MADRID, SPAIN – June, 11, 2025 – FLYDE, a customer data platform offering an easy-to-use solution for businesses to unify fragmented data and drive growth, announces the successful launch of its new thought leadership series, FLYDE Talks. The inaugural event, entitled, “The Challenge of Attribution in Omnichannel Marketing,” drew nearly 200 registrants across Europe and Latin America, signaling strong demand for discussions on practical, data-driven marketing.
Held on June 5, 2025 via LinkedIn Live, the virtual event featured digital marketing expert Andrés Azpilicueta, broadcasting from Mexico City, Mexico alongside Paco Herranz, CEO of FLYDE, based in Madrid, Spain.
Marketers and business leaders tuned in for a candid conversation on the limitations of traditional attribution methods, and how the centralization of customer data can help address the challenges of attribution in omnichannel marketing.
“We are thrilled with the overwhelming response to our first FLYDE Talks event,” said Paco Herranz. “The challenge of attribution in omnichannel marketing is a critical issue for businesses seeking efficiency and growth. Sparking interest among nearly 200 engaged professionals reaffirms the relevance of the series in driving meaningful conversations around data-driven marketing strategies.”
The talk explored how marketers can go beyond siloed data and surface-level campaign metrics to fully understand customer journeys and drive profitable decisions. Topics discussed included:
Key Trends in Digital Marketing
The GA4 Challenge and the End of Cookies
Attribution Beyond the Last Click
Strategic Metrics and Segmentation
FLYDE Talks is designed to be a recurring series spotlighting challenges (and solutions) facing modern marketing and growth teams. Each event will feature live case studies, expert guests, and real-time walkthroughs across industries like retail, sports, travel and hospitality, and SaaS.
“FLYDE Talks represents a vital initiative for us as a company to create an open space where marketing and data professionals can share knowledge, ask tough questions, and explore innovative strategies together,” said Katie Gortz, Marketing Manager at FLYDE.
FLYDE Talks will resume in September and forthcoming information will be published through the company’s LinkedIn page.
With regard to FLYDE Talks Episode 2, Azpilicueta hinted: “There’s huge potential in showing how a football club, for example, can use data to tailor experiences for different types of fans—casual buyers, season-ticket holders, international shoppers.”
FLYDE is a customer data platform built for teams who want full control over how data flows, performs, and drives revenue. By integrating online and offline sources into a single, actionable view, FLYDE helps businesses optimize campaigns, boost retention, and connect with high-value audiences in real time. Contact FLYDE for a demo to learn more.
Schedule a meeting with one of our experts and discover how FLYDE can help your company achieve its goals.
FLYDE is proud to announce its acceptance into the Amazon Web Services (AWS) Independent Software Provider (ISV) Accelerate Program, a co-sell initiative for AWS Partners that provide software solutions that run on or integrate with AWS. This milestone reflects FLYDE’s technical excellence, customer commitment, and alignment with AWS best practices—following a rigorous vetting and approval process.
The AWS ISV Accelerate Program is an exclusive program for software providers that meet high technical and business standards. Gaining acceptance into the program means that FLYDE’s platform has been carefully evaluated by AWS for its scalability, security, and performance within the AWS ecosystem.
“This isn’t a badge you simply apply for—it’s earned,” said Paco Herranz, CEO of Flyde. “Joining the AWS ISV Accelerate Program is the result of months of architectural reviews, documentation, and validation. It confirms that our infrastructure is solid and that we’re ready to grow with AWS by our side.”
FLYDE also underwent the AWS Well-Architected Framework review, which evaluates design across a series of critical pillars: operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability. This designation validates that FLYDE not only runs efficiently on AWS, but also follows cloud-native best practices for secure and scalable data infrastructure. It’s further assurance that FLYDE is built on a foundation of robust, resilient, and secure cloud infrastructure.
FLYDE’s inclusion in the ISV Accelerate program also paves the way for deeper integrations with AWS services and access to joint go-to-market opportunities through Marketplace, which will ultimately benefit clients with faster implementations and enhanced product support.
Read more about FLYDE’s AWS-native CDP and how it unifies customer data across omnichannel environments,
FLYDE is a Customer Data Platform (CDP) that unifies data from multiple sources—such as eCommerce, in-store purchases, CRM systems, email campaigns, and advertising platforms—into a single, comprehensive customer profile. Using ML/AI-powered predictive models, FLYDE processes this data in real-time, to empower businesses to anticipate customer behaviors, preferences, and trends, boost acquisition, lifetime value (LTV), and retention.
