analítica Google tag manager Google Analytics Empoleo Social media Eventos looker ia google visualización de datos paywall business medios de comunicación datos contenidos marketing
7 February, 2025 POR Albert Ventura

Real-Time CDP Adobe

Adobe Real-Time CDP is an application service based on Adobe Experience Platform that combines data from both known and unknown customers, from acquisition to loyalty, to create trusted customer profiles with simplified integration, intelligent segmentation, and real-time activation throughout the customer’s digital journey. It helps capture more customers and optimize the audience, enriching the top of the funnel without the need for third-party cookies.

Some of the advantages of Adobe's Real-Time CDP are:

Provides an actionable view of customers


It collects and unifies personal and business data, both known and unknown, external and internal, as activity occurs to personalize B2B and B2C experiences in real time and form complete account profiles. This considers attributes and behaviors to understand customer identities at all levels. In addition, advanced segmentation and an optimized user interface allow data management and processing without the need for technical assistance.

Makes sense of data, regardless of the source


It captures data from various channels and systems, translating it into a common language to be accessed from any system and streamline personalization processes. It also simplifies implementation, reducing code and setup time, and is integrated with a wide network of partners and pre-designed applications that accelerate campaign setup.

Uses reliable, secure data management tools


It ensures responsible marketing and secure use of data, complying with data governance regulations in each region by classifying and labeling data to manage access and usage. This helps identify inappropriate access or destinations and sends alerts when data policies are not being followed. This applies to both known and unknown identifiers.

Activates B2C and B2B experiences based on real-time data


Pre-designed B2B and B2C integrations enable real-time activation and make the most of the most up-to-date profiles to design personalized experiences across all channels, reaching new customers and strengthening relationships with them. It also triggers automated responses and campaign associations based on customer activity, measuring all types of events in real time. This ensures that customer experiences are relevant at all times, personalizing the site in real-time.

Enables data-driven workflows


It generates insights about customers with data science features, allowing the automation of analysis and specific workflows with unified profiles to create more complete and accurate segments. Using SDKs and personalization tools, we can easily implement data, and with AI, we can identify information, predictions, and sales opportunities.

All of this makes it a unique tool for processing data in real-time and optimizing the customer experience on our website.

SEGUIR LEYENDO
7 February, 2025 POR Albert Ventura

Rankings in Adobe Analytics

In this article, we will explain how to upload data to categorize it into different variables in Analytics, which can be used in most custom dimensions.

Once the dimension contains data, you have a new dimension to use in reports and perform deeper analysis with more segmented data. For example, we can classify product IDs based on product name, product type, color, or size.

There are different ways to classify data:

  • Classification sets: (Components -> Classification sets) You can create and manage classifications and their rules in a single interface.
  • Classification rules: (Admin -> Classification rule builder) You can create rules to assign a specific dimension element to a classification element, for example, using regular expressions.
  • Classification importer: (Admin -> Classification importer) You can export a spreadsheet template with dimension elements in each row, where columns correspond to each classification of a dimension.

In this article, we will focus on the last method of classifying data, which is typically used when all the dimension elements are known and no constant updates are required.

In this case, the data we import must have a specific format. Adobe offers the opportunity to download a data template with this format, where we can add the new data we want to classify and then import the file using an FTP. However, we can also import a file containing the data created by a text editor, respecting tabulation for rows, which represent each dimension element we want to classify, and columns, which represent each classification of a dimension.

But in order to classify the data, we need to first create the different classifications for each dimension we want to segment. To do this, we need to go to Admin -> Report Suites -> Edit Settings, where we can define the hierarchical trees for each dimension.

Adobe allows us to modify or delete a data upload if we made a mistake in a dimension in a classification. To modify a data upload, all we need to do is re-upload the row with the dimension element where the error occurred in a new data file, and it will automatically be corrected in Adobe. If we want to delete a classification, we have two options: If we want to delete just one dimension in an element, we write empty in the column we want to delete, and if we want to delete an entire row, we write deletekey in the last column of the row we want to remove.

I hope this is useful and that you can apply it in your daily work.

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11 February, 2025 POR Sara Fernández
Artificial Intelligence Automatisation creativity

Creativity and AI: Strategic Allies

Creativity has been for centuries one of the most unique and valuable characteristics of human beings. It is the result of imagination, emotion and a personal touch that allows us to develop innovative and artistic ideas. However, with the rise of technology and artificial intelligence (AI), we are faced with a question that has generated debate: is AI a friend or a competitor in the creative industries? In this article, we will focus on how AI can function as a strategic ally, enhancing creativity in both B2B and B2C environments.

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11 February, 2025 POR Jaume Riera
ecommerce Artificial Intelligence digital transformation conversational search

Transformation of digital commerce due to generative AI

The way we interact with websites and search for products has undergone a radical transformation in recent years. Thanks to advancements in generative artificial intelligence (AI) and conversational search, the online shopping process has become more intuitive and efficient. In this article, we explore how these advancements can optimize the shopping experience on websites, present use cases in both B2B and B2C sectors, and discuss how large companies can integrate these technologies to stay competitive.

