How a Telco Values Customer Loyalty Using Teradata and Advanced Analytics

2018年1月9日 3 分で読める

Evaluating customer value management (CVM), where business try and understand the overall profitability of a client now or into the future, is paramount to success in the highly competitive world of telecommunications. But when companies adopt a “fail fast” mentality, exactly how far these companies can drill down into the many indicators of CVM, leveraging as much automation as possible, is fairly impressive.

That’s the story of one Teradata partner, a telco company with a footprint in nine countries, billions in revenue and millions of subscribers. The company does everything it can imagine to try and analyze its customers and its market.

To drive these insights, the telco has parsed out its customers into many market segments to understand their propensity to spend more, tell others about their service or churn. The company currently breaks up its customers into eight behavior-based segments: premium customers, traditional customers, loyalists, sociable customers, labor (blue-collar workers), texters, data junkies and sleepers (customers that aren’t active). The challenge here is watching out for segment migration, customers that were premium one month but then are traditional the next month. If they can detect that in advance through analytics, the company can perhaps incentivize customers to stay more loyal or engaged, or they can prevent downward migration using marketing campaigns and offers.

They also do role-based segmentation, where customers have a specific set of characteristics that can be leveraged to drive activities. They break customers up into segments like alpha users, followers, communities or bridges, each noting how that customer interacts on behalf of the brand with others. For instance, if an alpha user switches products, and perhaps tells everyone about it on social media, then their community will jump with them, meaning those customers have a higher CVM. Social media analysis helps the company examine key relationships between its customers. It tries to determine non-trivial relationships between customers, like family members, friends and business relationships, through social channels. The company also does traditional value-based segmentation.

All these moves have enabled the telco to switch from focusing on key performance indicators (KPIs) set around revenue to KPIs focused on earnings before interest, taxes, depreciation and amortization (EBITDA). This means the telco now focuses on profit per customer over time versus a revenue-based customer view.

Some of the other ways the telco determines the value of its customers include geomarketing, segmenting out where a customer is likely to be at different times of day, like home, work, weekend and after work recreation times. The locations, which are based on passive and triangulated location data, help the company provide tailored offerings based on location, optimize sales resources and understand their regional market share.

The overall goal is to glean as much value as possible from a customer — not just through the telco’s offerings, but also through its partners. For instance, if a customer is online looking at flights and then books a flight and hotel room through a partner in the travel industry, the telco’s CVM score can identify the traveler and offer him or her a taxi service for pickup and drop off and the airport using their loyalty points. They could push that customer once at the airport to shop at one of their retail partners’ stores through a geolocation officer, and before they board their flight, the telco could get a real-time roaming offer for a certain amount of data and minutes when they are overseas.

Through its commitment to applying advanced analytics to CVM through sophisticated market segmentation, the telco has created a complete marketing and sales ecosystem driven by data.

For more, read stories about how other telecommunications and media companies are using advanced analytics to better acquire and engage with customers.

会社情報 Teradata

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