Bouquetdata 3.0: a new chapter in the way we analyze digital projects

At EMEXS, we’ve always based our work on data, digital engineering, analysis, and a results-oriented approach.

Our approach to digital marketing is based on a very clear idea: to grow a project, it’s not enough to simply take action. You have to measure, interpret, connect information, identify opportunities, and make informed decisions.

Now we’re taking a new step forward with Bouquetdata 3.0, the third evolution of our proprietary marketing intelligence tool.

We’re not talking about a brand-new tool built from scratch.

We’re talking about the evolution of a concept that EMEXS began developing years ago and that we’re now reimagining in the age of AI to better connect data, improve the analysis of each digital project, and lay the groundwork for new layers of analysis, digital health, GEO, AEO, and dialogue with AI.

Bouquetdata 3.0 incorporates in-house development tools, predictive models, and agent-based AI designed to improve performance in every aspect: efficiency, visibility, conversion, direct sales, markets, positioning, and decision-making.

Bouquetdata 3.0: the evolution of an in-house tool

Bouquetdata 3.0 marks the third evolution of our proprietary marketing intelligence tool.

The first version of Bouquetdata began as an online data dashboard with alerts. It was an early effort to create a more dynamic, connected, and actionable way to analyze digital projects.

Later, in 2022, we conceptualized a new evolution focused on predictive analytics and alert configuration for marketing teams, with the goal of anticipating relevant signals and enabling a faster response to opportunities or deviations.

Now, with Bouquetdata 3.0, we’ve brought all that learning together on a more robust proprietary technology platform, designed to better connect data, enhance internal analysis, incorporate layers of continuous improvement, and move toward new forms of AI-powered analysis.

This overview highlights one of EMEXS’s key differentiators: our ability to invest in proprietary technology thanks to our digital engineering department.

We don’t just work with external tools.

We also conceptualize, develop, and refine our own solutions tailored to our way of working and the real needs of our clients.

A unique technological path

Bouquetdata is part of a technological journey that EMEXS began years ago.

The first version began as an online data dashboard with alerts. It was an early effort to provide a more dynamic and connected digital view of projects.

However, at that time, many clients were not yet ready to replace the traditional PDF reporting model with an online environment for viewing and analyzing data. That’s why we adapted our approach and refocused on downloadable reports.

In 2022, we developed a new conceptual version focused on predictive analysis and the configuration of alerts for marketing teams.

The goal was to move toward a model capable of detecting relevant signals, anticipating deviations, and alerting teams to enable a faster response.

Now, in the age of AI, we’ve revisited, organized, and reimagined all that learning in Bouquetdata 3.0.

What is Bouquetdata 3.0

Bouquetdata 3.0 is the next evolution of our proprietary marketing intelligence tool.

It was developed by EMEXS to improve the way we analyze, interpret, and support each client’s digital transformation.

Its goal is to connect more information sources, improve performance analysis, and strengthen decision-making for digital projects.

Bouquetdata 3.0 combines reporting, internal analysis, market insights, engine data, discrepancy monitoring, integrations with external tools, predictive models, agent-based AI, continuous improvements, and future layers of digital health.

It's not just about presenting data.

It's about building a technological foundation to analyze it more effectively.

Agent-based AI and Predictive Models Applied to Marketing

Bouquetdata 3.0 incorporates agent-based AI applied to data prediction models that track trends.

This allows us to gain a more advanced understanding of how each project evolves, cross-referencing internal data with external signals and helping to detect patterns, behavioral changes, and potential opportunities.

The tool is designed to evolve progressively with new AI agents that expand its capabilities for analysis, interpretation, and querying.

The goal is to make marketing analysis increasingly connected, more accurate, and more actionable.

We’re not talking about AI as a cosmetic feature or an isolated function.

We're talking about AI applied to the analysis, performance, and continuous improvement of digital projects.

Bouquetdata Metrics: the first layer visible to customers

The first visible layer of Bouquetdata 3.0 for our customers will be Bouquetdata Metrics, the private metrics query environment accessible at: metrics.bouquetdata.com

Each client will receive an initial username and password. Once logged in, they can change their credentials and access their assigned projects.

Through Bouquetdata Metrics, clients can track the digital progress of their projects, access available data, view historical reports generated by the tool, and download information in PDF or CSV format.

What Bouquetdata Metrics includes

In this first phase, we have placed special emphasis on data accuracy, information reliability, and the usability of the reporting environment.