Contact us for a demo and let us show you how FLYDE makes data accessible and actionable, empowering businesses to deliver smarter, more personalized experiences.
Agenda una reunión con uno de nuestros expertos y descubre cómo FLYDE puede ayudar a tu empresa a alcanzar sus objetivos.
In a perfect world, a customer clicks on an ad, falls in love with your product, and converts on the spot. You know exactly which campaign worked, which channel gets credit, and where to increase your ad spend. Easy.
But we don’t live in a perfect world. The customer journey isn’t single-channel or linear. We live in the age of omnichannel marketing. The reality is that a single purchase might be influenced by a Google search, a TikTok video, a webinar, a promotional email, or a conversation with your sales team.
Attribution—figuring out which touchpoints actually matter in the buyer’s journey—is no longer simple. It’s a messy, multi-source puzzle. And without solving it, you risk spending your budget in the wrong places.
So, let’s dive in and examine what attribution really means in omnichannel marketing campaigns and what challenges we face as marketers to assign credit where credit is due.
At its core, attribution is about assigning credit to each step that helps take a customer from “just looking” to “just bought.”
In single-channel or linear journeys, this used to be easy. But today, marketers rely on a mix of digital and offline channels working together, which means that the process of attribution has had to evolve.
Let’s look at a few common attribution models:
Each model has its own advantages and its own bias. In complex, omnichannel campaigns with many different touchpoints, it becomes increasingly important to move beyond simplistic models and embrace AI-powered attribution, which can analyze massive, messy datasets and zero in on what is driving conversions.
In the world of omnichannel marketing, the customer journey rarely follows a predictable path. The customer journey nowadays is non-linear, fragmented, and often, a portion of the journey is undertaken while the user is still anonymous.
Here’s why attribution is so tricky today:
The result? A lot of guesswork and misallocated spending.
The key to approaching attribution for omnichannel marketing is to stop aiming for perfect attribution—and start aiming for actionable insight.
Here’s how to get started:
Instead of chasing perfection, chase progress. Map the journeys, unify the data, and use a tool like FLYDE to reveal insight. The goal isn’t to give perfect credit; it’s to make smarter, more confident decisions.
To address these omnichannel challenges and the need for a unified view, a Customer Data Platform (CDP) like FLYDE becomes essential for consolidating data from various sources.
FLYDE centralizes data from touchpoints across paid media, CRM, social, email, web navigation, and offline events. Whether you’re working with dozens of fragmented sources or just trying to get a full view of the customer journey, FLYDE brings your data together to offer clarity and insight.
Here’s a real-world example:
Imagine you run a lead-gen campaign using a CPC paid search campaign in Google, Meta ads, a product webinar, and follow-up email flows. With FLYDE:
This kind of transparency doesn’t just look good in reports—it drives better decision-making. When you know what’s working, you can double down. When something’s underperforming, you can pivot fast. Ultimately, effective attribution leads to optimized advertising spend, a deeper understanding of customer behavior, and improved ROI.
Contact us for a demo and we can show you how FLYDE approaches omnichannel attribution in our easy-to-use Customer Data Platform.
Agenda una reunión con uno de nuestros expertos y descubre cómo FLYDE puede ayudar a tu empresa a alcanzar sus objetivos.
In the world of customer analytics, RFM analysis has long been a favorite for segmenting customers based on their Recency, Frequency, and Monetary behaviors. While RFM provides a solid foundation, many businesses are looking for more advanced segmentation techniques to capture the full picture of customer behavior. One such method is Customer Lifetime Value (CLV) modeling, which estimates the total revenue a customer is likely to generate over their entire relationship with your brand.
In this post, we’ll explore how CLV modeling works, its benefits, and how it complements—or even surpasses—traditional RFM analysis.
Customer Lifetime Value (CLV) is a prediction of the net profit attributed to the entire relationship with a customer. CLV is forward-looking. It allows marketers to estimate not only who your best customers are today, but also who will be most valuable in the future.
Key Components of CLV:
By incorporating these elements, CLV modeling provides a dynamic and comprehensive view of customer value.
RFM analysis is great for quick segmentation, but it has its limitations:
CLV modeling, on the other hand, addresses these gaps by providing actionable insights into future customer value.
