Intent HQ ranks in Europe’s fastest growing companies shortlist, the FT1000
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Marking a turning point in the company’s development, Intent HQ, the privacy-first Customer AI Platform optimized for Telcos and their user data, has been included in the Financial Times’ sixth annual list of Europe’s fastest-growing companies, the FT1000.
Compiled during a time of uniquely difficult business challenges, this latest Financial Times and Statista success ranking is made up of the Europe’s most resilient and innovative companies. Selected from tens of thousands of entries, it includes the companies that were successful in surviving the Covid pandemic and other economic disruption within the industry to emerge stronger than ever.
Intent HQ’s technology platform delivers true personalization for telcos through a privacy-first approach that empowers clear customer insights based on actual consumer behaviour.
To make the listing means Intent HQ has outperformed over 200,000 other similar sized SMEs to achieve the continent’s highest compound annual growth rate in revenue between 2017 and 2020. This year, the minimum CAGR required to make the current list was 36.5 per cent — slightly above the 35.5 per cent needed previously.
Jonathan Lakin, CEO at Intent HQ says, “Our mantra is to deliver at least a three times ROI to every one of the customers we work with, solving the really difficult problems they face when it comes to understanding their end consumers. Our technology sits right at the cutting edge of advanced analytics and machine learning and we are delighted to have made the FT’s final 1000.”
Personalization and customer value management are already a key growth driver for telecoms. McKinsey says about 70% of Telecoms have at least a pilot project underway and many are successful.
Customers expect relevant communication. Each customer that makes up a brand’s customer base is a unique individual with various needs, expectations and pain points. To effectively communicate and support them, organizations must acknowledge their diversity, and act accordingly. Customer segmentation refers to the process of dividing customers into subgroups based on similar characteristics and variables […]
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