Marketing Mix Modeling is a statistical technique that helps marketers understand how different variables such as advertising, pricing, promotions, and seasonality impact business outcomes like sales, conversions, or revenue.
In simpler terms, MMM tells you how much each part of your marketing mix contributes to your results. It is based on historical, aggregated data, without requiring cookies or user-level tracking.
MMM analyzes data over time, typically at least two years, to isolate the incremental impact of each factor. It can measure both online and offline efforts such as:
By modeling these variables together, MMM provides attribution at the channel level and helps marketers understand the return on the investment (ROI) made in each channel.
Marketing departments are increasingly accountable for justifying every cent they spend and demonstrating clear ROI on their activities. With budgets tightening and the deprecation of third-party cookies looming, many brands are looking back to a powerful, proven solution: Marketing Mix Modeling (MMM).
With the rise of user-level tracking via cookies and clickstream data, MMM took a back seat to multi-touch attribution (MTA). MTA is a marketing measurement model that assigns credit to multiple touchpoints along a customer’s journey to determine which channels and interactions influenced a conversion. Digital tracking, however, is facing significant obstacles due to privacy regulations. As a result MMM is becoming more relevant, because it uses aggregated data as opposed to user-level tracking, and covers both online and offline channels.
Feature | MMM | MTA |
---|---|---|
Attribution type | Top-down (channel level) | Bottom-up (user level) |
Data required | Aggregated, historical | User level, cookie-based |
Works offline | Yes | No |
Privacy compliant | Yes | Depends on data practices |
Rather than choosing one or the other, many brands are now combining MMM and MTA. MMM provides strategic, high-level planning while MTA supports tactical, in-the-moment optimization.
At FLYDE, we help businesses unify and activate their customer data. This includes making the most of aggregate-level signals, which is where a Customer Data Platform (CDP) plays a crucial role in enhancing MMM.
A CDP is a centralized system that collects and unifies customer data from various sources (online, offline, behavioral, transactional, demographic) into a single, comprehensive customer profile. While MMM focuses on aggregate, historical data for channel-level insights, a CDP complements this by:
This means smarter planning without compromising privacy and better orchestration of omnichannel efforts, from the first anonymous visit to long-term customer retention.
Marketing Mix Modeling aligns with the marketing industry’s most predominant trends: smarter measurement, responsible data use, and data-driven channel strategies.
Want to learn more about how FLYDE supports MMM and helps unlock real omnichannel impact?
Contact us to schedule a meeting to discuss how a Customer Data Platform del Cliente (CDP) like FLYDE can enable you to implement MMM in your business.
Schedule a meeting with one of our experts and discover how FLYDE can help your company achieve its goals.
One of the most common questions we get from clients at FLYDE is:
Can we identify anonymous visitors using fingerprinting, and do we need consent for that?
It is an important question. As customer data strategies become more sophisticated, marketing teams are looking for ways to understand user behavior earlier in the journey. In many marketing platforms, anonymous website visits are siloed from the rest of the customer journey. Let’s imagine an anonymous user clicks a campaign, visits a few pages, and then returns to your site several times. The portion of the customer journey before the user identifies themself is lost. That’s where navigation fingerprinting comes in.
For years, marketers relied on third-party cookies to track users across websites. These cookies powered everything from ad targeting to personalization and attribution. But browser updates and privacy regulations have changed the rules.
As third-party cookies disappear, navigation fingerprinting has gained traction as an alternative. But it is not a free pass. Like cookies, fingerprinting is also subject to privacy regulation when used for marketing purposes.
Navigation fingerprinting, also known as browser fingerprinting or device fingerprinting, is a technique used to identify a device based on technical characteristics, without placing a cookie.
When someone visits a site, their browser reveals a combination of traits such as:
When combined, these signals form a kind of digital fingerprint. With the right setup, this fingerprint can be used to recognize a returning visitor, even if they are browsing anonymously.
In theory, fingerprinting allows brands to:
It is a powerful tool. For example, advertising platforms like Meta or Google only give aggregated insights for anonymous users. But with FLYDE’s browser tracking, you can tie an ad campaign to an individual user if they arrive on your site through a tagged UTM and later identify themselves (ie. by leaving an email) and give consent. This lets you link the user’s anonymous behavior to known user data, giving you a complete view of their journey, from top-of-funnel browsing to conversion.
At FLYDE, we believe privacy and performance can go hand in hand. We support fingerprinting and advanced browser tracking, but always within a responsible, user-centric framework.
