4. Individualize email offers
Generally, readers would be consuming contents from various genres. Instead of sending the same message to everyone in the subscription list. Companies can send personalised newsletters based upon the visitor interests and convert better
For example, if a visitor reads about luxury resorts as well as luxury fashion wear. With the help of CDP, you can segment them into an audience bucket named luxury readers and sync with email platforms to send personalized email newsletter.
This way businesses can expect relevant user actions and better conversions.
5. Create Lookalike audiences
Lookalike Audience on Facebook is a way to reach new people who are likely to be interested in your business because they’re similar to your best existing customers.
While creating lookalikes, in general it is done by manually exporting and importing the CSV files to ad platforms. As the data in CRM changes real-time, chances of losing customer-data is pretty high.
With CDP you can sync your customer/ subscriber data in real-time with ad platforms and build lookalike audiences. This helps increase the chances of bringing new subscribers rather than the pray and spray model of running ads.
6. Increase Conversions
The major chunk of revenue for a business depends on new and repeat purchases. CustomerLabs CDP can help business retarget anonymous visitors and customers for a new purchase and create up-sell or cross-sell opportunities among the existing customers respectively.
The CDP tool helps you segment high intent site visitors, & various intent groups and syncs them across various ad platform, email platforms etc.
This way you can send personalised offers via ads & email which increases the chances of anonymous visitor becoming a customer and existing customers to purchase more.
7. Suppress Customers, Subscribers From Receiving Irrelevant Ads
We’ve explained about how specifically you can target exactly who can see your ad. Likewise, it is important not to show ads to wrong persona (customers/ subscribers). By using CDP, you can create suppression lists and sync between various ad platforms to avoid showing ads to wrong people.
Building a suppression list not just improves the campaigns performance. It reduces your ad spend as well.
Analyse the data , discover the insights and predict the future
After consolidating the data into cloud-based data Warehouse. A data analyst or machine learning engineer can help businesses perform advanced analysis.
For example, with the help of these data collected, analysts can train machine learning models to predict the future customer interaction with the business.
This helps businesses understand the future outcomes like their subscribers spending power, chances of future subscriptions etc.