Customer Data Analytics Services

We develop customer data analytics and data science solutions to help businesses gather, process, and interpret customer data. By leveraging advanced analytics techniques, we enable businesses to segment their customer base, predict future behaviors, and personalize interactions to enhance satisfaction, retention, and ultimately, drive profitability.

Customer Analytics Software Services We Develop

Our customer data analytics services encompass the development of various solutions that help businesses gain a deeper knowledge of their audience, improve decision-making process, enhance satisfaction, and drive growth. Here are some key types of customer analytics software solutions that we can develop.

Marketing Analytics Software

We create software that helps analyzing marketing campaigns (email marketing, social media campaigns, and online advertising), and measuring the effectiveness of marketing efforts, tracking engagement, and assessing ROI.

Customer Segmentation Software

We develop software solutions that help categorizing customers into distinct groups based on characteristics or behavior and tailor marketing strategies to specific segments, improving personalization and targeting.

Predictive Analytics Software

We leverage machine learning and statistical models to forecast future customer behavior, such as predicting churn, sales trends, or preferences, and make proactive decisions.

CX Analytics Software

We build CX solutions that allow monitoring and analyzing customer interactions and feedback across multiple touchpoints, such as websites, apps, and contact centers.

Web Analytics Software

We develop solutions that track and analyze website traffic, user behavior, and interactions, providing insights into website performance to optimize marketing strategies and user experience.

Customer Feedback and Survey Software

We create customer surveys and feedback forms that collect and analyze responses to gauge customer satisfaction and identify areas for improvement.

Customer Journey Analytics Software

We build solutions that visualize and analyze the entire customer journey, from initial touchpoints to conversion and help identify bottlenecks, drop-offs, and opportunities for improvement.

Personalization and Recommendation Engines

We deliver tailored solutions that enhance CX and drive conversions by providing personalized content, product recommendations, offers, and promotional options.

User Engagement Analytics Software

We craft software that measures user interactions with digital content, focusing on factors like time spent, click-through rates, and social sharing to help businesses understand and enhance user engagement for improved outcomes.

Churn Analytics Software

We develop software tracks and analyzes user behavior to predict and prevent churn, identifying patterns and indicators that signal when customers are likely to leave, enabling proactive retention strategies.

The Advantages of Customer Analytics For Your Business

Customer analytics helps various businesses to improve overall satisfaction, increase revenue, and reduce costs while providingpersonalized interactions, targeted marketing campaigns, and more effective retention strategies. Here are benefits you can get while utilizing our customer analytics solutions:

Improved Customer Understanding

Our solutions help businesses gain a deeper understanding of their audience by analyzing behavior, preferences, and demographics. It caters for more targeted marketing campaigns, product enhancements, and engagement.

Enhanced Personalization

We help to deliver highly personalized experiences, such as personalized product recommendations, content, and marketing messages. This personalization increases satisfaction and drives conversions.

Customer Retention

Customer analytics solutions that we develop help identify at-risk customers and factors contributing to churn. Thus, businesses can implement retention strategies, such as tailored offers and proactive customer support to reduce churn rates.

Optimized Marketing Campaigns

We help businesses measure the effectiveness of their marketing campaigns in real-time. This allows for quick adjustments and the allocation of resources to the most successful strategies, ultimately improving ROI.

Increased Cross-Selling and Upselling Opportunities

We build customer insights analytics software that identifies complementary products or services that customers are likely to purchase, enabling businesses to strategically cross-sell and upsell, increasing revenue per customer.

Optimized Product Development

By analyzing customer feedback and usage data, we help businesses enforce their existing products and services or develop new ones that better align with actual preferences.

Efficient Resource Allocation

With insights from analytics our solutions deliver, businesses can allocate marketing and operational resources more effectively, maximizing ROI and minimizing wasted efforts.

Data-Driven Culture

Our customer analytics software fosters a data-driven culture within organizations, encouraging employees at all levels to base their decisions on data and evidence rather than intuition.

Who we do it for

We build customer data analytics software that is versatile and applicable across industries where customer relationships and data-driven decision-making are essential.

E-Publishing

Our customer analytics services for digital publishing companies offer insights into reader preferences, content engagement, and subscription behavior. It helps publishers optimize content strategy, identify popular topics, and tailor recommendations, leading to higher reader satisfaction and increased subscriptions. Additionally, it assists in ad targeting, ensuring more relevant and effective advertising campaigns. Overall, our customer data analytics solutions empower publishers to make data-driven decisions, enhance user experiences, and drive revenue growth.

Healthcare

For healthcare organizations, we build customer data analytics software that provides valuable insights into patient demographics, medical histories, and treatment outcomes. It supports personalized healthcare recommendations, patient segmentation, and resource allocation optimization. Healthcare companies use this software to enhance patient care, streamline operations, and improve healthcare delivery. Additionally, it aids in identifying trends, predicting disease outbreaks, and ensuring regulatory compliance, contributing to better healthcare outcomes and patient satisfaction.

Fintech

Customer analytics solutions that we develop for fintech businesses offer insights into financial behavior, transaction history, and risk assessment. It enables personalized financial product recommendations, fraud detection, and customer segmentation for tailored services. Fintech companies leverage our services to enhance CX, mitigate risks, and improve decision-making related to lending, investment, and financial services, ultimately boosting customer trust and loyalty in the highly regulated financial sector.

