A new report from data solutions expert, Sagacity, investigating how data can help to define and transform telecom customer base value shows data is an Achilles heel for many. The report finds that, while 97% of organisations say they are serious about being value-driven, fewer than one in five (17%) have successfully transitioned to this model.
As a result, 80% admit Average Revenue Per User (APRU) continues to be the main way they measure profitability; with two fifths creating bundles by making assumptions on what people want.
The report – The Value Vs. Volume Conundrum: Carving out a systematic path to profitability – analyses responses from 200 telecom professionals from the UK, US, and rest of Europe with responsibility for customer value base management. It highlights several data challenges that are preventing organisations from becoming value-driven:
- Complexity clouding visibility: Almost three-quarters (74%) said growing complexity is making it harder than ever to join up customer data – with 72% lamenting that they ‘sometimes miss the simplicity of the dumb pipe’. As a result, none of the respondents said they felt fully confident in their ability to get an individual customer view.
- Incomplete CLV data: Customer Lifetime Value (CLV) data is supporting critical business decisions, including discounting offerings (80%), tariff structures (74%), channels (also 74%), and bundles (72%). However, these calculations often exclude key factors, such as tenure, household spend, churn propensity and cost to acquire and retain customers.
- Lack of data accessibility: Almost half of respondents (46%) are unable to access quality data in a timely and easy way, almost half of whom said that decisions are subsequently made on flawed logic. Almost a fifth (17%) go as far as to say that they are “embarrassed” by the quality of their data.
“Without a granular and accurate understanding of the drivers and levers that impact value, organisations could be losing out on millions of pounds worth of revenue ever year,” comments Harry Dougall, Co-Founder of Sagacity. “CLV can be a really useful metric, but if you’re using it to make critical decisions on big ticket items, such as discounts and tariffs, then you have to be sure it’s accurate. Relying on inaccurate CLVs or smearing costs – e.g. spreading costs across multiple centres and working with averages – can result in very expensive errors. For example, calculating CLV without initial investment costs or length of tenure can be worse than useless. Ultimately, all facets of the customer must be included to create one, true picture.”
Garbage in, garbage out – how poor data quality and access is impacting profitability
The data shows that lack of data access is impeding business decision making. Two fifths of those who said they were unable to get access to timely and accurate data said that this meant decisions are either made too late (41%); made on gut feel rather than data (40%); or made using models based on assumptions and averages (39%). As a result, 41% said that poor data access and quality means the wrong decisions are made.
These data gaps are harming profitability and making it more difficult for organisations to be value-driven:
- 56% of respondents complained that churn reports are often based on two-year-old data, which is useless to them.
- Almost a quarter (23%) of their marketing campaigns miss the mark and fail to get the right level of ROI due to a lack of precise data – with over a quarter (26%) saying marketing often feels like guesswork.
- 36% say that deep discounting is eroding profit margins, but if a competitor drops prices, they always follow suit
- One in five (20%) said their data is so siloed that they are constantly missing low-hanging opportunities for cross-sell and upsell.
“With millions of pounds at risk, telcos need to ensure they are making the right long-term decisions and understand the impact of these decisions over time. Whether it’s the choice to offer free broadband installation, subsidised mobile phone handsets, or designing new commission structures, tariffs and bundles – operators need to balance the risk and rewards in a data-driven way to ensure a return on investment,” Dougall continues. “To do that, decision makers need access to the right data, at the right time, in the right context. But data is often not being collected, interpreted, harmonised and surfaced within the context of the business. As a result, the reporting of that data is often meaningless as it is not timely, complete or actionable. This leads to bad decisions, such as deep discounting, which can force operators into eroding their margins when they don’t need to.”
Is the telecom ‘do it yourself’ mentality holding organisations back?
This lack of access to timely data is in part due to a conflict of priorities between IT and the wider business. 80% say a lack of internal resource and knowledge is preventing them from being data-driven, as an average of four to five projects languish in IT queues. Of the 65% who say their IT teams prefer to build solutions in-house, rather than using external products and experts, 99% have experienced problems such as:
- Deepened dependency on legacy tools
- Delays which prevent the business from being agile
- Interoperability issues with other off the shelf tools
- Compromises on features and scope
Ultimately, this means that almost one in five (18%) say they are unable to achieve what they set out to achieve and almost a third (32%) say the final product is often not as high standard as they could get elsewhere.
“To be a leader that oversees transformational change to the bottom line, it’s essential to take a systematic approach to value management,” Dougall concludes. “Unravelling value shouldn’t be left in the hands of IT. Building a value-based management platform from scratch requires a combination of experienced data engineers, commercial analysts and technical developers all working together that most organisations simply don’t have. It’s a false economy to try and build a value-based management platform inhouse, or worse, trying to do these complex calculations in Excel. Ultimately, you wouldn’t build a billing system, so why try to build an even more complex value management system yourself?”