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10 February, 2025 POR David Bigorra
automatización Artificial Intelligence digital transformation prompt engineering

How to Train a Better AI: Mastering the Art of Prompt Engineering

The technological advancement of Artificial Intelligence (AI) is transforming numerous sectors. However, its true potential lies in the efficiency with which we communicate with it. This is where "Prompt Engineering" comes into play—a technique focused on designing and optimizing prompts used to interact with AI models, thereby improving their responses and results.

What is Prompt Engineering?

Prompt Engineering is a meticulous process of creating and fine-tuning prompts or instructions directed at an AI model to generate specific and precise results. Essentially, it involves understanding how to formulate questions or provide contextual data so that the machine can "think" in a way that aligns with our expectations.

Since AI models are designed to follow textual instructions, the art of crafting effective prompts becomes a decisive factor in maximizing their potential. This approach not only enhances response quality but also expands the ways in which AI can be applied across different industries.

Use Cases in B2B and B2C

Prompt Engineering has significant applications in both B2B and B2C platforms. Here are some concrete examples:

B2B

  • Customer Service Automation: Companies operating in the B2B sector can use prompt engineering to optimize customer service chatbots. By crafting clear and specific prompts, chatbots can better understand professional inquiries, providing precise and efficient responses, thus improving customer satisfaction and reducing response time.
  • Data Analysis and Report Generation: Data analysts can use well-designed prompts to extract critical insights from large data sets. This enables companies to generate comprehensible reports for stakeholders quickly, facilitating strategic decision-making.

B2C

  • Marketing Personalization: Through prompt engineering, businesses can create more effective consumer-targeted marketing campaigns. By using key phrases and messages that resonate with their audience, AI can generate more engaging content that enhances customer loyalty.
  • Product Recommendations: E-commerce platforms can leverage this technique to improve recommendation systems. With optimized prompts, AI can better understand customer preferences and suggest products that truly meet their desires and needs.

Implementation in Large Enterprises

Effectively implementing prompt engineering in a large company requires a well-defined and collaborative strategy. Here are some essential steps to integrate it successfully:

Needs Assessment

First, it is crucial to conduct a thorough evaluation of the company's needs. In which specific areas can AI provide the greatest competitive advantage? How can optimized prompts help achieve these goals? This analysis will help outline a focused and effective implementation plan.

Team Formation

Next, it is essential to form interdisciplinary teams that include both AI experts and professionals from the departments that will benefit from this technology. These teams will be responsible for crafting and refining prompts to ensure they align with organizational goals.

Continuous Testing and Optimization

Prompt engineering is not a static process. Continuous testing and adjustments are necessary to improve results progressively. Since AI learns from data and interactions, prompts must evolve to provide it with relevant and goal-oriented information.

Performance Evaluation

Finally, companies must establish clear metrics to evaluate the impact of optimized prompts. This includes performance indicators such as response time and the accuracy of AI-generated results. Constant evaluation will help identify areas for improvement and consolidate the effective use of AI within the organization.

Conclusion

Prompt engineering is more than just a technique; it is a catalyst for unlocking the full potential of artificial intelligence. By refining the way we communicate with AI models, we enhance their efficiency and ability to solve real-world business challenges in both B2B and B2C environments.

Implementing this technique in a large enterprise may seem daunting, but with the right strategy, well-trained teams, and a focus on continuous improvement, it is possible to transform human-AI interaction into a powerful tool for innovation and growth.

Those who master the art of prompt engineering will be better positioned to lead in an increasingly competitive and technology-driven business landscape.

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10 February, 2025 POR Eric Morera
automatización Artificial Intelligence gemini

Google revolutionizes AI with the launch of Gemini 2.0

In the rapidly evolving world of artificial intelligence, where every breakthrough marks the beginning of a new era of innovation, Google has taken a significant step forward with the launch of Gemini 2.0. This new family of AI models promises to revolutionize how businesses—both B2B and B2C—operate and create value. In this article, we will explore what this advancement means for large enterprises and how they can leverage these innovations to enhance operations and drive innovation.

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7 February, 2025 POR Martí Antentas
Data-Driven Google Analytics 4 Looker Studio

Step-by-step guide: how to create a funnel in Looker Studio.

Funnel visualizations show, sequentially, the user journey towards conversion.

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7 February, 2025 POR Laura Cloquell
Google Analytics 4 Analytics Big Query

BigQuery + GA4: Page Navigation Report

If you've been working with GA4 for some time, you may have noticed that certain dimensions and metrics that were available in Universal Analytics are not present in GA4. For example, the Navigation report, where we could select a URL from our website and it would show the previous and next page paths in percentages, is no longer available:

 

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7 February, 2025 POR Oriol Ribó
Google Analytics 4 funnel

How to visualize a purchase funnel or purchase journey in the Reports section of Google Analytics 4?

 

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7 February, 2025 POR Martí Antentas
Analítica Adobe Analytics Sequential segmentation

Sequential segmentation in Adobe Analytics.

