Intent HQ included in recent Forrester report for Customer Analytics
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Intent HQ today announced its inclusion in the recent Forrester report: Now Tech: Customer Analytics Technologies, Q1 2018.
Forrester Now Tech reports are widely recognised as a guide to business leaders looking to understand and evaluate technology solution landscapes. This report highlights how businesses can use customer analytics technologies to increase acquisition, drive retention and loyalty, and improve the customer experience. It offers insights on suppliers in three key segments and guidance on how best to approach strategy and selection.
Intent HQ has been identified as part of the customer analytics solutions segment. The other two segments are customer data platforms and customer analytics toolkits.
Speaking about the report, Intent HQ CEO Jonathan Lakin commented: “Forrester’s recent report provides further insight into how businesses can transform by delivering relevant experiences that deepen customer relationships. We are seeing Customer First transformations being kicked off in CSPs around the world including at clients like Verizon. We have already seen this strategy deliver value for Teléfonica UK (O2), and are delighted to have our capabilities recognised by Forrester in this report.”
Intent HQ provides the only purpose-built data platform for telecommunications businesses to create new value from their vast customer data. Intent HQ’s AI guides sales and marketing to improve customer experiences, customer engagement and organisational decision making. Read more about how the Intent HQ platform helps businesses become Customer First.
The report authored by Brandon Purcell is available to download (for Forrester subscribers) here.
“The objective of the Intent HQ Chair in Changing Consumer Behaviour is to advance the knowledge about consumers through best-in-class models and processes based on digitally-acquired mass data, while creating an unparalleled test bench where we will be able to test quantitatively different customer models in real-world-environments.” said Prof. Nueno
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