One of the biggest problems marketing teams face is fragmented data, as it prevents effective insight gathering, makes personalized interactions more difficult to generate, and slows down productivity. This results in lower ROI. If this sounds familiar, at EGOS BI we're partners with Snowflake Data Cloud , an ideal solution for creating a marketing analytics strategy that improves all of these aspects. We'll tell you more about how it can help your team achieve its marketing goals!
Snowflake Data Cloud is a cloud-based data platform that helps eliminate data silos to create a single repository with a single copy of your data. This can turn exhaustive information extraction into a rapid search, helping you deliver offers and messages to prospects in a timely, relevant, and consistent manner. But there are more benefits you should know about.
Snowflake Data Cloud seamlessly integrates all your customer data to power your marketing analytics. Use structured and semi-structured data from internal and external sources, across all channels, in real time.
Knowing which prospects will become potential customers is key to allocating budget and attention. Snowflake Data Cloud performs continuous, real-time marketing analytics to understand which interactions generate the most impact across each channel, giving you the insights you need to make better decisions and take action to improve customer experiences.
Get more targeted segmentation models by activating all your marketing data, your recommendation engines, and other investments in artificial intelligence and machine learning, while improving the timing and impact of customer interactions. You can also monitor your customer activity in real time on each of your company's platforms, including point-of-sale terminals. This information will help you create more complete profiles to improve sales through personalized experiences.
Improve the effectiveness of predictive models and marketing analytics, from keyword bidding to lead scoring, resulting in superior sales performance and smarter media buying.
Snowflake Data Cloud gives you a consistent view of marketing analytics across your organization, across all business intelligence platforms, to drive better decision-making. Optimizing how you manage marketing spend, acquisition costs, and customer lifetime value.
This cloud-based data platform will be of great help to you, and you'll be able to take advantage of its benefits if you combine its features with the following marketing analytics trends.
By running queries against a low-latency customer data platform, marketers can see their campaign performance in real time, filter that view by audience, and identify underperforming segments. From there, segmentation and messaging can be quickly adjusted to optimize performance.
To make this possible on a larger scale, marketing organizations will need to invest in platforms, like Snowflake Data Cloud , that can balance batch data loads with business intelligence and analytics processing. They require different types of jobs to run in parallel, adding computing resources to clusters as needed. As a result of this instant elasticity, data analysts will be able to access responsive data at any time.
Data protection is an essential component, and therefore, the appropriate infrastructure must be created. Marketers need to emphasize encryption, access control, network monitoring, and physical security measures. Meanwhile, they should partner with providers that have comprehensive monitoring, alerting, and cybersecurity practices.
Advances in encryption and computing have created new ways to securely store and share controlled data, making it possible to keep live data in a single location and grant access to that single source of truth. By allowing people across an organization to interact with a single copy of the same data, the job of compliance managers tasked with identifying and removing each piece of information belonging to a specific client becomes much easier, and the likelihood of errors or unnecessary duplication disappears.
Powered by machine learning, predictive analytics is the practice of identifying the likelihood of future outcomes by analyzing historical data. It encompasses similarity modeling, which identifies prospects most likely to become high-value customers and customers most likely to churn, as well as affinity scoring modeling, which measures people's interests based on their browsing history. Through continuously improved machine learning models, predictions can become more accurate over time, leading to leaps in customer lifetime value and reductions in churn.
The Modern Data Stack provides flexibility and scalability for building future-proof analytics architectures, supporting AI/ML use cases and adapting to business growth without high infrastructure costs.
Automation is transforming data management by reducing manual work and ensuring data reliability. Tools like Fivetran, dbt, and Snowflake are essential for accelerating analytics.
Organizations are increasingly recognizing the limitations of traditional data architectures. Legacy systems struggle to meet modern demands, while Modern Data Stacks offer scalability, integration, and governance solutions.
Unlock the potential of your data with our expert guidance. Schedule your session today!