Analyze and understand user behavior

SEGUIR LEYENDO
7 February, 2025 POR Albert Ventura
CDP Analytics Adobe Analytics

Real-Time CDP Adobe

Adobe Real-Time CDP is an application service based on Adobe Experience Platform that combines data from both known and unknown customers, from acquisition to loyalty, to create trusted customer profiles with simplified integration, intelligent segmentation, and real-time activation throughout the customer’s digital journey. It helps capture more customers and optimize the audience, enriching the top of the funnel without the need for third-party cookies.

Some of the advantages of Adobe's Real-Time CDP are:

Provides an actionable view of customers


It collects and unifies personal and business data, both known and unknown, external and internal, as activity occurs to personalize B2B and B2C experiences in real time and form complete account profiles. This considers attributes and behaviors to understand customer identities at all levels. In addition, advanced segmentation and an optimized user interface allow data management and processing without the need for technical assistance.

Makes sense of data, regardless of the source


It captures data from various channels and systems, translating it into a common language to be accessed from any system and streamline personalization processes. It also simplifies implementation, reducing code and setup time, and is integrated with a wide network of partners and pre-designed applications that accelerate campaign setup.

Uses reliable, secure data management tools


It ensures responsible marketing and secure use of data, complying with data governance regulations in each region by classifying and labeling data to manage access and usage. This helps identify inappropriate access or destinations and sends alerts when data policies are not being followed. This applies to both known and unknown identifiers.

Activates B2C and B2B experiences based on real-time data


Pre-designed B2B and B2C integrations enable real-time activation and make the most of the most up-to-date profiles to design personalized experiences across all channels, reaching new customers and strengthening relationships with them. It also triggers automated responses and campaign associations based on customer activity, measuring all types of events in real time. This ensures that customer experiences are relevant at all times, personalizing the site in real-time.

Enables data-driven workflows


It generates insights about customers with data science features, allowing the automation of analysis and specific workflows with unified profiles to create more complete and accurate segments. Using SDKs and personalization tools, we can easily implement data, and with AI, we can identify information, predictions, and sales opportunities.

All of this makes it a unique tool for processing data in real-time and optimizing the customer experience on our website.

SEGUIR LEYENDO
7 February, 2025 POR Albert Ventura
Automatisation Adobe Analytics

Rankings in Adobe Analytics

In this article, we will explain how to upload data to categorize it into different variables in Analytics, which can be used in most custom dimensions.

Once the dimension contains data, you have a new dimension to use in reports and perform deeper analysis with more segmented data. For example, we can classify product IDs based on product name, product type, color, or size.

There are different ways to classify data:

  • Classification sets: (Components -> Classification sets) You can create and manage classifications and their rules in a single interface.
  • Classification rules: (Admin -> Classification rule builder) You can create rules to assign a specific dimension element to a classification element, for example, using regular expressions.
  • Classification importer: (Admin -> Classification importer) You can export a spreadsheet template with dimension elements in each row, where columns correspond to each classification of a dimension.

In this article, we will focus on the last method of classifying data, which is typically used when all the dimension elements are known and no constant updates are required.

In this case, the data we import must have a specific format. Adobe offers the opportunity to download a data template with this format, where we can add the new data we want to classify and then import the file using an FTP. However, we can also import a file containing the data created by a text editor, respecting tabulation for rows, which represent each dimension element we want to classify, and columns, which represent each classification of a dimension.

But in order to classify the data, we need to first create the different classifications for each dimension we want to segment. To do this, we need to go to Admin -> Report Suites -> Edit Settings, where we can define the hierarchical trees for each dimension.

Adobe allows us to modify or delete a data upload if we made a mistake in a dimension in a classification. To modify a data upload, all we need to do is re-upload the row with the dimension element where the error occurred in a new data file, and it will automatically be corrected in Adobe. If we want to delete a classification, we have two options: If we want to delete just one dimension in an element, we write empty in the column we want to delete, and if we want to delete an entire row, we write deletekey in the last column of the row we want to remove.

I hope this is useful and that you can apply it in your daily work.

SEGUIR LEYENDO
7 February, 2025 POR Cynthia
automatización Salesforce lead nurturing marketing cloud

How to Create a Lead Nurturing Flow with Marketing Cloud

In today's digital marketing landscape, automation is key to optimizing the customer experience and increasing conversions. Lead nurturing is a strategy that aims to build relationships with prospects at every stage of the sales funnel through personalized content delivered at the right moment.

Salesforce Marketing Cloud is one of the most powerful platforms for automating and personalizing interactions, making it ideal for implementing this strategy. In this article, we’ll explore in detail how to design an effective lead nurturing flow using this tool, from setting objectives to continuous optimization.

What is Lead Nurturing and Why is It Important?

Lead nurturing involves building relationships with potential customers through relevant, personalized, and continuous communications. Its primary goal is to educate leads and guide them towards decision-making, thereby increasing conversion rates.

