Customer data analytics

Customer data analytics

Customer analytics that drives leadership

Itransition provides businesses with customer analytics software that offers powerful capabilities for smart personalization, stronger customer relations, and, finally, bottom-line improvement. We do this by applying our knowledge of data systems, big data aggregation and processing, meaning-making and comprehensible presentation that’s accessible for business end users.

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Customer data analytics types

Customer analytics software accompanies each customer-related process with insightful metrics and helps managers make informed decisions along the entire customer lifecycle.

Descriptive

describes customer behavior and all interactions along the entire customer journey

Diagnostic

explains customer behavior and spots correlations and anomalies

Predictive

predicts what customer attributes or activities can lead to certain outcomes

Prescriptive

offers next-best actions for certain customer-related situations

Segmentation

describes and categorizes customer segments

Essentials of customer analytics software

Customer databases

We set up storages where raw customer data from different sources gets accumulated and processed to form robust and dynamic data sets with mapped relationships. They span customer details and the entire history of customer interactions and serve as the foundation for analyzing both individual customers and persona cohorts.

Data models

We build data models as a part of a customer analytics platform, which power customer data analysis happening in the background of the company’s operations. When infused with machine learning, the algorithms are able to single out individual customer characteristics, predict certain behaviors and outcomes, and underpin day-to-day decisions.

Customer analytics integrations

To make customer analytics solutions all-encompassing, we build API layers that make it possible to connect necessary data sources and third-party applications, letting employees engage with data from a centralized location in a seamless and secure way.

Data dashboards

We create highly visualized analytical dashboards to serve as user interfaces for the underlying customer analytics engines, following the best practices of data presentation and storytelling and assisting customer management teams in uncovering insights in just a few clicks.

Our customer analytics development framework

We will put your customer data through all the stages necessary to provide you with a holistic customer view and valuable insights essential for refining business processes and making informed decisions.

Data integration and consolidation

Itransition’s team will develop and set up processes that will help extract, clean, transform, and load data to a target location.

Data quality validation

We will implement mechanisms that will make sure that all the ingested data goes through proper quality validation.

Customer data profiling and segmentation

We will set up rules that will help segment your customers on both persona and individual levels and let you look at customer data at different angles.

Data visualization

We can connect various visualization tools or build bespoke solutions that will turn dashboards into interactive and dynamic analytical sources.

Data storytelling

We can provide your customer analytics platform with robust data storytelling tools to generate contextualized reports that present data as narratives.

Data security

We ensure your customers’ data is safe and used appropriately by building a system based on data privacy and cybersecurity best practices according to international and local regulations.

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More data solutions for your business

Data management

Our team of data professionals offers full-cycle data management services to provide you with an efficient data management framework shaped around your business needs.

Data science

We offer full-cycle data science consulting services that include building data models, training and implementing ML algorithms, and integrating them into enterprise and consumer-facing systems.

Predictive analytics

We can build custom predictive analytics software that will help you make decisions based on accurate forecasts of business risks, market trends, pricing strategies, customer demand, and more.

Power BI

Being a certified Microsoft partner, Itransition has a team of data professionals with a field-proven expertise who are ready to implement Power BI to meet your needs and requirements.

Tableau

We can complement your data analytics software with Tableau to democratize data visualization and reporting for your employees regardless of their levels of tech proficiency.

What you can do with a customer analytics solution

You may use a number of various tools and apps for different aspects of customer data analysis, yet a single customer analytics platform can make a difference for your customers, stakeholders, and employees.

Get the full picture

You can gather all kinds of customer data across various touchpoints and consolidate this wealth of information in a centralized location, getting access to a truly holistic analysis. Customer data analytics software can become such a hub where you will be able to zoom in or out on customer profiles, reveal problems, spot growth opportunities, and more.

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Key consumer data analytics metrics to track

A customer data platform allows keeping an eye on a number of metrics and, what’s more important, helps find answers to a number of strategic questions.

Customer acquisition

  • What channels attract new leads?
  • What is the cost per lead?
  • How do customers discover your brand?
  • How effective is a promotion?
  • Whom to target to reduce marketing overheads?

Customer retention and churn

  • What behavior leads to higher/lower retention?
  • How do customers move from awareness to advocacy?
  • Where do you lose customers and why?
  • How to identify at-risk customers?
  • How many customers will you lose this year?

Customer lifetime value

  • What’s the average customer tenure?
  • What makes consumers profitable?
  • What makes customers unsubscribe?
  • What customers are more valuable to invest in?
  • How to boost the average lifetime value?

Customer engagement

  • What minimal engagement do customers expect?
  • What personalization efforts lead to higher ROI?
  • What makes customers convert better?
  • What are the strongest/weakest touchpoints?
  • What features are valued best?

Customer satisfaction

  • What features/services are favored by customers?
  • Is your offer shaped around customer expectations?
  • What emotions are associated with your brand?
  • Do customers consider you a trusted partner?
  • What makes customers provide positive feedback?

Why you need customer analytics software

As a customer analytics company, we help businesses highlight the most valuable information and use it to meet customers’ expectations.

84%

of customers say the experience a company provides is as important as its products and services

Salesforce

Data-driven decision-making

We can turn a customer analytics platform into an indispensable tool that lets companies make decisions backed by data instead of guesswork. You will know how customer behavior can change in the short- and long-term and take corresponding actions to reach better outcomes. Plus, the system will be continuously updated with new data used for generating forecasts and recommendations.

Better service

Adopting customer analytics software lets your service agents access all the necessary cross-channel customer information in real time, personalize their help, build relationships while being on the same page with other customer-facing teams, and get proactive to prevent CX issues. Meanwhile, customers can enjoy seamless experiences no matter the channel they choose to reach out.

Targeted marketing

Customer analytics software lets you understand who your audience is, what they want, and which segments are most likely to convert, for you to tailor your marketing campaigns exactly to the revealed expectations. Plus, the software can analyze how your campaigns perform and make adjustments on the go based on insights and smart recommendations.

Streamlined operations

A customer analytics platform helps find out what your customers expect from your brand by evaluating usage, feature popularity, and customer footprint. It’s possible to boost efficiency and increase profits by streamlining targeting, content management, and product development. For instance, you can cut on campaigns or product features that don't really match the target audience’s interests and focus on activities and products shaped around existing needs instead.

Customer lifetime value maximization

Customer analytics solutions let companies measure lifetime value for each customer and switch from focusing on short-term revenue to maximizing customer tenure. For instance, the system can reveal what product features or messages attract or repel new customers, what activities make customers sign up for loyalty programs, and how to fine-tune products or services to present a long-term value for individual consumers thus keeping them loyal to the brand.

Overcoming customer analytics blocks

Data to be used for customer analytics is scattered across multiple locations

Together with you, we will map out all the data sources, integrate them with the customer analytics solution through ready-made or custom connectors, and set up uninterrupted flows of high-quality and analytics-ready data.

There is no big data storage yet in place

We will architect and build your big data storage consolidating any amount of data in any formats, setting up data lakes and data warehouses depending on your needs, on-premises or in the cloud, in line with your data governance model.

It’s hard to leverage customer analytics because of poor-quality data

Prior to integrating your data into a customer analytics solution, we will set up a data quality pipeline with processes for gathering, cleaning, cross-checking and de-duplicating it, ensuring only correct and reliable data is used at any time.

Customer analytics is inaccessible for citizen analysts

We will develop a customer analytics tool that’s friendly to non-tech users by design. Such a solution can contain an interactive UI, no-code tools, and self-service analytics dashboards tailored to your users’ roles.