Case Studies

Mobile Technology Identify New Market to increase Market Share

Over 60%  in emerging market still can’t afford a $700 phone and these customers are not bond to any brand, meaning a huge potential for market share increase. A leading cell phone provider engaged with TKG analytic team to analyze their competitor’s customer journey to identify underserved customers who were most likely to buy. TKG applied look-alike modeling techniques to identify market segment patterns behind a potential 500 mm potential market. 

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Retail Chain Adopts Analytics to Speed its Digital Transformation

Declining footfall and revenue were a concern to our client, which managed a number of markets, and the individual traders themselves. After detailed research, using analytics and predictive science, they identified new, feature conscious, non-retail user personas as well as ways to uniquely target them to build an improved retail offer across the entire market portfolio. This included a self-analysis tool that allowed the manager to evaluate their strengths and weaknesses and introduced more professionalism into their businesses. Follow up visits confirmed a vast improvement in the sales of all the market, increasing search engine marketing (SEM) and digital campaign impressions by 15.5% and total campaign revenues by 2.5%.

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Consumer Brand

Increases Leads and Conversions Through Improved Persona Targeting

Faced with the challenge of increasing year-over-year revenue by $100 million, a Fortune 100 consumer electronics company turned to Predictive Science for help discovering new leads to boost revenue. Predictive Science identified new personas and optimal marketing channels for each personal leading to a 20% increase in leads and 2-5% increases in conversion rates.

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Healthcare Provider Uncovers New Personas and Increases Revenues

A leader in healthcare service company used Predictive Science technology to discover personas for the launch of a new health product. Using Predictive Science technology, they identified new, feature conscious, non-health user personas as well as ways to uniquely target them, increasing Search engine marketing (SEM) and digital campaign impressions by 15.5% and total campaign revenues by 2.5%.

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Startup imbeds data-driven product to increase penetration and reduce attrition

An analysis of our client’s store product features and design process was undertaken to identify user experience improvements that would boost adoption, reduce user attrition and increase product sell-through. As a result of the recommendations we presented, the client saw: a sales increase for the category of 5.6%; a 12% improvement in the first 3 months and user experience; a 23% adoption increase.

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Financial Service Provider Leverage AI & ML to Build Augmented Intelligence

Today in the financial service world about 50% of the work can be streamlined—like figuring out a risk profile, re-balancing, tax-loss harvesting—can be automated and done so cheaply with technology.

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Leading Hospitality to Uses Big Data as a Real-time NPS and to Identify the Financial Impact of Bad Customer Experiences.

Our client managed apartment hotels globally but was unhappy with its market penetration in Africa. We were asked to assess and reformat the entire emerging market proposition. Using big data and an array of proprietary algorithms to help client scores customer experience in real-time, giving clients a dynamic “Net Promoter” style Brand Score and ability to highlight the issues with the current offer. The results, after implementation, included a 10% increase in sales from launch and, most importantly, a much-improved guest satisfaction score. The hotel could experience a 19% increase in brand awareness. 

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Data Provider use its customer data as strategic assets

The firm was trying to put their information to work by teasing out novel patterns, driving productivity, and creating new solutions. In an increasingly customer-centric world, the ability to capture and use customer insights to shape products, solutions, and the buying experience is critically important. Working close our Data Science team we were able to help layout data strategy and use its customer data as strategic assets. Using big data and an array of proprietary algorithms to help the client build data-driven products and scores, giving clients a new niche market that can allow the company to build a competitive advantage. The results, after implementation, included a 5% increase in sales from launch and, most importantly, a much-improved product offering.

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Non-profit use data analytics to improve decision-making

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Non-profit & Governance

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