At FLYDE, we use a hybrid approach—combining both historical and predictive modeling to get the best of both worlds. Historical CLV powers real-time calculations, giving you an up-to-date view of current customer value. Predictive CLV goes further, projecting customer value over 6, 12, 18, and 24 months to support long-term planning and proactive engagement strategies.
While RFM analysis offers a quick snapshot of customer behavior, advanced segmentation through Customer Lifetime Value modeling provides insights that drive long-term success. By predicting future customer value and tailoring your marketing strategies accordingly, you can maximize ROI, enhance customer satisfaction, and build sustainable growth.
Embracing advanced segmentation with CLV modeling can transform your customer engagement and drive sustainable growth. FLYDE’s CDP automates data collection and integration from various touchpoints, providing a comprehensive view of customer interactions necessary for accurate CLV calculations.
Do you want your company to move on to the next level? A CDP is the key tool that will allow you to maximize the potential of your data and grow your business. Having control over all your data is now very simple.
Moreover, if you do not have IT or Data Scientist teams, this tool will allow you to outsource this function. And if you have them but want to reduce their workload and give more autonomy to your marketing and business teams when it comes to working with data, implementing an easy-to-use CDP would be the best option for your company. It will allow any single member of your company to use it, as this softwares are prepared for them.
Schedule a meeting with one of our experts and discover how FLYDE can help your company achieve its goals.
Marketing one-to-one is the latest way of developing marketing strategies, which involves practicing the highest level possible of personalization towards your customers. This high level of personalization is already being carried out by many companies through various channels, such as social media ads, email marketing, website personalization, and offline marketing.
By leveraging customer data and machine learning, marketing one-to-one enables companies to create personalized experiences that distinguish their brand from competitors and boost sales.
To carry out marketing one-to-one strategies, data is fundamental. Once this data is obtained, it needs to be actionable. Here are four simple steps to follow:
To carry out marketing one-to-one strategies, a Customer Data Platform (CDP) is a critical technology for retailers. A CDP allows companies to store every piece of data related to customers, sales, campaigns, and any other useful data for your company’s purposes. With the help of artificial intelligence (AI), a CDP can cross-reference this data to obtain 360 profiles of your customers. These profiles, combined with AI, allow you to hyper-segment, personalize, and predict future behaviors of your customers.
For example, if you are a fashion retailer, you can use the data mentioned before to understand your customers’ preferences, such as the size of your customer, the type of clothes they like, and the amounts of money they usually spend.
By analyzing customer behavior during specific events, such as special holidays or sales events, you can adjust your marketing campaigns to match their behavior. If a customer tends to buy multiple items during a particular event, you can recommend similar products or offer a discount for a bundle purchase. This type of personalized experience is what customers demand today, and it can lead to increased customer satisfaction and loyalty.
Do you want your company to move on to the next level? A CDP is the key tool that will allow you to maximize the potential of your data and grow your business. Having control over all your data is now very simple.
Moreover, if you do not have IT or Data Scientist teams, this tool will allow you to outsource this function. And if you have them but want to reduce their workload and give more autonomy to your marketing and business teams when it comes to working with data, implementing an easy-to-use CDP would be the best option for your company. It will allow any single member of your company to use it, as this softwares are prepared for them.
Schedule a meeting with one of our experts and discover how FLYDE can help your company achieve its goals.
FLYDE is an easy-to-use Customer Data Platform designed to meet the needs of businesses looking to improve their customers’ experience, increase retention, ROI, ROAS, and Customer Engagement.
In this blog, we will discuss the new functionality of the platform: Customer Profiling guided by predictive AI models.
Customer profiling is a tool that allows businesses to better understand their customers and tailor their offerings to meet their specific needs. With FLYDE’s customer profiling, businesses can select a product from their catalog and see the main characteristics of the customers who purchase it. Predictive AI models evaluate all available data your company has on your customers such as their behavior, purchase patterns, product preferences, browsing habits, and more.
Suppose a company has a product in its catalog and wants to better understand its precise customers to adapt its marketing strategy. With FLYDE, the company can select that product and use predictive AI models to identify the main characteristics of the customers who purchase it. For example, the models may reveal that customers who buy that product earn more than €40,000, log into the ecommerce page twice a week, and often make purchases in physical stores.
Predictive AI-guided customer profiling can significantly improve your marketing strategy by allowing you to better understand your customers and tailor your offerings to their specific needs. By using this new functionality of FLYDE, you can personalize your marketing messages to meet the specific needs and desires of your customers.
