How to create an effective omnichannel strategy
By Santiago Bazarra · Feb 5, 2025 · 3 min read
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.
How to create omnichannel customer 360 profiles
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.
How to obtain insights from customer 360 profiles
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 make up this type of platform.
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.
Applying artificial intelligence with a smart CDP
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.
Summary
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.
See omnichannel in action with FLYDE
FLYDE's CDP brings together data from all your channels, including online, offline, email, social, and more, into a single customer profile that updates in real time. With FLYDE Brain, you can ask questions about your customer data and get instant answers, without needing a data team.
If you're looking to build a smarter omnichannel strategy, request a demo and we'll show you how FLYDE works with your own data.