Some key benefits include:

  • Higher Conversion Rates: Well-nurtured leads are more likely to make a purchase.
  • Better Customer Experience: Personalization builds trust and loyalty.
  • Optimized Sales Team Time: With an automated flow, the team can focus on qualified leads.

With Marketing Cloud, you can integrate data from multiple sources, automate campaigns, and measure results in real-time, making it an indispensable tool.

Steps to Create an Effective Lead Nurturing Flow

1. Define Your Objectives and Segment Your Audience

Before you start, it's crucial to identify what you hope to achieve with your strategy. Some example objectives include:

  • Increase lead conversions by 20%.
  • Reduce conversion time by 15%.
  • Increase the retention rate of existing customers.

Audience Segmentation

Use tools like Marketing Cloud's Contact Builder to analyze and group your leads by:

  • Demographics: Age, location, gender.
  • Behavior: Cart abandonment, resource downloads, social media interactions.
  • Sales Funnel Stage: Cold or hot leads.

Precise segmentation ensures each lead receives relevant and timely messages.

2. Design the Customer Journey

The Customer Journey is the heart of your lead nurturing strategy. In Marketing Cloud, you can design this journey with Journey Builder, a tool that allows you to map out each interaction visually and logically.

Key Elements of the Customer Journey:

  • Initial Triggers: Define the event that starts the flow, such as subscribing to a newsletter or abandoning a shopping cart.
  • Touchpoints: Include emails, SMS messages, push notifications, or personalized ads.
  • Conditions: Personalize the flow based on lead actions, such as opening an email, clicking a link, or not responding within a specific timeframe.

Practical Example:

Let’s say a user registers on your website. The flow could include:

  • A welcome email with an exclusive discount.
  • A second email with educational content (eBook or guide).
  • A reminder about the initial offer if the user does not make a purchase within 5 days.
  • A personalized SMS with recommendations if the lead abandons their cart.

3. Create Relevant and Engaging Content

Content is the engine that drives your lead nurturing flow. Ensure each piece adds value and motivates leads to move further down the sales funnel.

Key Strategies for Content:

  • Email Marketing:

    • Include an attractive subject line with the main keyword.
    • Personalize the body of the message using the customer’s name and preferences.
    • Add a clear call to action, like "Download your guide now."

  • Landing Pages:

    • Optimize them for conversion, ensuring they are fast, responsive, and visually appealing.
    • Include testimonials or case studies to build trust.

  • Visual Content:

    • Incorporate relevant images and videos.
    • Use SEO-optimized alt text.

Using Einstein Recommendations:

This Marketing Cloud feature allows you to suggest content or products based on previous customer interests and behaviors, increasing relevance and click-through rates.

4. Automate and Measure Results

Automation is one of Marketing Cloud’s main advantages. Set up your flow to work automatically but stay alert to key metrics.

Essential KPIs:

  • Open Rate: Indicates the effectiveness of the email subject line.
  • Click-Through Rate (CTR or CTOR): Measures the interest generated by the content.
  • Conversions: Verifies how many leads completed the desired action.
  • Abandonment Rate: Identifies where leads lose interest in the flow.

Analysis Tools:

Use Marketing Cloud’s dashboards to monitor these metrics and identify areas for improvement.

5. Continuous Optimization

An effective lead nurturing flow must evolve over time. Use the data collected to make strategic adjustments:

  • A/B Testing: Experiment with different subject lines, CTAs, or email designs to identify what works best.
  • Advanced Segmentation: Update your segments with new data to personalize interactions even further.
  • Direct Feedback: Surveys or forms can help you better understand the needs and expectations of your leads.

Practical Example of Optimization:

If you notice a low click-through rate on educational emails, consider adjusting the content to make it more interactive, such as including a tutorial video or explanatory graphics.

Conclusion

Implementing a lead nurturing flow with Marketing Cloud is a strategic investment that can transform the way your business interacts with leads. From initial segmentation to continuous optimization, each step plays a crucial role in the success of your campaign.

With Marketing Cloud, you can not only automate processes but also offer personalized experiences that strengthen relationships with your prospects and customers. Are you ready to take your marketing strategy to the next level?

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7 February, 2025 POR Luz Castillejo Flor
crm Hubspot token update

New HubSpot CRM Update

In the ever-evolving business world, staying up-to-date with new tools and features is essential for success in digital marketing. One such change is coming on April 16, 2025, with the HubSpot CRM update, designed to revolutionize email marketing personalization by including both the date and time stored within the CRM.

In this article, we’ll explore the benefits of this update, its application in both B2B and B2C companies, and how large corporations can make the most of this enhancement.

The Importance of Personalization in Marketing

Personalization is one of the most effective strategies in marketing, as it creates more relevant experiences for customers and significantly improves open rates, click rates, and conversions in email marketing campaigns.

With HubSpot's new functionality, allowing the use of both date and time in personalization tokens, businesses can take their strategies to the next level.

