How to Streamline Subscription Data Insights Workflow

How to Streamline Subscription Data Insights Workflow
Photo by Conny Schneider / Unsplash

In the bustling world of digital subscription businesses, data is guiding decisions and steering growth. Effectively organizing and consolidating diverse data streams is fundamental for making informed decisions, optimizing operations, and enhancing customer experience. In this article, we discuss must have data streams for any successful subscription business and provide hints how to efficiently operate through data to fuel effective business decisions.

Let’s start with business processes and relevant data you need to successfully operate car subscription service:

For Business strategy

o Operational Efficiency and Cost Data to monitor operational costs, resource allocation, and efficiency metrics for optimizing business processes and maximizing profitability.

For Operations and management

o Vehicle Performance and Telematics Data to monitor vehicle health, usage patterns, and performance for proactive maintenance, optimizing fleet allocation, and ensuring customer safety and satisfaction.

o Subscription and Billing Data to track subscription plans, billing cycles, payment histories, and customer transactions is crucial for revenue management and financial planning.

o Inventory and Fleet Management Data for managing the vehicle fleet, tracking inventory levels, and ensuring availability are essential for meeting customer demands and optimizing operations.

For Product strategy

o Customer Profile and Behavior Data to understand customer preferences, usage patterns, and behavior for tailoring subscription plans, marketing strategies, and customer engagement.

o Customer Support and Interaction Data to analyze customer support interactions and feedback for identifying pain points, improving customer service, and enhance overall customer satisfaction.

o Feedback and Reviews to get customer feedback and reviews for insights about customer satisfaction levels, areas for improvement, and potential opportunities.

For Marketing strategy, engagement & acquisition

o Market and Competitor Data to monitor market trends, competitor activities, and industry developments for strategic planning, pricing strategies, and market positioning.

o Marketing and Acquisition Data to analyze marketing campaigns, customer acquisition channels, and conversion rates for optimizing marketing strategies and improving ROI.

To make sense of this multitude of data streams, integration and consolidation are key. The aim is to establish a unified data storage system where these streams converge, ensuring seamless accessibility and usability.

To automatically collect and integrate data from various sources use APIs, connectors, or custom scripts. While gather data aim to use one storage, use tags and indexing system to navigate through streams and divide different data types to avoiding siloing data and ease further usage and analysis.

To make it easier to navigate though there is a table with key data sources and gathering methods:

Data type

Data source

How to gather

Customer and Behavior Data

Registration forms, app usage data, customer interactions, customer feedback, surveys, and social media interactions

CRM, app / site analytics platforms, help desks platforms

Customer Support and Interaction

Customer support logs, live chat transcripts, call center data, and customer feedback platforms

Help desks platforms

Feedback and Reviews

Customer reviews on platforms, feedback forms, social media reviews

CRM, help desks platforms

Vehicle Performance and Telematics

IoT sensors in vehicles, telematics systems, GPS data, maintenance records, fuel usage, and diagnostic reports

RAW / API, fleet management software

Subscription and Billing Data

Subscription databases, billing systems, payment gateways, and invoicing platforms

CRM, Accounting Systems, Warehousing Systems

Operational Efficiency and Cost Data

Expense records, resource allocation data, operational analytics platforms

Accounting Systems

Inventory and Fleet Management

Fleet databases, inventory management systems, vehicle allocation records, and order processing systems

Fleet management software, RAW / API

Market and Competitor Data

Market research, competitor websites, industry reports, and pricing databases


Marketing and Acquisition Data

Marketing automation platforms, website analytics, advertising platforms, and lead generation data

App / site analytics platforms

Consider using cloud-based solutions for scalable and flexible storage. Design the data architecture with scalability in mind. Ensure the system can handle a growing volume of data and increased data diversity.

By implementing this approach, any business can effectively gather, organize, and store the diverse data streams critical for informed decision-making and operational efficiency. It also helps to scale up any data stream and ease integration of any new software or digital tool without harming data quality.

We create our own services with the understanding that they will need to integrate into the existing data management system of the organization. All Rexalto services have the necessary connectors and APIs, and can be deployed within the existing technological framework, on your servers in real time mode.

If you have any questions – we’re here, ready to chat!