Retail: Maximize customer profitability

Leading companies and retailers in the fashion industry have come to accept the Internet as a powerful sales tool and highly useful to achieve positioning in the market. It's common for companies of this sector to generate higher sales through their online store rather than through their retail stores.


The Challenge

  • More agile and accurate segmentations
  • Advanced tracking of customer behavior
  • Better campaign results
  • Design of customized offers

Why BIRT Analytics?

  • Easy integration of data form heterogeneous sources: web, transactional data and campaigns
  • Advanced knowledge of web visitor behavior
  • Advanced analytics to prevent customer churn and identify the best product to recommend
  • Early detection of loss of customer value
  • Sales of proximity, by cloning (iteration campaigns)
  • All in a self-service and agile way, that allows users to obtain key business insights right at the moment and with total independence from IT

Benefits

  • Predictive analytics techniques to anticipate to customer behavior by identifying the main factors that influence in their satisfaction, long-term relation and sales results
  • Valuable segmentations instantly
  • Anticipate to customers demand in order to optimize sales and stock
  • Identify cross-selling and up-selling opportunities
  • Connect offers to the right customer segments based on demographic, geographic, attitudinal and behavioral data
  • Campaign planning to automate the launch of relevant offers
  • Churn prediction and soon detection of conversion opportunities
  • Sales forecast by product hierarchy level (brand, group, family)

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Venn Diagram
Venn Diagram: Analysis in detail of all the ticket lines (hundreds or thousands of million), loyalty cards, etc. to obtain a 360º customer view.


Workflow
Workflow: BIRT Analytics tracks campaigns in real time, analysing, correcting and evaluating results according to different criteria.


Forecast
Forecast: Lower costs: early detection of the loss of customer value, prediction of customers churn, demand anticipation.

Business Units: Maximum client profitability through all channels

Recent studies from Aberdeen Group* show that companies using advanced and predictive analytics techniques in their data, have a year over year 13% increase in the average value of their sales transactions, compared to a 2% decrease at other companies that do not use them.

To maximize the value and profitability of the customer base it is necessary to integrate a single platform for all traditional operations along with effective ′eBusiness′ strategies, for obtaining a comprehensive business view, perform advanced tracking of customers’ behavior, accurate segmentations and effective campaigns.


Increase the customers′ lifecycle

  • Integrate online and offline data sources
  • 360º view of clients, prospects and operations
  • Greater efficiency and effectiveness of campaigns
  • Ability to optimize logistics processes by reducing costs and unnecessary expenses

The Solution: BIRT Analytics

  • Advanced analytics to identify: best product to recommend and track the path of purchase
  • Early detection of customer churn
  • Detailed and precise segmentations
  • Detection of cross-sell and / up-sell opportunities
  • Total control of ad-hoc campaigns
  • Identification of the best customer profile
  • Campaign planning to automate the launch of relevant offers
  • Advanced and predictive analytics techniques for understanding the customer profile and launching campaigns according to their needs
  • With a self-service and agile methodology, users can obtain key business insights right at the moment and with total independence from IT

Benefits of BIRT Analytics

  • Easy data integration from multiple sources: web, emailing, social media, and transactional
  • 360º business view from a single platform
  • Identification of the main factors that influence on customer satisfaction
  • Connect offers to the right segment based on demographic, and behavioral data
* Aberdeen Group: ′Divide & Conquer: Using Predictive Analytics to Segment, Target and Optimize Marketing′. February 2012

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Workflow
Workflow: Campaign planning to automate the launch of relevant offers.


Profile
Profile: Advanced and predictive analytics techniques for understanding the customer profile and launching campaigns according to their needs.


Venn Diagram
Venn Diagram: All in a self-service and agile way, that allows users to obtain key business insights right at the moment and with total independence from IT.

eCommerce: Boost the effectiveness of marketing campaigns

eCommerce companies need to easily integrate large data sets that come from miscellaneous sources (web, transactions and campaigns) for a 360º view of their customers. Companies need to speed up and reduce demand analysis cycles. Obtain a detailed profile of customers′ behavior in real time.


Improve customer retention and acquisition rates and spread customer value and increase the lifecycle.

How to forecast campaigns' response and replicate successful campaigns to increase sales.

Calculating the probability to successfully make a contact through marketing campaigns:

    • Identify opportunities in order to reflect an increase in sales
    • Early detection of the next best product and identifying cross selling opportunities
    • Prevent customer churn
    • Track the path to purchase in real-time
    • Agility in demand analysis

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Venn Diagram
Venn Diagram: Detect conversion opportunities.
Campaign Workflow
Workflow: Workflow: Integral campaigns’ management.


Forecast
Forecast: Lower costs: early detection of the loss of customer value, prediction of customers churn, demand anticipation.
Profile
Profile: Creates customers’ behavioral profiles.


Venn Diagram
Venn Diagram: All in a self-service and agile way, that allows users to obtain key business insights right at the moment and with total independence from IT.

Pure Click: Predict Customer Behavior and Increase Sales

eCommerce companies that operate only through Internet (Pure-Click) need to have a detailed vision of their clients′ behavior, and the agility and flexibility for reacting as fast as the market requires. Customer service is a key element of their success and therefore, in all phases of the buying process (from client’s web visit to product delivery) they must operate in compliance with high quality levels.


The Challenge: Detailed view of each client’s behavior

  • Understand the path of purchase to perform very fast analysis
  • Predict and prevent customer churn
  • Get a complete and individualized vision of customers and prospects
  • Predict customer demand for product stock optimization and reduction of unnecessary costs and expenses

The Solution: BIRT Analytics

  • Predictive analytics techniques for anticipating to customer behavior by identifying the main factors that influence in their satisfaction, long-term relations and sales results
  • Demand anticipation in order to optimize sales and stocks
  • Identification of cross-selling/up-selling opportunities
  • Identification of suitable offers for specific customers' segments, based on demographic, geographic, attitudinal and behavior data
  • Campaign management and automation
  • Accurate segmentations instantly based on customer profiles
  • Customers churn prediction and early detection of conversion opportunities

Why BIRT Analytics?