Advantages of Including Date and Time in Emails

  • Greater Relevance: Including specific details such as the date and time in emails enhances the relevance of the message. For example, an email that includes the exact date and time of an offer creates a greater sense of urgency.
  • More Precise Segmentation: The ability to pinpoint the exact time of previous interactions allows marketing teams to send messages at strategic moments.
  • Increased Conversion Rates: The combination of relevance and accurate segmentation makes it more likely that recipients will respond to the call to action, whether it's making a purchase or registering for an event.

Applications in B2B and B2C Sectors

  • Usage in B2B Companies

In the B2B sector, where relationships and sales cycles are usually longer, precision in communication is crucial.

  • Meeting Reminders: Businesses can schedule personalized emails with the exact date and time of upcoming meetings or demos.

  • Post-Meeting Follow-ups: A scheduled message outlining next steps or including specific documentation strengthens relationships with potential clients.

  • Usage in B2C Companies

B2C companies can also greatly benefit from this feature in their promotional campaigns.

  • Flash Sales and Promotions: A retailer can send emails not only informing customers of a special sale but also detailing the exact time when the offers will be available.
  • Automated Communications: Subscription services can send reminders with the date and time of the next delivery, enhancing the customer experience.

Implementation in Large Companies

Large corporations face both challenges and opportunities when implementing new features. A well-planned strategy can ensure the success of this update.

Strategies for Successful Implementation

  • Integration with Existing Systems: It's essential to synchronize HubSpot CRM with other management tools to ensure smooth operations.
  • Staff Training: Investing in team training through workshops and reference materials will help maximize the use of the new feature.
  • Measurement and Optimization: Setting clear metrics to evaluate the impact of this improvement on marketing campaigns will allow for real-time adjustments and optimizations.

Conclusion

The HubSpot CRM update to include date and time in personalization tokens marks a significant advancement for businesses looking to optimize their communication with clients.

In both B2B and B2C environments, this feature improves message relevance, enables more precise segmentation, and boosts conversion rates. Large companies that adopt this tool and integrate it strategically will be better positioned to stand out in a competitive market.

Detailed and strategic email marketing personalization is not just a trend, but a proven path to business success.

SEGUIR LEYENDO
7 February, 2025 POR Luz Castillejo Flor
ecommerce conversion rate atribution

Is the Lack of Attribution in Conversions a Problem for My Business?

In today's digital environment, accurate attribution of conversions is essential for businesses to optimize their marketing strategy and make informed decisions. The primary goal of addressing this issue is to ensure that businesses have a clear and precise view of which campaigns and channels are driving the desired results, such as sales, registrations, or valuable interactions.

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7 February, 2025 POR Arnau Paniagua
crm Data management API

Introduction to Validation in the CRM Import Process

CRM (Customer Relationship Management) tools are essential for effectively managing customer relationships, both in B2B and B2C environments. One of the most important functionalities in any CRM platform is the ability to import data in a structured and efficient manner.

In this article, we will analyze how the CRM Import API is improving its process by incorporating a validation that ensures that the required records contain the necessary properties to create new object entries. This update is especially significant for large companies looking to optimize their internal processes.

Importance of Required Properties in CRM

When working with objects in a CRM system, each type of object (such as deals, contacts, or companies) has specific properties that are essential for creating a valid record.

For example, in the case of Deals, it is essential that each record has a "Deal Name." These properties function as the DNA of the records, ensuring the consistency and integrity of the stored data.

When required properties are absent or incorrect, errors are generated that can negatively impact business operations. This is especially critical in large companies, where the scale and complexity of the data can amplify problems. Therefore, the validation function during the import process is a welcome improvement.

Validation in the Import Process with the CRM Import API

The new validation functionality in the CRM Import API marks a milestone in the way data is ingested by customer relationship management systems. This functionality is activated when the import options map (importOptions) has a value of "CREATE" in the import request (importRequest).

Benefits of Validation in the Import Process

Data Quality Guarantee

By ensuring that all imported records contain the necessary properties, the quality of the data in the system is significantly improved. This is crucial for generating accurate reports and making informed decisions.

Error Reduction

Validation helps identify and correct errors before the data enters the system, which saves time and resources in data cleaning later.

Efficiency Improvement

By having a cleaner data process from the start, the time that teams spend on reviewing and manually correcting errors is reduced. This allows them to concentrate on higher value-added activities.

Use Cases in B2B and B2C Environments

Implementation in B2B Services

In a B2B environment, a company that sells software to other organizations may need to import large amounts of data from potential customers or existing accounts.

By validating each record during import, it is ensured that all necessary records (such as customer accounts and relevant contacts) are complete. This level of detail allows sales teams to better prioritize leads and, at the same time, improves communication by having all the necessary information from the start.

Example in the B2C Environment

Consider a retail company that wishes to import the purchase data and customer profiles from its point-of-sale system to its CRM.

Validation ensures that for each transaction, the correct product, payment method, and customer information are recorded. This allows for better handling of consumer behavior and offering personalized loyalty programs.

How to Implement These Improvements in a Large Company

For large companies, implementing this validation functionality during the import process is a strategic move towards more robust data management. Here are some key steps to achieve this:

Audit of Existing Data

Before starting, it is vital to conduct an audit of the existing data to identify missing items in terms of required properties. This facilitates data correction before future imports.