Additionally, customer profiling also allows you to improve the segmentation of your marketing campaigns. By better understanding your customers and grouping them into segments based on their characteristics, you can personalize your messages and offers for each specific segment. This will allow you to reach your customers with more relevant messages, increasing the likelihood of conversion to sales.
In addition to helping you better understand your current customers, FLYDE’s customer profiling also allows you to identify new potential customers. The platform’s AI uses the purchase behavior data of your current customers to find patterns and similarities between them.
These patterns help you identify new business opportunities by finding potential customers who have a similar profile to your current customers. By understanding your customers’ preferences and behaviors, you can use that information to reach a wider audience that is more likely to buy your products or services.
With FLYDE’s customer profiling, you can discover new market segments that may not have been on your radar and adjust your marketing strategy to reach them more effectively. This can result in a higher return on investment and increased customer loyalty.
Do you want your company to move on to the next level? A CDP is the key tool that will allow you to maximize the potential of your data and grow your business. Having control over all your data is now very simple.
Moreover, if you do not have IT or Data Scientist teams, this tool will allow you to outsource this function. And if you have them but want to reduce their workload and give more autonomy to your marketing and business teams when it comes to working with data, implementing an easy-to-use CDP would be the best option for your company. It will allow any single member of your company to use it, as this softwares are prepared for them.
Try it for free with our free trial (with auto-generated fake data)!
Schedule a meeting with one of our experts and discover how FLYDE can help your company achieve its goals.
As the world becomes increasingly competitive, companies must focus on customer satisfaction and loyalty to succeed. While customer acquisition is essential for growth, customer retention is even more critical. Retaining existing customers is essential for the long-term health of any business, as loyal customers tend to spend more, refer more, and cost less to retain.
In this blog, we will discuss marketing retention vs. acquisition and why current trends show that retention is much more important. We will also explore how a Smart Customer Data Platform (CDP) can help companies boost retention.
The cost of acquiring new customers is significantly higher than retaining existing ones. According to a study by Harvard Business Review, increasing customer retention by just 5% can increase profits by 25-95%. This is because loyal customers tend to spend more, refer more, and cost less to retain.
Additionally, loyal customers provide valuable feedback and can help businesses improve their products and services. Therefore, it is essential for companies to focus on retaining existing customers.
While customer acquisition is necessary for growth, it should not come at the expense of customer retention. Many companies make the mistake of focusing too much on acquiring new customers and neglecting existing ones. However, research shows that companies that focus on customer retention tend to be more successful in the long run. Customer retention should be a top priority for any company that wants to grow and thrive.
Focusing on customer retention over acquisition can provide a number of benefits to companies, including increased customer lifetime value (CLV), improved customer loyalty, and reduced marketing costs. By retaining existing customers, companies can increase CLV by encouraging repeat purchases and reducing churn. Additionally, loyal customers tend to refer others to the company, which can help reduce marketing costs associated with customer acquisition. By prioritizing retention, companies can create a positive cycle of growth that leads to long-term success.
A Smart CDP can provide a comprehensive view of a company’s customers, allowing them to personalize marketing messages, improve customer service, and identify opportunities to upsell and cross-sell.
For example, let’s say a retailer collects data on a customer’s purchase history, browsing behavior, and preferences. With a Smart CDP, the retailer can use this data to send targeted marketing messages based on the customer’s interests and behavior. They can also use the data to recommend complementary products, provide personalized promotions, and improve customer service by addressing the customer’s specific needs and concerns. By using a Smart CDP, the retailer can create a more personalized and engaging experience for their customers, which can lead to increased loyalty and retention.
Do you want your company to move on to the next level? A CDP is the key tool that will allow you to maximize the potential of your data and grow your business. Having control over all your data is now very simple.
Moreover, if you do not have IT or Data Scientist teams, this tool will allow you to outsource this function. And if you have them but want to reduce their workload and give more autonomy to your marketing and business teams when it comes to working with data, implementing an easy-to-use CDP would be the best option for your company. It will allow any single member of your company to use it, as this softwares are prepared for them.
Schedule a meeting with one of our experts and discover how FLYDE can help your company achieve its goals.
According to Harvard Business Review, 73% of consumers use multiple channels throughout their purchase process.
In today’s digital age, customers expect seamless, personalized experiences across all channels. To meet these expectations, companies need to implement omnichannel marketing strategies that integrate all of their marketing channels. However, this can be challenging without the right tools and technology.
