Product Roadmap

See what features we are currently considering, and help us shape the future Roadmap of Data Talks by sharing your preferences and ideas. See Roadmap.

Data Talks CDP RoadMap

Main Features You Can Expect

  • Segment Builder 2.0

    To be able to deliver a truly great customer experience, you need to understand customer patterns and find shared motivations that can transform them into lifelong loyal customers. Data Talks CDP makes it possible to centralize your segmentation and share them across your systems, re-engage churning customers, and target your segments in real-time hyper-personalized campaigns. Data Talks is revamping its Segment Builder to allow users to be even more flexible in creating segments to act on. 

    We’re currently working on our Segment Builder 2.0, which will include the flexibility for our users to group profiles on any type of data they have ingested into our CDP, including both profile, event and inventory data. Users will be able to apply a range of different time periods to the segments they’ve created and computer traits (e.g. minimum, maximum, average). You’ll be able to create computed traits directly in our Segment Builder that are completely custom for you, for instance if you want to segment on your Customer Lifetime Value you can do that by simply adding your formula to our Segment Builder.

  • Analytics Widgets

    We want it to be as easy as possible for you to understand your data. Our CDP allows you to explore your data and easily do advanced analytics by offering self-service analytics. When setting up your dashboards and scorecard, you can be flexible with the KPIs and the analysis you want to perform since it’s based on the data you’ve ingested into Data Talks CDP. On top of this flexibility, our CDP offers an out-of-the-box analytic widgets library which you can use to get going quickly right after you’re onboarded to the platform.

    We also offer you out-of-the-box analytic widgets in the Retail/E-commerce and Sports verticals. This allows you to get a good grip of your data right after being onboarded to Data Talks CDP and start understanding your customers’ and prospects’ behavior. In Retail/E-commerce, you can use predefined widgets to measure and compare your revenue, orders, and customers in a certain time period compared to a similar one the previous year. In Sports, you will be able to analyze your ticketing revenue by ticket types and key segments and compare games against the same opponent in the past by using our predefined widgets.

  • Identity Resolution

    Achieving a unified customer view will ensure that you are working with the most accurate and up-to-date understanding of your customers as possible, a crucial part in order to be able to deliver the best customer experience possible. A unified customer view allows you to analyze customer behavior to better target and personalize future customer interactions. Ultimately, having a unified customer view makes a big difference for succeeding with your marketing efforts with regards to being able to create engaging and personalized campaigns, as without it you won’t be able to understand your customers to the extent that you need to. 

    Data Talks CDP will act as the single source of truth with the capability of Identity Resolution. It’s the process of collecting and matching identifiers across touchpoints and merging the data into one unified profile view of customers and prospects that interact with your business. In order to achieve a unified view of both customers and prospects we need to understand who our customers are across the different touchpoints in their customer journey, and we are building the best capability to be able to resolve those identities so that you can understand how your customers are behaving.

  • Golden Record

    The next step of using your unified customer view to its full potential is to create a Golden Record. A Golden Record is what it sounds like, a golden standard of your unified profile. 

    A Golden Record contains all the data you need to analyze and uncover how, when, where, and what to engage each customer with. By having a golden record you won’t have to waste your time tracking down data from across your systems, everything will be neatly collected and organized according to your needs in Data Talks CDP. Our golden records that you will be able to establish for each profile eliminates the risk of incomplete, outdated, and duplicate records being used during marketing analytics and campaign efforts, which can lead to inaccuracies that can severely impact marketing campaign performance and leave revenue on the table.

  • ML Segment Builder

    Creating Audiences of Profiles with similar characteristics, behavior, or preferences is an essential and core part of any Customer Data Platform. Data Talks CDP provides you with a powerful, yet simple-to-use, Segment Builder. With our Segment Builder, you can manually create customer segments and share them with other systems. However, not always are you fully aware of your data, and many times the Segments that you manually create might not be so sophisticated.

    For this reason, we wanted to let you create segments of Profiles using statistical methods, and the Data Talks team will soon be releasing our very own Machine Learning builder. So at the time of onboarding your organization to Data Talks CDP, the preparation of models will be performed by our Data Scientists. And this is to ensure that the model is well trained and the results of ML model execution will be of high quality. What you’ll get is segments of Profiles – that will show similar patterns in a set of data, which would otherwise be quite difficult to discover by only performing manual analysis.

    Data Talks Machine Learning

  • Prediction Models

    Oftentimes, you’re called to take actions after a particular event happens, but maybe by then it’s too late. For example, you attempt to re-acquire customers that have churned, or you try to make a customer subscribe to your newsletter again, right after they have unsubscribed. You wish you could actually predict those actions and prevent them beforehand. Moreover, it would also be nice to know the next action your customers will take and offer them something that will push them towards a faster conversion. For example, you might want to offer a particular product with a discount to customers that are more likely to buy that product next. And then thanks to predictive analysis, you manage to make them buy this product within a shorter period of time. Data Talks CDP will be offering various Prediction Types, which you can use to predict certain actions – such as Churning, Unsubscribing, or Next Purchase.


For more details check the

Data Talks CDP Changelog
Shape the future of Data Talks CDP

Tell us your opinion

Tell us which of the below features you like to see in the application and why it is important for you. Your opinion will help our product Team to prioritize the features with the highest business value.

  • Orchestrated Workflows

    Such as Welcome-, Birthday-, or Abandoned Cart actions.

  • Facebook Messenger

    More communication channels - Facebook Messenger

  • SMS

    More communication channels -SMS

  • Mobile In-App Notifications

    More communication channels - Mobile In-App Notifications

  • Mobile Push Notifications

    More communication channels - Mobile Push Notifications

  • Viber messaging

    More communication channels - Viber messaging

  • WhatsApp Messenger

    More communication channels - WhatsApp Messenger

Getting started 

is easy

Empower your teams with a unified customer view.