Training of Internal Teams

Allocate time to train relevant team members on the new validation process. A clear understanding of the requirements will avoid errors in the long term.

Integration with Other Systems

Validation should be integrated not only with the CRM, but with other data systems to ensure that information flows correctly and without interruption between platforms.

Constant Monitoring

Use monitoring tools to examine data quality regularly. This allows for the detection of potential problems in time and adjusts the processes accordingly.

Feedback and Continuous Improvements

Request feedback from system users to identify areas for improvement. In a corporate environment, continuous improvement ensures rapid adaptations to market changes.

Conclusion

The new validation functionality of the CRM Import API is a positive change for companies looking to optimize the quality of their data and the efficiency of their operations.

Implementing these improvements not only helps prevent errors before they occur, but also allows companies to consolidate a cleaner and more effective data repository, which is crucial in a competitive market.

In both B2B and B2C environments, these practices not only facilitate smoother operations, but also offer a better customer experience.

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7 February, 2025 POR Sara Fernández
automatización Artificial Intelligence software LlaMA

Understanding Code Through AI

In a world where digital transformation is revolutionizing every sector, artificial intelligence (AI) has become a key tool for improving operational efficiency and decision-making in businesses. The automation of processes, the visualization of code execution flow, and the analysis of large volumes of data are taking digital analytics and CRM to new heights. In this article, we explore how AI tools, such as LLaMA, are impacting digital analytics and how these technologies are effectively integrated into businesses, both in the B2B and B2C spheres.

AI as an Engine of Transformation in Digital Analytics and CRM

The automation of data analysis and the improvement of CRM systems are not a luxury, but a necessity in today's competitive environment. Companies that want to optimize their ability to understand and act on their customer information must take advantage of the most advanced tools available, such as LLaMA, a cutting-edge AI model. These types of tools allow for a quick and accurate understanding of data, which improves both strategic decision-making and daily operations.

LLaMA and Graph Analysis: The Future of Digital Analytics

LLaMA is not just a tool for software developers; its capabilities go beyond the realm of code. By integrating graph analysis into its core, LLaMA enables the clear visualization of the execution flow of the processes that support data analysis. This automation of complex tasks makes it easier for companies to:

  • Optimize data integration: B2B companies that integrate multiple data analysis platforms can do so more quickly and accurately, avoiding human errors.
  • Improve decision-making: By having real-time visibility into the data flow and its interpretation, decisions can be based on more accurate and up-to-date information.

Benefits of AI for B2B Companies

In the B2B sector, digital analytics plays a crucial role in informed decision-making. The automation of large data volume analysis, platform integration, and efficient CRM management are fundamental to improving operational efficiency.

Optimization of Operational Processes and CRM

Companies that manage large volumes of data or customer interactions can benefit greatly from automated data flow visualization. Tools like LLaMA allow analysis teams to understand the available data more quickly, leading to more agile and less error-prone processes. In addition, in the case of CRMs, automation allows for improved customer segmentation and more effective personalization of the user experience.

Identification of Inefficiencies and Opportunities

The analysis of the execution flow can help companies identify bottlenecks in their analytics systems or in customer service processes. With AI, it is possible to automate the detection of inefficiencies, which improves both the customer experience and the company's operating results.

Impact on the B2C Sector

In the B2C environment, the customer experience is a determining factor in competitiveness. Advanced tools such as LLaMA not only allow optimizing the performance of applications or platforms used by consumers, but also help to ensure the security and reliability of data, which generates trust in end users.

Improvement in Customer Personalization

AI allows companies to personalize the user experience in a much more precise and effective way, managing the data flow and ensuring that customer information is used strategically to optimize interactions. Powerful CRM systems can segment customers more efficiently, leading to more effective marketing campaigns and increased satisfaction.

Optimization of the Shopping Experience

For example, in the e-commerce sector, automation in analytics allows companies to detect patterns in shopping behavior and improve the user experience in real time. Developers, with the help of AI, can quickly identify technical problems, such as slow loading times, and solve them, ensuring a smooth and uninterrupted experience.

Effective Implementation of AI in Large Companies

Adopting tools such as LLaMA and other AI solutions in data analysis and CRM is not just a matter of incorporating technology; it requires a strategic approach to ensure successful implementation. For large companies to effectively integrate the automation of data flow visualization, they must follow some essential steps:

  • Training and development of internal talent: Companies must ensure that their staff is trained to work with advanced AI tools. Technical training and education on how to implement these technologies effectively will be key to success.
  • Interdepartmental collaboration: The implementation of AI in digital analytics and CRM is not just a task for the IT department. It is crucial that the marketing, sales, and customer service teams work together to maximize the value that these technologies can bring to all areas of the company.
  • Continuous evaluation and improvements: Implementing AI and analyzing the data flow is an ongoing process. Companies must establish mechanisms for constant evaluation to measure the impact of these tools on their analytics and CRM processes, and be prepared to make adjustments as necessary.