Bouquetdata Metrics will enable:

• Access the projects assigned to each client.
• View the available metrics for each project.
• View the project’s digital progress in an organized manner.
• View booking engine and market data sourced directly from the booking engine.
• View sales charts with market data sourced from the booking engine, unaffected by cookie tracking.
• Switch between users and sessions with a single click.
• Download the information as a PDF or CSV file.
• Access historical reports generated by the tool.
• Gradually incorporate continuous improvements into the analytics environment.
• In a later phase, implement a digital health layer to better understand the project’s positioning before the user reaches the company’s own website.
• In future phases, incorporate GEO and AEO tracking tools linked to the digital health layer.
• Gradually integrate new AI agents to expand analysis, interpretation, and query capabilities.

This first layer will provide a clearer and more organized overview of the project's progress, making it easier to track progress and engage in strategic discussions with each client.

In a second phase, we will continue to develop the tool and also improve the design of the downloadable PDF.

Internal layers for more accurate consulting

Bouquetdata 3.0 is not limited to the dashboard visible to the client.

The tool incorporates—and will continue to incorporate—internal layers of analysis that will form part of our consulting and monitoring work.

These layers will allow us to improve our overall understanding of the project and provide more context in each analysis.

Among them:

• Integration with SEO tools.
• Trend analysis.
• Integration with external sources.
• Monitoring of discrepancies.
• Predictive analytics layers.
• Agent-based AI applied to data prediction models versus trends.
• Continuous improvement layers.
• Detection of opportunities and deviations.
• Future GEO and AEO tracking tools.
• Gradual incorporation of new AI agents.Conexiones con herramientas de SEO.

Some features will be available directly to customers in Bouquetdata Metrics. Others will be internal tools that we will use to enhance our analysis, draw conclusions, and improve our strategic recommendations.

Disparity monitoring and predictive analysis

In industries such as hospitality, direct sales depend on many factors: visibility, price, availability, channels, markets, demand, campaigns, reputation, and digital experience.

Therefore, incorporating layers of disparity control and predictive analytics will allow us to strengthen our monitoring of key aspects that impact the competitiveness of the direct channel.

These layers will help detect deviations, identify patterns, and anticipate potential opportunities or risks as the project progresses.

All of this is based on one central idea: improving decision-making.

Digital health layer: understanding what happens before you reach the website

One of the upcoming developments in Bouquetdata 3.0 will be the addition of a digital health layer.

This layer will allow us to analyze a project’s positioning even before the user reaches its own website.

The goal is to broaden our understanding of the digital ecosystem by incorporating signals related to visibility, positioning, demand, trends, search engine presence, past behavior, and opportunities for improvement.

Because a project’s digital evolution doesn’t begin only when the user visits the website.

It begins earlier: in how the user searches, compares, discovers, and makes decisions.

GEO and AEO: new digital visibility indicators

The way users search, compare, and make decisions is changing.

That’s why, as part of the evolution of Bouquetdata 3.0, we’ll be incorporating tools for tracking GEO and AEO, connected to the future digital health layer.

The goal will be to better understand how a project appears, is interpreted, and is positioned in new search and response environments, especially in a scenario where AI is beginning to play an increasingly important role in digital visibility.

These new layers will help us analyze not only what happens on the website, but also what happens before the user even reaches it.

A foundation for dialogue with AI

Bouquetdata 3.0 is built on a foundation designed so that, at a later stage, we can interact with the data using AI.

This will allow us to evolve from traditional reporting and analysis toward new forms of querying, interpretation, and assisted analysis.

In future phases, Bouquetdata Metrics will incorporate more AI agents to expand its capabilities for analysis, querying, and interpretation.

The goal is for information to not only be available but also to be explored, queried, and analyzed more efficiently.

We're not talking about replacing the team's judgment.

We're talking about enhancing it with a better-structured database, predictive models, agent-based AI, and new intelligence capabilities applied to digital marketing.

The EMEXS advantage: digital engineering applied to marketing

Bouquetdata 3.0 reflects one of EMEXS’s key differentiators: our ability to invest in our own technology thanks to our digital engineering department.

We don’t rely solely on external tools.

We are able to conceptualize, develop, and evolve our own solutions tailored to our way of working and to the real needs of our clients.

This allows us to combine digital strategy, engineering, growth marketing, data, analytics, applied AI, and consulting into a single approach.

Bouquetdata 3.0 is an example of that vision: proprietary technology at the service of marketing, decision-making, and continuous improvement.

From data to decision

Our goal is for every client to have an increasingly comprehensive view of their digital project.

A view that allows for a better understanding of trends in performance, sales, markets, visibility, conversion, and opportunities for improvement.

Bouquetdata 3.0 was created for this very purpose: to transform scattered data into useful insights and turn those insights into actionable decisions.

Because the future of digital marketing won’t just be about having more data.

It will be about knowing how to connect, interpret, and use that data more effectively.  
 

At EMEXS, we build the digital future of brands through strategy, digital engineering, growth marketing, data, and AI applied to analytics.

Bouquetdata 3.0 is another step in that direction: a proprietary tool for analyzing, supporting, and advancing our clients’ digital projects.