DATA, DIGITAL AND
Capture, aggregate, analyse & report, and predict customer needs and wants
Customers buy when they have a need, not because organizations sell.
But how do you anticipate these needs?
Till 20 years ago, needs were analyzed for large segments of customers.
Till a few years ago, needs were analyzed for segments of 1.
Now, with modern AI systems, the needs of a particular customer can be analyzed, changing from moment to moment.
How do you do that?
The Data to Insight journey has multiple stages:
Analyze & Report
Customers leave clues all
over the place
walk into your
Some of these clues are already captured in databases in different transaction systems. Some of these customer actions are not captured. Customer behaviour on portals and mobile apps for example. The first step is to identify and capture all the sources of data that represents customer behavior.
Xerago identifies key data gaps and also implements tools to capture missing areas, using tools such as Adobe Analytics, Ensighten Tag Management Systems, and other capture mechanisms.
It is not enough to capture data in different systems and sources. Without stitching these heterogeneous data sources together, you can only get a fragmented picture.
your web analytics platform tells you that a particular IP address spent time on a product page of your website.
When you marry that information with your transaction systems, you figure out the IP address belongs to an existing customer.
Targeting that customer with the relevant offer now becomes trivial.
You can aggregate data in a
number of ways. Usually, we use
tools to aggregate all the data into a Data Mart, or a Data Warehouse of some kind. Once aggregated, this Data Mart becomes your system of record.
Xerago implements and maintains both closed source and open source
“Extract-Transform-Load” solutions to help organizations aggregate and organize data.
ANALYZE AND REPORT
The next step is to analyze performance.
How did your marketing campaigns perform across channels?
Which region showed the maximum growth over the past period?
Did seasonality play a role in driving sales?
Which offers were the most effective?
All these queries get answered in the form of marketing and business dashboards and reports that give a clear visual of performance.
Xerago uses Digital Analytics, Business Intelligence and Visual reporting tools to derive metrics, design reports and dashboards, drill-down and analyse reasons for outcomes.
Finally, to help
group customers into homogeneous groups of segments
predict behaviors and outcomes
Likelihood of conversion (response rate prediction, for upsell or cross-sell)
Propensity to engage and stay loyal to your brand
Categorization (market basket analysis)
Likelihood of attrition (churn modeling)
Share of Wallet
Frequency of purchase
Xerago can help with any stage of your data journey, whether your organization has just taken its first tentative steps in this journey, or whether your Data Scientists have already deployed a bunch of models that you need maintained and improved to ensure that the models stay robust.
Xerago's Data, Digital and Marketing Analytics practice tracks metrics, delivers dashboards and reports and predicts behaviours and outcomes using a multitude of Business Intelligence and Analytics tools, statistical models and machine learning / AI systems.
OUR SUCCESS STORIES
Xerago helped a multinational Banking & Financial Services corporation create an online platform, simplifying processes and saving them from a logistical nightmare.Read more
Xerago's key insights helped a global banking giant identify their mobile app users' pain points, and helped the bank rectify and release patches on time, improving their NPS score to boot.Read more
Xerago helped one of India's growing life insurance companies build a model to identify potential early claimers in advance, allowing for more investigation prior to offer of insurance.Read more
Xerago built a successful Cross Sell model for a growing life insurance company in India.Read more
Xerago helped dramatically reduce attrition rates for a major Indian telecom giant by developing a predictive churn model.Read more
Xerago enabled the consumer division of the financial services of a multinational banking group, increase lead form conversion from 3% to 11% in key markets as well as help the client invest wisely in select channels rather than pushing equally across channels.Read more
Xerago helped the largest foreign commercial bank in the Philippines achieve a whopping 406% increase in average daily booking transactions.Read more
Xerago successfully addressed issues around poor traffic to key pages of the website for a major public-listed company with global presence.Read more
How Xerago helped a global banking giant, fix the imbalance on digital marketing spend to revenue generated, which had put a significant strain on their finances.Read more
Thanks to Xerago's careful monitoring and timely intervention, a major public-listed banking giant was able to resolve poor conversion rate percentages on one of their APAC region sites.Read more
Xerago helped a major public-listed banking giant successfully resolve their pathing issue on one of their APAC sites.Read more