Adaptation to the Digital Analytics Sector

At Hike & Foxter, as a consulting firm specializing in digital analytics, CRM, and AI, we understand the importance of adapting the latest technological innovations to the analysis of large volumes of data and the improvement of customer management systems. The automation and visualization of code execution flow through AI are powerful tools that allow optimizing digital analytics processes accurately and efficiently.

By integrating these technologies, companies can improve the performance of tools such as Google Analytics, Adobe Analytics, and other CRM systems, facilitating decision-making based on more solid and up-to-date data. Automated data visualization allows for the rapid identification of patterns and behaviors within customer data, improving segmentation and personalization of marketing campaigns. In addition, automation reduces the time and effort required to process data, allowing analytics and marketing teams to focus on generating more effective strategies.

Conclusion

The automation of data analysis and the visualization of the execution flow through AI is transforming the way companies manage their operations and customer relationships. Tools such as LLaMA allow not only greater efficiency in software development, but also a significant improvement in the effectiveness of digital analytics and CRM strategies. For companies seeking to remain competitive in a digital world, adopting these technologies is essential. As technology evolves, the effective integration of AI will be key to offering innovative solutions that continue to meet market demands and customer satisfaction.

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7 February, 2025 POR Arnau Paniagua
crm Data management API Property Validation

The Importance of Validating Properties in CRM

n today's business world, Customer Relationship Management (CRM) systems are essential for companies of all sizes. The ability to store and analyze detailed customer information can make or break a business. However, the value of a CRM is entirely dependent on the quality of the data it holds.

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7 February, 2025 POR Alberto Company
automatización ia chatgpt deepseek

ChatGPT vs DeepSeek: An Artificial Intelligence Showdown

Artificial intelligence (AI) has stopped being a technology of the future to become an essential component of the digital transformation that companies face today. Tools like ChatGPT and DeepSeek have revolutionized the way we interact with data, allowing us to automate processes, optimize decision-making and improve the user experience.

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30 January, 2025 POR Eric Morera
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The Perfect Alliance: AI and Crypto

In recent years, the evolution of Artificial Intelligence (AI) and blockchain technology has revolutionized several sectors. One of the most promising developments has been the merger of AI and cryptocurrencies. In both B2B and B2C, this alliance has proven to be a powerful tool for improving processes, optimizing investments and personalizing user experiences. In this article, we will explore how these technologies are transforming businesses and their potential for the future.

In this article, we will explore how these technologies are transforming businesses and their potential for the future.

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21 January, 2025 POR Martí Antentas
CRO Adobe Analytics

CRO at Adobe Target: type of activities

Adobe Target is Adobe Experience Cloud's CRO tool, which allows you to customize your website, mobile apps and other devices to enhance, personalize and optimize the user experience.

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21 January, 2025 POR Martí Antentas
Looker Studio

Looker Studio: Email Access Restriction Step by Step

Have you ever contemplated the idea of restricting access to certain data within your Looker Studio dashboard? In this article we'll explain how to limit access by using email filters, ensuring that only certain users have access to specific information.

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21 January, 2025 POR Arnau Paniagua
crm Hubspot planning data migration

Planning necessary migrations between HubSpot accounts

Migrating between HubSpot accounts can seem like a complex task, both technically and organizationally, so proper preparation is done to make the migration a success. This migration process is executed in scenarios such as consolidation between multiple accounts, restructuring a business, or moving data to a more advanced account.

Migration between HubSpot accounts can seem like a complex task, both technically and organizationally.

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15 January, 2025 POR Alberto Company
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How AI affects the role of the salesperson

In a world where digital transformation is our daily bread, artificial intelligence (AI) has become a fundamental pillar for sales strategies. As a specialist sales consultant, I am experiencing firsthand how AI is redefining the role of account executives, opening up a range of opportunities and challenges.

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15 January, 2025 POR Oriol Ribó
Looker Studio dashboard interactive content

Dashboard's in Looker Studio interactive on your website

As many of you may know, Looker Studio is a tool that allows you to create Dashboard's to visualize data from different sources.

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15 January, 2025 POR Laura Cloquell
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BigQuery + GA4: Output Pages Report

Remember from Universal Analytics the output reports? 

It was a default report that was within the behavioral heading under Content or Site content in which this table

was displayed.
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15 January, 2025 POR Laura Cloquell
Analítica Google Analytics 4 Big Query

BigQuery + GA4: Page Navigation Report

If you've been messing around with GA4, you will have already noticed that there are certain dimensions and metrics that were in Universal Analytics, and that are not in GA4, for example, the Navigation report in which we chose a url of our website and indicated in percentages the path of the previous page and the path of the next page:

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14 January, 2025 POR Martí Antentas
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Metrics selector: Discovering lookerstudio parameters

Have you ever wanted to display different metrics in the same visualization without having to reconfigure it? If so, you've most likely had to resort to the optional metrics.