Martech

We create customer data analytics software solutions for martech businesses that provide in-depth data on user behavior, campaign performance, and audience segmentation. It enables precise audience targeting, personalized marketing automation, and A/B testing for optimization. With these capabilities, martech companies can deliver more effective marketing campaigns, improve conversion, and enhance overall marketing strategies.

Our Portfolio

Over the past 12+ years of work, we’ve completed 130+ bespoke software development projects for startups, SMBs, and enterprises. Explore the challenges that we addressed and the variety of custom software solutions our team has developed.

Medical System Software: Automating record-keeping in medical research

Development of a financial assistant app for an Eastern European bank

Loan Management System Based on Salesforce

Subscriber Concierge Tool for Publishers

How We Work

As a full cycle software development company, we synchronize our development approach with our clients’ business goals and project nuances to deliver the right solution in the right time. Explore our engagement models, and choose which one works best.

Tech stack

We’ve selected the best combination of tools and technologies to collect, store, process, analyze, and visualize data to ensure comprehensive functionality of a customer analytics platform of any complexity.

Programming Languages

Golang, Python, SQL, T-SQL

Technologies / Frameworks / Libraries

Django, Numpy, Pandas, Docker, Airflow, Jenkins, Grafana, Prometheus

ETL Tools

Microsoft SQL Server Integration Services (SSIS)

Data Integration Platforms

Apache Kafka, Apache Airflow

Data Storage and Databases

Microsoft SQL Server, Oracle, PostgreSQL, MySQL, SQLite, Redis, MongoDB, DynamoDB, AWS S3, ClickHouse, Amazon Redshift, Google BigQuery, Snowflake

Data Science

TensorFlow, Keras, Scikit-Learn, Pandas, Numpy, Dask, Matplotlib

Predictive analytics

XGBoost, CatBoost, LightGBM

NLP

NLTK, Spacy, DeepPavlov, fastText, Pymorphy2, HuggingFace

Testing

ETL Testing, Data Quality, Test Automation

BI tools

Power BI, Tableau

Others:

OS: Windows, Linux, MacOS
Methodologies: Agile, Scrum

The Lightpoint difference

Our team helps to unlock the potential of customer data, refine strategies, and ultimately deliver superior experiences. What helps us is the expertise in data-driven solutions, the capacity to customize software for diverse industries, and the commitment to continuous innovation.

Expertise in Data-Driven Solutions

Lightpoint team specializes in creating software that harnesses the power of data analytics. Our expertise extends to data collection, processing, visualization and more. This proficiency allows businesses to derive valuable insights from customer data, optimize strategies, and enhance experiences.

Customized Solutions for Diverse Industries

We tailor customer analytics solutions to meet the specific needs of various industries. This adaptability allows businesses from martech to healthcare, to address industry-specific challenges and access and monitor the most relevant metrics and KPIs.

Innovative and Future-proof Approaches

We are committed to staying updated with the latest trends and advancements in customer analytics services. We integrate new technologies, such as machine learning and AI, into our solutions, ensuring our clients maximize the value of their data.

FAQ

What data types are typically involved in customer data analytics?

Our bespoke data analytics systems embrace various types of customer data, including demographics (age, gender, location, etc), online behavior, purchase and payment history, customer service interactions, social media engagement, and more according to your business demands. Our general aim is to gather and analyze complete and versatile sets of data to enable deep audience understanding and highly personalized, targeted strategies.

How do you ensure the privacy and security of customer data within the customer analytics systems that you develop?

We ensure all-round protection of data by multiple security measures. Among examples is data encryption, anonymization techniques, access controls, authentication protocols, compliance with regulations such as CCPA, GDPR, etc. Our team regularly enriches and reiwises expertise in data protection best practices as well as cybersecurity advancements to maximize the coverage of malicious scenarios.

What KPIs customer analytics software that you develop can track?

As we develop bespoke customer analytics systems, they can track literally any KPI according to your business needs. Speaking on our completed projects, they enabled our clients to track Customer Lifetime Value (CLV), Customer Churn Rate, Customer Acquisition Cost (CAC), Customer Retention Rate, Average Order Value (AOV), Conversion Rate, Repeat Purchase Rate, Net Promoter Score (NPS), Customer Satisfaction (CSAT) scores, Engagement Metrics such as click-through rates and time spent on site, and many more.

How are the customer analytics outcomes presented visually? Are they easy to interpret?

We strive to make customer analytics easy to interpret for employees regardless of their technical level. That's why we develop versatile visualizations such as custom dashboards, charts, maps, graphs and more per your organization’s needs and preferences. We also implement a user-friendly interface for your employees to manage and customize insights smoothly. Additionally, you can opt for features like notifications, summaries, or recommendations that would guide users through the insights.

What are some common techniques and methodologies used in customer data analytics?

There is an extensive list of customer data analytics methodologies, so let’s overview some frequently used ones: Descriptive analytics produces summaries based on historical data to analyze past customer behavior Predictive analytics produces forecasts by means of ML algorithms that analyze historical data and derive algorithms, patterns, and trends for the future Prescriptive analytics provides recommendations to optimize business operations, marketing strategies, resource allocation, or whatever Segmentation analysis divides audience into several customer groups by certain criteria Cohort analysis produce insights on several customer groups that possess some common characteristics

What factors should be taken into account when developing customer analytics software?

Consideration process may vary depending on your business objectives and requirements, but some common factors include types of customer data you need to analyze, data sources, desired format of outcomes (e.g. tables, graphical visualizations, etc), scalability needs, and options of integration with your existing IT ecosystem.