Telco customers reward true personalization with high ROI. At the same time, they demand a brand experience that protects their privacy. A dataset that could solve both of those issues, when used correctly, is weblogs. An incredibly underutilized asset that all telcos possess. However, concerns about privacy, scalability challenges, and fears of potential misuse have created significant hesitation.
How can telcos find the right balance, being respectful of customer data? And yet harnessing its power to deliver the relevance customers expect?
What to expect from this eBook:
What the main blockers are for telcos when it comes to using this rich data source and how to overcome them
How we successfully utilize weblog data in a privacy-safe way to ensure customer identities are protected throughout all processing stages
The ways in which Intent HQ process the massive amounts of data weblogs provide to ensure marketers and data scientists derive the most value out of them
The benefits of using this under-utilised data source can have for your marketing activities
Download our eBook to find out how to utilize your weblog data in a privacy-safe way to supercharge your marketing activities.
In this podcast episode, our Chief Revenue Officer, Jonathan Woolf, sits down with Nicky Daniels from Innovation Martlesham to dive into the world of telcos and explore how big data and artificial intelligence are revolutionizing the industry.
This is the dream: you put vast troves of data to work, accurately predicting each customer’s wants and desires, creating individually tailored marketing, sales, and service. You solve problems before they become problems. You operate like a nimble and personalised small business, but at massive scale. Your customers love you. Your competitors wither away.
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Getting customer segmentation right is easier said than done. In many cases, businesses’ efforts are hampered by complex data analysis processes that may require a large investment by the data science team or the use of third-party consultants to develop the right models. Because these efforts take so long and are so expensive to complete, […]