Cooladata Review

Track Customer Behavior/Activity  And Unify Data

Cooladata has the capability to track all the activities that customers are doing across all channels and platforms, and to unify these activities with the available data users have for such customers found in their CRM or external database.

By adding Cooladata’s code snippet to a website or an app and selecting what they want to track using the Cooladata Tagger, users will be able to track what their customers are doing. This includes the links that customers are clicking, videos they are watching, pages they are scrolling, and forms they are filling out.

Data unification in Cooladata is also facilitated by its ability to integrate with most CRM, email marketing, analytics, and ad platforms. Likewise, it has a REST API which makes it possible for users to bring data into and out of the platform.

Understand Customer Journey

Cooladata doesn’t only allow users to obtain a unified view of all data related to customer behavior and activity, but it also permits the analysis of such data in one place. Thus, the platform assists them in understanding every stage of the customer journey so they can obtain valuable and meaningful insights to improve their business. They will be able to see how their customers interact with their brand, whether online or offline.

Funnel Analysis

To be able to understand customers and their journey, Cooladata offers ways to visualize, manipulate, and analyze data. It uses standard visualizations and analyses like funnel, cohort, and path. Funnel visualization and analysis permits users to segment customers based on their behavior and analyze how they go through each step of the funnel.

A funnel is comprised of the steps and events that customers need to go through before conversion. Thus, users will be able to identify the steps or events where customers get stuck and the reason why they don’t convert. This way, they can improve their conversion rates.

Cohort Analysis

Meanwhile, conducting cohort analysis lets users understand the behavior of groups of customers over time. This type of analysis enables them to identify the period of time when customers are churning (cancellation of subscription or discontinuation of service) and the reason why they are making such decision. Through cohort analysis, users can increase customer retention and engagement.

Path Analysis

When it comes to path analysis, this involves the isolation of customers who are able to make a purchase, send a quote request, or reach any business goal. Path analysis enables users to identify what these customers have in common, what persuades them to make purchases, and what are the paths that lead them to reach the goal.

Ask Questions And Get Answers Instantly

Cooladata also has a visual query builder which can be used for asking any questions about customers and obtaining answers for these questions instantly. Asking questions using this query builder is so simple, and it doesn’t require writing any code.

Share Data Across Teams

In Cooladata, sharing data with colleagues and teams is a breeze. Users can build a custom dashboard for every team within their company or organization: sales, marketing, product, and executive team. They can also share dashboards with external teams using Cooladata’s Partner Portal. Reports, which are updated automatically and in real time, can be embedded on websites or emails as well.

Export Data To Third-Party Tools

Because Cooladata is an open platform, it allows exporting of data to third-party tools. As an example, users can export their data to Tableau and Locker if they want to conduct data analysis and visualization using those tools. In case they want to personalize their data, they will be able to export it to marketing platforms like MailChimp, Marketo, and HubSpot.