In this blog, we’ll explore the benefits of omnichannel marketing for companies and how a customer data platform (CDP) can help make it easier and more effective.
To create omnichannel customer 360 profiles, companies need to aggregate and unify customer data from all sources. This includes online and offline interactions, such as purchases, website visits, social media engagement, and in-store interactions. A CDP can help with this by ingesting data from various sources, cleaning and deduplicating it, and stitching it together into a single, comprehensive customer profile.
Once the data is integrated into the CDP, the company can start building out the 360-degree view of each customer. This involves mapping out each customer’s interactions across different channels, tracking their preferences and behavior, and segmenting them based on attributes such as demographics, purchase history, and engagement.
Once a retailer has created omnichannel customer 360 profiles, they can start leveraging the insights to improve their customer experience. A CDP, as well as ingesting and structuring data, can be used to obtain insights, with the different tools that conform this type of platforms.
One way to obtain insights from customer 360 profiles is to use real-time personalization. By leveraging the data in the CDP, retailers can create personalized experiences for each customer based on their preferences and behavior. This can include personalized product recommendations, targeted promotions, and customized messaging.
AI can be used to analyze large volumes of customer data and uncover insights that might not be apparent from manual analysis. For example, AI-powered predictive analytics can be used to anticipate customer needs and preferences, as well as identify opportunities for cross-selling and upselling.
Another way to apply AI to customer 360 profiles is through machine learning. By training machine learning models on customer data, retailers can automate tasks such as product recommendations and content personalization, as well as improve the accuracy of predictive analytics.
Creating omnichannel customer 360 profiles with a CDP is a critical step for retailers looking to provide personalized, seamless experiences across all channels. By leveraging AI-powered analytics and personalization, retailers can gain valuable insights from these profiles and use them to improve the customer experience. So, if you’re a retailer looking to enhance your customer engagement, consider implementing a CDP and start creating omnichannel customer 360 profiles today.
Do you want your company to move on to the next level? A CDP is the key tool that will allow you to maximize the potential of your data and grow your business. Having control over all your data is now very simple.
Moreover, if you do not have IT or Data Scientist teams, this tool will allow you to outsource this function. And if you have them but want to reduce their workload and give more autonomy to your marketing and business teams when it comes to working with data, implementing an easy-to-use CDP would be the best option for your company. It will allow any single member of your company to use it, as this softwares are prepared for them.
Schedule a meeting with one of our experts and discover how FLYDE can help your company achieve its goals.
Understanding your customers’ needs and desires is essential to building a successful business. However, it’s not enough to simply ask your customers what they want. To truly understand their needs, you must identify the jobs or tasks they are trying to accomplish. This is where the Jobs-To-Be-Done (JTBD) framework comes in.
In this blog, we’ll see how to improve your JTBD strategy with a Customer Data Platform (CDP). By using a CDP, you can gain a more comprehensive understanding of your customers and their behaviors, which can help you improve your JTBD strategy.
Jobs-To-Be-Done (JTBD) is a framework that helps businesses understand the needs and desires of their customers by focusing on the jobs or tasks that customers are trying to accomplish. By understanding your customers’ JTBD, you can design products and services that meet their needs and differentiate yourself from competitors.
A Customer Data Platform (CDP) is a data management tool that allows you to collect, unify, and analyze customer data from multiple sources. By using a CDP, you can gain a more comprehensive understanding of your customers and their behaviors, which can help you improve your JTBD strategy.
Here are four ways to improve your JTBD strategy with a CDP:
A retailer uses a CDP to collect and unify customer data from multiple sources, enabling them to gain a comprehensive view of their customers and their behaviors. Using the JTBD framework, the retailer analyzes the data to identify the specific jobs their customers are trying to accomplish when they shop for clothes, such as looking for stylish and fashionable clothes, prioritizing comfort and functionality, or finding clothes for specific occasions.
The retailer uses the CDP to personalize their marketing and product recommendations to better meet their customers’ JTBD. By creating targeted email campaigns and personalized product recommendations, the retailer increases customer engagement and sales, leading to higher customer loyalty and repeat purchases.
Additionally, the retailer is able to optimize their inventory to better meet their customers’ needs, reducing waste and improving their bottom line. In this way, using JTBD and a CDP can help fashion retailers to better understand their customers and improve their business results in a highly competitive industry.