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14 January, 2025 POR Laura Cloquell
Data-Driven Google Analytics 4 Looker Studio

AG4: Comparisons, segments

If you have tried working with GA4, you have probably noticed that there are different techniques available for "segmenting" data for analysis or creating subsets of data based on specific conditions.

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14 January, 2025 POR Júlia Quintana
Analytics statistic

The Relationship between Statistics and Digital Analytics

Introduction

In the digital age, data plays a crucial role in almost every aspect of life. Companies are increasingly relying on data to make strategic decisions. This is where statistics and digital analytics merge, forming a foundation for the effective interpretation and use of this massive data. This article explores the relationship between the two disciplines, looking at key statistical techniques and their application in the digital business environment.

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14 January, 2025 POR Arnau Paniagua
Hubspot partners sales process

Templates and new sequence dynamics in HubSpot

In the marketing and sales environment, efficiency is everything. The templates and sequences in HubSpot have become an essential tool for teams looking to automate tasks and focus on what really matters: closing business and nurturing customer relationships. Thanks to these functionalities, it is possible to personalize communications on a large scale without losing that human touch that makes the difference. In this article, we show you how to make the most of HubSpot's templates and sequences to empower your strategy and optimize every interaction with your contacts. It's time to transform the way you work!

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13 January, 2025 POR Sara Fernández
crm Artificial Intelligence

Last call for humans

As technologies advance and AI becomes more sophisticated, the question of whether artificial intelligence (AI) will replace humans in different areas is becoming more and more recurrent. But can technology "humanize" the "non-human," and will we do without human interaction altogether?"

Will we do without human interaction altogether.

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13 January, 2025 POR Oriol Ribó
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How to calculate the Conversion Rate for Ecommerce in GA4

As many of you may have noticed, the Ecommerce Conversion Rate metric no longer appears in Google Analytics and we miss it in our GA4, Looker Studio... 

reports.
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13 January, 2025 POR Júlia Quintana
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How to perform a correlation test in RStudio

In this article, we will learn how to perform a correlation hypothesis test between two variables using RStudio. The objective is to determine if there is a significant relationship between the selected variables.

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13 January, 2025 POR Sara Fernández
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How to Create Business with Online Elements through Workflows

From now on you will be able to add Online Items to new Businesses through Workflows.

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13 January, 2025 POR Eric Morera
ipaas Automatisation

Enterprise Automation con iPaaS

In 2019 we made reference to the boom of iPaaS (Integration Platform as a Service) and how this tool is changing the paradigm of marketing teams. In the last three years we have done dozens of integrations between different platforms (ERP, eCommerce, CRM, VoIP solutions, Reservation Systems, POS...) all as source or destination HubSpot, the leading CRM according to G2.com.

.
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10 January, 2025 POR Martí Antentas
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Marfeel monitoring: How to stand out from your competition?

Marfeel recently unveiled the introduction of a new module called monitoring, comprised of social monitoring and discover monitoring, both in beta.

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10 January, 2025 POR Martí Antentas
Content Marfeel Features Social Media Integration Social Media Traffic

Why should I connect the RRSS to Marfeel?

Tips to take advantage of this functionality

Social networks have become one of the main sources of information. More and more users are consuming content through Facebook, Twitter (X), Instagram, or even YouTube. These platforms facilitate access to information, and make its consumption quicker and more immediate.

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10 January, 2025 POR Oriol Ribó
ecommerce Google Analytics 4 Datos sales process

Learn how to calculate users' purchase anticipation in Looker Studio with GA4 data.

For many businesses, understanding how far in advance users make purchases is key to analyzing their behavior and planning. This knowledge is especially valuable in sectors such as events, hospitality, services, catering... where anticipating customer decisions can make all the difference in strategic planning and resource optimization.

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9 January, 2025 POR Luz Castillejo Flor
Artificial Intelligence Automatisation sales process digital agent

How to avoid losing business opportunities through AI automation

Objective: implement a solution to avoid failed sales opportunities due to unattended calls on weekends 

The company Real Estate, with more than 25 years of experience in the real estate sector, was facing a recurring problem that affected its ability to attract customers: unanswered calls on weekends.

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9 January, 2025 POR Laura Cloquell
Google Analytics 4

GA4 - How to clean URL parameters

As we explained in this other blog post sometimes url parameters can give us big problems with cardinality in data and especially now in GA4.

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9 January, 2025 POR Sara Fernández

Misalignment among stakeholders in digital transformation.

Digital transformation is no longer a trend when it comes to business competitiveness and positioning. However, implementing and adopting new technological solutions is an organizational challenge for any company. Thus, the alignment of the stakeholders involved is key to this transformation. Misalignment can generate delays, inefficiencies and, in the worst case, the failure of the project. 

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9 January, 2025 POR Luz Castillejo Flor

How to avoid losing business opportunities through AI automation

Objective: implement a solution to avoid failed sales opportunities due to unattended calls on weekends 

The company Real Estate, with more than 25 years of experience in the real estate industry, was facing a recurring problem that affected its ability to attract customers: the unanswered calls during weekends.
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