landing pages

This approach makes it easy to see which pages truly drive organic traffic, which queries should be strengthened with content, and where there is potential to improve CTR without increasing advertising spend.

In practical terms, this block supports decision-making at the intersection of SEO, content, and business — helping teams focus on pages with growth potential, understand the difference between branded and non-branded demand, and plan organic growth more effectively.

Top products and pages

This block directly answers one of the key business questions — what actually sells. Here, the focus shifts from channels and traffic to the specific products and pages that drive results.

In the Top Products section, the following metrics are included:

• Items viewed — level of interest in products
• Categories — demand concentration across the assortment
• Popularity — which items consistently attract attention

The Top Pages block complements this view with:

• Page views
• Click to buy
• Click partners

Together, these metrics make it possible to clearly see which products and pages not only generate views, but actually lead users to target actions. This provides a solid foundation for decisions around assortment planning, category prioritization, and scaling the most effective pages through advertising.

User Journey

The User Journey block is one of the strongest elements of the entire dashboard, as it shows not isolated metrics but real user behavior scenarios. Here, the data reveals how users actually interact with the website on their way to target actions.

The block displays:

• actual user paths
• source / medium
• page sequence
• events (view item, click to buy)

This approach provides deep insight into how users move through the site, where they pause or return, and which scenarios ultimately lead to results. It is often here that non-obvious paths to target actions emerge — patterns that are difficult to identify in traditional reports.

In day-to-day work, this block becomes the foundation for forming hypotheses and CRO optimizations. It helps teams identify growth opportunities, test changes more deliberately, and continuously improve the user experience.

Results and conclusions

As a result, the company received not just another report, but a working tool that brings all key data together in one place. Analytics stopped being a collection of disconnected numbers and became a comprehensive system with a unified logic of metrics and events.

The dashboard eliminated the need for manual report preparation and constant data reconciliation across multiple tools. All metrics are synchronized, allowing marketing and business teams to work with the same numbers and interpret them consistently. This directly impacted decision-making speed: instead of searching for data, the team can immediately see what is happening and where growth opportunities exist.

The main value of this approach lies in the fact that the dashboard became part of daily operations rather than a formal reporting artifact. It shows not only results, but also the process itself — the user journey, channel effectiveness, and the contribution of specific products and pages.

Such a solution is especially relevant for businesses with multiple traffic sources, large assortments, or complex funnels, where seeing the full picture matters more than isolated data points.

At newage., we treat analytics not as a set of reports, but as a business management tool. That is why our dashboards are built around real business questions rather than tool capabilities, and become an integral part of teams’ day-to-day workflows rather than a separate analytical layer.

FAQ

Which businesses is this dashboard suitable for?

This solution is best suited for e-commerce and commercial projects with multiple traffic sources and a large number of products and pages. It is especially valuable for businesses where it is important to see the full user journey rather than isolated metrics from different tools.

Can the dashboard be adapted to other industries or business models?

Yes. The dashboard logic is modular, so its structure, metrics, and events can be adapted to different business needs — including lead generation projects, marketplaces, content-driven platforms, or services with non-standard funnels.

How easy is it to use such a dashboard?

The dashboard is designed to be intuitive and easy to use without deep analytics expertise. Core blocks provide a quick overview of the situation, while more detailed breakdowns are available when deeper analysis is needed.

Does the dashboard replace working with ad platforms and GA4?

No, but it significantly reduces the need to constantly switch between them. The dashboard aggregates key metrics and allows teams to quickly assess performance, while detailed optimization still takes place directly within the original tools when necessary.

How long does it take to implement a dashboard like this?

Timelines depend on business complexity, the number of data sources, and the current state of event tracking. Building a fully functional dashboard with a consistent logic includes setup, data validation, and final testing.