In conclusion, understanding your customers’ JTBD is essential to designing products and services that meet their needs. By using a CDP to collect, unify, and analyze customer data, you can gain a deeper understanding of your customers and improve your JTBD strategy. To get started, consider implementing a CDP and using the four strategies outlined in section two to improve your JTBD strategy. With a more customer-centric approach, you can differentiate yourself from competitors and build stronger, more loyal customer relationships.
Do you want your company to move on to the next level? A CDP is the key tool that will allow you to maximize the potential of your data and grow your business. Working like the big multinationals in the market, which already have this type of software, and having control over all your data is now very simple.
Moreover, if you do not have IT or Data Scientist teams, this tool will allow you to outsource this function. And if you have them but want to reduce their workload and give more autonomy to your marketing and business teams when it comes to working with data, implementing an easy-to-use CDP would be the best option for your company. It will allow any single member of your company to use it, as this softwares are prepared for them.
Schedule a meeting with one of our experts and discover how FLYDE can help your company achieve its goals.
If you’re looking for a way to better understand your customers and their purchasing behavior, RFM analysis is an excellent place to start. This powerful tool allows you to segment your customer base based on recency, frequency, and monetary value, giving you valuable insights into the behavior of different groups of customers.
RFM analysis is a data-driven approach to customer segmentation. By analyzing customer data in terms of Recency (how recently they made a purchase), Frequency (how often they make purchases), and Monetary value (how much they spend), you can gain insights into the behavior of different groups of customers.
To perform RFM analysis, you need to collect data on your customers’ purchase history, including the date of their last purchase, the number of purchases they’ve made, and the total amount they’ve spent. You can then rank customers on each of these metrics and assign them a score between 1 and 5 for each metric.
For example, a customer who made a purchase in the last week would be assigned a high score for recency, while a customer who hasn’t made a purchase in several months would be assigned a low score. Similarly, a customer who has made many purchases and spent a lot of money would be assigned a high score for frequency and monetary value, while a customer who has made only a few purchases and spent little money would be assigned a low score.
Once you’ve assigned scores to each customer, you can use these scores to segment your customers into different groups based on their behavior. For example, you might have a group of high-value customers who make frequent purchases, a group of low-value customers who make infrequent purchases, and a group of recent customers who haven’t yet made a lot of purchases.
Once you’ve segmented your customers using RFM analysis, you can use this information to tailor your marketing and sales strategies to each group.
For example, you might create different types of content or promotions to target each group.
If you have a group of high-value customers who make frequent purchases, you might focus on providing them with personalized offers and promotions. You might also consider creating a loyalty program to reward them for their continued business.
If you have a group of recent customers who haven’t yet made a lot of purchases, you might focus on providing them with educational content that helps them understand the value of your products or services. You might also consider offering them a special promotion to incentivize them to make a purchase.
By using RFM analysis to segment your customers and tailor your marketing and sales strategies to each group, you can improve your overall customer retention and satisfaction, which can ultimately lead to increased revenue and growth for your business.
By using a Customer Data Platform (CDP) you could effectively perform RFM analysis. A CDP is a software tool that allows you to collect, analyze, and segment customer data from multiple sources, including your website, social media channels, customer support interactions, or any other that you might have.
To perform RFM analysis using a CDP, you first need to integrate your customer data into the platform by connecting your website analytics tool, email marketing platform, CRM system, and any other database with customer information that you have available to the CDP. Once integrated, the CDP will automatically assign scores to each customer based on their behavior in terms of Recency, Frequency, and Monetary value.
Using the insights gained from RFM analysis, you can segment your customers into different groups and tailor your marketing and sales strategies to each group. By using a CDP to perform RFM analysis, you can gain a more comprehensive understanding of your customers’ behavior, make informed business decisions, and improve your overall performance.
Do you want your company to move on to the next level? A CDP is the key tool that will allow you to maximize the potential of your data and grow your business. Working like the big multinationals in the market, which already have this type of software, and having control over all your data is now very simple.
Moreover, if you do not have IT or Data Scientist teams, this tool will allow you to outsource this function. And if you have them but want to reduce their workload and give more autonomy to your marketing and business teams when it comes to working with data, implementing an easy-to-use CDP would be the best option for your company. It will allow any single member of your company to use it, as this softwares are prepared for them.
Schedule a meeting with one of our experts and discover how FLYDE can help your company achieve its goals.