  • Increase revenue: proximity sales, by cloning (iteration campaigns)
  • Lower costs: early detection of the loss of customer value, prediction of customers churn, demand anticipation
  • Unified view of customers by integrating data from social media (Twitter, LinkedIn, Facebook), web, campaigns results and transactional data
  • Higher campaigns' effectiveness and ROI: advanced analytics for determining the customer profile most likely to respond
  • Agility and user autonomy: analysis of large volumes of data with total independence from IT

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Venn Diagram
Venn Diagram: Unified view of customers by integrating data from social media (Twitter, LinkedIn, Facebook), web, campaigns results and transactional data.


Workflow
Workflow: Increase revenue: proximity sales by cloning (iteration campaigns).


Profile
Profile: Higher campaigns' effectiveness and ROI: advanced analytics for determining the customer profile most likely to respond.

eGambling & Online Gaming: How to increase customer acquisition and reduce abandonment

In the competitive eGaming industry leading companies require fast and agile ways for analyzing their customer base in order to establish effective strategies that improve their gaming experience, increase loyalty, and generate new business. Valuable business insights obtained from their own data empowers companies to deliver gaming experiences that will have customers feel exclusive, and also help business executives make fast and more informed decisions.


Challenge: Maximize customer value with successful gaming experiences

    • Agility and autonomy for analyzing big volumes of data at a high level performance
    • Easily identify the best product to recommend based on demographic and behavioral data
    • Identify cross selling opportunities
    • Prevent customer churn Automate marketing campaigns
    • Loyalty programs management
    • Unified view of players and better understanding of their preferences on: sports, poker, casino, games
    • Design customized offers and promotions
    • Understand the main aspects that influence on players behavior to drive greater gaming experience and revenue
    • Predict and improve response rates of marketing campaigns

The Solution: BIRT Analytics –Quick and easy segmentations by product type.

      • Predict tendency to churn, detect cross and up selling opportunities, best product to recommend
      • Advanced and predictive analytics techniques for better targeted offers: forecasting and optimization of clients, profiling and player behavior analysis
      • Marketing campaigns automation
      • Consistent, secure, and accurate customer base information

Benefits of using BIRT Analytics

      • Agility and the capability of analyzing millions of data sets instantly and securely in a self-service mode at record breaking speeds
      • Provide more effective loyalty programs and a personalized customer experience by linking specific offers with specific segments
      • Better understanding of players´ behavior, their churn tendency and how to prevent it
      • Increase customer satisfaction
      • Maximize the current customer base, retain and encourage the most valuable ones
      • Deeper analysis of campaigns results and their direct impact on the business
      • 360º client and business view

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Evolution
Evolution: Dimensional correlations present the evolution of values over time by crossing different variables and scenarios.


Profile
Profile: Draw players’ profiles and detect the best product to recommend.


Venn Diagram
Venn Diagram: Cross data referred to customers who played/bet on different periods and find cross selling opportunities.


Decision Tree
Decision Tree: Create samples and classifications of players and extrapolate them to the whole customers and prospects universe to clone sales.

Travel & Tourism: Increase sales through personalized offers

Online travel sites give the advantage to online travel agencies, tour operators and airlines by directly interacting with customers and offering them a more direct and effective product that meets their preferences and needs. Their main challenge is to promote the services portfolio through highly effective promotions and campaigns to generate greater sales volume, competitiveness and efficiency.


Increase sales through personalized offers

    • Analysis of consumer behavior
    • Data integration from social media (Twitter, Facebook, LinkedIn), web, CRM, ERP, emailing, and campaigns
    • Integrated marketing campaigns management
    • Identify the best product to recommend to each client

The Solution: BIRT Analytics

        • Advanced analytics to identify association rules between reservations, rooms and vacation packages, analyze the shopping cart and matrices of product / service
        • Advanced segmentations to offer personalized products
        • Predictive analytics to determine behaviors, anticipate demand, and then adjust the pricing policy to fluctuations

Benefits of BIRT Analytics

        • 360º customer and business view
        • Improvement and speed-up of the decision making process
        • Business resources optimization and cost reduction
        • Anticipation to cross selling and up selling opportunities
        • Increase conversion and quality of the service

Why BIRT Analytics?

        • Vision of the main factors that influence in customer satisfaction
        • Campaign planning for automating the launching of relevant offers
        • Advanced and predictive analytics for understanding the client profile and launching more profitable and effective campaigns
        • With a self-service and agile methodology, users can obtain key business insights right at the moment and with total independence from IT

Start Your Free Trial


Bubble Chart
Bubble Chart: Vision of the main factors that influence in customer satisfaction.


Workflow
Workflow: Campaign planning for automating the launching of relevant offers.


Profile
Profile: Advanced and predictive analytics for understanding the client profile and launching more profitable and effective campaigns.
"This product meets a need that we see evolving. We already have good BI, but we want to be able to intuitively drive analysis of client behavior and product performance. The insights BIRT Analytics can give us into who is likely to do what, when and where, will enable a massive improvement in both our product development and the quality of advice we can give our clients. It will also increase the effectiveness of our decision making." Steve Hemsworth, Managing Director, Golfbreaks.com
BIRT Analytics Customers
Why Customers Choose BIRT Analytics?
 

BIRT Analytics in Action

The best way for you to understand the speed, agility and effectiveness of BIRT Analytics is to see it in action

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