Privacy is guaranteed on two levels:
This allows you to activate valuable data without compromising compliance.
Once the user has consented, you can activate that data in meaningful ways:
You can trigger personalized flows, build predictive segments, and prioritize follow-up efforts with the confidence of having a full vision of their customer journey.
Fingerprinting can help you better understand customer behavior, even at the earliest stage of the journey. FLYDE helps you make the most of every interaction, whether you’re tracking anonymous users across sessions, launching predictive models, or building smarter segments.
Contact us to schedule a meeting to discuss how a Customer Data Platform del Cliente (CDP) like FLYDE can unlock the full customer journey, starting with anonuymous web browsing.
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.
Third-Party Cookies are slowly agonizing, the main browsers have already killed them. But, what would this mean for companies? Are we facing a new Marketing Era?
All your doubts will be solved in this article. Also we will see the possible alternatives or if there are not feasible alternatives for Third-Party Cookies and companies will have to completely change their consumer-based strategies.
Third-Party Cookies have been used as an incredibly efficient tool, allowing companies to track their customers to have a complete vision of them. This tool generates value to companies in terms of customer knowledge and segmentation possibilities. However, it was incredibly invasive for many users, who saw it as an attack on their privacy.
Not just that, the fact that, as we mentioned, this type of cookies are going to disappear from the main browsers (if they have not already done so), presents us a scenario in which the future of digital marketing seems to be directly focused on the use of the data that the customer provides you with directly: the First-Party Data.
Third-Party Cookies are used to recap information about users. They have an analytical purpose, as it registers from socio-demographical data to attitudinal data, allowing companies to obtain profiles and segment the market based on habits or interests from each particular user. This is why this has been an incredibly useful tool for companies until now, when their use has become very limited and will soon be obsolete.
It is at this points where we should look in to the future, into the use of First-Party Data. First-Party Data are data obtained by your company directly from your client. Data shared voluntarily by your client and that would help your company know properly your customer’s insights. By using this tool you would be generating a much more in depth relationship with customers, boosting the engagement.
Currently, due to advances in technology, companies have the possibility of collecting an enormous amount of First-party Data in a relatively simple way. The problem for companies start when this data is not used properly, due to problems in the storage and in the way it is sorted. We must bear in mind that is useless to recap all of this data if we are not be able to analyze it properly with the tools available in order to understand our customers and offer them great customer experiences.
Unlock your customer’s value. With a Customer Data Platform everything is possible. A CDP is a tool that would allow your company to store and structure every single piece of data that your company has available. Also, a CDP would join in the data that your company has stored in different platforms (social media, CRM, etc.), and the sociodemographic data available in the market that you wish (Average rent per district, Nº of babies born per district, etc.). Once stored and structured this data, a CDP would allow you to analyze it gaining insights from your customers.
There are many types of CDP providing clients with different functionalities, allowing your company to benefit in numerous ways of them. If your main goal is to substitute Third-Party cookies, the best option would be for sure the use of an Inteligent CDP, as it would allow you to analyze your data in depth, and with the support of Artificial Intelligence to benefit from those details that could escape human’s eye.
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.
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.
Artificial Intelligence, or AI, is the simulation of human intelligence in machines that are programmed to think and learn like humans. It is a branch of computer science that deals with creating intelligent machines that can think, learn, and adapt like humans.
AI is used in a variety of applications such as image recognition, natural language processing, decision making, and many other fields.
Artificial intelligence (AI) is increasingly being used in marketing to help businesses better understand their customers and target their marketing efforts more effectively. Some specific ways that AI is being applied in marketing include:
Data-driven marketing is a strategy that uses data and analytics to inform marketing decisions. It involves collecting, analyzing, and interpreting data about customer behavior, demographics, and other factors to gain insights that can be used to improve marketing campaigns and drive business growth.
The goal of data-driven marketing is to use data to understand customer needs and preferences and to develop effective marketing campaigns that will reach and engage the right audience. This approach allows businesses to make data-driven decisions, such as which products to promote, which channels to use, and how to allocate budget.
A Customer Data Platform (CDP) is a system that allows businesses to collect, integrate, and manage customer data from a variety of sources in order to gain a single, unified view of the customer. CDPs are used to support data-driven marketing by providing a centralized location for storing and managing customer data, which can then be used to inform marketing decisions. A CDP for it to be useful, needs of Artificial Intelligence models to be run in order to process this huge amounts of data correctly, and to drive predictive models.
Here are a few ways that a CDP can be used for marketing:
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.